ium_434695/Zadanie1.ipynb at mlflow

!wget -c https://git.wmi.amu.edu.pl/s434695/ium_434695/raw/commit/2301fb86e434734376f73503307a8f3255a75cc6/vgsales.csv

/bin/sh: 1: wget: not found

!pip install --user pandas
!pip install --user scikit-learn
!pip install --user matplotlib
!pip install --user seaborn

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Installing collected packages: seaborn
Successfully installed seaborn-0.11.1

import pandas as pd
vgsales = pd.read_csv('vgsales.csv')
vgsales

	Rank	Name	Platform	Year	Genre	Publisher	NA_Sales	EU_Sales	JP_Sales	Other_Sales	Global_Sales
0	1	Wii Sports	Wii	2006.0	Sports	Nintendo	41.49	29.02	3.77	8.46	82.74
1	2	Super Mario Bros.	NES	1985.0	Platform	Nintendo	29.08	3.58	6.81	0.77	40.24
2	3	Mario Kart Wii	Wii	2008.0	Racing	Nintendo	15.85	12.88	3.79	3.31	35.82
3	4	Wii Sports Resort	Wii	2009.0	Sports	Nintendo	15.75	11.01	3.28	2.96	33.00
4	5	Pokemon Red/Pokemon Blue	GB	1996.0	Role-Playing	Nintendo	11.27	8.89	10.22	1.00	31.37
...	...	...	...	...	...	...	...	...	...	...	...
16593	16596	Woody Woodpecker in Crazy Castle 5	GBA	2002.0	Platform	Kemco	0.01	0.00	0.00	0.00	0.01
16594	16597	Men in Black II: Alien Escape	GC	2003.0	Shooter	Infogrames	0.01	0.00	0.00	0.00	0.01
16595	16598	SCORE International Baja 1000: The Official Game	PS2	2008.0	Racing	Activision	0.00	0.00	0.00	0.00	0.01
16596	16599	Know How 2	DS	2010.0	Puzzle	7G//AMES	0.00	0.01	0.00	0.00	0.01
16597	16600	Spirits & Spells	GBA	2003.0	Platform	Wanadoo	0.01	0.00	0.00	0.00	0.01

16598 rows × 11 columns

vgsales.describe(include='all')

	Rank	Name	Platform	Year	Genre	Publisher	NA_Sales	EU_Sales	JP_Sales	Other_Sales	Global_Sales
count	16598.000000	16598	16598	16327.000000	16598	16540	16598.000000	16598.000000	16598.000000	16598.000000	16598.000000
unique	NaN	11493	31	NaN	12	578	NaN	NaN	NaN	NaN	NaN
top	NaN	Need for Speed: Most Wanted	DS	NaN	Action	Electronic Arts	NaN	NaN	NaN	NaN	NaN
freq	NaN	12	2163	NaN	3316	1351	NaN	NaN	NaN	NaN	NaN
mean	8300.605254	NaN	NaN	2006.406443	NaN	NaN	0.264667	0.146652	0.077782	0.048063	0.537441
std	4791.853933	NaN	NaN	5.828981	NaN	NaN	0.816683	0.505351	0.309291	0.188588	1.555028
min	1.000000	NaN	NaN	1980.000000	NaN	NaN	0.000000	0.000000	0.000000	0.000000	0.010000
25%	4151.250000	NaN	NaN	2003.000000	NaN	NaN	0.000000	0.000000	0.000000	0.000000	0.060000
50%	8300.500000	NaN	NaN	2007.000000	NaN	NaN	0.080000	0.020000	0.000000	0.010000	0.170000
75%	12449.750000	NaN	NaN	2010.000000	NaN	NaN	0.240000	0.110000	0.040000	0.040000	0.470000
max	16600.000000	NaN	NaN	2020.000000	NaN	NaN	41.490000	29.020000	10.220000	10.570000	82.740000

vgsales["Publisher"].value_counts()

Electronic Arts                 1351
Activision                       975
Namco Bandai Games               932
Ubisoft                          921
Konami Digital Entertainment     832
                                ... 
Phantagram                         1
989 Sports                         1
Illusion Softworks                 1
TYO                                1
General Entertainment              1
Name: Publisher, Length: 578, dtype: int64

vgsales["Platform"].value_counts()

DS      2163
PS2     2161
PS3     1329
Wii     1325
X360    1265
PSP     1213
PS      1196
PC       960
XB       824
GBA      822
GC       556
3DS      509
PSV      413
PS4      336
N64      319
SNES     239
XOne     213
SAT      173
WiiU     143
2600     133
NES       98
GB        98
DC        52
GEN       27
NG        12
SCD        6
WS         6
3DO        3
TG16       2
GG         1
PCFX       1
Name: Platform, dtype: int64

vgsales["Platform"].value_counts().plot(kind="bar")

<AxesSubplot:>

vgsales[["Platform","JP_Sales"]].groupby("Platform").mean().plot(kind="bar")

<AxesSubplot:xlabel='Platform'>

import seaborn as sns
sns.set_theme()
sns.relplot(data=vgsales, x="JP_Sales", y="NA_Sales", hue="Genre")

<seaborn.axisgrid.FacetGrid at 0x7f432bf95e80>

from sklearn.model_selection import train_test_split
vgsales_train, vgsales_test = train_test_split(vgsales, test_size = 0.6, random_state = 1)
vgsales_train["Platform"].value_counts()

PS2     873
DS      829
Wii     530
X360    507
PSP     503
PS3     488
PS      471
PC      396
XB      339
GBA     337
GC      237
3DS     205
PSV     166
PS4     143
N64     126
XOne     95
SNES     95
SAT      65
WiiU     55
2600     49
NES      43
GB       38
DC       25
GEN      10
NG        8
3DO       2
WS        2
GG        1
SCD       1
Name: Platform, dtype: int64

vgsales_test["Platform"].value_counts()

DS      1334
PS2     1288
PS3      841
Wii      795
X360     758
PS       725
PSP      710
PC       564
XB       485
GBA      485
GC       319
3DS      304
PSV      247
PS4      193
N64      193
SNES     144
XOne     118
SAT      108
WiiU      88
2600      84
GB        60
NES       55
DC        27
GEN       17
SCD        5
NG         4
WS         4
TG16       2
3DO        1
PCFX       1
Name: Platform, dtype: int64

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