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[ Stefano Pigozzi | Tema Data Analytics | Big Data Analytics | A.A. 2022/2023 | Unimore ]
# Data analytics
> ### Data processing e exploratory data analytics su dataset provenienti da più sorgenti
>
> L’attività da svolgere consiste nel:
>
> 1. Scegliere due o più dataset provenienti da due o più sorgenti.
> * Il dataset finale deve essere costituito almeno da due file.
> 2. Usando [pandas](https://pandas.pydata.org/) implementare le operazioni di data processing necessarie (principalmente join e selezioni) per mettere in collegamento i dataset e per preparare i dati al passo successivo
> 3. Usando pacchetti Python quali [pandas](https://pandas.pydata.org/), [scipy](https://scipy.org/), [matplotlib](https://matplotlib.org/) e [seaborn](https://seaborn.pydata.org/) implementare attività di data cleaning, exploratory data analysis estraendo dati statistici e di visualizzazione dei risultati attraverso il quale sia possibile "raccontare qualcosa sui dati" (storytelling), eventualmente partendo da dei quesiti di ricerca.
> L'uso dei pacchetti non deve necessariamente essere limitato alle istruzioni viste a lezione. Le documentazioni dei pacchetti stessi e i volumi messi a disposizione su Dolly fornisco spunti d’uso interessanti!
> 4. Produrre un notebook Jupyter (https://jupyter.org/) che contenga:
> * una introduzione all’argomento scelto, alle sorgenti dati e agli obiettivi del progetto specificando eventualmente i quesiti di ricerca
> * una sezione per ogni fase del progetto di data analytics
## [Vedi README.ipynb](README.ipynb)

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Categoria: Tutte le categorie
Mese,Deep Rock Galactic: (Tutto il mondo)
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548430

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"DateTime","Final price","Flags"
"2018-02-28 08:20:42",22.99,
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"2018-04-27 17:10:39",22.99,
"2018-05-10 17:10:57",17.24,
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"2018-11-13 18:20:32",17.24,
"2018-11-18 18:30:14",22.99,
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"2018-11-27 19:25:05",22.99,
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"2019-02-04 19:43:31",17.24,
"2019-02-11 21:58:39",22.99,
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"2019-03-04 18:23:50",22.99,
"2019-03-28 16:10:16",27.99,
"2019-05-22 17:10:36",18.75,
"2019-05-28 17:11:03",27.99,
"2019-06-25 22:12:54",18.19,
"2019-07-09 20:22:49",27.99,
"2019-09-12 17:12:14",18.19,
"2019-09-18 17:10:17",27.99,
"2019-10-28 19:43:31",20.99,
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"2019-11-12 17:24:08",27.99,
"2019-11-21 18:02:52",18.75,
"2019-11-26 17:55:53",27.99,
"2019-11-26 18:08:30",18.75,
"2019-12-03 18:11:45",27.99,
"2019-12-19 18:09:48",18.75,
"2020-01-02 18:13:46",27.99,
"2020-01-23 18:11:25",19.59,
"2020-01-27 18:52:36",27.99,
"2020-02-27 18:21:04",13.99,
"2020-03-12 18:12:33",27.99,
"2020-04-03 19:20:29",29.99,
"2020-05-13 13:00:00",,
"2020-06-25 17:13:55",22.49,
"2020-07-09 18:05:48",29.99,
"2020-09-10 17:01:29",20.99,
"2020-09-28 17:23:09",29.99,
"2020-10-29 17:03:19",20.99,
"2020-11-02 19:13:42",29.99,
"2020-11-25 18:07:25",20.99,
"2020-12-08 18:10:53",29.99,
"2020-12-22 18:06:33",0,
"2020-12-22 18:45:07",20.99,
"2021-01-05 19:48:45",29.99,
"2021-02-11 18:07:28",19.49,
"2021-02-15 19:32:27",29.99,
"2021-02-25 18:08:54",19.49,
"2021-03-14 17:05:18",29.99,
"2021-05-13 17:09:29",17.99,
"2021-05-22 17:05:28",29.99,
"2021-06-22 17:06:35",14.99,
"2021-07-08 18:22:38",29.99,
"2021-09-14 17:12:34",19.49,
"2021-09-21 17:05:24",29.99,
"2021-11-04 17:10:24",14.99,
"2021-11-15 18:01:57",29.99,
"2021-11-24 18:08:32",14.99,
"2021-12-01 18:20:35",29.99,
"2021-12-22 18:02:37",14.99,
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"2022-02-03 18:22:28",29.99,
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"2022-03-07 18:40:15",29.99,
"2022-04-28 10:05:02",14.99,
"2022-05-05 10:05:02",29.99,
"2022-06-09 17:01:45",9.89,
"2022-07-07 17:22:31",29.99,
"2022-08-05 17:01:44",14.99,
"2022-08-12 17:01:44",29.99,
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"2022-11-03 17:10:03",9.89,
"2022-11-17 18:01:47",29.99,
"2022-11-22 18:09:41",9.89,
"2022-11-29 18:22:30",29.99,
"2022-12-15 18:01:47",9.9,
"2022-12-22 18:20:53",9.89,
"2023-01-05 18:28:27",29.99,
"2023-01-21 18:05:03",9.89,
"2023-01-31 18:01:49",29.99,
"2023-03-02 18:01:46",9.89,
"2023-03-23 17:22:29",29.99,
"2023-04-20 17:01:45",9.89,
"2023-05-04 17:01:47",29.99,
"2023-06-15 17:01:49",9.89,
"2023-06-29 13:31:17",9.89,
1 DateTime Final price Flags
2 2018-02-28 08:20:42 22.99
3 2018-04-24 21:20:02 20.69
4 2018-04-27 17:10:39 22.99
5 2018-05-10 17:10:57 17.24
6 2018-05-14 17:13:08 22.99
7 2018-06-21 23:09:08 17.24
8 2018-07-05 17:49:16 22.99
9 2018-09-04 17:10:34 16.09
10 2018-09-07 17:10:36 22.99
11 2018-10-29 17:45:11 17.24
12 2018-11-01 18:51:50 22.99
13 2018-11-13 18:20:32 17.24
14 2018-11-18 18:30:14 22.99
15 2018-11-21 18:55:58 17.24
16 2018-11-27 19:25:05 22.99
17 2018-12-20 18:48:14 17.24
18 2019-01-03 20:06:14 22.99
19 2019-02-04 19:43:31 17.24
20 2019-02-11 21:58:39 22.99
21 2019-02-28 18:10:57 17.24
22 2019-03-04 18:23:50 22.99
23 2019-03-28 16:10:16 27.99
24 2019-05-22 17:10:36 18.75
25 2019-05-28 17:11:03 27.99
26 2019-06-25 22:12:54 18.19
27 2019-07-09 20:22:49 27.99
28 2019-09-12 17:12:14 18.19
29 2019-09-18 17:10:17 27.99
30 2019-10-28 19:43:31 20.99
31 2019-11-01 17:18:56 27.99
32 2019-11-10 16:29:55 24.91
33 2019-11-12 17:24:08 27.99
34 2019-11-21 18:02:52 18.75
35 2019-11-26 17:55:53 27.99
36 2019-11-26 18:08:30 18.75
37 2019-12-03 18:11:45 27.99
38 2019-12-19 18:09:48 18.75
39 2020-01-02 18:13:46 27.99
40 2020-01-23 18:11:25 19.59
41 2020-01-27 18:52:36 27.99
42 2020-02-27 18:21:04 13.99
43 2020-03-12 18:12:33 27.99
44 2020-04-03 19:20:29 29.99
45 2020-05-13 13:00:00
46 2020-06-25 17:13:55 22.49
47 2020-07-09 18:05:48 29.99
48 2020-09-10 17:01:29 20.99
49 2020-09-28 17:23:09 29.99
50 2020-10-29 17:03:19 20.99
51 2020-11-02 19:13:42 29.99
52 2020-11-25 18:07:25 20.99
53 2020-12-08 18:10:53 29.99
54 2020-12-22 18:06:33 0
55 2020-12-22 18:45:07 20.99
56 2021-01-05 19:48:45 29.99
57 2021-02-11 18:07:28 19.49
58 2021-02-15 19:32:27 29.99
59 2021-02-25 18:08:54 19.49
60 2021-03-14 17:05:18 29.99
61 2021-05-13 17:09:29 17.99
62 2021-05-22 17:05:28 29.99
63 2021-06-22 17:06:35 14.99
64 2021-07-08 18:22:38 29.99
65 2021-09-14 17:12:34 19.49
66 2021-09-21 17:05:24 29.99
67 2021-11-04 17:10:24 14.99
68 2021-11-15 18:01:57 29.99
69 2021-11-24 18:08:32 14.99
70 2021-12-01 18:20:35 29.99
71 2021-12-22 18:02:37 14.99
72 2022-01-05 18:21:03 29.99
73 2022-01-27 18:22:28 14.99
74 2022-02-03 18:22:28 29.99
75 2022-02-24 18:01:45 14.99
76 2022-03-07 18:40:15 29.99
77 2022-04-28 10:05:02 14.99
78 2022-05-05 10:05:02 29.99
79 2022-06-09 17:01:45 9.89
80 2022-07-07 17:22:31 29.99
81 2022-08-05 17:01:44 14.99
82 2022-08-12 17:01:44 29.99
83 2022-09-15 17:10:03 14.99
84 2022-09-29 17:01:47 29.99
85 2022-11-03 17:10:03 9.89
86 2022-11-17 18:01:47 29.99
87 2022-11-22 18:09:41 9.89
88 2022-11-29 18:22:30 29.99
89 2022-12-15 18:01:47 9.9
90 2022-12-22 18:20:53 9.89
91 2023-01-05 18:28:27 29.99
92 2023-01-21 18:05:03 9.89
93 2023-01-31 18:01:49 29.99
94 2023-03-02 18:01:46 9.89
95 2023-03-23 17:22:29 29.99
96 2023-04-20 17:01:45 9.89
97 2023-05-04 17:01:47 29.99
98 2023-06-15 17:01:49 9.89
99 2023-06-29 13:31:17 9.89

237
data/factorio/gtrends-worldwide.csv Normal file
View file

@ -0,0 +1,237 @@
Categoria: Tutte le categorie
Mese,Factorio: (Tutto il mondo)
2004-01,0
2004-02,0
2004-03,0
2004-04,0
2004-05,1
2004-06,0
2004-07,0
2004-08,0
2004-09,1
2004-10,0
2004-11,0
2004-12,0
2005-01,0
2005-02,0
2005-03,0
2005-04,0
2005-05,0
2005-06,1
2005-07,1
2005-08,0
2005-09,0
2005-10,0
2005-11,0
2005-12,0
2006-01,0
2006-02,0
2006-03,< 1
2006-04,1
2006-05,0
2006-06,1
2006-07,0
2006-08,0
2006-09,0
2006-10,0
2006-11,0
2006-12,0
2007-01,0
2007-02,0
2007-03,< 1
2007-04,0
2007-05,1
2007-06,0
2007-07,0
2007-08,< 1
2007-09,< 1
2007-10,0
2007-11,0
2007-12,0
2008-01,0
2008-02,0
2008-03,0
2008-04,0
2008-05,0
2008-06,0
2008-07,0
2008-08,< 1
2008-09,0
2008-10,0
2008-11,0
2008-12,0
2009-01,0
2009-02,0
2009-03,0
2009-04,0
2009-05,< 1
2009-06,< 1
2009-07,0
2009-08,0
2009-09,0
2009-10,0
2009-11,0
2009-12,0
2010-01,0
2010-02,< 1
2010-03,0
2010-04,< 1
2010-05,0
2010-06,< 1
2010-07,0
2010-08,0
2010-09,0
2010-10,< 1
2010-11,0
2010-12,0
2011-01,< 1
2011-02,< 1
2011-03,0
2011-04,< 1
2011-05,0
2011-06,< 1
2011-07,0
2011-08,0
2011-09,< 1
2011-10,< 1
2011-11,< 1
2011-12,< 1
2012-01,0
2012-02,< 1
2012-03,< 1
2012-04,0
2012-05,0
2012-06,< 1
2012-07,< 1
2012-08,0
2012-09,0
2012-10,0
2012-11,< 1
2012-12,0
2013-01,< 1
2013-02,2
2013-03,3
2013-04,1
2013-05,1
2013-06,1
2013-07,1
2013-08,1
2013-09,1
2013-10,1
2013-11,1
2013-12,1
2014-01,2
2014-02,2
2014-03,3
2014-04,5
2014-05,19
2014-06,10
2014-07,8
2014-08,12
2014-09,6
2014-10,6
2014-11,12
2014-12,15
2015-01,16
2015-02,12
2015-03,10
2015-04,10
2015-05,14
2015-06,12
2015-07,13
2015-08,14
2015-09,12
2015-10,11
2015-11,9
2015-12,10
2016-01,9
2016-02,21
2016-03,100
2016-04,90
2016-05,55
2016-06,42
2016-07,40
2016-08,33
2016-09,34
2016-10,31
2016-11,33
2016-12,33
2017-01,42
2017-02,47
2017-03,39
2017-04,50
2017-05,78
2017-06,47
2017-07,41
2017-08,42
2017-09,41
2017-10,38
2017-11,39
2017-12,50
2018-01,45
2018-02,39
2018-03,38
2018-04,49
2018-05,42
2018-06,38
2018-07,36
2018-08,30
2018-09,28
2018-10,30
2018-11,31
2018-12,29
2019-01,35
2019-02,34
2019-03,51
2019-04,36
2019-05,34
2019-06,30
2019-07,28
2019-08,27
2019-09,26
2019-10,28
2019-11,28
2019-12,25
2020-01,30
2020-02,28
2020-03,35
2020-04,40
2020-05,30
2020-06,33
2020-07,27
2020-08,68
2020-09,56
2020-10,37
2020-11,29
2020-12,25
2021-01,30
2021-02,32
2021-03,27
2021-04,25
2021-05,23
2021-06,29
2021-07,25
2021-08,25
2021-09,29
2021-10,27
2021-11,24
2021-12,27
2022-01,47
2022-02,44
2022-03,37
2022-04,48
2022-05,46
2022-06,46
2022-07,51
2022-08,47
2022-09,49
2022-10,51
2022-11,54
2022-12,57
2023-01,59
2023-02,49
2023-03,46
2023-04,49
2023-05,39
2023-06,40
1 Categoria: Tutte le categorie
2 Mese,Factorio: (Tutto il mondo)
3 2004-01,0
4 2004-02,0
5 2004-03,0
6 2004-04,0
7 2004-05,1
8 2004-06,0
9 2004-07,0
10 2004-08,0
11 2004-09,1
12 2004-10,0
13 2004-11,0
14 2004-12,0
15 2005-01,0
16 2005-02,0
17 2005-03,0
18 2005-04,0
19 2005-05,0
20 2005-06,1
21 2005-07,1
22 2005-08,0
23 2005-09,0
24 2005-10,0
25 2005-11,0
26 2005-12,0
27 2006-01,0
28 2006-02,0
29 2006-03,< 1
30 2006-04,1
31 2006-05,0
32 2006-06,1
33 2006-07,0
34 2006-08,0
35 2006-09,0
36 2006-10,0
37 2006-11,0
38 2006-12,0
39 2007-01,0
40 2007-02,0
41 2007-03,< 1
42 2007-04,0
43 2007-05,1
44 2007-06,0
45 2007-07,0
46 2007-08,< 1
47 2007-09,< 1
48 2007-10,0
49 2007-11,0
50 2007-12,0
51 2008-01,0
52 2008-02,0
53 2008-03,0
54 2008-04,0
55 2008-05,0
56 2008-06,0
57 2008-07,0
58 2008-08,< 1
59 2008-09,0
60 2008-10,0
61 2008-11,0
62 2008-12,0
63 2009-01,0
64 2009-02,0
65 2009-03,0
66 2009-04,0
67 2009-05,< 1
68 2009-06,< 1
69 2009-07,0
70 2009-08,0
71 2009-09,0
72 2009-10,0
73 2009-11,0
74 2009-12,0
75 2010-01,0
76 2010-02,< 1
77 2010-03,0
78 2010-04,< 1
79 2010-05,0
80 2010-06,< 1
81 2010-07,0
82 2010-08,0
83 2010-09,0
84 2010-10,< 1
85 2010-11,0
86 2010-12,0
87 2011-01,< 1
88 2011-02,< 1
89 2011-03,0
90 2011-04,< 1
91 2011-05,0
92 2011-06,< 1
93 2011-07,0
94 2011-08,0
95 2011-09,< 1
96 2011-10,< 1
97 2011-11,< 1
98 2011-12,< 1
99 2012-01,0
100 2012-02,< 1
101 2012-03,< 1
102 2012-04,0
103 2012-05,0
104 2012-06,< 1
105 2012-07,< 1
106 2012-08,0
107 2012-09,0
108 2012-10,0
109 2012-11,< 1
110 2012-12,0
111 2013-01,< 1
112 2013-02,2
113 2013-03,3
114 2013-04,1
115 2013-05,1
116 2013-06,1
117 2013-07,1
118 2013-08,1
119 2013-09,1
120 2013-10,1
121 2013-11,1
122 2013-12,1
123 2014-01,2
124 2014-02,2
125 2014-03,3
126 2014-04,5
127 2014-05,19
128 2014-06,10
129 2014-07,8
130 2014-08,12
131 2014-09,6
132 2014-10,6
133 2014-11,12
134 2014-12,15
135 2015-01,16
136 2015-02,12
137 2015-03,10
138 2015-04,10
139 2015-05,14
140 2015-06,12
141 2015-07,13
142 2015-08,14
143 2015-09,12
144 2015-10,11
145 2015-11,9
146 2015-12,10
147 2016-01,9
148 2016-02,21
149 2016-03,100
150 2016-04,90
151 2016-05,55
152 2016-06,42
153 2016-07,40
154 2016-08,33
155 2016-09,34
156 2016-10,31
157 2016-11,33
158 2016-12,33
159 2017-01,42
160 2017-02,47
161 2017-03,39
162 2017-04,50
163 2017-05,78
164 2017-06,47
165 2017-07,41
166 2017-08,42
167 2017-09,41
168 2017-10,38
169 2017-11,39
170 2017-12,50
171 2018-01,45
172 2018-02,39
173 2018-03,38
174 2018-04,49
175 2018-05,42
176 2018-06,38
177 2018-07,36
178 2018-08,30
179 2018-09,28
180 2018-10,30
181 2018-11,31
182 2018-12,29
183 2019-01,35
184 2019-02,34
185 2019-03,51
186 2019-04,36
187 2019-05,34
188 2019-06,30
189 2019-07,28
190 2019-08,27
191 2019-09,26
192 2019-10,28
193 2019-11,28
194 2019-12,25
195 2020-01,30
196 2020-02,28
197 2020-03,35
198 2020-04,40
199 2020-05,30
200 2020-06,33
201 2020-07,27
202 2020-08,68
203 2020-09,56
204 2020-10,37
205 2020-11,29
206 2020-12,25
207 2021-01,30
208 2021-02,32
209 2021-03,27
210 2021-04,25
211 2021-05,23
212 2021-06,29
213 2021-07,25
214 2021-08,25
215 2021-09,29
216 2021-10,27
217 2021-11,24
218 2021-12,27
219 2022-01,47
220 2022-02,44
221 2022-03,37
222 2022-04,48
223 2022-05,46
224 2022-06,46
225 2022-07,51
226 2022-08,47
227 2022-09,49
228 2022-10,51
229 2022-11,54
230 2022-12,57
231 2023-01,59
232 2023-02,49
233 2023-03,46
234 2023-04,49
235 2023-05,39
236 2023-06,40

