Data_Science/Google Search Analysis with python/Google_Search_Analysis_with_python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d8574373-f5a8-4937-ba31-48e85456fe6c",
   "metadata": {},
   "source": [
    "<div style=\"border-radius:10px; padding: 15px; background-color: #7e2266 ; font-size:130%; text-align:left\">\n",
    "\n",
    "<h2 align=\"left\"><font color=#ffffff>Google Search Analysis with Python :</font></h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "71efd84f-09e1-40ee-89e5-ca70777702dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5c0c8b3d-8261-4664-8492-2babfe72aea3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pytrends.request import TrendReq\n",
    "import matplotlib.pyplot as plt\n",
    "trends = TrendReq()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c321ca34-ae03-4277-9685-a5b13ba23a6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8ad8ec3b-8a96-4dc3-b72f-adb86016bece",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Top 10 regions for 'Data Analysis':\n",
      "             Data Analysis\n",
      "geoName                   \n",
      "Ethiopia               100\n",
      "Malawi                  93\n",
      "Zimbabwe                80\n",
      "Kenya                   63\n",
      "Philippines             62\n",
      "Nigeria                 55\n",
      "Tanzania                47\n",
      "China                   42\n",
      "Zambia                  40\n",
      "Uganda                  39\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import time\n",
    "import pandas as pd\n",
    "from pytrends.request import TrendReq\n",
    "from pytrends.exceptions import TooManyRequestsError\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "\n",
    "# Function to fetch Google Trends data with retry mechanism\n",
    "def fetch_trends_data(keyword, retries=3, delay=120):  # Increased delay to 120 seconds\n",
    "    trends = TrendReq(hl='en-US', tz=360)\n",
    "    \n",
    "    # Retry mechanism for handling rate limits\n",
    "    for attempt in range(retries):\n",
    "        try:\n",
    "            # Build payload for keyword\n",
    "            trends.build_payload(kw_list=[keyword])\n",
    "            \n",
    "            # Get data by region\n",
    "            data = trends.interest_by_region()\n",
    "            data = data.sort_values(by=keyword, ascending=False)\n",
    "            return data.head(10)\n",
    "        \n",
    "        except TooManyRequestsError:\n",
    "            print(f\"Too many requests. Waiting for {delay} seconds before retrying...\")\n",
    "            time.sleep(delay)  # Wait before retrying\n",
    "        except Exception as e:\n",
    "            print(f\"An error occurred: {e}\")\n",
    "            return None\n",
    "    \n",
    "    print(f\"Failed to fetch data after {retries} retries.\")\n",
    "    return None\n",
    "\n",
    "# Function to print the results and plot the bar chart\n",
    "def print_trends(keyword):\n",
    "    data = fetch_trends_data(keyword)\n",
    "    if data is not None:\n",
    "        print(data)\n",
    "        plot_trends_bar_chart(data, keyword)\n",
    "    else:\n",
    "        print(f\"No data available for {keyword}\")\n",
    "\n",
    "# Function to plot a bar chart of regions with colormap\n",
    "def plot_trends_bar_chart(data, keyword):\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    \n",
    "    # Generate colors from plasma colormap\n",
    "    colors = cm.plasma(data[keyword] / data[keyword].max())  # Normalize the values\n",
    "    data[keyword].plot(kind='bar', color=colors)\n",
    "    \n",
    "    plt.title(f\"Top 10 regions for '{keyword}'\", fontsize=16)\n",
    "    plt.xlabel(\"Region\", fontsize=12)\n",
    "    plt.ylabel(\"Interest Level\", fontsize=12)\n",
    "    plt.xticks(rotation=45, ha=\"right\")\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "# Fetch trends for 'Data Analysis'\n",
    "print(\"\\nTop 10 regions for 'Data Analysis':\")\n",
    "print_trends(\"Data Analysis\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "896e8ede-8f0d-4aa6-a9e5-ecc68fa7cf23",
   "metadata": {},
   "source": [
    "### Interest over time data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2b99ccfa-f7ef-4252-81d4-496aac8de39f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Interest Over Time for 'Data Analysis':\n",
      "Interest Over Time for 'Data Analysis':\n",
      "\n",
      "            Data Analysis\n",
      "date                     \n",
      "2019-10-06             53\n",
      "2019-10-13             57\n",
      "2019-10-20             53\n",
      "2019-10-27             54\n",
      "2019-11-03             57\n",
      "...                   ...\n",
      "2024-09-08             87\n",
