Lab_2_Dane

IUM2.ipynb

@@ -0,0 +1,186 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d8abefd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install kaggle\n",
+    "!pip install pandas\n",
+    "!pip install seaborn\n",
+    "!pip install opendatasets --upgrade\n",
+    "import opendatasets as od\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5911d036",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cd ~/.kaggle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8d07bb31",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!kaggle datasets download -d shree1992/housedata"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9c04f525",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!unzip -o housedata.zip"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b407a064",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!wc -l data.csv\n",
+    "data = pd.read_csv('data.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "17d29b04",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5fa21ef9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!head -n -1 data.csv | shuf > data.csv.shuf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "baa9b34e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!head -n 460 data.csv.shuf > data.csv.test\n",
+    "!head -n 920 data.csv.shuf | tail -n 460 > data.csv.dev\n",
+    "!tail -n +920 data.csv.shuf > data.csv.train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "30b520c0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!rm data.csv.shuf\n",
+    "!wc -l data.csv*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b7652c69",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_test = pd.read_csv('data.csv.test')\n",
+    "data_dev = pd.read_csv('data.csv.dev')\n",
+    "data_train = pd.read_csv('data.csv.train')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c4670def",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b18d32a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_train.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6b8d6568",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_dev.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dd366750",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_test.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2801c205",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "grep -P \"^$\" -n data.csv"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}