33
data/factorio/itad-price.js Normal file
View file

@ -0,0 +1,33 @@
Charts.Load().then(function() {
let tooltip = {"valueDecimals":2,"valuePrefix":"","valueSuffix":"\u20ac"};
let max = 35;
let chartOverview = (function() {
let setup = (new Charts.Gallery.History.Price())
.setTitle("Price (EUR)");
return (new Charts.Builder(setup, [{"zIndex":4,"name":"Best Price","data":[[1456427084000,18.1289],[1456427432000,18.1289],[1456621072000,18.1289],[1456622141000,19.99],[1457119152000,19.99],[1457739994000,20],[1457739995000,20],[1466127950000,20],[1523893638000,20],[1523897173000,20],[1523907171000,20],[1523907986000,20],[1523923954000,20],[1523924213000,25],[1535697978000,25],[1535698293000,25],[1535863935000,25],[1535948075000,25],[1536030470000,25],[1536031675000,25],[1568930407000,25],[1568932858000,25],[1584738289000,25],[1584744566000,25],[1598270976000,25],[1598274927000,25],[1619957233000,25],[1619985050000,25],[1638885876000,25],[1638888069000,24.99],[1657901478000,24.99],[1657902794000,24.99],[1658851632000,24.99],[1658854564000,24.99],[1660040458000,24.99],[1660041037000,30],[1664893579000,30],[1664894441000,30],[1674768529000,30],[1674770589000,30],[1674806631000,30],[1674807362000,30],[1674824524000,30],[1674825028000,31.99],[1680042302000,31.99],[1680045006000,31.99],[1680063207000,31.99],[1680066402000,31.99],[1686013828000,31.99],[1686014648000,31.99],[1686016864000,31.99]],"step":true,"color":"#90ee7e"},{"zIndex":2,"name":"Best Regular Price","data":[[1456427084000,18.1289],[1456427432000,18.1289],[1456621072000,18.1289],[1456622141000,19.99],[1457119152000,19.99],[1457739994000,20],[1457739995000,20],[1466127950000,20],[1523893638000,20],[1523897173000,20],[1523907171000,20],[1523907986000,20],[1523923954000,20],[1523924213000,25],[1535697978000,25],[1535698293000,25],[1535863935000,25],[1535948075000,25],[1536030470000,25],[1536031675000,25],[1568930407000,25],[1568932858000,25],[1584738289000,25],[1584744566000,25],[1598270976000,25],[1598274927000,25],[1619957233000,25],[1619985050000,25],[1638885876000,25],[1638888069000,24.99],[1657901478000,24.99],[1657902794000,24.99],[1658851632000,24.99],[1658854564000,24.99],[1660040458000,24.99],[1660041037000,30],[1664893579000,30],[1664894441000,30],[1674768529000,30],[1674770589000,30],[1674806631000,30],[1674807362000,30],[1674824524000,30],[1674825028000,31.99],[1680042302000,31.99],[1680045006000,31.99],[1680063207000,31.99],[1680066402000,31.99],[1686013828000,31.99],[1686014648000,31.99],[1686016864000,31.99]],"step":true,"color":"#2b908f"},{"zIndex":1,"name":"Worst Regular Price","data":[[1456427084000,18.1289],[1456427432000,20],[1456621072000,20],[1456622141000,20],[1457119152000,20],[1457739994000,20],[1457739995000,20],[1466127950000,20],[1523893638000,20],[1523897173000,25],[1523907171000,25],[1523907986000,25],[1523923954000,25],[1523924213000,25],[1535697978000,25],[1535698293000,25.89],[1535863935000,25.89],[1535948075000,30],[1536030470000,30],[1536031675000,25.89],[1568930407000,25.89],[1568932858000,26.99],[1584738289000,26.99],[1584744566000,26.49],[1598270976000,26.49],[1598274927000,25.09],[1619957233000,25.09],[1619985050000,26.59],[1638885876000,26.59],[1638888069000,25],[1657901478000,25],[1657902794000,30],[1658851632000,30],[1658854564000,30],[1660040458000,30],[1660041037000,30.09],[1664893579000,30.09],[1664894441000,30],[1674768529000,30],[1674770589000,32],[1674806631000,32],[1674807362000,32],[1674824524000,32],[1674825028000,32],[1680042302000,32],[1680045006000,35],[1680063207000,35],[1680066402000,32],[1686013828000,32],[1686014648000,32],[1686016864000,31.99]],"step":true,"color":"#f04848","visible":false},{"zIndex":3,"type":"area","name":"Historical Low","data":[[1456427084000,18.1289],[1686016981000,18.1289]],"step":true,"color":"#ffb726","lineWidth":1.5,"fillOpacity":0.1}]))
.setTooltip(tooltip)
.setDefaultValueRange(0, max)
.enableLegend()
.enableRangeSelector();
})();
let chartDetail = (function(){
let setup = (new Charts.Gallery.History.Price())
.useThinLine()
.setTooltipDealFormat()
.setTitle("Price (EUR)");
return (new Charts.Builder(setup, [{"name":"Humble Store","data":[[1456427084000,18.1289],[1456427432000,18.1289],[1456621072000,18.1289],[1456622141000,19.99],[1457119152000,19.99],[1457739994000,null],[1457739995000,20],[1466127950000,20],[1523893638000,20],[1523897173000,20],[1523907171000,20],[1523907986000,25],[1523923954000,25],[1523924213000,25],[1535697978000,25],[1535698293000,25],[1535863935000,25],[1535948075000,25],[1536030470000,25],[1536031675000,25],[1568930407000,25],[1568932858000,25],[1584738289000,25],[1584744566000,25],[1598270976000,25],[1598274927000,25],[1619957233000,25],[1619985050000,25],[1638885876000,25],[1638888069000,25],[1657901478000,25],[1657902794000,25],[1658851632000,25],[1658854564000,30],[1660040458000,30],[1660041037000,30],[1664893579000,30],[1664894441000,30],[1674768529000,30],[1674770589000,30],[1674806631000,30],[1674807362000,32],[1674824524000,32],[1674825028000,32],[1680042302000,32],[1680045006000,32],[1680063207000,32],[1680066402000,32],[1686013828000,32],[1686014648000,32],[1686016864000,null]],"step":true},{"name":"Steam","data":[[1456427432000,20],[1456621072000,20],[1456622141000,20],[1457119152000,20],[1457739994000,20],[1457739995000,20],[1466127950000,20],[1523893638000,20],[1523897173000,25],[1523907171000,25],[1523907986000,25],[1523923954000,25],[1523924213000,25],[1535697978000,25],[1535698293000,25],[1535863935000,25],[1535948075000,25],[1536030470000,25],[1536031675000,25],[1568930407000,25],[1568932858000,25],[1584738289000,25],[1584744566000,25],[1598270976000,25],[1598274927000,25],[1619957233000,25],[1619985050000,25],[1638885876000,25],[1638888069000,25],[1657901478000,25],[1657902794000,30],[1658851632000,30],[1658854564000,30],[1660040458000,30],[1660041037000,30],[1664893579000,30],[1664894441000,30],[1674768529000,30],[1674770589000,32],[1674806631000,32],[1674807362000,32],[1674824524000,32],[1674825028000,32],[1680042302000,32],[1680045006000,35],[1680063207000,35],[1680066402000,32],[1686013828000,32],[1686014648000,null],[1686016864000,null]],"step":true},{"name":"GOG","data":[[1466127950000,20],[1523893638000,20],[1523897173000,20],[1523907171000,20],[1523907986000,20],[1523923954000,20],[1523924213000,25],[1535697978000,25],[1535698293000,25.89],[1535863935000,25.89],[1535948075000,30],[1536030470000,30],[1536031675000,25.89],[1568930407000,25.89],[1568932858000,26.99],[1584738289000,26.99],[1584744566000,26.49],[1598270976000,26.49],[1598274927000,25.09],[1619957233000,25.09],[1619985050000,26.59],[1638885876000,26.59],[1638888069000,24.99],[1657901478000,24.99],[1657902794000,24.99],[1658851632000,24.99],[1658854564000,24.99],[1660040458000,24.99],[1660041037000,30.09],[1664893579000,30.09],[1664894441000,30],[1674768529000,30],[1674770589000,30],[1674806631000,30],[1674807362000,30],[1674824524000,30],[1674825028000,31.99],[1680042302000,31.99],[1680045006000,31.99],[1680063207000,31.99],[1680066402000,31.99],[1686013828000,31.99],[1686014648000,31.99],[1686016864000,31.99]],"step":true}]))
.setTooltip(tooltip)
.setDefaultValueRange(0, max)
.enableRangeSelector();
})();
(new Charts.Tabs("cp", "chart-price"))
.add("overview", chartOverview)
.add("detail", chartDetail)
.load();
});

1
data/factorio/steam_appid.txt Normal file
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427520

2684
data/factorio/steamdb-players.csv Normal file
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7
data/factorio/steamdb-price.csv Normal file
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"DateTime","Final price","Flags"
"2016-02-25 19:10:10",20,
"2018-04-16 16:30:16",25,
"2020-08-14 08:58:00",,
"2022-07-15 16:15:01",30,
"2023-01-26 22:05:04",32,
"2023-06-06 00:49:06",32,
1 DateTime Final price Flags
2 2016-02-25 19:10:10 20
3 2018-04-16 16:30:16 25
4 2020-08-14 08:58:00
5 2022-07-15 16:15:01 30
6 2023-01-26 22:05:04 32
7 2023-06-06 00:49:06 32

237
data/omori/gtrends-worldwide.csv Normal file
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@ -0,0 +1,237 @@
Categoria: Tutte le categorie
Mese,Omori: (Tutto il mondo)
2004-01,5
2004-02,8
2004-03,2
2004-04,0
2004-05,1
2004-06,0
2004-07,3
2004-08,5
2004-09,3
2004-10,2
2004-11,1
2004-12,2
2005-01,2
2005-02,4
2005-03,2
2005-04,3
2005-05,3
2005-06,3
2005-07,2
2005-08,3
2005-09,3
2005-10,2
2005-11,2
2005-12,1
2006-01,2
2006-02,3
2006-03,2
2006-04,2
2006-05,2
2006-06,2
2006-07,2
2006-08,2
2006-09,2
2006-10,1
2006-11,2
2006-12,1
2007-01,2
2007-02,2
2007-03,1
2007-04,2
2007-05,2
2007-06,1
2007-07,2
2007-08,2
2007-09,2
2007-10,1
2007-11,2
2007-12,1
2008-01,2
2008-02,1
2008-03,2
2008-04,2
2008-05,2
2008-06,1
2008-07,1
2008-08,2
2008-09,2
2008-10,1
2008-11,1
2008-12,1
2009-01,2
2009-02,1
2009-03,2
2009-04,2
2009-05,2
2009-06,1
2009-07,2
2009-08,2
2009-09,1
2009-10,1
2009-11,1
2009-12,1
2010-01,1
2010-02,2
2010-03,1
2010-04,2
2010-05,1
2010-06,2
2010-07,1
2010-08,2
2010-09,1
2010-10,1
2010-11,1
2010-12,1
2011-01,2
2011-02,1
2011-03,1
2011-04,1
2011-05,2
2011-06,2
2011-07,2
2011-08,2
2011-09,1
2011-10,1
2011-11,1
2011-12,1
2012-01,2
2012-02,2
2012-03,1
2012-04,1
2012-05,2
2012-06,2
2012-07,2
2012-08,2
2012-09,1
2012-10,1
2012-11,1
2012-12,2
2013-01,2
2013-02,1
2013-03,2
2013-04,1
2013-05,1
2013-06,1
2013-07,1
2013-08,1
2013-09,1
2013-10,1
2013-11,1
2013-12,1
2014-01,1
2014-02,2
2014-03,1
2014-04,3
2014-05,3
2014-06,3
2014-07,2
2014-08,2
2014-09,2
2014-10,2
2014-11,2
2014-12,2
2015-01,2
2015-02,2
2015-03,2
2015-04,2
2015-05,2
2015-06,2
2015-07,2
2015-08,2
2015-09,2
2015-10,2
2015-11,2
2015-12,2
2016-01,2
2016-02,3
2016-03,2
2016-04,2
2016-05,2
2016-06,2
2016-07,2
2016-08,2
2016-09,2
2016-10,2
2016-11,2
2016-12,3
2017-01,4
2017-02,3
2017-03,3
2017-04,2
2017-05,2
2017-06,2
2017-07,2
2017-08,2
2017-09,2
2017-10,2
2017-11,2
2017-12,2
2018-01,2
2018-02,2
2018-03,2
2018-04,2
2018-05,2
2018-06,2
2018-07,2
2018-08,2
2018-09,2
2018-10,2
2018-11,2
2018-12,1
2019-01,2
2019-02,2
2019-03,2
2019-04,2
2019-05,1
2019-06,1
2019-07,1
2019-08,2
2019-09,2
2019-10,2
2019-11,2
2019-12,2
2020-01,2
2020-02,1
2020-03,2
2020-04,1
2020-05,2
2020-06,2
2020-07,1
2020-08,1
2020-09,2
2020-10,1
2020-11,2
2020-12,11
2021-01,40
2021-02,47
2021-03,39
2021-04,41
2021-05,46
2021-06,46
2021-07,51
2021-08,45
2021-09,33
2021-10,25
2021-11,28
2021-12,43
2022-01,62
2022-02,51
2022-03,56
2022-04,57
2022-05,49
2022-06,80
2022-07,100
2022-08,80
2022-09,65
2022-10,60
2022-11,60
2022-12,69
2023-01,78
2023-02,75
2023-03,67
2023-04,62
2023-05,53
2023-06,57
1 Categoria: Tutte le categorie
2 Mese,Omori: (Tutto il mondo)
3 2004-01,5
4 2004-02,8
5 2004-03,2
6 2004-04,0
7 2004-05,1
8 2004-06,0
9 2004-07,3
10 2004-08,5
11 2004-09,3
12 2004-10,2
13 2004-11,1
14 2004-12,2
15 2005-01,2
16 2005-02,4
17 2005-03,2
18 2005-04,3
19 2005-05,3
20 2005-06,3
21 2005-07,2
22 2005-08,3
23 2005-09,3
24 2005-10,2
25 2005-11,2
26 2005-12,1
27 2006-01,2
28 2006-02,3
29 2006-03,2
30 2006-04,2
31 2006-05,2
32 2006-06,2
33 2006-07,2
34 2006-08,2
35 2006-09,2
36 2006-10,1
37 2006-11,2
38 2006-12,1
39 2007-01,2
40 2007-02,2
41 2007-03,1
42 2007-04,2
43 2007-05,2
44 2007-06,1
45 2007-07,2
46 2007-08,2
47 2007-09,2
48 2007-10,1
49 2007-11,2
50 2007-12,1
51 2008-01,2
52 2008-02,1
53 2008-03,2
54 2008-04,2
55 2008-05,2
56 2008-06,1
57 2008-07,1
58 2008-08,2
59 2008-09,2
60 2008-10,1
61 2008-11,1
62 2008-12,1
63 2009-01,2
64 2009-02,1
65 2009-03,2
66 2009-04,2
67 2009-05,2
68 2009-06,1
69 2009-07,2
70 2009-08,2
71 2009-09,1
72 2009-10,1
73 2009-11,1
74 2009-12,1
75 2010-01,1
76 2010-02,2
77 2010-03,1
78 2010-04,2
79 2010-05,1
80 2010-06,2
81 2010-07,1
82 2010-08,2
83 2010-09,1
84 2010-10,1
85 2010-11,1
86 2010-12,1
87 2011-01,2
88 2011-02,1
89 2011-03,1
90 2011-04,1
91 2011-05,2
92 2011-06,2
93 2011-07,2
94 2011-08,2
95 2011-09,1
96 2011-10,1
97 2011-11,1
98 2011-12,1
99 2012-01,2
100 2012-02,2
101 2012-03,1
102 2012-04,1
103 2012-05,2
104 2012-06,2
105 2012-07,2
106 2012-08,2
107 2012-09,1
108 2012-10,1
109 2012-11,1
110 2012-12,2
111 2013-01,2
112 2013-02,1
113 2013-03,2
114 2013-04,1
115 2013-05,1
116 2013-06,1
117 2013-07,1
118 2013-08,1
119 2013-09,1
120 2013-10,1
121 2013-11,1
122 2013-12,1
123 2014-01,1
124 2014-02,2
125 2014-03,1
126 2014-04,3
127 2014-05,3
128 2014-06,3
129 2014-07,2
130 2014-08,2
131 2014-09,2
132 2014-10,2
133 2014-11,2
134 2014-12,2
135 2015-01,2
136 2015-02,2
137 2015-03,2
138 2015-04,2
139 2015-05,2
140 2015-06,2
141 2015-07,2
142 2015-08,2
143 2015-09,2
144 2015-10,2
145 2015-11,2
146 2015-12,2
147 2016-01,2
148 2016-02,3
149 2016-03,2
150 2016-04,2
151 2016-05,2
152 2016-06,2
153 2016-07,2
154 2016-08,2
155 2016-09,2
156 2016-10,2
157 2016-11,2
158 2016-12,3
159 2017-01,4
160 2017-02,3
161 2017-03,3
162 2017-04,2
163 2017-05,2
164 2017-06,2
165 2017-07,2
166 2017-08,2
167 2017-09,2
168 2017-10,2
169 2017-11,2
170 2017-12,2
171 2018-01,2
172 2018-02,2
173 2018-03,2
174 2018-04,2
175 2018-05,2
176 2018-06,2
177 2018-07,2
178 2018-08,2
179 2018-09,2
180 2018-10,2
181 2018-11,2
182 2018-12,1
183 2019-01,2
184 2019-02,2
185 2019-03,2
186 2019-04,2
187 2019-05,1
188 2019-06,1
189 2019-07,1
190 2019-08,2
191 2019-09,2
192 2019-10,2
193 2019-11,2
194 2019-12,2
195 2020-01,2
196 2020-02,1
197 2020-03,2
198 2020-04,1
199 2020-05,2
200 2020-06,2
201 2020-07,1
202 2020-08,1
203 2020-09,2
204 2020-10,1
205 2020-11,2
206 2020-12,11
207 2021-01,40
208 2021-02,47
209 2021-03,39
210 2021-04,41
211 2021-05,46
212 2021-06,46
213 2021-07,51
214 2021-08,45
215 2021-09,33
216 2021-10,25
217 2021-11,28
218 2021-12,43
219 2022-01,62
220 2022-02,51
221 2022-03,56
222 2022-04,57
223 2022-05,49
224 2022-06,80
225 2022-07,100
226 2022-08,80
227 2022-09,65
228 2022-10,60
229 2022-11,60
230 2022-12,69
231 2023-01,78
232 2023-02,75
233 2023-03,67
234 2023-04,62
235 2023-05,53
236 2023-06,57