      "2024-09-15             89\n",
      "2024-09-22             86\n",
      "2024-09-29             84\n",
      "2024-10-06             88\n",
      "\n",
      "[262 rows x 1 columns]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Function to fetch Google Trends interest over time data\n",
    "def fetch_interest_over_time(keyword, retries=3, delay=120):\n",
    "    trends = TrendReq(hl='en-US', tz=360)\n",
    "    \n",
    "    # Retry mechanism for handling rate limits\n",
    "    for attempt in range(retries):\n",
    "        try:\n",
    "            # Build payload for keyword\n",
    "            trends.build_payload(kw_list=[keyword])\n",
    "            \n",
    "            # Get interest over time data\n",
    "            data = trends.interest_over_time()\n",
    "            \n",
    "            # Check if data is returned\n",
    "            if not data.empty:\n",
    "                return data\n",
    "            else:\n",
    "                print(f\"No data available for {keyword}\")\n",
    "                return None\n",
    "        \n",
    "        except TooManyRequestsError:\n",
    "            print(f\"Too many requests. Waiting for {delay} seconds before retrying...\")\n",
    "            time.sleep(delay)  # Wait before retrying\n",
    "        except Exception as e:\n",
    "            print(f\"An error occurred: {e}\")\n",
    "            return None\n",
    "    \n",
    "    print(f\"Failed to fetch data after {retries} retries.\")\n",
    "    return None\n",
    "\n",
    "# Function to print and plot interest over time\n",
    "def plot_interest_over_time(keyword):\n",
    "    data = fetch_interest_over_time(keyword)\n",
    "    \n",
    "    if data is not None:\n",
    "        # Print the interest over time data\n",
    "        print(f\"Interest Over Time for '{keyword}':\\n\")\n",
    "        print(data[[keyword]])  # Print only the keyword column with dates as index\n",
    "        \n",
    "        # Plot the data\n",
    "        plt.figure(figsize=(10, 6))\n",
    "        plt.plot(data.index, data[keyword], label=keyword, color='b', marker='o')\n",
    "        plt.title(f\"Interest Over Time for '{keyword}'\", fontsize=16)\n",
    "        plt.xlabel('Date', fontsize=12)\n",
    "        plt.ylabel('Interest', fontsize=12)\n",
    "        plt.legend()\n",
    "        plt.grid(True)\n",
    "        plt.xticks(rotation=45)\n",
    "        plt.tight_layout()\n",
    "        plt.show()\n",
    "\n",
    "\n",
    "# Fetch and plot interest over time for 'Data Analysis'\n",
    "print(\"\\nInterest Over Time for 'Data Analysis':\")\n",
    "plot_interest_over_time(\"Data Analysis\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc68e07f-d054-4f08-bf07-b15e5205b16a",
   "metadata": {},
   "source": [
    "### Historical hourly interest data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "37fea537-5367-447c-8e99-354e0612c2e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Hourly Interest Over Time for 'Data Analysis':\n",
      "Hourly Interest Data for 'Data Analysis':\n",
      "                     Data Analysis  isPartial\n",
      "date                                         \n",
      "2024-10-03 15:00:00             74      False\n",
      "2024-10-03 16:00:00             74      False\n",
      "2024-10-03 17:00:00             71      False\n",
      "2024-10-03 18:00:00             67      False\n",
      "2024-10-03 19:00:00             67      False\n",
      "...                            ...        ...\n",
      "2024-10-10 11:00:00             66      False\n",
      "2024-10-10 12:00:00             69      False\n",
      "2024-10-10 13:00:00             76      False\n",
      "2024-10-10 14:00:00             81      False\n",
      "2024-10-10 15:00:00             99       True\n",
      "\n",
      "[169 rows x 2 columns]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Function to fetch historical hourly interest data\n",
    "def fetch_hourly_interest(keyword, retries=3, delay=120):\n",
    "    trends = TrendReq(hl='en-US', tz=360)\n",
    "    \n",
    "    # Retry mechanism for handling rate limits\n",
    "    for attempt in range(retries):\n",
    "        try:\n",
    "            # Build payload for the last 7 days with hourly granularity\n",
    "            trends.build_payload(kw_list=[keyword], timeframe='now 7-d')\n",
    "            \n",
    "            # Get interest over time (this will include hourly data for the past 7 days)\n",
    "            data = trends.interest_over_time()\n",
    "            \n",
    "            # Check if data is returned\n",
    "            if not data.empty:\n",
    "                return data\n",
    "            else:\n",
    "                print(f\"No data available for {keyword}\")\n",
