ICE-7 Tagore Line Chart (3)

ICE-7 Tagore Area chart(4)

This area chart, titled “Population Trends in States,” visualizes state population values for the year 2022 using an SVG-based D3.js v7 implementation within a React framework. It shows each state’s population as a filled area, with a steel-blue semi-transparent region spanning horizontally across the categorical x-axis. The chart uses `d3.area` to generate the path, with `d3.scaleBand` positioning states and `d3.scaleLinear` mapping population counts, while rotated x-axis labels enhance readability. Data is loaded from a CSV file via `d3.csv` and parsed by stripping commas. Axis labels and tick formatting follow standard D3 axis components, with margins adjusted for label rotation.

89% match

Line Chart ICE-7

This line chart shows the population of the United States from 2010 to 2022. The chart uses a time-scaled x-axis for years and a linear y-axis for population values, with styled gridlines and axis labels. The visualization is rendered as an SVG using React and D3 v5, employing `d3.csv` to load data from a GitHub gist, `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and a `line` generator to draw the path. The code includes custom CSS for tick colors, axis labels, and a bold stroke for the line.

KKrishnaPriyaKurra

85% match

ice7-3

This example displays population data for different states as a line chart, with population on the y-axis and time-based population values on the x-axis. The visualization uses D3 v5’s `csv`, `scaleLinear`, `scaleTime`, `axisLeft`, `axisBottom`, and `line` APIs to load and render the data as an SVG path. It reads data from a GitHub gist, applies margins and gridlines via tick sizing, and styles the line in red with labeled axes.

Ggayathri

85% match

ICE_6

This horizontal bar chart displays population estimates for a subset of US states using React and D3 v5. The visualization maps state names to the y-axis and population values to scaled bar widths on the x-axis. Population data is loaded from a CSV file via `d3.csv`, parsed with `parseInt`, and sliced to 11 records. The chart uses `d3.scaleBand` for categorical y-positions and `d3.scaleLinear` for quantitative scaling, with SVG `rect` marks for bars and manual axis tick rendering via `xScale.ticks()`.

Fork of ICE_6

This example visualizes population estimates for a subset of U.S. states using a horizontal bar chart rendered as SVG via React and D3. It shows the relative population sizes for ten states, with each bar’s length encoded by the population value and the state name labeled along the vertical axis. The code loads CSV data from a remote URL, parses the population column as numbers, and uses `scaleBand` for the y-axis and `scaleLinear` for the x-axis. It also employs `axisLeft` and `axisBottom` indirectly through custom tick rendering, with grid lines and tick labels drawn manually using D3 selections and React’s `map` function.

ICE-7 Tagore Scatter Plot (1)

This example presents a reusable scatter plot built with D3.js, visualizing state population changes between 2020 and 2021 from a CSV dataset. It shows the relationship between the two years' population figures, with each circle representing a state. The code defines a configurable `scatterPlot` function using D3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs, then loads data via `csv` and renders SVG circles with axes. The plot is styled with the Share Tech font and adapts to the full window size, with axis labels added directly in `index.js`.

ICE-7 Tagore Pie Chart (2)

This pie chart displays state population data for a selected year, with each slice sized proportionally to the population value. The visualization uses D3 v5's `pie()` and `arc()` generators to create the chart, while `scaleOrdinal()` maps state names to a custom color palette. The chart includes labeled slices, a legend, and population figures positioned using `arcGenerator.centroid()`. Data is loaded from a CSV file hosted on GitHub, and the visualization defaults to the first available year column. The React framework is not actually used in the rendering logic, which is plain D3 with SVG.