33
data/omori/itad-price.js Normal file
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@ -0,0 +1,33 @@
Charts.Load().then(function() {
let tooltip = {"valueDecimals":2,"valuePrefix":"","valueSuffix":"\u20ac"};
let max = 29.99;
let chartOverview = (function() {
let setup = (new Charts.Gallery.History.Price())
.setTitle("Price (EUR)");
return (new Charts.Builder(setup, [{"zIndex":4,"name":"Best Price","data":[[1608884472000,16.79],[1613066666000,16.79],[1613069933000,13.43],[1613239833000,13.43],[1613240474000,16.79],[1624899924000,16.79],[1624901288000,13.43],[1625771329000,13.43],[1625773191000,16.79],[1640193725000,16.79],[1640204687000,13.43],[1641413536000,13.43],[1641415776000,16.79],[1643311393000,16.79],[1643313907000,13.43],[1643918831000,13.43],[1643919056000,16.79],[1647090960000,12.59],[1647277491000,12.59],[1647883146000,null],[1647883919000,16.79],[1655690677000,16.79],[1656019339000,16.79],[1656021998000,10.07],[1657221607000,10.07],[1657222825000,16.79],[1666718801000,16.79],[1666719344000,12.59],[1667323234000,12.59],[1667323472000,16.79],[1669136966000,16.79],[1669146862000,12.59],[1669753174000,12.59],[1669753347000,16.79],[1671747365000,16.79],[1671748197000,11.75],[1672953591000,11.75],[1672956954000,16.79],[1678987377000,16.79],[1678989333000,12.59],[1679599168000,12.59],[1679601207000,16.79],[1688044215000,16.79],[1688044823000,29.99]],"step":true,"color":"#90ee7e"},{"zIndex":2,"name":"Best Regular Price","data":[[1608884472000,16.79],[1613066666000,16.79],[1613069933000,16.79],[1613239833000,16.79],[1613240474000,16.79],[1624899924000,16.79],[1624901288000,16.79],[1625771329000,16.79],[1625773191000,16.79],[1640193725000,16.79],[1640204687000,16.79],[1641413536000,16.79],[1641415776000,16.79],[1643311393000,16.79],[1643313907000,16.79],[1643918831000,16.79],[1643919056000,16.79],[1647090960000,16.79],[1647277491000,16.79],[1647883146000,null],[1647883919000,16.79],[1655690677000,16.79],[1656019339000,16.79],[1656021998000,16.79],[1657221607000,16.79],[1657222825000,16.79],[1666718801000,16.79],[1666719344000,16.79],[1667323234000,16.79],[1667323472000,16.79],[1669136966000,16.79],[1669146862000,16.79],[1669753174000,16.79],[1669753347000,16.79],[1671747365000,16.79],[1671748197000,16.79],[1672953591000,16.79],[1672956954000,16.79],[1678987377000,16.79],[1678989333000,16.79],[1679599168000,16.79],[1679601207000,16.79],[1688044215000,16.79],[1688044823000,29.99]],"step":true,"color":"#2b908f"},{"zIndex":1,"name":"Worst Regular Price","data":[[1608884472000,16.79],[1613066666000,16.79],[1613069933000,16.79],[1613239833000,16.79],[1613240474000,16.79],[1624899924000,16.79],[1624901288000,16.79],[1625771329000,16.79],[1625773191000,16.79],[1640193725000,16.79],[1640204687000,16.79],[1641413536000,16.79],[1641415776000,16.79],[1643311393000,16.79],[1643313907000,16.79],[1643918831000,16.79],[1643919056000,16.79],[1647090960000,16.79],[1647277491000,16.79],[1647883146000,null],[1647883919000,16.79],[1655690677000,29.99],[1656019339000,29.99],[1656021998000,29.99],[1657221607000,29.99],[1657222825000,29.99],[1666718801000,29.99],[1666719344000,29.99],[1667323234000,29.99],[1667323472000,29.99],[1669136966000,29.99],[1669146862000,29.99],[1669753174000,29.99],[1669753347000,29.99],[1671747365000,29.99],[1671748197000,29.99],[1672953591000,29.99],[1672956954000,29.99],[1678987377000,29.99],[1678989333000,29.99],[1679599168000,29.99],[1679601207000,29.99],[1688044215000,29.99],[1688044823000,29.99]],"step":true,"color":"#f04848","visible":false},{"zIndex":3,"type":"area","name":"Historical Low","data":[[1608884472000,16.79],[1613069933000,13.43],[1647090960000,12.59],[1656021998000,10.07],[1688044843000,10.07]],"step":true,"color":"#ffb726","lineWidth":1.5,"fillOpacity":0.1}]))
.setTooltip(tooltip)
.setDefaultValueRange(0, max)
.enableLegend()
.enableRangeSelector();
})();
let chartDetail = (function(){
let setup = (new Charts.Gallery.History.Price())
.useThinLine()
.setTooltipDealFormat()
.setTitle("Price (EUR)");
return (new Charts.Builder(setup, [{"name":"Steam","data":[[1608884472000,16.79],[1613066666000,16.79],[1613069933000,13.43],[1613239833000,13.43],[1613240474000,16.79],[1624899924000,16.79],[1624901288000,13.43],[1625771329000,13.43],[1625773191000,16.79],[1640193725000,16.79],[1640204687000,13.43],[1641413536000,13.43],[1641415776000,16.79],[1643311393000,16.79],[1643313907000,13.43],[1643918831000,13.43],[1643919056000,16.79],[1647090960000,12.59],[1647277491000,12.59],[1647883146000,null],[1647883919000,16.79],[1655690677000,16.79],[1656019339000,16.79],[1656021998000,10.07],[1657221607000,10.07],[1657222825000,16.79],[1666718801000,16.79],[1666719344000,12.59],[1667323234000,12.59],[1667323472000,16.79],[1669136966000,16.79],[1669146862000,12.59],[1669753174000,12.59],[1669753347000,16.79],[1671747365000,16.79],[1671748197000,11.75],[1672953591000,11.75],[1672956954000,16.79],[1678987377000,16.79],[1678989333000,12.59],[1679599168000,12.59],[1679601207000,16.79],[1688044215000,16.79],[1688044823000,null]],"step":true},{"name":"Microsoft Store","data":[[1655690677000,29.99],[1656019339000,29.99],[1656021998000,29.99],[1657221607000,29.99],[1657222825000,29.99],[1666718801000,29.99],[1666719344000,29.99],[1667323234000,29.99],[1667323472000,29.99],[1669136966000,29.99],[1669146862000,29.99],[1669753174000,29.99],[1669753347000,29.99],[1671747365000,29.99],[1671748197000,29.99],[1672953591000,29.99],[1672956954000,29.99],[1678987377000,29.99],[1678989333000,29.99],[1679599168000,29.99],[1679601207000,29.99],[1688044215000,29.99],[1688044823000,29.99]],"step":true}]))
.setTooltip(tooltip)
.setDefaultValueRange(0, max)
.enableRangeSelector();
})();
(new Charts.Tabs("cp", "chart-price"))
.add("overview", chartOverview)
.add("detail", chartDetail)
.load();
});

1
data/omori/steam_appid.txt Normal file
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@ -0,0 +1 @@
1150690

