{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Собираем статистику\n",
    "\n",
    "Сколько в среднем в месяц публикуется записей."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "with open(\"data/vk_group_reach.stat\") as csvfile:\n",
    "    stat = csv.reader(csvfile)\n",
    "    for row in stat:\n",
    "        print(row)        \n",
    "        break    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "with open(\"data/vk_group_reach.stat\") as csvfile:\n",
    "    stat = csv.reader(csvfile)\n",
    "    for row in stat:               \n",
    "        for i, item in enumerate(row):\n",
    "            print(i, item)\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "note = list()\n",
    "\n",
    "with open(\"data/vk_group_reach.stat\") as csvfile:\n",
    "    stat = csv.reader(csvfile)\n",
    "    for row in stat:\n",
    "        if row[0] == 'Дата':\n",
    "            continue\n",
    "        else:            \n",
    "            print(row)     \n",
    "            break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "note = list()\n",
    "\n",
    "with open(\"data/vk_group_reach.stat\") as csvfile:\n",
    "    stat = csv.reader(csvfile)\n",
    "    for row in stat:\n",
    "        if row[0] == 'Дата':\n",
    "            continue\n",
    "        else:            \n",
    "            #print(row[0].split('-')[1])  \n",
    "            note.append(row[0].split('-')[1])\n",
    "print(note)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import collections\n",
    "\n",
    "count = collections.Counter(note)\n",
    "dict(count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "list(dict(count).keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(list(dict(count).keys()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "list(dict(count).values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in list(dict(count).values()):\n",
    "    print(i/len(list(dict(count).keys())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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