{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ezplot Tutorial\n",
    "Welcome to the Plot-Hero package documentation! This package provides an easy-to-use function, plot_histogram, for creating beautiful visualizations of your data. Here, we’ll walk through the functionality with a fun, real-life example starring Alex, a budding data scientist on a quest to uncover insights in marketing data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Alex's Data Visualization Quest\n",
    "Alex, an intern at a marketing firm, was tasked with analyzing campaign data to understand what works and what doesn’t. However, Alex knew that numbers alone weren’t enough—they needed visualizations to make their insights shine. That’s where Plot-Hero came to the rescue with the mighty plot_histogram function!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 1: Setup\n",
    "Alex began their journey by loading the marketing dataset, which contained details about campaign types, success rates, and even the channels used to target specific audiences."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.1.0\n"
     ]
    }
   ],
   "source": [
    "import dsci_524_ezplot\n",
    "\n",
    "print(dsci_524_ezplot.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from dsci_524_ezplot.plot_histogram import plot_histogram\n",
    "from dsci_524_ezplot.plot_line import plot_line\n",
    "from dsci_524_ezplot.plot_scatterplot import plot_scatterplot\n",
    "from dsci_524_ezplot.plot_heatmap import plot_heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_8a7bf table {\n",
       "  overflow-x: auto;\n",
       "  display: block;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_8a7bf\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_8a7bf_level0_col0\" class=\"col_heading level0 col0\" >Campaign_ID</th>\n",
       "      <th id=\"T_8a7bf_level0_col1\" class=\"col_heading level0 col1\" >Company</th>\n",
       "      <th id=\"T_8a7bf_level0_col2\" class=\"col_heading level0 col2\" >Campaign_Type</th>\n",
       "      <th id=\"T_8a7bf_level0_col3\" class=\"col_heading level0 col3\" >Target_Audience</th>\n",
       "      <th id=\"T_8a7bf_level0_col4\" class=\"col_heading level0 col4\" >Duration</th>\n",
       "      <th id=\"T_8a7bf_level0_col5\" class=\"col_heading level0 col5\" >Channel_Used</th>\n",
       "      <th id=\"T_8a7bf_level0_col6\" class=\"col_heading level0 col6\" >Conversion_Rate</th>\n",
       "      <th id=\"T_8a7bf_level0_col7\" class=\"col_heading level0 col7\" >Acquisition_Cost</th>\n",
       "      <th id=\"T_8a7bf_level0_col8\" class=\"col_heading level0 col8\" >ROI</th>\n",
       "      <th id=\"T_8a7bf_level0_col9\" class=\"col_heading level0 col9\" >Location</th>\n",
       "      <th id=\"T_8a7bf_level0_col10\" class=\"col_heading level0 col10\" >Language</th>\n",
       "      <th id=\"T_8a7bf_level0_col11\" class=\"col_heading level0 col11\" >Clicks</th>\n",
       "      <th id=\"T_8a7bf_level0_col12\" class=\"col_heading level0 col12\" >Impressions</th>\n",
       "      <th id=\"T_8a7bf_level0_col13\" class=\"col_heading level0 col13\" >Engagement_Score</th>\n",
       "      <th id=\"T_8a7bf_level0_col14\" class=\"col_heading level0 col14\" >Customer_Segment</th>\n",
       "      <th id=\"T_8a7bf_level0_col15\" class=\"col_heading level0 col15\" >Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_8a7bf_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_8a7bf_row0_col0\" class=\"data row0 col0\" >1</td>\n",
       "      <td id=\"T_8a7bf_row0_col1\" class=\"data row0 col1\" >Innovate Industries</td>\n",
       "      <td id=\"T_8a7bf_row0_col2\" class=\"data row0 col2\" >Email</td>\n",
       "      <td id=\"T_8a7bf_row0_col3\" class=\"data row0 col3\" >Men 18-24</td>\n",
       "      <td id=\"T_8a7bf_row0_col4\" class=\"data row0 col4\" >30 days</td>\n",