918
data/omori/steamdb-players.csv Normal file
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@ -0,0 +1,918 @@
"DateTime","Players","Average Players","Flags"
"2020-12-25 00:00:00",2354,,
"2020-12-26 00:00:00",2867,,
"2020-12-27 00:00:00",2931,,
"2020-12-28 00:00:00",2921,,
"2020-12-29 00:00:00",2757,,
"2020-12-30 00:00:00",2742,,
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"2023-06-11 00:00:00",746,604,
"2023-06-12 00:00:00",718,531,
"2023-06-13 00:00:00",660,518,
"2023-06-14 00:00:00",651,498,
"2023-06-15 00:00:00",646,500,
"2023-06-16 00:00:00",656,495,
"2023-06-17 00:00:00",731,576,
"2023-06-18 00:00:00",762,599,
"2023-06-19 00:00:00",744,555,
"2023-06-20 00:00:00",749,551,
"2023-06-21 00:00:00",680,536,
"2023-06-22 00:00:00",692,550,
"2023-06-23 00:00:00",744,573,
"2023-06-24 00:00:00",767,616,
"2023-06-25 00:00:00",786,613,
"2023-06-26 00:00:00",780,584,
"2023-06-27 00:00:00",718,580,
"2023-06-28 00:00:00",696,566,
"2023-06-29 00:00:00",651,566,
1 DateTime Players Average Players Flags
2 2020-12-25 00:00:00 2354
3 2020-12-26 00:00:00 2867
4 2020-12-27 00:00:00 2931
5 2020-12-28 00:00:00 2921
6 2020-12-29 00:00:00 2757
7 2020-12-30 00:00:00 2742
8 2020-12-31 00:00:00 2656
9 2021-01-01 00:00:00 2508
10 2021-01-02 00:00:00 2633
11 2021-01-03 00:00:00 2507
12 2021-01-04 00:00:00 2442
13 2021-01-05 00:00:00 2358
14 2021-01-06 00:00:00 2319
15 2021-01-07 00:00:00 2203
16 2021-01-08 00:00:00 2299
17 2021-01-09 00:00:00 2352
18 2021-01-10 00:00:00 2373
19 2021-01-11 00:00:00 2350
20 2021-01-12 00:00:00 2170
21 2021-01-13 00:00:00 2102
22 2021-01-14 00:00:00 2025
23 2021-01-15 00:00:00 1966
24 2021-01-16 00:00:00 2100
25 2021-01-17 00:00:00 2179
26 2021-01-18 00:00:00 2150
27 2021-01-19 00:00:00 2033
28 2021-01-20 00:00:00 1910
29 2021-01-21 00:00:00 1786
30 2021-01-22 00:00:00 1723
31 2021-01-23 00:00:00 2016
32 2021-01-24 00:00:00 1983
33 2021-01-25 00:00:00 1980
34 2021-01-26 00:00:00 1901
35 2021-01-27 00:00:00 1804
36 2021-01-28 00:00:00 1766
37 2021-01-29 00:00:00 1755
38 2021-01-30 00:00:00 2239
39 2021-01-31 00:00:00 2287
40 2021-02-01 00:00:00 2246
41 2021-02-02 00:00:00 2113
42 2021-02-03 00:00:00 2014
43 2021-02-04 00:00:00 1919
44 2021-02-05 00:00:00 1887
45 2021-02-06 00:00:00 2213
46 2021-02-07 00:00:00 2205
47 2021-02-08 00:00:00 2075
48 2021-02-09 00:00:00 1855
49 2021-02-10 00:00:00 1921
50 2021-02-11 00:00:00 2017
51 2021-02-12 00:00:00 2688
52 2021-02-13 00:00:00 3166
53 2021-02-14 00:00:00 3019
54 2021-02-15 00:00:00 2819
55 2021-02-16 00:00:00 2729
56 2021-02-17 00:00:00 2560
57 2021-02-18 00:00:00 2360
58 2021-02-19 00:00:00 2375
59 2021-02-20 00:00:00 2424
60 2021-02-21 00:00:00 2434
61 2021-02-22 00:00:00 2275
62 2021-02-23 00:00:00 1973
63 2021-02-24 00:00:00 1904
64 2021-02-25 00:00:00 1766
65 2021-02-26 00:00:00 1679
66 2021-02-27 00:00:00 2001
67 2021-02-28 00:00:00 1966
68 2021-03-01 00:00:00 1886
69 2021-03-02 00:00:00 1779
70 2021-03-03 00:00:00 1557
71 2021-03-04 00:00:00 1566
72 2021-03-05 00:00:00 1514
73 2021-03-06 00:00:00 1713
74 2021-03-07 00:00:00 1824
75 2021-03-08 00:00:00 1675
76 2021-03-09 00:00:00 1514
77 2021-03-10 00:00:00 1517
78 2021-03-11 00:00:00 1436
79 2021-03-12 00:00:00 1441
80 2021-03-13 00:00:00 1666
81 2021-03-14 00:00:00 1665
82 2021-03-15 00:00:00 1604
83 2021-03-16 00:00:00 1567
84 2021-03-17 00:00:00 1502
85 2021-03-18 00:00:00 1447
86 2021-03-19 00:00:00 1405
87 2021-03-20 00:00:00 1603
88 2021-03-21 00:00:00 1601
89 2021-03-22 00:00:00 1562
90 2021-03-23 00:00:00 1466
91 2021-03-24 00:00:00 1451
92 2021-03-25 00:00:00 1487
93 2021-03-26 00:00:00 1433
94 2021-03-27 00:00:00 1637
95 2021-03-28 00:00:00 1610
96 2021-03-29 00:00:00 1598
97 2021-03-30 00:00:00 1491
98 2021-03-31 00:00:00 1489
99 2021-04-01 00:00:00 1413
100 2021-04-02 00:00:00 1474
101 2021-04-03 00:00:00 1594
102 2021-04-04 00:00:00 1566
103 2021-04-05 00:00:00 1602
104 2021-04-06 00:00:00 1537
105 2021-04-07 00:00:00 1434
106 2021-04-08 00:00:00 1472
107 2021-04-09 00:00:00 1485
108 2021-04-10 00:00:00 1595
109 2021-04-11 00:00:00 1605
110 2021-04-12 00:00:00 1582
111 2021-04-13 00:00:00 1474
112 2021-04-14 00:00:00 1349
113 2021-04-15 00:00:00 1317
114 2021-04-16 00:00:00 1273
115 2021-04-17 00:00:00 1426
116 2021-04-18 00:00:00 1474
117 2021-04-19 00:00:00 1387
118 2021-04-20 00:00:00 1252
119 2021-04-21 00:00:00 1214
120 2021-04-22 00:00:00 1277
121 2021-04-23 00:00:00 1184
122 2021-04-24 00:00:00 1351
123 2021-04-25 00:00:00 1437
124 2021-04-26 00:00:00 1323
125 2021-04-27 00:00:00 1213
126 2021-04-28 00:00:00 1245
127 2021-04-29 00:00:00 1165
128 2021-04-30 00:00:00 1203
129 2021-05-01 00:00:00 1430
130 2021-05-02 00:00:00 1442
131 2021-05-03 00:00:00 1363
132 2021-05-04 00:00:00 1259
133 2021-05-05 00:00:00 1359
134 2021-05-06 00:00:00 1306
135 2021-05-07 00:00:00 1325
136 2021-05-08 00:00:00 1539
137 2021-05-09 00:00:00 1486
138 2021-05-10 00:00:00 1361
139 2021-05-11 00:00:00 1302
140 2021-05-12 00:00:00 1273
141 2021-05-13 00:00:00 1294
142 2021-05-14 00:00:00 1217
143 2021-05-15 00:00:00 1369
144 2021-05-16 00:00:00 1426
145 2021-05-17 00:00:00 1293
146 2021-05-18 00:00:00 1208
147 2021-05-19 00:00:00 1096
148 2021-05-20 00:00:00 1152
149 2021-05-21 00:00:00 1109
150 2021-05-22 00:00:00 1250
151 2021-05-23 00:00:00 1268
152 2021-05-24 00:00:00 1223
153 2021-05-25 00:00:00 1214
154 2021-05-26 00:00:00 1172
155 2021-05-27 00:00:00 1101
156 2021-05-28 00:00:00 1117
157 2021-05-29 00:00:00 1220
158 2021-05-30 00:00:00 1309
159 2021-05-31 00:00:00 1244
160 2021-06-01 00:00:00 1200
161 2021-06-02 00:00:00 1223
162 2021-06-03 00:00:00 1224
163 2021-06-04 00:00:00 1256
164 2021-06-05 00:00:00 1373
165 2021-06-06 00:00:00 1368
166 2021-06-07 00:00:00 1332
167 2021-06-08 00:00:00 1261
168 2021-06-09 00:00:00 1238
169 2021-06-10 00:00:00 1198
170 2021-06-11 00:00:00 1183
171 2021-06-12 00:00:00 1175
172 2021-06-13 00:00:00 1304
173 2021-06-14 00:00:00 1185
174 2021-06-15 00:00:00 1189
175 2021-06-16 00:00:00 1204
176 2021-06-17 00:00:00 1172
177 2021-06-18 00:00:00 1202
178 2021-06-19 00:00:00 1212
179 2021-06-20 00:00:00 1203
180 2021-06-21 00:00:00 1243
181 2021-06-22 00:00:00 1203
182 2021-06-23 00:00:00 1175
183 2021-06-24 00:00:00 1336
184 2021-06-25 00:00:00 1540
185 2021-06-26 00:00:00 1830
186 2021-06-27 00:00:00 1981
187 2021-06-28 00:00:00 1941
188 2021-06-29 00:00:00 1953
189 2021-06-30 00:00:00 1896
190 2021-07-01 00:00:00 1821
191 2021-07-02 00:00:00 1822
192 2021-07-03 00:00:00 1823
193 2021-07-04 00:00:00 1917
194 2021-07-05 00:00:00 1921
195 2021-07-06 00:00:00 1962
196 2021-07-07 00:00:00 1898
197 2021-07-08 00:00:00 1878
198 2021-07-09 00:00:00 1856
199 2021-07-10 00:00:00 1679
200 2021-07-11 00:00:00 1730
201 2021-07-12 00:00:00 1711
202 2021-07-13 00:00:00 1664
203 2021-07-14 00:00:00 1625
204 2021-07-15 00:00:00 1551
205 2021-07-16 00:00:00 1471
206 2021-07-17 00:00:00 1468
207 2021-07-18 00:00:00 1520
208 2021-07-19 00:00:00 1478
209 2021-07-20 00:00:00 1520
210 2021-07-21 00:00:00 1515
211 2021-07-22 00:00:00 1347
212 2021-07-23 00:00:00 1262
213 2021-07-24 00:00:00 1220
214 2021-07-25 00:00:00 1275
215 2021-07-26 00:00:00 1347
216 2021-07-27 00:00:00 1280
217 2021-07-28 00:00:00 1257
218 2021-07-29 00:00:00 1290
219 2021-07-30 00:00:00 1282
220 2021-07-31 00:00:00 1212
221 2021-08-01 00:00:00 1231
222 2021-08-02 00:00:00 1266
223 2021-08-03 00:00:00 1337
224 2021-08-04 00:00:00 1262
225 2021-08-05 00:00:00 1288
226 2021-08-06 00:00:00 1201
227 2021-08-07 00:00:00 1293
228 2021-08-08 00:00:00 1356
229 2021-08-09 00:00:00 1324
230 2021-08-10 00:00:00 1248
231 2021-08-11 00:00:00 1153
232 2021-08-12 00:00:00 1179
233 2021-08-13 00:00:00 1147
234 2021-08-14 00:00:00 1156
235 2021-08-15 00:00:00 1279
236 2021-08-16 00:00:00 1187
237 2021-08-17 00:00:00 1154
238 2021-08-18 00:00:00 1156
239 2021-08-19 00:00:00 1164
240 2021-08-20 00:00:00 1160
241 2021-08-21 00:00:00 1163
242 2021-08-22 00:00:00 1299
243 2021-08-23 00:00:00 1226
244 2021-08-24 00:00:00 1091
245 2021-08-25 00:00:00 1052
246 2021-08-26 00:00:00 1032
247 2021-08-27 00:00:00 1037
248 2021-08-28 00:00:00 1148
249 2021-08-29 00:00:00 1272
250 2021-08-30 00:00:00 1167
251 2021-08-31 00:00:00 1024
252 2021-09-01 00:00:00 1044
253 2021-09-02 00:00:00 913
254 2021-09-03 00:00:00 886
255 2021-09-04 00:00:00 1098
256 2021-09-05 00:00:00 1082
257 2021-09-06 00:00:00 1100
258 2021-09-07 00:00:00 1122
259 2021-09-08 00:00:00 903
260 2021-09-09 00:00:00 943
261 2021-09-10 00:00:00 834
262 2021-09-11 00:00:00 1086
263 2021-09-12 00:00:00 1122
264 2021-09-13 00:00:00 1030
265 2021-09-14 00:00:00 922
266 2021-09-15 00:00:00 850
267 2021-09-16 00:00:00 869
268 2021-09-17 00:00:00 849
269 2021-09-18 00:00:00 948
270 2021-09-19 00:00:00 1036
271 2021-09-20 00:00:00 912
272 2021-09-21 00:00:00 793
273 2021-09-22 00:00:00 717
274 2021-09-23 00:00:00 755
275 2021-09-24 00:00:00 741
276 2021-09-25 00:00:00 928
277 2021-09-26 00:00:00 941
278 2021-09-27 00:00:00 867
279 2021-09-28 00:00:00 729
280 2021-09-29 00:00:00 744
281 2021-09-30 00:00:00 713
282 2021-10-01 00:00:00 702
283 2021-10-02 00:00:00 880
284 2021-10-03 00:00:00 845
285 2021-10-04 00:00:00 780
286 2021-10-05 00:00:00 704
287 2021-10-06 00:00:00 646
288 2021-10-07 00:00:00 630
289 2021-10-08 00:00:00 710
290 2021-10-09 00:00:00 796
291 2021-10-10 00:00:00 875
292 2021-10-11 00:00:00 816
293 2021-10-12 00:00:00 741
294 2021-10-13 00:00:00 663
295 2021-10-14 00:00:00 644
296 2021-10-15 00:00:00 653
297 2021-10-16 00:00:00 818
298 2021-10-17 00:00:00 848
299 2021-10-18 00:00:00 743
300 2021-10-19 00:00:00 714
301 2021-10-20 00:00:00 674
302 2021-10-21 00:00:00 649
303 2021-10-22 00:00:00 701
304 2021-10-23 00:00:00 908
305 2021-10-24 00:00:00 876
306 2021-10-25 00:00:00 774
307 2021-10-26 00:00:00 687
308 2021-10-27 00:00:00 703
309 2021-10-28 00:00:00 691
310 2021-10-29 00:00:00 645
311 2021-10-30 00:00:00 838
312 2021-10-31 00:00:00 830
313 2021-11-01 00:00:00 685
314 2021-11-02 00:00:00 727
315 2021-11-03 00:00:00 690
316 2021-11-04 00:00:00 678
317 2021-11-05 00:00:00 683
318 2021-11-06 00:00:00 851
319 2021-11-07 00:00:00 857
320 2021-11-08 00:00:00 801
321 2021-11-09 00:00:00 645
322 2021-11-10 00:00:00 632
323 2021-11-11 00:00:00 676
324 2021-11-12 00:00:00 671
325 2021-11-13 00:00:00 848
326 2021-11-14 00:00:00 893
327 2021-11-15 00:00:00 823
328 2021-11-16 00:00:00 686
329 2021-11-17 00:00:00 641
330 2021-11-18 00:00:00 603
331 2021-11-19 00:00:00 626
332 2021-11-20 00:00:00 866
333 2021-11-21 00:00:00 811
334 2021-11-22 00:00:00 782
335 2021-11-23 00:00:00 732
336 2021-11-24 00:00:00 733
337 2021-11-25 00:00:00 730
338 2021-11-26 00:00:00 810
339 2021-11-27 00:00:00 931
340 2021-11-28 00:00:00 864
341 2021-11-29 00:00:00 824
342 2021-11-30 00:00:00 720
343 2021-12-01 00:00:00 693
344 2021-12-02 00:00:00 646
345 2021-12-03 00:00:00 641
346 2021-12-04 00:00:00 816
347 2021-12-05 00:00:00 851
348 2021-12-06 00:00:00 762
349 2021-12-07 00:00:00 703
350 2021-12-08 00:00:00 666
351 2021-12-09 00:00:00 656
352 2021-12-10 00:00:00 632
353 2021-12-11 00:00:00 853
354 2021-12-12 00:00:00 844
355 2021-12-13 00:00:00 766
356 2021-12-14 00:00:00 746
357 2021-12-15 00:00:00 697
358 2021-12-16 00:00:00 830
359 2021-12-17 00:00:00 965
360 2021-12-18 00:00:00 1244
361 2021-12-19 00:00:00 1316
362 2021-12-20 00:00:00 1125
363 2021-12-21 00:00:00 1128
364 2021-12-22 00:00:00 1209
365 2021-12-23 00:00:00 1367
366 2021-12-24 00:00:00 1427
367 2021-12-25 00:00:00 1943
368 2021-12-26 00:00:00 2205
369 2021-12-27 00:00:00 2204
370 2021-12-28 00:00:00 2242
371 2021-12-29 00:00:00 2321
372 2021-12-30 00:00:00 2258
373 2021-12-31 00:00:00 2312
374 2022-01-01 00:00:00 2248
375 2022-01-02 00:00:00 2379
376 2022-01-03 00:00:00 2338
377 2022-01-04 00:00:00 2111
378 2022-01-05 00:00:00 2059
379 2022-01-06 00:00:00 1836
380 2022-01-07 00:00:00 1814
381 2022-01-08 00:00:00 1898
382 2022-01-09 00:00:00 2048
383 2022-01-10 00:00:00 1834
384 2022-01-11 00:00:00 1548
385 2022-01-12 00:00:00 1504
386 2022-01-13 00:00:00 1415
387 2022-01-14 00:00:00 1426
388 2022-01-15 00:00:00 1800
389 2022-01-16 00:00:00 2003
390 2022-01-17 00:00:00 1696
391 2022-01-18 00:00:00 1559
392 2022-01-19 00:00:00 1372
393 2022-01-20 00:00:00 1396
394 2022-01-21 00:00:00 1353
395 2022-01-22 00:00:00 1599
396 2022-01-23 00:00:00 1731
397 2022-01-24 00:00:00 1458
398 2022-01-25 00:00:00 1337
399 2022-01-26 00:00:00 1228
400 2022-01-27 00:00:00 1168
401 2022-01-28 00:00:00 1162
402 2022-01-29 00:00:00 1555
403 2022-01-30 00:00:00 1566
404 2022-01-31 00:00:00 1352
405 2022-02-01 00:00:00 1221
406 2022-02-02 00:00:00 1193
407 2022-02-03 00:00:00 1199
408 2022-02-04 00:00:00 1281
409 2022-02-05 00:00:00 1449
410 2022-02-06 00:00:00 1445
411 2022-02-07 00:00:00 1234
412 2022-02-08 00:00:00 1043
413 2022-02-09 00:00:00 1008
414 2022-02-10 00:00:00 916
415 2022-02-11 00:00:00 1011
416 2022-02-12 00:00:00 1235
417 2022-02-13 00:00:00 1298
418 2022-02-14 00:00:00 1067
419 2022-02-15 00:00:00 927
420 2022-02-16 00:00:00 997
421 2022-02-17 00:00:00 922
422 2022-02-18 00:00:00 1085
423 2022-02-19 00:00:00 1315
424 2022-02-20 00:00:00 1270
425 2022-02-21 00:00:00 1175
426 2022-02-22 00:00:00 1112
427 2022-02-23 00:00:00 1096
428 2022-02-24 00:00:00 1018
429 2022-02-25 00:00:00 945
430 2022-02-26 00:00:00 1212
431 2022-02-27 00:00:00 1171
432 2022-02-28 00:00:00 1072
433 2022-03-01 00:00:00 942
434 2022-03-02 00:00:00 886
435 2022-03-03 00:00:00 923
436 2022-03-04 00:00:00 904
437 2022-03-05 00:00:00 1235
438 2022-03-06 00:00:00 1195
439 2022-03-07 00:00:00 1062
440 2022-03-08 00:00:00 960
441 2022-03-09 00:00:00 900
442 2022-03-10 00:00:00 895
443 2022-03-11 00:00:00 882
444 2022-03-12 00:00:00 1231
445 2022-03-13 00:00:00 1195
446 2022-03-14 00:00:00 1065
447 2022-03-15 00:00:00 1012
448 2022-03-16 00:00:00 1113
449 2022-03-17 00:00:00 1173
450 2022-03-18 00:00:00 1388
451 2022-03-19 00:00:00 1751
452 2022-03-20 00:00:00 1908
453 2022-03-21 00:00:00 1769
454 2022-03-22 00:00:00 1545
455 2022-03-23 00:00:00 1368
456 2022-03-24 00:00:00 1297
457 2022-03-25 00:00:00 1260
458 2022-03-26 00:00:00 1499
459 2022-03-27 00:00:00 1472
460 2022-03-28 00:00:00 1234
461 2022-03-29 00:00:00 1173
462 2022-03-30 00:00:00 1151
463 2022-03-31 00:00:00 1005
464 2022-04-01 00:00:00 955
465 2022-04-02 00:00:00 1234
466 2022-04-03 00:00:00 1302
467 2022-04-04 00:00:00 1115
468 2022-04-05 00:00:00 1064
469 2022-04-06 00:00:00 1019
470 2022-04-07 00:00:00 1058
471 2022-04-08 00:00:00 1012
472 2022-04-09 00:00:00 1341
473 2022-04-10 00:00:00 1390
474 2022-04-11 00:00:00 1206
475 2022-04-12 00:00:00 1110
476 2022-04-13 00:00:00 1002
477 2022-04-14 00:00:00 1040
478 2022-04-15 00:00:00 1171
479 2022-04-16 00:00:00 1274
480 2022-04-17 00:00:00 1244
481 2022-04-18 00:00:00 1180
482 2022-04-19 00:00:00 1056
483 2022-04-20 00:00:00 1002
484 2022-04-21 00:00:00 971
485 2022-04-22 00:00:00 1006
486 2022-04-23 00:00:00 1144
487 2022-04-24 00:00:00 1166
488 2022-04-25 00:00:00 1022
489 2022-04-26 00:00:00 919
490 2022-04-27 00:00:00 862
491 2022-04-28 00:00:00 851
492 2022-04-29 00:00:00 862
493 2022-04-30 00:00:00 1085
494 2022-05-01 00:00:00 1181
495 2022-05-02 00:00:00 1038
496 2022-05-03 00:00:00 896
497 2022-05-04 00:00:00 881
498 2022-05-05 00:00:00 871
499 2022-05-06 00:00:00 862
500 2022-05-07 00:00:00 1077
501 2022-05-08 00:00:00 1054
502 2022-05-09 00:00:00 914
503 2022-05-10 00:00:00 827
504 2022-05-11 00:00:00 832
505 2022-05-12 00:00:00 827
506 2022-05-13 00:00:00 852
507 2022-05-14 00:00:00 1066
508 2022-05-15 00:00:00 1105
509 2022-05-16 00:00:00 956
510 2022-05-17 00:00:00 881
511 2022-05-18 00:00:00 804
512 2022-05-19 00:00:00 807
513 2022-05-20 00:00:00 831
514 2022-05-21 00:00:00 1091
515 2022-05-22 00:00:00 1163
516 2022-05-23 00:00:00 988
517 2022-05-24 00:00:00 914
518 2022-05-25 00:00:00 931
519 2022-05-26 00:00:00 938
520 2022-05-27 00:00:00 997
521 2022-05-28 00:00:00 1067
522 2022-05-29 00:00:00 1079
523 2022-05-30 00:00:00 1049
524 2022-05-31 00:00:00 960
525 2022-06-01 00:00:00 907
526 2022-06-02 00:00:00 871
527 2022-06-03 00:00:00 922
528 2022-06-04 00:00:00 1055
529 2022-06-05 00:00:00 1085
530 2022-06-06 00:00:00 961
531 2022-06-07 00:00:00 945
532 2022-06-08 00:00:00 922
533 2022-06-09 00:00:00 859
534 2022-06-10 00:00:00 899
535 2022-06-11 00:00:00 1045
536 2022-06-12 00:00:00 1035
537 2022-06-13 00:00:00 957
538 2022-06-14 00:00:00 984
539 2022-06-15 00:00:00 1011
540 2022-06-16 00:00:00 1016
541 2022-06-17 00:00:00 1078
542 2022-06-18 00:00:00 1135
543 2022-06-19 00:00:00 1178
544 2022-06-20 00:00:00 1149
545 2022-06-21 00:00:00 1090
546 2022-06-22 00:00:00 1099
547 2022-06-23 00:00:00 1288
548 2022-06-24 00:00:00 1503
549 2022-06-25 00:00:00 1749
550 2022-06-26 00:00:00 1922
551 2022-06-27 00:00:00 1882
552 2022-06-28 00:00:00 1847
553 2022-06-29 00:00:00 1907
554 2022-06-30 00:00:00 1882
555 2022-07-01 00:00:00 1784
556 2022-07-02 00:00:00 1902
557 2022-07-03 00:00:00 1991
558 2022-07-04 00:00:00 2070
559 2022-07-05 00:00:00 1991
560 2022-07-06 00:00:00 1913
561 2022-07-07 00:00:00 1949
562 2022-07-08 00:00:00 1802
563 2022-07-09 00:00:00 1761
564 2022-07-10 00:00:00 1838
565 2022-07-11 00:00:00 1646
566 2022-07-12 00:00:00 1589
567 2022-07-13 00:00:00 1459
568 2022-07-14 00:00:00 1361
569 2022-07-15 00:00:00 1278
570 2022-07-16 00:00:00 1297
571 2022-07-17 00:00:00 1423
572 2022-07-18 00:00:00 1401
573 2022-07-19 00:00:00 1333
574 2022-07-20 00:00:00 1265
575 2022-07-21 00:00:00 1230
576 2022-07-22 00:00:00 1283
577 2022-07-23 00:00:00 1292
578 2022-07-24 00:00:00 1400
579 2022-07-25 00:00:00 1331
580 2022-07-26 00:00:00 1281
581 2022-07-27 00:00:00 1282
582 2022-07-28 00:00:00 1238
583 2022-07-29 00:00:00 1180
584 2022-07-30 00:00:00 1218
585 2022-07-31 00:00:00 1258
586 2022-08-01 00:00:00 1137
587 2022-08-02 00:00:00 1153
588 2022-08-03 00:00:00 1077
589 2022-08-04 00:00:00 1073
590 2022-08-05 00:00:00 1077
591 2022-08-06 00:00:00 1216
592 2022-08-07 00:00:00 1277
593 2022-08-08 00:00:00 1175
594 2022-08-09 00:00:00 1146
595 2022-08-10 00:00:00 1129
596 2022-08-11 00:00:00 1053
597 2022-08-12 00:00:00 1014
598 2022-08-13 00:00:00 1080
599 2022-08-14 00:00:00 1190
600 2022-08-15 00:00:00 1064
601 2022-08-16 00:00:00 1025
602 2022-08-17 00:00:00 993
603 2022-08-18 00:00:00 974
604 2022-08-19 00:00:00 906
605 2022-08-20 00:00:00 1093
606 2022-08-21 00:00:00 1157
607 2022-08-22 00:00:00 1010
608 2022-08-23 00:00:00 940
609 2022-08-24 00:00:00 849
610 2022-08-25 00:00:00 771
611 2022-08-26 00:00:00 846
612 2022-08-27 00:00:00 921
613 2022-08-28 00:00:00 994
614 2022-08-29 00:00:00 886
615 2022-08-30 00:00:00 781
616 2022-08-31 00:00:00 791
617 2022-09-01 00:00:00 764
618 2022-09-02 00:00:00 796
619 2022-09-03 00:00:00 1016
620 2022-09-04 00:00:00 1023
621 2022-09-05 00:00:00 1052
622 2022-09-06 00:00:00 955
623 2022-09-07 00:00:00 811
624 2022-09-08 00:00:00 788
625 2022-09-09 00:00:00 761
626 2022-09-10 00:00:00 957
627 2022-09-11 00:00:00 1029
628 2022-09-12 00:00:00 843
629 2022-09-13 00:00:00 759
630 2022-09-14 00:00:00 688
631 2022-09-15 00:00:00 676
632 2022-09-16 00:00:00 717
633 2022-09-17 00:00:00 1029
634 2022-09-18 00:00:00 1070
635 2022-09-19 00:00:00 902
636 2022-09-20 00:00:00 720
637 2022-09-21 00:00:00 693
638 2022-09-22 00:00:00 668
639 2022-09-23 00:00:00 738 568
640 2022-09-24 00:00:00 968 737
641 2022-09-25 00:00:00 1018 789
642 2022-09-26 00:00:00 850 609
643 2022-09-27 00:00:00 791 554
644 2022-09-28 00:00:00 765 515
645 2022-09-29 00:00:00 676 499
646 2022-09-30 00:00:00 701 541
647 2022-10-01 00:00:00 898 691
648 2022-10-02 00:00:00 885 697
649 2022-10-03 00:00:00 774 545
650 2022-10-04 00:00:00 684 518
651 2022-10-05 00:00:00 674 517
652 2022-10-06 00:00:00 631 483
653 2022-10-07 00:00:00 666 518
654 2022-10-08 00:00:00 900 676
655 2022-10-09 00:00:00 865 704
656 2022-10-10 00:00:00 759 592
657 2022-10-11 00:00:00 691 509
658 2022-10-12 00:00:00 666 503
659 2022-10-13 00:00:00 623 466
660 2022-10-14 00:00:00 691 508
661 2022-10-15 00:00:00 879 678
662 2022-10-16 00:00:00 871 717
663 2022-10-17 00:00:00 758 524
664 2022-10-18 00:00:00 635 485
665 2022-10-19 00:00:00 615 472
666 2022-10-20 00:00:00 632 483
667 2022-10-21 00:00:00 701 522
668 2022-10-22 00:00:00 867 665
669 2022-10-23 00:00:00 905 706
670 2022-10-24 00:00:00 746 534
671 2022-10-25 00:00:00 662 509
672 2022-10-26 00:00:00 740 580
673 2022-10-27 00:00:00 784 639
674 2022-10-28 00:00:00 857 713
675 2022-10-29 00:00:00 1110 875
676 2022-10-30 00:00:00 1157 950
677 2022-10-31 00:00:00 990 756
678 2022-11-01 00:00:00 929 767
679 2022-11-02 00:00:00 910 682
680 2022-11-03 00:00:00 890 660
681 2022-11-04 00:00:00 874 669
682 2022-11-05 00:00:00 1123 881
683 2022-11-06 00:00:00 1091 880
684 2022-11-07 00:00:00 895 618
685 2022-11-08 00:00:00 754 596
686 2022-11-09 00:00:00 767 568
687 2022-11-10 00:00:00 713 553
688 2022-11-11 00:00:00 846 640
689 2022-11-12 00:00:00 1003 801
690 2022-11-13 00:00:00 1006 801
691 2022-11-14 00:00:00 874 610
692 2022-11-15 00:00:00 746 566
693 2022-11-16 00:00:00 720 532
694 2022-11-17 00:00:00 680 541
695 2022-11-18 00:00:00 714 562
696 2022-11-19 00:00:00 877 706
697 2022-11-20 00:00:00 859 729
698 2022-11-21 00:00:00 771 584
699 2022-11-22 00:00:00 731 573
700 2022-11-23 00:00:00 910 685
701 2022-11-24 00:00:00 978 753
702 2022-11-25 00:00:00 1064 819
703 2022-11-26 00:00:00 1222 1015
704 2022-11-27 00:00:00 1251 1051
705 2022-11-28 00:00:00 1169 817
706 2022-11-29 00:00:00 1056 787
707 2022-11-30 00:00:00 1011 744
708 2022-12-01 00:00:00 896 687
709 2022-12-02 00:00:00 905 723
710 2022-12-03 00:00:00 1119 903
711 2022-12-04 00:00:00 1064 892
712 2022-12-05 00:00:00 933 674
713 2022-12-06 00:00:00 840 645
714 2022-12-07 00:00:00 839 594
715 2022-12-08 00:00:00 765 611
716 2022-12-09 00:00:00 792 599
717 2022-12-10 00:00:00 1030 776
718 2022-12-11 00:00:00 955 797
719 2022-12-12 00:00:00 855 626
720 2022-12-13 00:00:00 778 582
721 2022-12-14 00:00:00 722 587
722 2022-12-15 00:00:00 762 600
723 2022-12-16 00:00:00 791 622
724 2022-12-17 00:00:00 969 775
725 2022-12-18 00:00:00 940 793
726 2022-12-19 00:00:00 904 708
727 2022-12-20 00:00:00 910 692
728 2022-12-21 00:00:00 888 699
729 2022-12-22 00:00:00 982 733
730 2022-12-23 00:00:00 1171 945
731 2022-12-24 00:00:00 1198 1006
732 2022-12-25 00:00:00 1557 1147
733 2022-12-26 00:00:00 1735 1363
734 2022-12-27 00:00:00 1794 1442
735 2022-12-28 00:00:00 1767 1459
736 2022-12-29 00:00:00 1787 1463
737 2022-12-30 00:00:00 1734 1466
738 2022-12-31 00:00:00 1625 1376
739 2023-01-01 00:00:00 1847 1425
740 2023-01-02 00:00:00 1845 1540
741 2023-01-03 00:00:00 1808 1450
742 2023-01-04 00:00:00 1698 1383
743 2023-01-05 00:00:00 1686 1327
744 2023-01-06 00:00:00 1596 1304
745 2023-01-07 00:00:00 1657 1386
746 2023-01-08 00:00:00 1568 1376
747 2023-01-09 00:00:00 1448 1070
748 2023-01-10 00:00:00 1334 993
749 2023-01-11 00:00:00 1287 967
750 2023-01-12 00:00:00 1252 954
751 2023-01-13 00:00:00 1223 975
752 2023-01-14 00:00:00 1435 1144
753 2023-01-15 00:00:00 1472 1206
754 2023-01-16 00:00:00 1389 1036
755 2023-01-17 00:00:00 1201 889
756 2023-01-18 00:00:00 1071 815
757 2023-01-19 00:00:00 977 801
758 2023-01-20 00:00:00 1006 815
759 2023-01-21 00:00:00 1276 973
760 2023-01-22 00:00:00 1264 1022
761 2023-01-23 00:00:00 1070 809
762 2023-01-24 00:00:00 996 768
763 2023-01-25 00:00:00 909 764
764 2023-01-26 00:00:00 887 745
765 2023-01-27 00:00:00 1003 778
766 2023-01-28 00:00:00 1349 981
767 2023-01-29 00:00:00 1338 1016
768 2023-01-30 00:00:00 1093 817
769 2023-01-31 00:00:00 987 768
770 2023-02-01 00:00:00 965 774
771 2023-02-02 00:00:00 940 743
772 2023-02-03 00:00:00 1046 784
773 2023-02-04 00:00:00 1285 972
774 2023-02-05 00:00:00 1241 972
775 2023-02-06 00:00:00 1046 767
776 2023-02-07 00:00:00 867 699
777 2023-02-08 00:00:00 880 695
778 2023-02-09 00:00:00 857 686
779 2023-02-10 00:00:00 927 705
780 2023-02-11 00:00:00 1162 888
781 2023-02-12 00:00:00 1251 935
782 2023-02-13 00:00:00 980 718
783 2023-02-14 00:00:00 823 657
784 2023-02-15 00:00:00 843 653
785 2023-02-16 00:00:00 842 653
786 2023-02-17 00:00:00 977 707
787 2023-02-18 00:00:00 1112 858
788 2023-02-19 00:00:00 1124 885
789 2023-02-20 00:00:00 1084 788
790 2023-02-21 00:00:00 927 712
791 2023-02-22 00:00:00 910 699
792 2023-02-23 00:00:00 894 687
793 2023-02-24 00:00:00 878 698
794 2023-02-25 00:00:00 1046 833
795 2023-02-26 00:00:00 1085 852
796 2023-02-27 00:00:00 877 636
797 2023-02-28 00:00:00 782 615
798 2023-03-01 00:00:00 753 589
799 2023-03-02 00:00:00 730 559
800 2023-03-03 00:00:00 769 600
801 2023-03-04 00:00:00 1046 790
802 2023-03-05 00:00:00 1037 840
803 2023-03-06 00:00:00 858 603
804 2023-03-07 00:00:00 699 558
805 2023-03-08 00:00:00 694 550
806 2023-03-09 00:00:00 687 531
807 2023-03-10 00:00:00 769 579
808 2023-03-11 00:00:00 1067 797
809 2023-03-12 00:00:00 999 819
810 2023-03-13 00:00:00 833 608
811 2023-03-14 00:00:00 796 574
812 2023-03-15 00:00:00 768 589
813 2023-03-16 00:00:00 807 587
814 2023-03-17 00:00:00 982 712
815 2023-03-18 00:00:00 1163 941
816 2023-03-19 00:00:00 1289 1013
817 2023-03-20 00:00:00 1006 756
818 2023-03-21 00:00:00 953 750
819 2023-03-22 00:00:00 933 739
820 2023-03-23 00:00:00 923 736
821 2023-03-24 00:00:00 1024 778
822 2023-03-25 00:00:00 1212 972
823 2023-03-26 00:00:00 1192 960
824 2023-03-27 00:00:00 902 699
825 2023-03-28 00:00:00 822 652
826 2023-03-29 00:00:00 781 632
827 2023-03-30 00:00:00 768 621
828 2023-03-31 00:00:00 849 656
829 2023-04-01 00:00:00 1036 836
830 2023-04-02 00:00:00 1126 891
831 2023-04-03 00:00:00 853 669
832 2023-04-04 00:00:00 842 660
833 2023-04-05 00:00:00 806 673
834 2023-04-06 00:00:00 832 658
835 2023-04-07 00:00:00 991 750
836 2023-04-08 00:00:00 999 811
837 2023-04-09 00:00:00 962 790
838 2023-04-10 00:00:00 874 682
839 2023-04-11 00:00:00 751 599
840 2023-04-12 00:00:00 675 545
841 2023-04-13 00:00:00 658 521
842 2023-04-14 00:00:00 741 556
843 2023-04-15 00:00:00 908 687
844 2023-04-16 00:00:00 924 712
845 2023-04-17 00:00:00 762 525
846 2023-04-18 00:00:00 618 495
847 2023-04-19 00:00:00 615 474
848 2023-04-20 00:00:00 614 484
849 2023-04-21 00:00:00 673 524
850 2023-04-22 00:00:00 865 668
851 2023-04-23 00:00:00 911 699
852 2023-04-24 00:00:00 747 526
853 2023-04-25 00:00:00 629 508
854 2023-04-26 00:00:00 594 470
855 2023-04-27 00:00:00 597 465
856 2023-04-28 00:00:00 641 496
857 2023-04-29 00:00:00 826 642
858 2023-04-30 00:00:00 892 698
859 2023-05-01 00:00:00 735 589
860 2023-05-02 00:00:00 621 485
861 2023-05-03 00:00:00 567 474
862 2023-05-04 00:00:00 566 443
863 2023-05-05 00:00:00 604 476
864 2023-05-06 00:00:00 766 602
865 2023-05-07 00:00:00 824 656
866 2023-05-08 00:00:00 666 513
867 2023-05-09 00:00:00 620 459
868 2023-05-10 00:00:00 556 436
869 2023-05-11 00:00:00 539 420
870 2023-05-12 00:00:00 570 453
871 2023-05-13 00:00:00 748 588
872 2023-05-14 00:00:00 746 603
873 2023-05-15 00:00:00 588 462
874 2023-05-16 00:00:00 568 429
875 2023-05-17 00:00:00 532 437
876 2023-05-18 00:00:00 557 452
877 2023-05-19 00:00:00 579 467
878 2023-05-20 00:00:00 807 594
879 2023-05-21 00:00:00 753 605
880 2023-05-22 00:00:00 585 457
881 2023-05-23 00:00:00 582 447
882 2023-05-24 00:00:00 577 452
883 2023-05-25 00:00:00 601 454
884 2023-05-26 00:00:00 695 493
885 2023-05-27 00:00:00 756 590
886 2023-05-28 00:00:00 777 627
887 2023-05-29 00:00:00 757 562
888 2023-05-30 00:00:00 651 495
889 2023-05-31 00:00:00 624 492
890 2023-06-01 00:00:00 656 497
891 2023-06-02 00:00:00 679 514
892 2023-06-03 00:00:00 745 589
893 2023-06-04 00:00:00 779 617
894 2023-06-05 00:00:00 638 504
895 2023-06-06 00:00:00 662 513
896 2023-06-07 00:00:00 630 495
897 2023-06-08 00:00:00 659 504
898 2023-06-09 00:00:00 670 528
899 2023-06-10 00:00:00 738 602
900 2023-06-11 00:00:00 746 604
901 2023-06-12 00:00:00 718 531
902 2023-06-13 00:00:00 660 518
903 2023-06-14 00:00:00 651 498
904 2023-06-15 00:00:00 646 500
905 2023-06-16 00:00:00 656 495
906 2023-06-17 00:00:00 731 576
907 2023-06-18 00:00:00 762 599
908 2023-06-19 00:00:00 744 555
909 2023-06-20 00:00:00 749 551
910 2023-06-21 00:00:00 680 536
911 2023-06-22 00:00:00 692 550
912 2023-06-23 00:00:00 744 573
913 2023-06-24 00:00:00 767 616
914 2023-06-25 00:00:00 786 613
915 2023-06-26 00:00:00 780 584
916 2023-06-27 00:00:00 718 580
917 2023-06-28 00:00:00 696 566
918 2023-06-29 00:00:00 651 566