    "                return None\n",
    "        \n",
    "        except TooManyRequestsError:\n",
    "            print(f\"Too many requests. Waiting for {delay} seconds before retrying...\")\n",
    "            time.sleep(delay)  # Wait before retrying\n",
    "        except Exception as e:\n",
    "            print(f\"An error occurred: {e}\")\n",
    "            return None\n",
    "    \n",
    "    print(f\"Failed to fetch data after {retries} retries.\")\n",
    "    return None\n",
    "\n",
    "# Function to print and plot hourly interest\n",
    "def print_and_plot_hourly_interest(keyword):\n",
    "    data = fetch_hourly_interest(keyword)\n",
    "    \n",
    "    if data is not None:\n",
    "        # Print the data\n",
    "        print(f\"Hourly Interest Data for '{keyword}':\")\n",
    "        print(data)\n",
    "        \n",
    "        # Plot the data\n",
    "        plt.figure(figsize=(10, 6))\n",
    "        plt.plot(data.index, data[keyword], label=keyword)\n",
    "        plt.title(f\"Hourly Interest Over Time for '{keyword}'\")\n",
    "        plt.xlabel('Time')\n",
    "        plt.ylabel('Interest')\n",
    "        plt.legend()\n",
    "        plt.grid(True)\n",
    "        plt.xticks(rotation=45)\n",
    "        plt.tight_layout()\n",
    "        plt.show()\n",
    "\n",
    "# Fetch, print, and plot hourly interest for 'Data Analysis'\n",
    "print(\"\\nHourly Interest Over Time for 'Data Analysis':\")\n",
    "print_and_plot_hourly_interest(\"Data Analysis\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9b85647-d374-4ae5-bdfb-37cfb7889b8d",
   "metadata": {},
   "source": [
    "### Trending Searches for India"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7f037ba0-65b5-4efc-ae71-ae6d73223e03",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Trending Searches in India:\n",
      "\n",
      "                                         0\n",
      "0                                  Cricket\n",
      "1                                   Sports\n",
      "2                                Vettaiyan\n",
      "3                         Vettaiyan review\n",
      "4                                      TCS\n",
      "5                              Latest News\n",
      "6                       Durga Ashtami 2024\n",
      "7                  World Mental Health Day\n",
      "8                         Tata Steel share\n",
      "9                    Omar Abdullah Kashmir\n",
      "10  RG Kar senior doctors mass resignation\n",
      "11                           Breaking news\n",
      "12                     India vs Bangladesh\n",
      "13                               IND vs SL\n",
      "14                                Joe Root\n",
      "15    South Africa Women vs Scotland Women\n",
      "16                              Live Score\n",
      "17                     भारत बनाम बांगलादेश\n",
      "18                       Bhool Bhulaiyaa 3\n",
      "19                   Hurricane Milton news\n"
     ]
    }
   ],
   "source": [
    "# Function to fetch trending searches for India\n",
    "def fetch_trending_searches(retries=3, delay=60):\n",
    "    trends = TrendReq(hl='en-US', tz=360)\n",
    "    \n",
    "    # Retry mechanism for handling rate limits\n",
    "    for attempt in range(retries):\n",
    "        try:\n",
    "            # Get trending searches in India\n",
    "            trending_searches = trends.trending_searches(pn='india')\n",
    "            \n",
    "            # Check if data is returned\n",
    "            if not trending_searches.empty:\n",
    "                return trending_searches\n",
    "            else:\n",
    "                print(\"No trending searches available for India.\")\n",
    "                return None\n",
    "        \n",
    "        except TooManyRequestsError:\n",
    "            print(f\"Too many requests. Waiting for {delay} seconds before retrying...\")\n",
    "            time.sleep(delay)  # Wait before retrying\n",
    "        except Exception as e:\n",
    "            print(f\"An error occurred: {e}\")\n",
    "            return None\n",
    "    \n",
    "    print(f\"Failed to fetch data after {retries} retries.\")\n",
    "    return None\n",
    "\n",
    "# Function to print trending searches\n",
    "def print_trending_searches():\n",
    "    data = fetch_trending_searches()\n",
    "    \n",
    "    if data is not None:\n",
    "        print(\"\\nTrending Searches in India:\\n\")\n",
    "        print(data)\n",
    "    else:\n",
    "        print(\"No data available for trending searches in India.\")\n",
    "\n",
    "# Fetch and print trending searches for India\n",
    "print_trending_searches()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5daf246-58de-4b1c-962b-5e88ca681313",