       "      <td id=\"T_8a7bf_row0_col5\" class=\"data row0 col5\" >Google Ads</td>\n",
       "      <td id=\"T_8a7bf_row0_col6\" class=\"data row0 col6\" >0.040000</td>\n",
       "      <td id=\"T_8a7bf_row0_col7\" class=\"data row0 col7\" >$16,174.00</td>\n",
       "      <td id=\"T_8a7bf_row0_col8\" class=\"data row0 col8\" >6.290000</td>\n",
       "      <td id=\"T_8a7bf_row0_col9\" class=\"data row0 col9\" >Chicago</td>\n",
       "      <td id=\"T_8a7bf_row0_col10\" class=\"data row0 col10\" >Spanish</td>\n",
       "      <td id=\"T_8a7bf_row0_col11\" class=\"data row0 col11\" >506</td>\n",
       "      <td id=\"T_8a7bf_row0_col12\" class=\"data row0 col12\" >1922</td>\n",
       "      <td id=\"T_8a7bf_row0_col13\" class=\"data row0 col13\" >6</td>\n",
       "      <td id=\"T_8a7bf_row0_col14\" class=\"data row0 col14\" >Health & Wellness</td>\n",
       "      <td id=\"T_8a7bf_row0_col15\" class=\"data row0 col15\" >2021-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8a7bf_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_8a7bf_row1_col0\" class=\"data row1 col0\" >2</td>\n",
       "      <td id=\"T_8a7bf_row1_col1\" class=\"data row1 col1\" >NexGen Systems</td>\n",
       "      <td id=\"T_8a7bf_row1_col2\" class=\"data row1 col2\" >Email</td>\n",
       "      <td id=\"T_8a7bf_row1_col3\" class=\"data row1 col3\" >Women 35-44</td>\n",
       "      <td id=\"T_8a7bf_row1_col4\" class=\"data row1 col4\" >60 days</td>\n",
       "      <td id=\"T_8a7bf_row1_col5\" class=\"data row1 col5\" >Google Ads</td>\n",
       "      <td id=\"T_8a7bf_row1_col6\" class=\"data row1 col6\" >0.120000</td>\n",
       "      <td id=\"T_8a7bf_row1_col7\" class=\"data row1 col7\" >$11,566.00</td>\n",
       "      <td id=\"T_8a7bf_row1_col8\" class=\"data row1 col8\" >5.610000</td>\n",
       "      <td id=\"T_8a7bf_row1_col9\" class=\"data row1 col9\" >New York</td>\n",
       "      <td id=\"T_8a7bf_row1_col10\" class=\"data row1 col10\" >German</td>\n",
       "      <td id=\"T_8a7bf_row1_col11\" class=\"data row1 col11\" >116</td>\n",
       "      <td id=\"T_8a7bf_row1_col12\" class=\"data row1 col12\" >7523</td>\n",
       "      <td id=\"T_8a7bf_row1_col13\" class=\"data row1 col13\" >7</td>\n",
       "      <td id=\"T_8a7bf_row1_col14\" class=\"data row1 col14\" >Fashionistas</td>\n",
       "      <td id=\"T_8a7bf_row1_col15\" class=\"data row1 col15\" >2021-01-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8a7bf_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_8a7bf_row2_col0\" class=\"data row2 col0\" >3</td>\n",
       "      <td id=\"T_8a7bf_row2_col1\" class=\"data row2 col1\" >Alpha Innovations</td>\n",
       "      <td id=\"T_8a7bf_row2_col2\" class=\"data row2 col2\" >Influencer</td>\n",
       "      <td id=\"T_8a7bf_row2_col3\" class=\"data row2 col3\" >Men 25-34</td>\n",
       "      <td id=\"T_8a7bf_row2_col4\" class=\"data row2 col4\" >30 days</td>\n",
       "      <td id=\"T_8a7bf_row2_col5\" class=\"data row2 col5\" >YouTube</td>\n",
       "      <td id=\"T_8a7bf_row2_col6\" class=\"data row2 col6\" >0.070000</td>\n",
       "      <td id=\"T_8a7bf_row2_col7\" class=\"data row2 col7\" >$10,200.00</td>\n",
       "      <td id=\"T_8a7bf_row2_col8\" class=\"data row2 col8\" >7.180000</td>\n",
       "      <td id=\"T_8a7bf_row2_col9\" class=\"data row2 col9\" >Los Angeles</td>\n",
       "      <td id=\"T_8a7bf_row2_col10\" class=\"data row2 col10\" >French</td>\n",
       "      <td id=\"T_8a7bf_row2_col11\" class=\"data row2 col11\" >584</td>\n",
       "      <td id=\"T_8a7bf_row2_col12\" class=\"data row2 col12\" >7698</td>\n",
       "      <td id=\"T_8a7bf_row2_col13\" class=\"data row2 col13\" >1</td>\n",
       "      <td id=\"T_8a7bf_row2_col14\" class=\"data row2 col14\" >Outdoor Adventurers</td>\n",