24
data/omori/steamdb-price.csv Normal file
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@ -0,0 +1,24 @@
"DateTime","Final price","Flags"
"2020-12-25 08:05:03",16.79,
"2021-02-11 18:05:33",13.43,
"2021-02-13 18:05:09",16.79,
"2021-06-24 19:03:06",13.43,
"2021-07-08 18:02:20",16.79,
"2021-12-22 18:10:12",13.43,
"2021-12-22 18:13:21",13.43,
"2022-01-05 18:10:03",16.79,
"2022-01-27 18:24:16",13.43,
"2022-02-03 18:24:24",16.79,
"2022-03-14 18:40:07",12.59,
"2022-03-21 17:22:57",16.79,
"2022-06-23 17:12:06",10.07,
"2022-07-07 17:27:56",16.79,
"2022-10-25 17:19:26",12.59,
"2022-11-01 17:22:49",16.79,
"2022-11-22 18:11:38",12.59,
"2022-11-29 18:27:58",16.79,
"2022-12-22 18:12:00",11.75,
"2023-01-05 18:30:31",16.79,
"2023-03-16 17:24:10",12.59,
"2023-03-23 17:24:19",16.79,
"2023-06-29 13:27:03",16.79,
1 DateTime Final price Flags
2 2020-12-25 08:05:03 16.79
3 2021-02-11 18:05:33 13.43
4 2021-02-13 18:05:09 16.79
5 2021-06-24 19:03:06 13.43
6 2021-07-08 18:02:20 16.79
7 2021-12-22 18:10:12 13.43
8 2021-12-22 18:13:21 13.43
9 2022-01-05 18:10:03 16.79
10 2022-01-27 18:24:16 13.43
11 2022-02-03 18:24:24 16.79
12 2022-03-14 18:40:07 12.59
13 2022-03-21 17:22:57 16.79
14 2022-06-23 17:12:06 10.07
15 2022-07-07 17:27:56 16.79
16 2022-10-25 17:19:26 12.59
17 2022-11-01 17:22:49 16.79
18 2022-11-22 18:11:38 12.59
19 2022-11-29 18:27:58 16.79
20 2022-12-22 18:12:00 11.75
21 2023-01-05 18:30:31 16.79
22 2023-03-16 17:24:10 12.59
23 2023-03-23 17:24:19 16.79
24 2023-06-29 13:27:03 16.79