   "metadata": {},
   "source": [
    "### Related Queries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "427172b6-69dc-4029-a647-272c86569f2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No related queries found for 'Data Analysis'\n"
     ]
    }
   ],
   "source": [
    "#Related Queries\n",
    "try:\n",
    "    trends.build_payload(kw_list=['Data Analysis'])\n",
    "    trends = trends.related_queries()\n",
    "    related_queries.values()\n",
    "except (KeyError, IndexError):\n",
    "    print(\"No related queries found for 'Data Analysis'\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b55597f-8586-4c9d-9f13-7f97b9bde39c",
   "metadata": {},
   "source": [
    "### Keyword Suggestions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "58789418-badb-4027-b8e6-7c3b5b0288aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Data analysis</td>\n",
       "      <td>Topic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Exploratory data analysis</td>\n",
       "      <td>Topic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Python for Data Analysis: Data Wrangling with ...</td>\n",
       "      <td>Book by Wes McKinney</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mathematics for Machine Learning</td>\n",
       "      <td>Book by A. Aldo Faisal, Cheng Soon Ong, and Ma...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Krish Naik</td>\n",
       "      <td>YouTuber</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               title  \\\n",
       "0                                      Data analysis   \n",
       "1                          Exploratory data analysis   \n",
       "2  Python for Data Analysis: Data Wrangling with ...   \n",
       "3                   Mathematics for Machine Learning   \n",
       "4                                         Krish Naik   \n",
       "\n",
       "                                                type  \n",
       "0                                              Topic  \n",
       "1                                              Topic  \n",
       "2                               Book by Wes McKinney  \n",
       "3  Book by A. Aldo Faisal, Cheng Soon Ong, and Ma...  \n",
       "4                                           YouTuber  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Keyword Suggestions\n",
    "keywords = trends.suggestions(keyword='Data Analysis')\n",
    "df = pd.DataFrame(keywords)\n",
    "df.drop(columns= 'mid')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d072d45-d8f3-4b86-b2cc-cd8ebf1dc09d",
   "metadata": {},
   "source": [
    "### Scatter plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "259d11f3-aeaa-49f8-b771-06eb2dc59ddb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Function to plot a scatter plot\n",
    "def plot_scatter(data, keyword):\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    plt.scatter(data.index, data[keyword], color='red')\n",
    "    plt.title(f\"Scatter Plot of Interest for '{keyword}'\")\n",
    "    plt.xlabel('Date')\n",
    "    plt.ylabel('Interest')\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.grid(True)\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "keyword=\"Data Analysis\"\n",
    "trends = TrendReq(hl='en-US', tz=360)\n",
    "trends.build_payload(kw_list=[keyword])\n",
    "data = trends.interest_over_time()            \n",
    "plot_scatter(data, keyword)\n",
    "   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e97e7d1a-7bcc-4f6e-a0ac-37e6ee015be4",
   "metadata": {},
   "source": [
    "### Chart for Top 20 region for interest in 'Data Analysis'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "cdb2d110-b61a-4875-99f6-117d5046070b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "branchvalues": "total",
         "customdata": [
          [
           2.436194895591647
          ],
          [
           4.872389791183294
          ],
          [
           11.600928074245939
          ],
          [
           4.408352668213457
          ],
          [
           1.9721577726218096
          ],
          [
           2.320185614849188
          ],
          [
           2.9002320185614847
          ],
          [
           7.308584686774942
          ],
          [
           10.788863109048725
          ],
          [
           2.9002320185614847
          ],
          [
           6.380510440835267
          ],
          [
           2.5522041763341066
          ],
          [
           7.192575406032482
          ],
          [
           2.9002320185614847
          ],
          [
           2.784222737819025
          ],
          [
           2.784222737819025
          ],
          [
           5.452436194895592
          ],
          [
           4.524361948955916
