TMKOC_Episodes_Analysis.ipynb

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        "# Analysis of No. Of Episodes per Story in TMKOC\n",
        "\n",
        "## Sources / Inspiration \n",
        "\n",
        "- https://www.youtube.com/watch?v=Rkq6yHZtw0k\n",
        "- https://en.wikipedia.org/wiki/Taarak_Mehta_Ka_Ooltah_Chashmah\n",
        "\n",
        "## Why \n",
        "\n",
        "- I felt tmkoc show is becomming less interesting over time so i thought to do a analysis over it\n",
        "- To Prove The lack of new stories in the show in past years \n",
        "- Just out of Curiosity & Just Because"
      ],
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      "source": [
        "# Imports\n",
        "import requests\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "from bs4 import BeautifulSoup\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Wiki Page\n",
        "wiki_url = \"https://en.wikipedia.org/wiki/Taarak_Mehta_Ka_Ooltah_Chashmah\"\n",
        "\n",
        "# Use requests to retrieve data from a given URL\n",
        "wiki_response = requests.get(wiki_url)\n",
        "\n",
        "# Parse the whole HTML page using BeautifulSoup\n",
        "wiki_soup = BeautifulSoup(wiki_response.text, 'html.parser')\n",
        "\n",
        "# Title of the parsed page\n",
        "wiki_soup.title.string"
      ],
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            "text/plain": [
              "'Taarak Mehta Ka Ooltah Chashmah - Wikipedia'"
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      "source": [
        "# Extracting Content\n",
        "stories = wiki_soup.findAll(\"tr\",{'class':'vevent'})\n",
        "story_names = [a.td.text for a in stories]\n",
        "story_ranges = [a.th.text for a in stories]\n",
        "len(story_ranges),len(story_names)"
      ],
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              "(221, 221)"
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      "source": [
        "# Formatting into dataframe\n",
        "story_ranges_list_string  = [ a.split(\"–\") for a in story_ranges]\n",
        "story_ranges_nums = [ list(range(int(a[0]),int(a[1]))) if len(a) ==2 else [int(a[0])] for a in story_ranges_list_string]\n",
        "story_ranges_start = [a[0] for a in story_ranges_nums]\n",
        "story_ranges_end = [a[-1] for a in story_ranges_nums]\n",
        "story_ranges_lens = [len(a) for a in story_ranges_nums]\n",
        "widths = [a/10 for a in story_ranges_lens]\n",
        "d = {\"name\": story_names,\"width\":\"widths\", \"range\":story_ranges,\"start\":story_ranges_start,\"end\":story_ranges_end,\"length\":story_ranges_lens}\n",
        "\n",
        "df = pd.DataFrame(data=d)\n",
        "df"
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              "                               name   width      range  start   end  length\n",
              "0                    \"Introduction\"  widths          1      1     1       1\n",
              "1                \"Mischievous Tapu\"  widths        2–5      2     4       3\n",
              "2            \"Champaklal's Arrival\"  widths        6–7      6     6       1\n",
              "3                     \"Heavy Rains\"  widths        8–9      8     8       1\n",
              "4              \"Champaklal's Phone\"  widths      10–11     10    10       1\n",
              "..                              ...     ...        ...    ...   ...     ...\n",
              "216       \"Tapu and Sonu as Couple\"  widths       3368   3368  3368       1\n",
              "217               \"The Second Deal\"  widths  3369–3373   3369  3372       4\n",
              "218                  \"Party Sharty\"  widths  3373–3384   3373  3383      11\n",
              "219             \"Popatlal vs Bhide\"  widths  3385–3387   3385  3386       2\n",
              "220  \"Pompom the cat in Golkuhdham\"  widths  3388–3410   3388  3409      22\n",
              "\n",
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              "      <td>\"Introduction\"</td>\n",
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              "      <td>widths</td>\n",
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              "      <td>3385</td>\n",
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              "      <td>3409</td>\n",
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        "# Plotting Bar Graph\n",
        "import plotly.express as px\n",
        "fig = px.line(df, x='start', y='length' ,title=\"Taarak Mehta Story vs No. of Episodes\"\n",
        ",hover_data= [\"name\",\"range\"],labels={\"start\":\"Story Start Episode No.\",\"length\":\"No. Episodes in Story\",\"name\":\"Name\"},markers=True)\n",
        "fig.show()"
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      "source": [
        "# By this Analysis we can conclude\n",
        "- New Stories were more frequent in in the start \n",
        "- The show is becomming lengthy over time starting from episode 1600's to 3000's \n",
        "- The frequency of sotries is again increasing \n",
        "\n",
        "also the stories with most no of episodes are most of times lengthy and just boring\n"
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