237
data/potioncraft/gtrends-worldwide.csv Normal file
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@ -0,0 +1,237 @@
Categoria: Tutte le categorie
Mese,Potion Craft: Alchemist Simulator: (Tutto il mondo)
2004-01,0
2004-02,0
2004-03,5
2004-04,0
2004-05,0
2004-06,0
2004-07,0
2004-08,5
2004-09,0
2004-10,0
2004-11,0
2004-12,0
2005-01,0
2005-02,0
2005-03,0
2005-04,0
2005-05,0
2005-06,0
2005-07,0
2005-08,0
2005-09,0
2005-10,0
2005-11,0
2005-12,0
2006-01,0
2006-02,2
2006-03,0
2006-04,2
2006-05,0
2006-06,0
2006-07,0
2006-08,0
2006-09,0
2006-10,0
2006-11,2
2006-12,0
2007-01,0
2007-02,2
2007-03,1
2007-04,0
2007-05,0
2007-06,0
2007-07,0
2007-08,0
2007-09,0
2007-10,1
2007-11,0
2007-12,0
2008-01,0
2008-02,0
2008-03,1
2008-04,0
2008-05,0
2008-06,0
2008-07,0
2008-08,1
2008-09,0
2008-10,1
2008-11,0
2008-12,0
2009-01,0
2009-02,0
2009-03,0
2009-04,0
2009-05,0
2009-06,< 1
2009-07,0
2009-08,0
2009-09,1
2009-10,1
2009-11,0
2009-12,0
2010-01,0
2010-02,0
2010-03,0
2010-04,1
2010-05,0
2010-06,0
2010-07,0
2010-08,0
2010-09,0
2010-10,0
2010-11,0
2010-12,1
2011-01,0
2011-02,0
2011-03,0
2011-04,0
2011-05,0
2011-06,0
2011-07,0
2011-08,< 1
2011-09,1
2011-10,0
2011-11,0
2011-12,0
2012-01,0
2012-02,0
2012-03,0
2012-04,0
2012-05,< 1
2012-06,0
2012-07,0
2012-08,0
2012-09,0
2012-10,0
2012-11,0
2012-12,0
2013-01,0
2013-02,< 1
2013-03,0
2013-04,0
2013-05,0
2013-06,0
2013-07,0
2013-08,0
2013-09,0
2013-10,< 1
2013-11,< 1
2013-12,0
2014-01,0
2014-02,0
2014-03,0
2014-04,0
2014-05,0
2014-06,< 1
2014-07,0
2014-08,< 1
2014-09,0
2014-10,0
2014-11,0
2014-12,0
2015-01,0
2015-02,0
2015-03,0
2015-04,0
2015-05,0
2015-06,0
2015-07,0
2015-08,< 1
2015-09,0
2015-10,0
2015-11,0
2015-12,0
2016-01,0
2016-02,< 1
2016-03,0
2016-04,0
2016-05,0
2016-06,0
2016-07,0
2016-08,< 1
2016-09,0
2016-10,< 1
2016-11,0
2016-12,0
2017-01,0
2017-02,0
2017-03,0
2017-04,0
2017-05,0
2017-06,0
2017-07,0
2017-08,0
2017-09,< 1
2017-10,0
2017-11,0
2017-12,0
2018-01,0
2018-02,0
2018-03,0
2018-04,< 1
2018-05,0
2018-06,0
2018-07,0
2018-08,0
2018-09,0
2018-10,0
2018-11,0
2018-12,0
2019-01,0
2019-02,0
2019-03,0
2019-04,0
2019-05,< 1
2019-06,1
2019-07,0
2019-08,0
2019-09,0
2019-10,0
2019-11,0
2019-12,0
2020-01,< 1
2020-02,0
2020-03,0
2020-04,0
2020-05,< 1
2020-06,0
2020-07,0
2020-08,0
2020-09,0
2020-10,0
2020-11,< 1
2020-12,0
2021-01,< 1
2021-02,0
2021-03,0
2021-04,0
2021-05,0
2021-06,0
2021-07,0
2021-08,< 1
2021-09,0
2021-10,0
2021-11,0
2021-12,0
2022-01,17
2022-02,14
2022-03,10
2022-04,13
2022-05,16
2022-06,12
2022-07,11
2022-08,17
2022-09,14
2022-10,10
2022-11,8
2022-12,100
2023-01,67
2023-02,29
2023-03,28
2023-04,22
2023-05,18
2023-06,24
1 Categoria: Tutte le categorie
2 Mese,Potion Craft: Alchemist Simulator: (Tutto il mondo)
3 2004-01,0
4 2004-02,0
5 2004-03,5
6 2004-04,0
7 2004-05,0
8 2004-06,0
9 2004-07,0
10 2004-08,5
11 2004-09,0
12 2004-10,0
13 2004-11,0
14 2004-12,0
15 2005-01,0
16 2005-02,0
17 2005-03,0
18 2005-04,0
19 2005-05,0
20 2005-06,0
21 2005-07,0
22 2005-08,0
23 2005-09,0
24 2005-10,0
25 2005-11,0
26 2005-12,0
27 2006-01,0
28 2006-02,2
29 2006-03,0
30 2006-04,2
31 2006-05,0
32 2006-06,0
33 2006-07,0
34 2006-08,0
35 2006-09,0
36 2006-10,0
37 2006-11,2
38 2006-12,0
39 2007-01,0
40 2007-02,2
41 2007-03,1
42 2007-04,0
43 2007-05,0
44 2007-06,0
45 2007-07,0
46 2007-08,0
47 2007-09,0
48 2007-10,1
49 2007-11,0
50 2007-12,0
51 2008-01,0
52 2008-02,0
53 2008-03,1
54 2008-04,0
55 2008-05,0
56 2008-06,0
57 2008-07,0
58 2008-08,1
59 2008-09,0
60 2008-10,1
61 2008-11,0
62 2008-12,0
63 2009-01,0
64 2009-02,0
65 2009-03,0
66 2009-04,0
67 2009-05,0
68 2009-06,< 1
69 2009-07,0
70 2009-08,0
71 2009-09,1
72 2009-10,1
73 2009-11,0
74 2009-12,0
75 2010-01,0
76 2010-02,0
77 2010-03,0
78 2010-04,1
79 2010-05,0
80 2010-06,0
81 2010-07,0
82 2010-08,0
83 2010-09,0
84 2010-10,0
85 2010-11,0
86 2010-12,1
87 2011-01,0
88 2011-02,0
89 2011-03,0
90 2011-04,0
91 2011-05,0
92 2011-06,0
93 2011-07,0
94 2011-08,< 1
95 2011-09,1
96 2011-10,0
97 2011-11,0
98 2011-12,0
99 2012-01,0
100 2012-02,0
101 2012-03,0
102 2012-04,0
103 2012-05,< 1
104 2012-06,0
105 2012-07,0
106 2012-08,0
107 2012-09,0
108 2012-10,0
109 2012-11,0
110 2012-12,0
111 2013-01,0
112 2013-02,< 1
113 2013-03,0
114 2013-04,0
115 2013-05,0
116 2013-06,0
117 2013-07,0
118 2013-08,0
119 2013-09,0
120 2013-10,< 1
121 2013-11,< 1
122 2013-12,0
123 2014-01,0
124 2014-02,0
125 2014-03,0
126 2014-04,0
127 2014-05,0
128 2014-06,< 1
129 2014-07,0
130 2014-08,< 1
131 2014-09,0
132 2014-10,0
133 2014-11,0
134 2014-12,0
135 2015-01,0
136 2015-02,0
137 2015-03,0
138 2015-04,0
139 2015-05,0
140 2015-06,0
141 2015-07,0
142 2015-08,< 1
143 2015-09,0
144 2015-10,0
145 2015-11,0
146 2015-12,0
147 2016-01,0
148 2016-02,< 1
149 2016-03,0
150 2016-04,0
151 2016-05,0
152 2016-06,0
153 2016-07,0
154 2016-08,< 1
155 2016-09,0
156 2016-10,< 1
157 2016-11,0
158 2016-12,0
159 2017-01,0
160 2017-02,0
161 2017-03,0
162 2017-04,0
163 2017-05,0
164 2017-06,0
165 2017-07,0
166 2017-08,0
167 2017-09,< 1
168 2017-10,0
169 2017-11,0
170 2017-12,0
171 2018-01,0
172 2018-02,0
173 2018-03,0
174 2018-04,< 1
175 2018-05,0
176 2018-06,0
177 2018-07,0
178 2018-08,0
179 2018-09,0
180 2018-10,0
181 2018-11,0
182 2018-12,0
183 2019-01,0
184 2019-02,0
185 2019-03,0
186 2019-04,0
187 2019-05,< 1
188 2019-06,1
189 2019-07,0
190 2019-08,0
191 2019-09,0
192 2019-10,0
193 2019-11,0
194 2019-12,0
195 2020-01,< 1
196 2020-02,0
197 2020-03,0
198 2020-04,0
199 2020-05,< 1
200 2020-06,0
201 2020-07,0
202 2020-08,0
203 2020-09,0
204 2020-10,0
205 2020-11,< 1
206 2020-12,0
207 2021-01,< 1
208 2021-02,0
209 2021-03,0
210 2021-04,0
211 2021-05,0
212 2021-06,0
213 2021-07,0
214 2021-08,< 1
215 2021-09,0
216 2021-10,0
217 2021-11,0
218 2021-12,0
219 2022-01,17
220 2022-02,14
221 2022-03,10
222 2022-04,13
223 2022-05,16
224 2022-06,12
225 2022-07,11
226 2022-08,17
227 2022-09,14
228 2022-10,10
229 2022-11,8
230 2022-12,100
231 2023-01,67
232 2023-02,29
233 2023-03,28
234 2023-04,22
235 2023-05,18
236 2023-06,24

33
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data/potioncraft/steam_appid.txt Normal file
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data/potioncraft/steamdb-players.csv Normal file
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"DateTime","Players","Average Players","Flags"
"2021-09-21 00:00:00",4202,,
"2021-09-22 00:00:00",7046,,
"2021-09-23 00:00:00",6694,,
"2021-09-24 00:00:00",5837,,
"2021-09-25 00:00:00",6301,,
"2021-09-26 00:00:00",6276,,
"2021-09-27 00:00:00",5039,,
"2021-09-28 00:00:00",4405,,
"2021-09-29 00:00:00",3657,,
"2021-09-30 00:00:00",3151,,
"2021-10-01 00:00:00",2975,,
"2021-10-02 00:00:00",3206,,
"2021-10-03 00:00:00",3070,,
"2021-10-04 00:00:00",2298,,
"2021-10-05 00:00:00",1852,,
"2021-10-06 00:00:00",2010,,
"2021-10-07 00:00:00",2386,,
"2021-10-08 00:00:00",2213,,
"2021-10-09 00:00:00",2403,,
"2021-10-10 00:00:00",2174,,
"2021-10-11 00:00:00",1514,,
"2021-10-12 00:00:00",1317,,
"2021-10-13 00:00:00",1129,,
"2021-10-14 00:00:00",1218,,
"2021-10-15 00:00:00",1116,,
"2021-10-16 00:00:00",1322,,
"2021-10-17 00:00:00",1395,,
"2021-10-18 00:00:00",953,,
"2021-10-19 00:00:00",941,,
"2021-10-20 00:00:00",859,,
"2021-10-21 00:00:00",1552,,
"2021-10-22 00:00:00",1942,,
"2021-10-23 00:00:00",2081,,
"2021-10-24 00:00:00",1859,,
"2021-10-25 00:00:00",1435,,
"2021-10-26 00:00:00",1176,,
"2021-10-27 00:00:00",1034,,
"2021-10-28 00:00:00",895,,
"2021-10-29 00:00:00",883,,
"2021-10-30 00:00:00",977,,
"2021-10-31 00:00:00",1011,,
"2021-11-01 00:00:00",830,,
"2021-11-02 00:00:00",768,,
"2021-11-03 00:00:00",707,,
"2021-11-04 00:00:00",653,,
"2021-11-05 00:00:00",615,,
"2021-11-06 00:00:00",730,,
"2021-11-07 00:00:00",733,,
"2021-11-08 00:00:00",535,,
"2021-11-09 00:00:00",483,,
"2021-11-10 00:00:00",460,,
"2021-11-11 00:00:00",479,,
"2021-11-12 00:00:00",461,,
"2021-11-13 00:00:00",566,,
"2021-11-14 00:00:00",611,,
"2021-11-15 00:00:00",494,,
"2021-11-16 00:00:00",477,,
"2021-11-17 00:00:00",436,,
"2021-11-18 00:00:00",393,,
"2021-11-19 00:00:00",417,,
"2021-11-20 00:00:00",471,,
"2021-11-21 00:00:00",466,,
"2021-11-22 00:00:00",376,,
"2021-11-23 00:00:00",346,,
"2021-11-24 00:00:00",523,,
"2021-11-25 00:00:00",886,,
"2021-11-26 00:00:00",1063,,
"2021-11-27 00:00:00",1251,,
"2021-11-28 00:00:00",1259,,
"2021-11-29 00:00:00",951,,
"2021-11-30 00:00:00",895,,
"2021-12-01 00:00:00",826,,
"2021-12-02 00:00:00",656,,
"2021-12-03 00:00:00",632,,
"2021-12-04 00:00:00",665,,
"2021-12-05 00:00:00",628,,
"2021-12-06 00:00:00",457,,
"2021-12-07 00:00:00",404,,
"2021-12-08 00:00:00",426,,
"2021-12-09 00:00:00",441,,
"2021-12-10 00:00:00",450,,
"2021-12-11 00:00:00",560,,
"2021-12-12 00:00:00",524,,
"2021-12-13 00:00:00",400,,
"2021-12-14 00:00:00",339,,
"2021-12-15 00:00:00",333,,
"2021-12-16 00:00:00",379,,
"2021-12-17 00:00:00",370,,
"2021-12-18 00:00:00",430,,
"2021-12-19 00:00:00",440,,
"2021-12-20 00:00:00",362,,
"2021-12-21 00:00:00",567,,
"2021-12-22 00:00:00",734,,
"2021-12-23 00:00:00",1062,,
"2021-12-24 00:00:00",1072,,
"2021-12-25 00:00:00",1420,,
"2021-12-26 00:00:00",1470,,
"2021-12-27 00:00:00",1436,,
"2021-12-28 00:00:00",1327,,
"2021-12-29 00:00:00",1234,,
"2021-12-30 00:00:00",1099,,
"2021-12-31 00:00:00",972,,
"2022-01-01 00:00:00",1211,,
"2022-01-02 00:00:00",1210,,
"2022-01-03 00:00:00",1020,,
"2022-01-04 00:00:00",933,,
"2022-01-05 00:00:00",872,,
"2022-01-06 00:00:00",768,,
"2022-01-07 00:00:00",669,,
"2022-01-08 00:00:00",788,,
"2022-01-09 00:00:00",874,,
"2022-01-10 00:00:00",688,,
"2022-01-11 00:00:00",656,,
"2022-01-12 00:00:00",574,,
"2022-01-13 00:00:00",527,,
"2022-01-14 00:00:00",515,,
"2022-01-15 00:00:00",626,,
"2022-01-16 00:00:00",640,,
"2022-01-17 00:00:00",530,,
"2022-01-18 00:00:00",460,,
"2022-01-19 00:00:00",401,,
"2022-01-20 00:00:00",431,,
"2022-01-21 00:00:00",449,,
"2022-01-22 00:00:00",499,,
"2022-01-23 00:00:00",503,,
"2022-01-24 00:00:00",399,,
"2022-01-25 00:00:00",380,,
"2022-01-26 00:00:00",345,,
"2022-01-27 00:00:00",407,,
"2022-01-28 00:00:00",600,,
"2022-01-29 00:00:00",801,,
"2022-01-30 00:00:00",788,,
"2022-01-31 00:00:00",605,,
"2022-02-01 00:00:00",618,,
"2022-02-02 00:00:00",617,,
"2022-02-03 00:00:00",649,,
"2022-02-04 00:00:00",544,,
"2022-02-05 00:00:00",579,,
"2022-02-06 00:00:00",510,,
"2022-02-07 00:00:00",384,,
"2022-02-08 00:00:00",328,,
"2022-02-09 00:00:00",329,,
"2022-02-10 00:00:00",313,,
"2022-02-11 00:00:00",341,,
"2022-02-12 00:00:00",431,,
"2022-02-13 00:00:00",384,,
"2022-02-14 00:00:00",305,,
"2022-02-15 00:00:00",295,,
"2022-02-16 00:00:00",271,,
"2022-02-17 00:00:00",267,,
"2022-02-18 00:00:00",304,,
"2022-02-19 00:00:00",363,,
"2022-02-20 00:00:00",347,,
"2022-02-21 00:00:00",802,,
"2022-02-22 00:00:00",1140,,
"2022-02-23 00:00:00",1018,,
"2022-02-24 00:00:00",688,,
"2022-02-25 00:00:00",554,,
"2022-02-26 00:00:00",508,,
"2022-02-27 00:00:00",464,,
"2022-02-28 00:00:00",339,,
"2022-03-01 00:00:00",305,,
"2022-03-02 00:00:00",302,,
"2022-03-03 00:00:00",288,,
"2022-03-04 00:00:00",294,,
"2022-03-05 00:00:00",333,,
"2022-03-06 00:00:00",326,,
"2022-03-07 00:00:00",263,,
"2022-03-08 00:00:00",248,,
"2022-03-09 00:00:00",239,,
"2022-03-10 00:00:00",237,,
"2022-03-11 00:00:00",243,,
"2022-03-12 00:00:00",313,,
"2022-03-13 00:00:00",305,,
"2022-03-14 00:00:00",224,,
"2022-03-15 00:00:00",207,,
"2022-03-16 00:00:00",213,,
"2022-03-17 00:00:00",216,,
"2022-03-18 00:00:00",235,,
"2022-03-19 00:00:00",262,,
"2022-03-20 00:00:00",283,,
"2022-03-21 00:00:00",237,,
"2022-03-22 00:00:00",204,,
"2022-03-23 00:00:00",194,,
"2022-03-24 00:00:00",193,,
"2022-03-25 00:00:00",223,,
"2022-03-26 00:00:00",311,,
"2022-03-27 00:00:00",293,,
"2022-03-28 00:00:00",397,,
"2022-03-29 00:00:00",608,,
"2022-03-30 00:00:00",671,,
"2022-03-31 00:00:00",700,,
"2022-04-01 00:00:00",672,,
"2022-04-02 00:00:00",836,,
"2022-04-03 00:00:00",901,,
"2022-04-04 00:00:00",627,,
"2022-04-05 00:00:00",477,,
"2022-04-06 00:00:00",402,,
"2022-04-07 00:00:00",345,,
"2022-04-08 00:00:00",351,,
"2022-04-09 00:00:00",438,,
"2022-04-10 00:00:00",529,,
"2022-04-11 00:00:00",398,,
"2022-04-12 00:00:00",394,,
"2022-04-13 00:00:00",321,,
"2022-04-14 00:00:00",337,,
"2022-04-15 00:00:00",350,,
"2022-04-16 00:00:00",377,,
"2022-04-17 00:00:00",343,,
"2022-04-18 00:00:00",303,,
"2022-04-19 00:00:00",244,,
"2022-04-20 00:00:00",227,,
"2022-04-21 00:00:00",251,,
"2022-04-22 00:00:00",271,,
"2022-04-23 00:00:00",312,,
"2022-04-24 00:00:00",322,,
"2022-04-25 00:00:00",233,,
"2022-04-26 00:00:00",230,,
"2022-04-27 00:00:00",208,,
"2022-04-28 00:00:00",243,,
"2022-04-29 00:00:00",258,,
"2022-04-30 00:00:00",322,,
"2022-05-01 00:00:00",309,,
"2022-05-02 00:00:00",276,,
"2022-05-03 00:00:00",254,,
"2022-05-04 00:00:00",415,,
"2022-05-05 00:00:00",541,,
"2022-05-06 00:00:00",492,,
"2022-05-07 00:00:00",509,,
"2022-05-08 00:00:00",492,,
"2022-05-09 00:00:00",400,,
"2022-05-10 00:00:00",396,,
"2022-05-11 00:00:00",339,,
"2022-05-12 00:00:00",310,,
"2022-05-13 00:00:00",331,,
"2022-05-14 00:00:00",404,,
"2022-05-15 00:00:00",384,,
"2022-05-16 00:00:00",305,,
"2022-05-17 00:00:00",306,,
"2022-05-18 00:00:00",291,,
"2022-05-19 00:00:00",269,,
"2022-05-20 00:00:00",294,,
"2022-05-21 00:00:00",341,,
"2022-05-22 00:00:00",363,,
"2022-05-23 00:00:00",307,,
"2022-05-24 00:00:00",292,,
"2022-05-25 00:00:00",267,,
"2022-05-26 00:00:00",305,,
"2022-05-27 00:00:00",293,,
"2022-05-28 00:00:00",375,,
"2022-05-29 00:00:00",337,,
"2022-05-30 00:00:00",297,,
"2022-05-31 00:00:00",266,,
"2022-06-01 00:00:00",256,,
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1 DateTime Players Average Players Flags
2 2021-09-21 00:00:00 4202
3 2021-09-22 00:00:00 7046
4 2021-09-23 00:00:00 6694
5 2021-09-24 00:00:00 5837
6 2021-09-25 00:00:00 6301
7 2021-09-26 00:00:00 6276
8 2021-09-27 00:00:00 5039
9 2021-09-28 00:00:00 4405
10 2021-09-29 00:00:00 3657
11 2021-09-30 00:00:00 3151
12 2021-10-01 00:00:00 2975
13 2021-10-02 00:00:00 3206
14 2021-10-03 00:00:00 3070
15 2021-10-04 00:00:00 2298
16 2021-10-05 00:00:00 1852
17 2021-10-06 00:00:00 2010
18 2021-10-07 00:00:00 2386
19 2021-10-08 00:00:00 2213
20 2021-10-09 00:00:00 2403
21 2021-10-10 00:00:00 2174
22 2021-10-11 00:00:00 1514
23 2021-10-12 00:00:00 1317
24 2021-10-13 00:00:00 1129
25 2021-10-14 00:00:00 1218
26 2021-10-15 00:00:00 1116
27 2021-10-16 00:00:00 1322
28 2021-10-17 00:00:00 1395
29 2021-10-18 00:00:00 953
30 2021-10-19 00:00:00 941
31 2021-10-20 00:00:00 859
32 2021-10-21 00:00:00 1552
33 2021-10-22 00:00:00 1942
34 2021-10-23 00:00:00 2081
35 2021-10-24 00:00:00 1859
36 2021-10-25 00:00:00 1435
37 2021-10-26 00:00:00 1176
38 2021-10-27 00:00:00 1034
39 2021-10-28 00:00:00 895
40 2021-10-29 00:00:00 883
41 2021-10-30 00:00:00 977
42 2021-10-31 00:00:00 1011
43 2021-11-01 00:00:00 830
44 2021-11-02 00:00:00 768
45 2021-11-03 00:00:00 707
46 2021-11-04 00:00:00 653
47 2021-11-05 00:00:00 615
48 2021-11-06 00:00:00 730
49 2021-11-07 00:00:00 733
50 2021-11-08 00:00:00 535
51 2021-11-09 00:00:00 483
52 2021-11-10 00:00:00 460
53 2021-11-11 00:00:00 479
54 2021-11-12 00:00:00 461
55 2021-11-13 00:00:00 566
56 2021-11-14 00:00:00 611
57 2021-11-15 00:00:00 494
58 2021-11-16 00:00:00 477
59 2021-11-17 00:00:00 436
60 2021-11-18 00:00:00 393
61 2021-11-19 00:00:00 417
62 2021-11-20 00:00:00 471
63 2021-11-21 00:00:00 466
64 2021-11-22 00:00:00 376
65 2021-11-23 00:00:00 346
66 2021-11-24 00:00:00 523
67 2021-11-25 00:00:00 886
68 2021-11-26 00:00:00 1063
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583 2023-04-25 00:00:00 630 459
584 2023-04-26 00:00:00 548 406
585 2023-04-27 00:00:00 562 433
586 2023-04-28 00:00:00 583 419
587 2023-04-29 00:00:00 693 525
588 2023-04-30 00:00:00 716 540
589 2023-05-01 00:00:00 649 497
590 2023-05-02 00:00:00 530 407
591 2023-05-03 00:00:00 501 378
592 2023-05-04 00:00:00 495 366
593 2023-05-05 00:00:00 513 400
594 2023-05-06 00:00:00 646 480
595 2023-05-07 00:00:00 644 512
596 2023-05-08 00:00:00 511 383
597 2023-05-09 00:00:00 481 364
598 2023-05-10 00:00:00 438 336
599 2023-05-11 00:00:00 499 355
600 2023-05-12 00:00:00 515 360
601 2023-05-13 00:00:00 581 426
602 2023-05-14 00:00:00 553 433
603 2023-05-15 00:00:00 455 339
604 2023-05-16 00:00:00 441 325
605 2023-05-17 00:00:00 446 327
606 2023-05-18 00:00:00 440 326
607 2023-05-19 00:00:00 423 317
608 2023-05-20 00:00:00 513 375
609 2023-05-21 00:00:00 529 390
610 2023-05-22 00:00:00 429 305
611 2023-05-23 00:00:00 388 292
612 2023-05-24 00:00:00 401 291
613 2023-05-25 00:00:00 366 290
614 2023-05-26 00:00:00 502 350
615 2023-05-27 00:00:00 1151 831
616 2023-05-28 00:00:00 1272 991
617 2023-05-29 00:00:00 1190 867
618 2023-05-30 00:00:00 973 740
619 2023-05-31 00:00:00 944 734
620 2023-06-01 00:00:00 1012 760
621 2023-06-02 00:00:00 1053 758
622 2023-06-03 00:00:00 1009 762
623 2023-06-04 00:00:00 949 729
624 2023-06-05 00:00:00 716 539
625 2023-06-06 00:00:00 615 491
626 2023-06-07 00:00:00 626 464
627 2023-06-08 00:00:00 582 440
628 2023-06-09 00:00:00 603 443
629 2023-06-10 00:00:00 652 493
630 2023-06-11 00:00:00 636 503
631 2023-06-12 00:00:00 510 398
632 2023-06-13 00:00:00 544 400
633 2023-06-14 00:00:00 539 422
634 2023-06-15 00:00:00 535 410
635 2023-06-16 00:00:00 563 431
636 2023-06-17 00:00:00 644 485
637 2023-06-18 00:00:00 664 515
638 2023-06-19 00:00:00 617 442
639 2023-06-20 00:00:00 529 419
640 2023-06-21 00:00:00 521 395
641 2023-06-22 00:00:00 525 407
642 2023-06-23 00:00:00 525 399
643 2023-06-24 00:00:00 561 454
644 2023-06-25 00:00:00 579 461
645 2023-06-26 00:00:00 497 385
646 2023-06-27 00:00:00 504 387
647 2023-06-28 00:00:00 457 367
648 2023-06-29 00:00:00 530 395
649 2023-06-30 00:00:00 719 395

