Horizontal category Barchart

Horizontal grouped bar chart

This horizontal grouped bar chart displays the percentage prevalence of a health-related indicator across demographic subgroups, including gender, education level, wealth quintile, and urban/rural residence. The visualization uses a single series of horizontal bars, with subgroup names on the y-axis and percentage values on the x-axis. Built with React and D3 v6, the chart leverages `scaleLinear` and `scaleBand` to map data values and categories, renders bars and value labels as SVG elements, and includes a custom tooltip that appears on mouseover. Bars are styled with varying opacity to distinguish key subgroups from secondary categories.

85% match

Overlapped Barchart

This visualization uses a React component to render an overlapped barchart in SVG, displaying percentage values across five time periods from survey data. The code loads JSON data via d3.json, then constructs scales with d3.scaleBand and d3.scaleLinear to map time periods and values to x and y coordinates. Overlapping bars are drawn as semi-transparent green rectangles with rgba(200,255,220,.9) fill, allowing underlying bars to show through when values decrease over time. The chart omits axis labels and focuses solely on the bar geometry, with data sourced from the timeperiod.json file.

78% match

Project - Horizontal Bar Chart for Total Sales of Sub-Category Product (Using React Tool and d3.js)

This example shows a horizontal bar chart of total sales for product sub-categories, with bars rendered in blue on an SVG canvas. It uses React to manage state and lifecycle, while d3’s `csv` loads the dataset and `scaleBand` and `scaleLinear` map the categorical and numeric ranges. The chart draws gridlines and tick labels via `xScale.ticks()`, and each bar’s width represents sales value. The data is fetched from a GitHub gist URL.

AAnjan Shrestha

76% match

Overlapped Barchart9

This visualization overlays a semi-transparent bar chart and a line graph to show changes in a percentage metric across overlapping time periods, with each bar labeled and tooltips revealing start and end dates. The React app loads JSON data containing survey periods (e.g., NFHS3, NFHS5) and uses d3.scaleTime, d3.scaleLinear, and d3.line to draw SVG elements. Animated hover interactions are handled via React’s onMouseOver and onMouseOut, while d3’s selection API manages the tooltip’s opacity transitions.

feat1_dropdown_dependent_barchart

This example presents a dropdown-driven bar chart comparing height and weight percentages across geographic blocks. Users select a metric from the dropdown, triggering a smooth 1-second transition that updates bar heights, fill colors, and the y-axis scale. The visualization uses D3 v5 with d3.scaleBand and d3.scaleLinear for positioning, a sequential color scale for encoding values, and transition methods for animated updates. Data comes from a local CSV file, rendered as SVG rectangles with tooltips that display block names and values on hover.

Overlapped Barchart3

This visualization displays five time periods as overlapping horizontal bars on a timeline, with each bar's width representing the date range and height reflecting the data value (a percentage). The chart uses React to manage state and D3 v6 APIs (`d3.json`, `d3.scaleTime`, `d3.scaleLinear`) to parse dates from a JSON file (`timeperiodv2.json`) and map them to SVG rectangles. The bars, drawn in semi-transparent green, overlap to highlight how different survey periods (e.g., NFHS3, RSOC, CNNS) compare chronologically and by value, while axes and grid lines are generated from D3’s tick functions.

Barchart

This bar chart visualizes survey data categorized by interest, retrieved from a GitHub-hosted JSON file. The visualization uses the D3.js library (version 6.2.0) within a React framework, rendering bars as SVG elements. The code applies conventional margins to position the chart group, with the SVG canvas sized dynamically based on its CSS style properties. Data is fetched from the specified endpoint and mapped to the bar dimensions, though the specific encoding of bar heights or labels is not shown in the provided snippet.

TTimvanAlphen

barchart-sorted

This interactive bar chart displays percentages of height, weight, and combined height+weight across eight administrative blocks, with a dropdown to switch between months (August, September, October) and a second dropdown to select which metric to visualize. The bars are sorted descending for the selected metric, and hovering reveals a tooltip with the exact value. Built with D3.js (v5) and SVG, the visualization uses `d3.scaleLinear` for the y-axis, `d3.scaleBand` for the x-axis, and `d3.interpolateRdYlGn` for color encoding. Transitions animate bar repositioning, resizing, and axis updates when the metric changes. Data is loaded from CSV files (`data.csv` and `data_month.csv`) and parsed with type conversion.