Upload analysis.ipynb

analysis.ipynb

@@ -0,0 +1,78 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "336bac24",
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [
+    {
+     "ename": "FileNotFoundError",
+     "evalue": "[Errno 2] No such file or directory: 'user_actions.json'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[1], line 9\u001b[0m\n\u001b[0;32m      6\u001b[0m log_file_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124muser_actions.json\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m      8\u001b[0m \u001b[38;5;66;03m# Verileri JSON dosyasından yükle\u001b[39;00m\n\u001b[1;32m----> 9\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(log_file_path, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m     10\u001b[0m     logs \u001b[38;5;241m=\u001b[39m [json\u001b[38;5;241m.\u001b[39mloads(line\u001b[38;5;241m.\u001b[39mstrip()\u001b[38;5;241m.\u001b[39mreplace(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m)) \u001b[38;5;28;01mfor\u001b[39;00m line \u001b[38;5;129;01min\u001b[39;00m f]\n\u001b[0;32m     12\u001b[0m \u001b[38;5;66;03m# DataFrame oluştur\u001b[39;00m\n",
+      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\IPython\\core\\interactiveshell.py:310\u001b[0m, in \u001b[0;36m_modified_open\u001b[1;34m(file, *args, **kwargs)\u001b[0m\n\u001b[0;32m    303\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[0;32m    304\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m    305\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    306\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    307\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    308\u001b[0m     )\n\u001b[1;32m--> 310\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m io_open(file, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
+      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'user_actions.json'"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import json\n",
+    "import os\n",
+    "\n",
+    "# JSON dosyasının yolu\n",
+    "log_file_path = 'user_actions.json'\n",
+    "\n",
+    "# Verileri JSON dosyasından yükle\n",
+    "with open(log_file_path, 'r') as f:\n",
+    "    logs = [json.loads(line.strip().replace(\"'\", '\"')) for line in f]\n",
+    "\n",
+    "# DataFrame oluştur\n",
+    "df = pd.DataFrame(logs)\n",
+    "\n",
+    "# Temel analizler\n",
+    "print(\"Toplam eylem sayısı:\", len(df))\n",
+    "print(\"Eylem türleri dağılımı:\\n\", df['actionType'].value_counts())\n",
+    "\n",
+    "# Belirli bir türdeki eylemleri filtreleme\n",
+    "click_actions = df[df['actionType'] == 'click']\n",
+    "print(\"Click eylemleri:\\n\", click_actions)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f32baebc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}