37
data/potioncraft/steamdb-price.csv Normal file
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@ -0,0 +1,37 @@
"DateTime","Final price","Flags"
"2021-09-21 16:50:11",11.24,
"2021-09-28 17:10:58",12.49,
"2021-11-24 18:14:28",9.99,
"2021-12-01 18:20:54",12.49,
"2021-12-22 18:05:21",9.99,
"2022-01-05 18:58:26",12.49,
"2022-01-27 18:24:25",9.99,
"2022-02-03 18:24:37",12.49,
"2022-02-21 18:22:56",9.36,
"2022-02-23 18:02:17",12.49,
"2022-03-28 17:23:12",9.99,
"2022-04-04 17:23:09",12.49,
"2022-06-23 17:27:24",8.74,
"2022-06-23 17:30:52",8.74,
"2022-07-07 17:24:53",12.49,
"2022-08-04 17:02:33",8.74,
"2022-08-11 17:02:42",12.49,
"2022-11-22 18:11:50",9.99,
"2022-11-29 18:24:32",12.49,
"2022-12-13 17:00:07",,
"2022-12-13 17:05:02",9.99,
"2022-12-20 18:02:28",12.49,
"2022-12-22 18:25:22",9.99,
"2023-01-05 18:25:05",12.49,
"2023-01-20 18:02:24",9.99,
"2023-01-27 18:22:30",12.49,
"2023-03-03 18:02:32",9.99,
"2023-03-10 18:02:25",12.49,
"2023-03-16 17:24:25",8.11,
"2023-03-23 17:24:32",12.49,
"2023-04-13 17:15:04",8.74,
"2023-04-20 17:02:34",12.49,
"2023-05-26 17:02:54",8.11,
"2023-06-02 17:02:36",12.49,
"2023-06-29 17:30:34",8.11,
"2023-06-30 13:54:10",8.11,
1 DateTime Final price Flags
2 2021-09-21 16:50:11 11.24
3 2021-09-28 17:10:58 12.49
4 2021-11-24 18:14:28 9.99
5 2021-12-01 18:20:54 12.49
6 2021-12-22 18:05:21 9.99
7 2022-01-05 18:58:26 12.49
8 2022-01-27 18:24:25 9.99
9 2022-02-03 18:24:37 12.49
10 2022-02-21 18:22:56 9.36
11 2022-02-23 18:02:17 12.49
12 2022-03-28 17:23:12 9.99
13 2022-04-04 17:23:09 12.49
14 2022-06-23 17:27:24 8.74
15 2022-06-23 17:30:52 8.74
16 2022-07-07 17:24:53 12.49
17 2022-08-04 17:02:33 8.74
18 2022-08-11 17:02:42 12.49
19 2022-11-22 18:11:50 9.99
20 2022-11-29 18:24:32 12.49
21 2022-12-13 17:00:07
22 2022-12-13 17:05:02 9.99
23 2022-12-20 18:02:28 12.49
24 2022-12-22 18:25:22 9.99
25 2023-01-05 18:25:05 12.49
26 2023-01-20 18:02:24 9.99
27 2023-01-27 18:22:30 12.49
28 2023-03-03 18:02:32 9.99
29 2023-03-10 18:02:25 12.49
30 2023-03-16 17:24:25 8.11
31 2023-03-23 17:24:32 12.49
32 2023-04-13 17:15:04 8.74
33 2023-04-20 17:02:34 12.49
34 2023-05-26 17:02:54 8.11
35 2023-06-02 17:02:36 12.49
36 2023-06-29 17:30:34 8.11
37 2023-06-30 13:54:10 8.11

237
data/untitledgoosegame/gtrends-worldwide.csv Normal file
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@ -0,0 +1,237 @@
Categoria: Tutte le categorie
Mese,Untitled Goose Game: (Tutto il mondo)
2004-01,0
2004-02,0
2004-03,0
2004-04,0
2004-05,0
2004-06,1
2004-07,0
2004-08,1
2004-09,0
2004-10,0
2004-11,2
2004-12,0
2005-01,0
2005-02,0
2005-03,0
2005-04,1
2005-05,0
2005-06,2
2005-07,0
2005-08,0
2005-09,1
2005-10,0
2005-11,0
2005-12,0
2006-01,0
2006-02,1
2006-03,1
2006-04,0
2006-05,0
2006-06,0
2006-07,< 1
2006-08,0
2006-09,0
2006-10,0
2006-11,< 1
2006-12,0
2007-01,< 1
2007-02,< 1
2007-03,0
2007-04,0
2007-05,0
2007-06,0
2007-07,< 1
2007-08,0
2007-09,0
2007-10,< 1
2007-11,0
2007-12,< 1
2008-01,< 1
2008-02,< 1
2008-03,0
2008-04,0
2008-05,0
2008-06,< 1
2008-07,1
2008-08,1
2008-09,< 1
2008-10,0
2008-11,< 1
2008-12,0
2009-01,< 1
2009-02,< 1
2009-03,< 1
2009-04,0
2009-05,0
2009-06,< 1
2009-07,< 1
2009-08,< 1
2009-09,0
2009-10,< 1
2009-11,0
2009-12,< 1
2010-01,< 1
2010-02,< 1
2010-03,0
2010-04,0
2010-05,< 1
2010-06,< 1
2010-07,< 1
2010-08,< 1
2010-09,< 1
2010-10,< 1
2010-11,0
2010-12,< 1
2011-01,0
2011-02,< 1
2011-03,< 1
2011-04,0
2011-05,< 1
2011-06,< 1
2011-07,0
2011-08,0
2011-09,0
2011-10,< 1
2011-11,0
2011-12,< 1
2012-01,< 1
2012-02,< 1
2012-03,< 1
2012-04,< 1
2012-05,0
2012-06,< 1
2012-07,0
2012-08,0
2012-09,< 1
2012-10,< 1
2012-11,< 1
2012-12,< 1
2013-01,< 1
2013-02,< 1
2013-03,0
2013-04,< 1
2013-05,< 1
2013-06,0
2013-07,< 1
2013-08,< 1
2013-09,< 1
2013-10,< 1
2013-11,< 1
2013-12,< 1
2014-01,< 1
2014-02,< 1
2014-03,< 1
2014-04,< 1
2014-05,< 1
2014-06,< 1
2014-07,< 1
2014-08,< 1
2014-09,< 1
2014-10,< 1
2014-11,< 1
2014-12,< 1
2015-01,< 1
2015-02,< 1
2015-03,< 1
2015-04,< 1
2015-05,< 1
2015-06,< 1
2015-07,< 1
2015-08,< 1
2015-09,< 1
2015-10,0
2015-11,< 1
2015-12,< 1
2016-01,< 1
2016-02,< 1
2016-03,< 1
2016-04,< 1
2016-05,< 1
2016-06,< 1
2016-07,< 1
2016-08,< 1
2016-09,< 1
2016-10,< 1
2016-11,< 1
2016-12,< 1
2017-01,< 1
2017-02,< 1
2017-03,< 1
2017-04,< 1
2017-05,< 1
2017-06,< 1
2017-07,< 1
2017-08,< 1
2017-09,< 1
2017-10,3
2017-11,1
2017-12,< 1
2018-01,< 1
2018-02,< 1
2018-03,< 1
2018-04,< 1
2018-05,< 1
2018-06,< 1
2018-07,1
2018-08,1
2018-09,1
2018-10,1
2018-11,1
2018-12,1
2019-01,1
2019-02,1
2019-03,1
2019-04,1
2019-05,1
2019-06,1
2019-07,< 1
2019-08,2
2019-09,74
2019-10,100
2019-11,28
2019-12,43
2020-01,29
2020-02,30
2020-03,22
2020-04,18
2020-05,17
2020-06,14
2020-07,13
2020-08,16
2020-09,19
2020-10,17
2020-11,14
2020-12,17
2021-01,13
2021-02,9
2021-03,10
2021-04,8
2021-05,7
2021-06,8
2021-07,8
2021-08,7
2021-09,6
2021-10,6
2021-11,7
2021-12,9
2022-01,12
2022-02,9
2022-03,8
2022-04,8
2022-05,8
2022-06,7
2022-07,8
2022-08,8
2022-09,6
2022-10,6
2022-11,7
2022-12,12
2023-01,10
2023-02,9
2023-03,10
2023-04,13
2023-05,8
2023-06,9
1 Categoria: Tutte le categorie
2 Mese,Untitled Goose Game: (Tutto il mondo)
3 2004-01,0
4 2004-02,0
5 2004-03,0
6 2004-04,0
7 2004-05,0
8 2004-06,1
9 2004-07,0
10 2004-08,1
11 2004-09,0
12 2004-10,0
13 2004-11,2
14 2004-12,0
15 2005-01,0
16 2005-02,0
17 2005-03,0
18 2005-04,1
19 2005-05,0
20 2005-06,2
21 2005-07,0
22 2005-08,0
23 2005-09,1
24 2005-10,0
25 2005-11,0
26 2005-12,0
27 2006-01,0
28 2006-02,1
29 2006-03,1
30 2006-04,0
31 2006-05,0
32 2006-06,0
33 2006-07,< 1
34 2006-08,0
35 2006-09,0
36 2006-10,0
37 2006-11,< 1
38 2006-12,0
39 2007-01,< 1
40 2007-02,< 1
41 2007-03,0
42 2007-04,0
43 2007-05,0
44 2007-06,0
45 2007-07,< 1
46 2007-08,0
47 2007-09,0
48 2007-10,< 1
49 2007-11,0
50 2007-12,< 1
51 2008-01,< 1
52 2008-02,< 1
53 2008-03,0
54 2008-04,0
55 2008-05,0
56 2008-06,< 1
57 2008-07,1
58 2008-08,1
59 2008-09,< 1
60 2008-10,0
61 2008-11,< 1
62 2008-12,0
63 2009-01,< 1
64 2009-02,< 1
65 2009-03,< 1
66 2009-04,0
67 2009-05,0
68 2009-06,< 1
69 2009-07,< 1
70 2009-08,< 1
71 2009-09,0
72 2009-10,< 1
73 2009-11,0
74 2009-12,< 1
75 2010-01,< 1
76 2010-02,< 1
77 2010-03,0
78 2010-04,0
79 2010-05,< 1
80 2010-06,< 1
81 2010-07,< 1
82 2010-08,< 1
83 2010-09,< 1
84 2010-10,< 1
85 2010-11,0
86 2010-12,< 1
87 2011-01,0
88 2011-02,< 1
89 2011-03,< 1
90 2011-04,0
91 2011-05,< 1
92 2011-06,< 1
93 2011-07,0
94 2011-08,0
95 2011-09,0
96 2011-10,< 1
97 2011-11,0
98 2011-12,< 1
99 2012-01,< 1
100 2012-02,< 1
101 2012-03,< 1
102 2012-04,< 1
103 2012-05,0
104 2012-06,< 1
105 2012-07,0
106 2012-08,0
107 2012-09,< 1
108 2012-10,< 1
109 2012-11,< 1
110 2012-12,< 1
111 2013-01,< 1
112 2013-02,< 1
113 2013-03,0
114 2013-04,< 1
115 2013-05,< 1
116 2013-06,0
117 2013-07,< 1
118 2013-08,< 1
119 2013-09,< 1
120 2013-10,< 1
121 2013-11,< 1
122 2013-12,< 1
123 2014-01,< 1
124 2014-02,< 1
125 2014-03,< 1
126 2014-04,< 1
127 2014-05,< 1
128 2014-06,< 1
129 2014-07,< 1
130 2014-08,< 1
131 2014-09,< 1
132 2014-10,< 1
133 2014-11,< 1
134 2014-12,< 1
135 2015-01,< 1
136 2015-02,< 1
137 2015-03,< 1
138 2015-04,< 1
139 2015-05,< 1
140 2015-06,< 1
141 2015-07,< 1
142 2015-08,< 1
143 2015-09,< 1
144 2015-10,0
145 2015-11,< 1
146 2015-12,< 1
147 2016-01,< 1
148 2016-02,< 1
149 2016-03,< 1
150 2016-04,< 1
151 2016-05,< 1
152 2016-06,< 1
153 2016-07,< 1
154 2016-08,< 1
155 2016-09,< 1
156 2016-10,< 1
157 2016-11,< 1
158 2016-12,< 1
159 2017-01,< 1
160 2017-02,< 1
161 2017-03,< 1
162 2017-04,< 1
163 2017-05,< 1
164 2017-06,< 1
165 2017-07,< 1
166 2017-08,< 1
167 2017-09,< 1
168 2017-10,3
169 2017-11,1
170 2017-12,< 1
171 2018-01,< 1
172 2018-02,< 1
173 2018-03,< 1
174 2018-04,< 1
175 2018-05,< 1
176 2018-06,< 1
177 2018-07,1
178 2018-08,1
179 2018-09,1
180 2018-10,1
181 2018-11,1
182 2018-12,1
183 2019-01,1
184 2019-02,1
185 2019-03,1
186 2019-04,1
187 2019-05,1
188 2019-06,1
189 2019-07,< 1
190 2019-08,2
191 2019-09,74
192 2019-10,100
193 2019-11,28
194 2019-12,43
195 2020-01,29
196 2020-02,30
197 2020-03,22
198 2020-04,18
199 2020-05,17
200 2020-06,14
201 2020-07,13
202 2020-08,16
203 2020-09,19
204 2020-10,17
205 2020-11,14
206 2020-12,17
207 2021-01,13
208 2021-02,9
209 2021-03,10
210 2021-04,8
211 2021-05,7
212 2021-06,8
213 2021-07,8
214 2021-08,7
215 2021-09,6
216 2021-10,6
217 2021-11,7
218 2021-12,9
219 2022-01,12
220 2022-02,9
221 2022-03,8
222 2022-04,8
223 2022-05,8
224 2022-06,7
225 2022-07,8
226 2022-08,8
227 2022-09,6
228 2022-10,6
229 2022-11,7
230 2022-12,12
231 2023-01,10
232 2023-02,9
233 2023-03,10
234 2023-04,13
235 2023-05,8
236 2023-06,9

