diff --git a/zadanie2.py b/zadanie2.py
new file mode 100755
index 0000000..978499e
--- /dev/null
+++ b/zadanie2.py
@@ -0,0 +1,34 @@
+#! /usr/bin/python3
+
+import requests
+url = 'https://git.wmi.amu.edu.pl/s434695/ium_434695/raw/commit/2301fb86e434734376f73503307a8f3255a75cc6/vgsales.csv'
+r = requests.get(url, allow_redirects=True)
+
+open('vgsales.csv', 'wb').write(r.content)
+
+import pandas as pd
+vgsales = pd.read_csv('vgsales.csv')
+vgsales
+
+vgsales.describe(include='all')
+
+vgsales["Publisher"].value_counts()
+
+vgsales["Platform"].value_counts()
+
+vgsales["Platform"].value_counts().plot(kind="bar")
+
+vgsales[["Platform","JP_Sales"]].groupby("Platform").mean().plot(kind="bar")
+
+import seaborn as sns
+sns.set_theme()
+sns.relplot(data=vgsales, x="JP_Sales", y="NA_Sales", hue="Genre")
+
+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()
+
+vgsales_test["Platform"].value_counts()
+
+print(vgsales_train["Platform"])
+