       "      <td id=\"T_8a7bf_row2_col15\" class=\"data row2 col15\" >2021-01-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8a7bf_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_8a7bf_row3_col0\" class=\"data row3 col0\" >4</td>\n",
       "      <td id=\"T_8a7bf_row3_col1\" class=\"data row3 col1\" >DataTech Solutions</td>\n",
       "      <td id=\"T_8a7bf_row3_col2\" class=\"data row3 col2\" >Display</td>\n",
       "      <td id=\"T_8a7bf_row3_col3\" class=\"data row3 col3\" >All Ages</td>\n",
       "      <td id=\"T_8a7bf_row3_col4\" class=\"data row3 col4\" >60 days</td>\n",
       "      <td id=\"T_8a7bf_row3_col5\" class=\"data row3 col5\" >YouTube</td>\n",
       "      <td id=\"T_8a7bf_row3_col6\" class=\"data row3 col6\" >0.110000</td>\n",
       "      <td id=\"T_8a7bf_row3_col7\" class=\"data row3 col7\" >$12,724.00</td>\n",
       "      <td id=\"T_8a7bf_row3_col8\" class=\"data row3 col8\" >5.550000</td>\n",
       "      <td id=\"T_8a7bf_row3_col9\" class=\"data row3 col9\" >Miami</td>\n",
       "      <td id=\"T_8a7bf_row3_col10\" class=\"data row3 col10\" >Mandarin</td>\n",
       "      <td id=\"T_8a7bf_row3_col11\" class=\"data row3 col11\" >217</td>\n",
       "      <td id=\"T_8a7bf_row3_col12\" class=\"data row3 col12\" >1820</td>\n",
       "      <td id=\"T_8a7bf_row3_col13\" class=\"data row3 col13\" >7</td>\n",
       "      <td id=\"T_8a7bf_row3_col14\" class=\"data row3 col14\" >Health & Wellness</td>\n",
       "      <td id=\"T_8a7bf_row3_col15\" class=\"data row3 col15\" >2021-01-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8a7bf_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_8a7bf_row4_col0\" class=\"data row4 col0\" >5</td>\n",
       "      <td id=\"T_8a7bf_row4_col1\" class=\"data row4 col1\" >NexGen Systems</td>\n",
       "      <td id=\"T_8a7bf_row4_col2\" class=\"data row4 col2\" >Email</td>\n",
       "      <td id=\"T_8a7bf_row4_col3\" class=\"data row4 col3\" >Men 25-34</td>\n",
       "      <td id=\"T_8a7bf_row4_col4\" class=\"data row4 col4\" >15 days</td>\n",
       "      <td id=\"T_8a7bf_row4_col5\" class=\"data row4 col5\" >YouTube</td>\n",
       "      <td id=\"T_8a7bf_row4_col6\" class=\"data row4 col6\" >0.050000</td>\n",
       "      <td id=\"T_8a7bf_row4_col7\" class=\"data row4 col7\" >$16,452.00</td>\n",
       "      <td id=\"T_8a7bf_row4_col8\" class=\"data row4 col8\" >6.500000</td>\n",
       "      <td id=\"T_8a7bf_row4_col9\" class=\"data row4 col9\" >Los Angeles</td>\n",
       "      <td id=\"T_8a7bf_row4_col10\" class=\"data row4 col10\" >Mandarin</td>\n",
       "      <td id=\"T_8a7bf_row4_col11\" class=\"data row4 col11\" >379</td>\n",
       "      <td id=\"T_8a7bf_row4_col12\" class=\"data row4 col12\" >4201</td>\n",
       "      <td id=\"T_8a7bf_row4_col13\" class=\"data row4 col13\" >3</td>\n",
       "      <td id=\"T_8a7bf_row4_col14\" class=\"data row4 col14\" >Health & Wellness</td>\n",
       "      <td id=\"T_8a7bf_row4_col15\" class=\"data row4 col15\" >2021-01-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7269e89862d0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"marketing_campaign_dataset.csv\")\n",
    "data.head().style.set_table_styles(\n",
    "    [{\"selector\": \"table\", \"props\": [(\"overflow-x\", \"auto\"), (\"display\", \"block\")]}]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 2: Plotting a Histogram for a Numerical Column\n",
    "Alex's first task was to understand the distribution of Conversion_Rate to show the distribution of conversion rates across campaigns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plot_histogram (\n",
    "    df=data,\n",
    "    column=\"Conversion_Rate\",\n",
    "    bins=15,\n",
    "    title=\"Distribution of Conversion Rates\",\n",