33
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837470

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"DateTime","Final price","Flags"
"2020-09-23 17:00:07",12.59,
"2020-09-23 17:50:07",0,
"2020-09-23 17:55:07",12.59,
"2020-10-07 17:03:15",16.79,
"2020-11-24 18:00:09",12.59,
"2020-12-01 19:05:58",16.79,
"2020-12-22 18:13:38",12.59,
"2021-01-05 18:56:26",16.79,
"2021-02-11 18:08:45",10.07,
"2021-02-15 19:03:22",16.79,
"2021-03-25 17:07:19",10.07,
"2021-03-29 17:46:00",16.79,
"2021-06-24 17:35:58",8.39,
"2021-07-08 17:56:23",16.79,
"2021-07-28 17:09:42",8.39,
"2021-08-02 17:24:31",16.79,
"2021-09-30 17:16:46",8.39,
"2021-10-07 17:10:38",16.79,
"2021-11-24 18:09:08",8.39,
"2021-12-01 18:21:37",16.79,
"2021-12-22 18:03:59",8.39,
"2022-01-05 18:10:03",16.79,
"2022-01-27 18:23:18",8.39,
"2022-02-03 18:23:20",16.79,
"2022-02-28 18:22:32",8.39,
"2022-03-08 07:02:05",16.79,
"2022-04-07 07:05:04",8.39,
"2022-04-11 17:02:22",16.79,
"2022-06-18 17:01:58",16.79,
"2022-06-23 17:24:54",8.39,
"2022-06-23 17:27:26",8.39,
"2022-07-07 17:23:35",16.79,
"2022-09-29 17:05:05",8.39,
"2022-10-06 17:02:16",16.79,
"2022-11-22 18:17:16",8.39,
"2022-11-29 18:27:49",16.79,
"2022-12-22 18:17:02",8.39,
"2023-01-05 18:28:58",16.79,
"2023-02-13 18:22:23",8.39,
"2023-02-19 18:02:02",16.79,
"2023-03-16 17:31:57",8.39,
"2023-03-23 17:23:20",16.79,
"2023-06-21 17:02:01",8.39,
"2023-06-29 13:57:14",8.39,
1 DateTime Final price Flags
2 2020-09-23 17:00:07 12.59
3 2020-09-23 17:50:07 0
4 2020-09-23 17:55:07 12.59
5 2020-10-07 17:03:15 16.79
6 2020-11-24 18:00:09 12.59
7 2020-12-01 19:05:58 16.79
8 2020-12-22 18:13:38 12.59
9 2021-01-05 18:56:26 16.79
10 2021-02-11 18:08:45 10.07
11 2021-02-15 19:03:22 16.79
12 2021-03-25 17:07:19 10.07
13 2021-03-29 17:46:00 16.79
14 2021-06-24 17:35:58 8.39
15 2021-07-08 17:56:23 16.79
16 2021-07-28 17:09:42 8.39
17 2021-08-02 17:24:31 16.79
18 2021-09-30 17:16:46 8.39
19 2021-10-07 17:10:38 16.79
20 2021-11-24 18:09:08 8.39
21 2021-12-01 18:21:37 16.79
22 2021-12-22 18:03:59 8.39
23 2022-01-05 18:10:03 16.79
24 2022-01-27 18:23:18 8.39
25 2022-02-03 18:23:20 16.79
26 2022-02-28 18:22:32 8.39
27 2022-03-08 07:02:05 16.79
28 2022-04-07 07:05:04 8.39
29 2022-04-11 17:02:22 16.79
30 2022-06-18 17:01:58 16.79
31 2022-06-23 17:24:54 8.39
32 2022-06-23 17:27:26 8.39
33 2022-07-07 17:23:35 16.79
34 2022-09-29 17:05:05 8.39
35 2022-10-06 17:02:16 16.79
36 2022-11-22 18:17:16 8.39
37 2022-11-29 18:27:49 16.79
38 2022-12-22 18:17:02 8.39
39 2023-01-05 18:28:58 16.79
40 2023-02-13 18:22:23 8.39
41 2023-02-19 18:02:02 16.79
42 2023-03-16 17:31:57 8.39
43 2023-03-23 17:23:20 16.79
44 2023-06-21 17:02:01 8.39
45 2023-06-29 13:57:14 8.39

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poetry.lock generated Normal file
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pyproject.toml Normal file
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[tool.poetry]
name = "unimore_bda_3"
version = "0.1.0"
description = ""
authors = ["Stefano Pigozzi <me@steffo.eu>"]
readme = "README.md"
[tool.poetry.dependencies]
python = "^3.10"
numpy = "^1.23.5"
scipy = "^1.9.3"
pandas = "^1.5.2"
matplotlib = "^3.6.2"
sortedcontainers = "^2.4.0"
httpx = "^0.24.1"
seaborn = "^0.12.2"
jupyter = "^1.0.0"
[tool.poetry.group.dev.dependencies]
sphinx = "^5.3.0"
sphinx-rtd-theme = "^1.1.1"
sphinx-autobuild = "^2021.3.14"
rinohtype = "^0.5.4"
pillow = "^9.3.0"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

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unimore-bda-3.iml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager" inherit-compiler-output="true">
<exclude-output />
<content url="file://$MODULE_DIR$">
<sourceFolder url="file://$MODULE_DIR$/data" type="java-resource" />
<sourceFolder url="file://$MODULE_DIR$/docs/source" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/unimore_bda_3" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/media" type="java-resource" />
<excludeFolder url="file://$MODULE_DIR$/docs/build" />
<excludeFolder url="file://$MODULE_DIR$/.venv" />
</content>
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
<component name="TemplatesService">
<option name="TEMPLATE_FOLDERS">
<list>
<option value="$MODULE_DIR$/docs/source/_templates" />
</list>
</option>
</component>
</module>

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unimore_bda_3/__init__.py Normal file
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unimore_bda_3/loaders/__init__.py Normal file
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from . import gtrends
from . import itad
from . import steam
from . import steamdb
__all__ = (
"gtrends",
"itad",
"steam",
"steamdb",
)

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unimore_bda_3/loaders/gtrends.py Normal file
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from unimore_bda_3.prelude import *
def load(fd: t.IO[str], query_name: str) -> pd.DataFrame:
"""
Import a Google Trends CSV file into a :class:`pandas.DataFrame`.
"""
dataframe = pd.read_csv(fd, sep=",", header=1)
dataframe.rename(inplace=True, columns={
"Mese": "Date",
f"{query_name}: (Tutto il mondo)": "Google Trends · Score",
})
dataframe["Date"] = pd.to_datetime(dataframe["Date"])
dataframe["Google Trends · Score"] = dataframe["Google Trends · Score"].map(lambda x: int(x) if x != "< 1" else 0) / 100
dataframe.set_index("Date", inplace=True)
return dataframe

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unimore_bda_3/loaders/itad.py Normal file
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from unimore_bda_3.prelude import *
import re
import json
PRICE_REGEX = re.compile(r"""Charts[.]Builder[(]setup, (.+?)[)]""")
"""
A regex to extract price JSON data from a price graph ``<script>`` object.
"""
def _load_price_series(src: dict) -> pd.Series:
"""
Load the contents of a IsThereAnyDeal price graph series into a `pandas.Series`.
"""
index = [pd.Timestamp(item[0], unit="ms", tz="utc") for item in src["data"]]
data = [item[1] for item in src["data"]]
series = pd.Series(
data=data,
index=index,
name=f"""ITAD · {src["name"]}"""
)
if "Worst" in series.name or "High" in series.name:
series = series.groupby(series.index.date).max()
else:
series = series.groupby(series.index.date).min()
return series
def _load_price_dataframe(match: str) -> pd.DataFrame:
"""
Load the contents of a IsThereAnyDeal price graph ``Charts.Builder`` into a `pandas.DataFrame`.
"""
srcs: list = json.loads(match)
dataframe = pd.DataFrame(
data=[_load_price_series(src) for src in srcs]
).T
dataframe.index = pd.to_datetime(dataframe.index)
return dataframe
def load(fd: t.IO[str]) -> list[pd.DataFrame]:
"""
Load the contents of a IsThereAnyDeal price graph ``<script>`` object into a `list` of `pandas.DataFrame`\\ s.
"""
data = fd.read()
matches: list[str] = PRICE_REGEX.findall(data)
return [_load_price_dataframe(match) for match in matches]
__all__ = (
"load",
)

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unimore_bda_3/loaders/steam.py Normal file
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from unimore_bda_3.prelude import *
import httpx
import collections
steam_api = httpx.Client(base_url="https://api.steampowered.com")
def _load_news(appid: int) -> list[dict]:
"""
Load all news items for the given app id, from the most recent to the least recent.
"""
count = 100
enddate = {}
newsitems = []
while count == 100:
request = steam_api.get(
"/ISteamNews/GetNewsForApp/v0002/",
params={
"appid": appid,
"count": 100,
"format": "json",
**enddate,
}
)
request.raise_for_status()
data = request.json()["appnews"]
count = len(data["newsitems"])
newsitems.extend(data["newsitems"])
enddate = {"enddate": newsitems[-1]["date"]}
return newsitems
def _categorize_news(news: list[dict]) -> dict[str, list[dict]]:
"""
Group news items by their tags.
"""
result = collections.defaultdict(list)
for item in news:
tags = item.get("tags", [])
if tags:
for tag in set(item.get("tags", [])):
result[tag].append(item)
else:
result["no_tags"].append(item)
return result
def _serialize_news(name: str, news: list[dict]) -> pd.Series:
"""
Convert a list of news into a `pandas.Series` with the dates as index and 1 as the data.
"""
index = pd.to_datetime([datetime.fromtimestamp(item["date"]) for item in news])
return pd.Series(
data=[1 for _ in index],
index=index,
name=f"""Steam · Count of News tagged {name}""",
dtype=np.uint8,
)
def fetch(appid: int) -> pd.DataFrame:
"""
Load announcements related to a certain app id into a `pandas.DataFrame`.
"""
raw_news = _load_news(appid=appid)
categorized_news = _categorize_news(news=raw_news)
serialized_news = [_serialize_news(name=name, news=news).to_frame() for name, news in categorized_news.items()]
dataframe = utils.join_frames(*serialized_news).fillna(0)
dataframe = dataframe.groupby(dataframe.index.date).sum()
dataframe.index = pd.to_datetime(dataframe.index)
return dataframe
def load(fd: t.IO[str]) -> pd.DataFrame:
"""
Load announcements related to the app id contained in the given file into a `pandas.DataFrame`.
"""
appid = int(fd.read().strip())
data = fetch(appid=appid)
return data
__all__ = (
"fetch",
"load",
)

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unimore_bda_3/loaders/steamdb.py Normal file
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from unimore_bda_3.prelude import *
def load_players(fd: t.IO[str]) -> pd.DataFrame:
"""
Import a SteamDB "Lifetime player count history" CSV file into a `pandas.DataFrame`.
"""
dataframe = pd.read_csv(fd, sep=",")
dataframe.rename(inplace=True, columns={
"DateTime": "Date",
"Players": "SteamDB · Peak concurrent players",
"Average Players": "SteamDB · Day average of concurrent players",
"Flags": "SteamDB · Player count flags",
})
dataframe["Date"] = pd.to_datetime(dataframe["Date"])
dataframe.set_index("Date", inplace=True)
dataframe = dataframe.groupby(dataframe.index.date).max()
dataframe.index = pd.to_datetime(dataframe.index)
return dataframe
def load_price(fd: t.IO[str]) -> pd.DataFrame:
"""
Import a SteamDB "Price history" CSV file into a `pandas.DataFrame`.
"""
dataframe = pd.read_csv(fd, sep=",")
dataframe.rename(inplace=True, columns={
"DateTime": "Date",
"Final price": "SteamDB · Steam",
"Flags": "SteamDB · Price flags",
})
dataframe["Date"] = pd.to_datetime(dataframe["Date"])
dataframe.set_index("Date", inplace=True)
dataframe = dataframe.groupby(dataframe.index.date).min()
dataframe.index = pd.to_datetime(dataframe.index)
return dataframe

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unimore_bda_3/post.py Normal file
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from unimore_bda_3.prelude import *
def add_scores(dataframe: pd.DataFrame):
for base in [1.01, 1.02, 1.03, 1.04, 1.05, 1.06, 1.07, 1.08, 1.09, 1.1, 1.11, 1.12, 1.13, 1.14, 1.15]:
score = pd.Series(dtype=float)
prev_date = None
for date, value in dataframe["Cumulative · Is something happening?"].items():
if not prev_date:
score[date] = 0
elif value:
score[date] = 1
else:
score[date] = score[prev_date] / base
prev_date = date
dataframe[f"Cumulative · General happening score with base {base}"] = score
dataframe[f"Cumulative · Scaled general happening score with base {base}"] = dataframe[f"Cumulative · General happening score with base {base}"] * dataframe["Google Trends · Score"]
return dataframe
__all__ = (
"add_scores",
)

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unimore_bda_3/prelude.py Normal file
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"""
This package is to be imported in all other packages with a wildcard import::
from unimore_bda_3.prelude import *
"""
import typing as t
import matplotlib as mpl
import matplotlib.ticker as tick
import matplotlib.pyplot as plt
import matplotlib.dates as mpld
import matplotlib.container as mplc
import numpy as np
import scipy as sp
import pandas as pd
import sortedcontainers as sc
import seaborn as sb
import seaborn.objects as so
from pathlib import Path
from datetime import datetime
from . import utils
__all__ = (
"t",
"tick",
"mpl",
"plt",
"mplc",
"mpld",
"np",
"sp",
"pd",
"sc",
"sb",
"so",
"Path",
"datetime",
"utils",
)

60
unimore_bda_3/processing.py Normal file
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from unimore_bda_3.prelude import *
import unimore_bda_3.loaders as loaders
def process_game(name: str, path: Path) -> pd.DataFrame:
steam_appid_path = path.joinpath("steam_appid.txt")
gtrends_worldwide_path = path.joinpath("gtrends-worldwide.csv")
steamdb_players_path = path.joinpath("steamdb-players.csv")
steamdb_price_path = path.joinpath("steamdb-price.csv")
itad_price_path = path.joinpath("itad-price.js")
with open(steam_appid_path) as fd:
steam_news: pd.DataFrame = loaders.steam.load(fd=fd)
with open(gtrends_worldwide_path) as fd:
google_trends: pd.DataFrame = loaders.gtrends.load(fd=fd, query_name=name)
with open(steamdb_players_path) as fd:
steamdb_players: pd.DataFrame = loaders.steamdb.load_players(fd=fd)
with open(steamdb_price_path) as fd:
steamdb_price: pd.DataFrame = loaders.steamdb.load_price(fd=fd)
with open(itad_price_path) as fd:
itad_prices: list[pd.DataFrame] = loaders.itad.load(fd=fd)
dataframe: pd.DataFrame = utils.join_frames(steamdb_players, steamdb_price, google_trends, steam_news, *itad_prices)
dataframe["SteamDB · Steam"].fillna(method="ffill", inplace=True)
dataframe["Google Trends · Score"].fillna(method="ffill", inplace=True)
dataframe["ITAD · Best Price"].fillna(method="ffill", inplace=True)
dataframe["ITAD · Best Regular Price"].fillna(method="ffill", inplace=True)
dataframe["ITAD · Worst Regular Price"].fillna(method="ffill", inplace=True)
dataframe["ITAD · Historical Low"].fillna(method="ffill", inplace=True)
news_columns = list(filter(lambda c: c.startswith("Steam · Count of News tagged"), dataframe.columns))
for news_col_name in news_columns:
dataframe[news_col_name].fillna(0, inplace=True)
dataframe["Steam · Is there News?"] = pd.Series(data=False, dtype=bool)
dataframe["Steam · Is there News?"] = (dataframe[news_columns] > 0).any(axis="columns")
dataframe["SteamDB · Relative concurrent players"] = dataframe["SteamDB · Peak concurrent players"] / dataframe["SteamDB · Peak concurrent players"].max()
dataframe["SteamDB · Relative Steam price"] = dataframe["SteamDB · Steam"] / dataframe["SteamDB · Steam"].max()
dataframe["ITAD · Relative Best Price"] = dataframe["ITAD · Best Price"] / dataframe["ITAD · Best Price"].max()
dataframe["ITAD · Best price change from previous day"] = dataframe["ITAD · Best Price"].diff()
dataframe["SteamDB · Steam price change from previous day"] = - dataframe["SteamDB · Steam"].diff()
dataframe["SteamDB · Is there a discount?"] = dataframe["SteamDB · Steam price change from previous day"] < 0
dataframe["ITAD · Is there a discount?"] = dataframe["ITAD · Best price change from previous day"] < 0
dataframe["Cumulative · Is something happening on Steam?"] = dataframe["Steam · Is there News?"] + dataframe["SteamDB · Is there a discount?"]
dataframe["Cumulative · Is something happening?"] = dataframe["Steam · Is there News?"] + dataframe["SteamDB · Is there a discount?"] + dataframe["ITAD · Is there a discount?"]
return dataframe
__all__ = (
"process_game",
)

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unimore_bda_3/utils.py Normal file
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import pandas as pd
def merge_dicts(*dicts: dict) -> dict:
"""
Merge all :class:`dict`s passed as arguments into a single one.
:param dicts: The :class:`dict`s to merge.
:return: The merged :class:`dict`s.
"""
result = dict()
for d in dicts:
result |= d
return result
def join_frames(*dfs: pd.DataFrame, **kwargs) -> pd.DataFrame:
"""
Join multiple :class:`pandas.DataFrame`s in a single expression.
:param dfs: The :class:`pandas.DataFrame`s to join.
:param kwargs: Keyword arguments to pass to :meth:`pandas.DataFrame.join`.
:return: The resulting :class:`pandas.DataFrame`.
"""
if len(dfs) == 0:
return pd.DataFrame()
elif len(dfs) == 1:
return dfs[0]
else:
return dfs[0].join(dfs[1:], **kwargs)
__all__ = (
"merge_dicts",
)