Question2 of Activity6

Activity6_Task2_Q2

This stacked bar chart visualizes fruit sales across multiple years, using horizontal segments to compare totals for Apple, Orange, Mango, and kiwi from 2018 to 2021. The chart displays the proportional contribution of each fruit per year, with tooltips showing exact sales values on hover. Built with D3 v7, the visualization uses `d3.stack()` and `d3.scaleOrdinal` for color encoding, along with `d3.axisLeft` and `d3.axisBottom` for axes. Data originates from an embedded CSV file, rendered as SVG elements.

PPothuguntla Pranitha

Activity6_Question 3

This stacked bar chart visualizes the distribution of fruit ratings across six categories, from “below 4.0” to “above 8.0.” Each horizontal bar represents a fruit, with segments colored by rating category and proportional widths indicating percentages. Built with D3 v7, the example uses `d3.stack()` for data transformation, `d3.scaleBand` for the y-axis, and `d3.scaleLinear` for the x-axis. It loads CSV data from a local file, renders SVG, and adds interactive tooltips on mouseover, styled with CSS.

Kkartheekgrpt@gmail.com

Aamarnadhkari98@gmail.com

Activity6_Task2_Qus3

This stacked bar chart displays the percentage of fruit sales across four regions: North, South, East, and West, with each bar representing a fruit type and colored segments showing regional proportions. Hovering over a segment reveals a tooltip with the exact percentage for that fruit-region combination. Built with D3 v7, the visualization uses `d3.stack()` to compute the stacked segments, `d3.scaleBand()` for the categorical y-axis, and `d3.scaleLinear()` for the percentage x-axis. The data comes from the embedded `sales.csv` file, and the SVG output includes a legend and axis labels.

Activity 6 Question 2

This stacked bar chart displays sales figures for Smartphones, Laptops, and Tablets across three years, using color-coded segments to show each category’s contribution to total annual sales. Built with D3.js v7 and rendered as SVG, the chart uses stacked rectangles via the `d3.stack()` API, with axes from `d3.axisBottom` and `d3.axisLeft`. Hover interactions reveal a tooltip with category-specific values. Data comes from a local CSV file and is processed through `d3.csv()`.

Ssagipavan2385@gmail.com

Activity 7 question 2

This example demonstrates a stacked area chart that visualizes fruit quantities across years. The visualization uses D3.js v7 to load CSV data from a GitHub repository and render the stacked areas with a categorical color scheme. The code employs D3's `d3.stack()`, `d3.area()`, `d3.scaleBand()`, and `d3.scaleLinear()` APIs to construct the chart, along with `d3.axisBottom()` and `d3.axisLeft()` for axes. The SVG output is styled with semi-transparent areas and labeled axes for year and fruit quantity.

SSowjanya Devupalli

Activity 6_Question 2

This stacked bar chart visualizes sales figures for Grocery, Appliances, and Toys across three years (2018–2020), with each bar segment colored by category. Built with D3.js v7, it uses `d3.stack` to accumulate category values, `d3.scaleBand` and `d3.scaleLinear` for axes, and SVG rectangles for rendering. Interactive tooltips appear on mouseover, displaying category and exact sales amount. The chart includes axis labels, a legend, and reads data from a local CSV file.

Mmsnikhil2608@gmail.com

Activity6-Question-2.3

This stacked bar chart shows sales distribution across six product categories, broken into five rating ranges from less than 5 to greater than 8.5. The visualization uses D3 v7’s `d3.stack()` to create the layered bars and `d3.scaleBand`/`d3.scaleLinear` for axes. An interactive tooltip appears on mouseover via D3 event handlers, displaying the sales segment value. Data loads from a CSV file, with a custom color scale for each range and a legend rendered alongside the chart.

LLayaMyadam@my.unt.edu

Activity6Question2

This stacked bar chart shows quarterly sales totals across three product categories—Electronics, Clothing, and Home Goods—using D3 v7 to render SVG. The chart uses `d3.stack()` to create stacked segments and `d3.scaleOrdinal()` for color mapping, with `d3.axisBottom` for the x-axis. Hovering over any segment reveals a tooltip displaying the exact sales value for that category and quarter. Data comes from a hardcoded CSV structure with quarter and category columns.

Gganesh.hns48@gmail.com