Activity6_Q2

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✓ Published1🌍 Public

Last edited Apr 10, 2024

Created on Apr 10, 2024

This stacked bar chart visualizes mobile phone sales across four brands (Samsung, Nokia, Motorola, Redmi) and four fiscal quarters, using D3 v7 with SVG rendering. The chart displays quantitative price data along the x-axis and categorical brand groups along the y-axis, with each bar segment colored by quarter. Interactive mouse events trigger tooltips showing the exact sales value for each segment. The visualization uses d3.stack for data aggregation, d3.scaleOrdinal for color mapping, and d3.scaleBand/scaleLinear for axes, with data loaded from the provided CSV.

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The impact of genre on movie ratings

This stacked bar chart gives the percentage of each rating level within different movie genres. The aim is to show the impact of genre on movie ratings. When the mouse hovers over each bar, you can see pop-ups of accurate percentage of each rating level within each genre. Total percentage is 1, representing 100%.

MIT Licensed

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This stacked bar chart visualizes mobile phone prices across four brands (Samsung, Nokia, Motorola, Redmi) for four fiscal quarters, showing the cumulative price contribution of each quarter. The visualization uses D3.js v7 with an SVG rendering, employing the `d3.stack()` function to create stacked segments and `d3.scaleBand`/`d3.scaleLinear` for axes. Hovering over any segment displays a tooltip showing the specific quarter and sales amount. The chart includes ordinal color scaling for quarters, axis labels, and a legend, with data loaded from a CSV file containing brand and quarterly price values.

Tthakurnikhitha4@gmail.com

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activity6_q3

This example presents a stacked horizontal bar chart visualizing mobile brand sales across four quarters. The data is loaded from a CSV file, and each brand’s quarterly sales are stacked to show total price contributions. The chart is rendered as an SVG using D3 v7, with axes, a title, and a color-coded legend. Hovering over a bar segment triggers a tooltip displaying the brand and its specific sales value. The visualization employs D3’s scaleBand, scaleLinear, stack, and axis functions to construct the layout and interactions.

RRJVENKATESH789@GMAIL.COM

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Activity6_Q2.3

This stacked bar chart visualizes the distribution of smartphone sales across five price categories for ten brands, with each bar normalized to show proportions of total sales. The D3.js v7 code loads data from a CSV file and renders an SVG visualization, using `d3.stack()` to create stacked segments, `d3.scaleOrdinal()` for color mapping, and `d3.axisBottom()` with percentage tick formatting. Interactive tooltips display the exact percentage for each segment on hover, while a legend identifies the color-coded categories.

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Activity6_Task2_q1

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Vvemurisuchitha@gmail.com

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Activity6_Question2

This example visualizes mobile phone sales data from a CSV file as a horizontal stacked bar chart, displaying yearly sales figures for Apple, Samsung, Motorola, and Google. The chart uses D3.js v7 to load data, apply sequential color scales, and render the SVG with axis labels and a tooltip that reveals specific sales values on hover. The code demonstrates importing D3 via UNPKG, using utility functions like `d3.stack()` and `d3.scaleBand()`, and structuring chart elements with an SVG canvas.

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Activity6 Q 2.3

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Activity6_Question - 2

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Activity-6 Question-3

This visualization shows device sales across smartphone, laptop, and tablet categories for five brands using a horizontal stacked bar chart rendered as SVG. The chart uses d3.stack() to compute stacked segments, d3.scaleLinear() for the sales axis, and d3.scaleBand() for brand categories. Hover interactions trigger opacity changes and tooltips displaying exact sales values via a div element. Data comes from an embedded devices_sales.csv file with sales figures for Samsung, Lenovo, Nokia, Apple, and Google Pixel.

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