    "    xlabel=\"Conversion Rate\",\n",
    "    ylabel=\"Frequency\",\n",
    "    color=\"blue\"\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plot highlights the conversion rates of campaigns in bins. Alex can now point out patterns, such as campaigns never achieves conversion rates above 0.16 and anything above 0.08 is better than average."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 3: Plotting a Bar Plot for a Categorical Column\n",
    "Next, Alex turned their attention to the Channel_Used column to see which platforms marketers favored. Since this column was categorical, Alex used plot_histogram to create a bar plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plot_histogram(\n",
    "    df=data,\n",
    "    column=\"Channel_Used\",\n",
    "    title=\"Distribution of Marketing Channels\",\n",
    "    xlabel=\"Marketing Channel\",\n",
    "    ylabel=\"Count\",\n",
    "    color=\"orange\"\n",
    ")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plot clearly shows the distribution of marketing channels, with each bar representing the count of campaigns run on different platforms. It's evident that platforms like YouTube, Google Ads, and others are used equally often in the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 4: Tracking Campaign Performance Over Time\n",
    "Alex wanted to analyze how campaign performance changed over time. The plot_line function was perfect for visualizing this temporal trend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_performance = data.groupby('Date')['Conversion_Rate'].mean().reset_index()\n",
    "daily_performance['Date'] = pd.to_datetime(daily_performance['Date'])\n",
    "daily_performance['Date_Numeric'] = (daily_performance['Date'] - pd.Timestamp('1970-01-01')).dt.days\n",
    "\n",
    "fig, ax = plot_line(\n",
    "    df=daily_performance,\n",
    "    x=\"Date_Numeric\",\n",
    "    y=\"Conversion_Rate\",\n",
    "    title=\"Daily Campaign Performance Trend\",\n",
    "    xlabel=\"Date\",\n",
    "    ylabel=\"Average Conversion Rate\"\n",
    ")\n",
    "\n",
    "n_ticks = 5\n",
    "step = len(daily_performance) // (n_ticks - 1)\n",
    "tick_indices = range(0, len(daily_performance), step)\n",
    "tick_positions = [daily_performance['Date_Numeric'].iloc[i] for i in tick_indices]\n",
    "tick_labels = [daily_performance['Date'].iloc[i].strftime('%Y-%m-%d') for i in tick_indices]\n",
    "\n",
    "ax.set_xticks(tick_positions)\n",
    "ax.set_xticklabels(tick_labels)\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alex noticed several interesting patterns in the campaign performance throughout 2021. The daily conversion rates showed consistent fluctuations between 7.6% and 8.4%, suggesting that while there was variability in campaign performance, it maintained a relatively stable range.\n",
    "\n",
    "Alex was particularly intrigued by several notable features in the data:\n",
    "- The highest peaks reached approximately 8.4% conversion rate, occurring multiple times throughout the year\n",
    "- A significant dip appeared in early July, where the conversion rate dropped to about 7.4%\n",
    "- Most campaigns maintained an average conversion rate around 8%\n",
    "\n",
    "This visualization helped Alex identify both successful periods and areas for improvement. The consistent oscillation pattern suggested that external factors, such as seasonality or market conditions, might be influencing campaign performance. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 5: Create a Scatterplot to Compare the Conversion Rate to ROI for each Channel\n",