          ],
          [
           4.640371229698376
          ],
          [
           9.280742459396752
          ]
         ],
         "domain": {
          "x": [
           0,
           1
          ],
          "y": [
           0,
           1
          ]
         },
         "hovertemplate": "<b>%{label}</b><br>Interest: %{value}<br>Percentage: %{customdata[0]:.2f}%",
         "ids": [
          "Cameroon",
          "China",
          "Ethiopia",
          "Ghana",
          "Hong Kong",
          "India",
          "Jamaica",
          "Kenya",
          "Malawi",
          "Nepal",
          "Nigeria",
          "Pakistan",
          "Philippines",
          "Singapore",
          "South Africa",
          "Sri Lanka",
          "Tanzania",
          "Uganda",
          "Zambia",
          "Zimbabwe"
         ],
         "labels": [
          "Cameroon",
          "China",
          "Ethiopia",
          "Ghana",
          "Hong Kong",
          "India",
          "Jamaica",
          "Kenya",
          "Malawi",
          "Nepal",
          "Nigeria",
          "Pakistan",
          "Philippines",
          "Singapore",
          "South Africa",
          "Sri Lanka",
          "Tanzania",
          "Uganda",
          "Zambia",
          "Zimbabwe"
         ],
         "name": "",
         "parents": [
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          "",
          ""
         ],
         "type": "sunburst",
         "values": [
          21,
          42,
          100,
          38,
          17,
          20,
          25,
          63,
          93,
          25,
          55,
          22,
          62,
          25,
          24,
          24,
          47,
          39,
          40,
          80
         ]
        }
       ],
       "layout": {
        "autosize": true,
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
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of Interest for 'Data Analysis' by Top 20 Regions\"},\"height\":900},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
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       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
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     "metadata": {},
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   ],
   "source": [
    "# Function to plot a sunburst chart of top regions with percentages\n",
    "def plot_sunburst_chart(data, keyword):\n",
    "    # Select the top 20 regions based on the interest\n",
    "    top_data = data[keyword].nlargest(20).reset_index()\n",
    "\n",
    "    # Calculate the percentage of total interest for each region\n",
    "    total_interest = top_data[keyword].sum()\n",
    "    top_data['percentage'] = (top_data[keyword] / total_interest) * 100\n",
    "\n",
    "    # Create a sunburst chart with percentages in the hover data\n",
    "    fig = px.sunburst(\n",
    "        data_frame=top_data, \n",
    "        path=['geoName'], \n",
    "        values=keyword,\n",
    "        hover_data={'percentage': ':.2f'},\n",
    "        title=f\"Proportion of Interest for '{keyword}' by Top 20 Regions\", \n",
    "        height=900\n",
    "    )\n",
    "    \n",
    "    # Update the hover template to show percentage\n",
    "    fig.update_traces(hovertemplate=\"<b>%{label}</b><br>Interest: %{value}<br>Percentage: %{customdata[0]:.2f}%\")\n",
    "    \n",
    "    fig.show()\n",
    "\n",
    "keyword = \"Data Analysis\"\n",
    "trends = TrendReq(hl='en-US', tz=360)\n",
    "trends.build_payload(kw_list=[keyword])\n",
    "\n",
    "retries = 3\n",
    "for attempt in range(retries):\n",
    "    try:\n",
    "        data = trends.interest_by_region()\n",
    "        plot_sunburst_chart(data, keyword)\n",
    "        break  # Exit the loop if successful\n",
    "    except TooManyRequestsError:\n",
    "        if attempt < retries - 1:\n",
    "            print(\"Too many requests, retrying...\")\n",
    "            time.sleep(120)  # wait for 2 minutes before retrying\n",
    "        else:\n",
    "            print(\"Failed after several attempts.\")"
   ]
  },
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   "cell_type": "markdown",
   "id": "14aec1ab-398d-4d90-a3dc-1e225d0ce9a2",
   "metadata": {},
   "source": [
    "So, We get the following points from the analysis -\n",
    "- Ethiopia is the country with largest intrest for \" Data Analysis \" among the all other countries in the world.\n",
    "- The interest over time for \" Data Analysis \" was high in 2022 and is high again in 2024\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ec5d4d4b-52fd-415f-ad87-be732887a233",
   "metadata": {},
   "outputs": [],
   "source": [
    "# end"
   ]
  }
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