Imagine you are a media researcher tasked with analysing customer behaviour for an e-commerce platform. You have collected data on user interactions such as browsing time, click-through rates, and purchase history. Explain how you would utilise data visualisation techniques to identify patterns that could help improve the platform's user experience and increase sales. Give specific examples of visualisations and justify their use in this scenario.

As a media researcher tasked with analyzing customer behavior for an e-commerce platform, leveraging data visualization techniques is essential for extracting meaningful insights from user interaction data. With the large volumes of data collected, such as browsing time, click-through rates (CTR), and purchase history, data visualization serves as a powerful tool to simplify the complex relationships hidden within the data. Through effective visualizations, I can identify patterns, trends, and anomalies that directly contribute to improving the platform’s user experience and, ultimately, increasing sales.

### 1. Exploring User Engagement through Heatmaps

A heatmap visualization is one of the most intuitive ways to understand user interactions on a website. This technique provides a color-coded representation of where users are spending their time, how they navigate through the site, and which elements they interact with the most. By plotting metrics like click-through rates, time spent on specific areas of the page, or hover durations, I can instantly identify the most engaging sections of the website.

For example, if I use a heatmap to track where users click the most on product pages, I might find that the "Add to Cart" button is frequently clicked, but users spend very little time on product descriptions or customer reviews. This could indicate that while users are eager to add items to their cart, they are not as engaged with the content. The platform could then focus on enhancing product descriptions, reviews, or recommendations in a way that draws more attention to these areas.

Heatmaps could also be used to track browsing behavior on the homepage or category pages. If users frequently hover over certain categories but fail to click on them, it may signal that these categories are not adequately presented or that users struggle to understand them. This could prompt design changes to make these categories more appealing and easier to navigate.

### 2. Analyzing Click-Through Rates (CTR) with Bar and Line _____ __________ ______ ________ ________ ____ ______ ____ _________.
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