    "Next, to gain a better understanding of how each marketing channel performed, Alex decided to create a scatter plot comparing the Conversion Rate to ROI for each channel. Alex knew that this visualization could help identify patterns or outliers that weren’t immediately obvious looking at the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aggregated_data = data.groupby('Channel_Used')[['Conversion_Rate', 'ROI']].mean().reset_index()\n",
    "\n",
    "fig, ax = plot_scatterplot(df = aggregated_data, x = \"Conversion_Rate\" , y = \"ROI\", color = \"Channel_Used\", title=\"Scatterplot\", xlabel=\"Conversion Rate\", ylabel=\"ROI\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the campaign data now aggregated by Channel_Used, Alex could clearly compare the Conversion Rate and ROI for each channel. The aggregation helped simplify the data, giving Alex a clearer picture of how each marketing channel performed on average. From this visual, Alex could now confidently present the performance of each marketing channel. Google Ads seemed like a strong contender for future campaigns. By visualizing these two metrics together, Alex could now provide insights on where the marketing team should focus efforts to improve efficiency and returns. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 6: Uncovering Relationships with a Heatmap\n",
    "Having explored conversion rates, campaign performance trends, and ROI using bar plots, line plots, and scatterplots, Alex wanted to dive deeper. This time, Alex aimed to identify relationships between multiple variables in the dataset—such as how Conversion Rate, ROI, and Engagement Score might influence each other. To do this, Alex turned to heatmaps, a powerful visualization tool for showing correlations.\n",
    "\n",
    "Using Plot-Hero’s plot_heatmap function, Alex started by computing a correlation matrix for the numeric variables:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "correlation_matrix = data[[\"Conversion_Rate\", \"ROI\", \"Clicks\", \"Engagement_Score\"]].corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the correlation matrix ready, Alex generated a heatmap to visualize the relationships:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plot_heatmap(\n",
    "    df=correlation_matrix,\n",
    "    title=\"Correlation Heatmap with Annotations\",\n",
    "    xlabel=\"Metrics\",\n",
    "    ylabel=\"Metrics\",\n",
    "    cmap=\"coolwarm\",\n",
    ")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The resulting heatmap showed the correlations between the metrics. Alex noticed the following key insights:\n",
    "\n",
    "- The diagonal cells, marked in bright yellow, represent perfect correlations of each metric with itself (as expected).\n",
    "- There were no exceptionally strong correlations between the different metrics (off-diagonal values were not close to 1.0 or -1.0).\n",
    "- This indicated that each metric provided distinct information about the campaigns, which was valuable for a multi-faceted analysis.\n",
    "\n",
    "With this knowledge, Alex could confidently present the team's findings and suggest focusing on independent optimizations for each metric."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wrapping It All Up\n",
    "With ezplot, Alex transformed complex data into actionable insights through clear, professional visuals. From histograms and line plots to scatterplots and heatmaps, ezplot made data visualization fast and effective.\n",
    "\n",
    "Alex recommends ezplot for:\n",
    "- Data professionals seeking quick, polished visualizations.\n",
    "- Students and analysts focusing on insights, not coding complexities.\n",
    "\n",
    "“ezplot simplified my workflow and let me focus on the story behind the data. It’s a must-have tool for anyone working with data!”\n",
    "\n",
    "Now it’s your turn to explore the power of ezplot. Happy visualizing! 🚀"
   ]
  }
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