Company Financial Data Visualization

Fork of ICE 6 Scatter Plot Chart

This scatter plot shows projected company financials—Revenue, Expenses, and Profit—from 2018 to 2030, with each point colored by category and interactive hover tooltips revealing year, value, and employee count. Built with React components and D3.js v5, it uses `scaleLinear` and `extent` for scales, `axisBottom` and `axisLeft` for axes, and `csvParse` on static CSV data. The SVG rendering includes custom grid lines, a legend, and drop-shadow effects on hover.

90% match

Fork of Fork of Fork of ICE-6 (Multi series chart)

This multi-series chart combines bar and line encodings to compare financial metrics of a fictional company across years, highlighting revenue and expenses as bars against profit and employee counts as overlaid lines. Built with React and D3 v6, the visualization uses separate y-scales for bars and each line series, with axes rendered via `axisLeft`, `axisRight`, and `axisBottom` on an SVG. The code employs `scaleBand` and multiple `scaleLinear` instances, then draws bars as `rect` elements and lines using D3's `line` generator, with gridlines created from a reused left axis.

85% match

Fork of ICE-6(Scatter plot)

This scatter plot from the ICE-6 series visualizes monthly sales versus profit using D3 v7 with SVG rendering. Each circle encodes a month’s sales on the x-axis and profit on the y-axis, with a hover tooltip revealing exact values via mouse events. The chart includes gridlines, axis labels, and a legend, pulling data from a local CSV file. A title and caption provide context, while the dark theme and scaling functions (d3.scaleLinear, d3.extent) structure the visualization clearly.

Vvydeeshm@gmail.com

83% match

Fork of company_growth.csv

This visualization presents company financial performance over time, showing revenue, expenses, and profit for each year from 2018 to 2030. It uses grouped bar charts where lighter bars represent expenses and darker bars overlay to show revenue, with profit values labeled above each bar. The implementation combines React's state management with D3.v7 for rendering, using `scaleBand` for the x-axis years, `scaleLinear` for the y-axis amounts, `axisBottom` and `axisLeft` for axes, and a `ResizeObserver` for responsive sizing. Clicking a bar highlights that year's data.

Fork of Fork of Scatter plot

A scatter plot visualizes company financial performance from 2018 to 2030 using CSV data, encoding Revenue, Expenses, and Profit as colored circles whose size reflects employee count. D3 v7 API calls including `d3.csv`, `d3.scaleLinear`, and `d3.axisBottom` render the SVG chart, while mouseover events trigger a positioned tooltip showing metric details. A legend distinguishes the three financial metrics, and a secondary legend maps circle size to employee numbers.

Bbhargavinalamothu@gmail.com

Fork of ICE6 - Marks and Channels

This example shows a bar chart of sales revenue per product from January through May 2024. It uses D3 v6 with SVG rendering, loading CSV data from a GitHub gist and aggregating it with `d3.rollup` to sum revenues by product. Horizontal bars are drawn as `rect` elements with a steelblue fill that turns orange on hover, using `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis. Axes are generated with `d3.axisLeft` and `d3.axisBottom`.

KKiran Jyothi Bodduluri-11604571

ICE-6

A bar chart displays yearly sales figures for a company from 2014 to 2021, with values in millions and axes labeled via `d3.axisBottom` and `d3.axisLeft`. The React-based app uses D3 v5 to render an SVG, mapping data onto a band scale and linear scale. It reads its data from a hardcoded array, not the external CSV, and renders black bars with a 0.2 padding.