Skip to main content
SimilarExport ZIP
100%

feat1_dropdown_dependent_barchart

✓ Published3🌍 Public
AAnimesh Nautiyal
Last edited Feb 26, 2020
Created on Feb 2, 2020

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.

AI-generated description

A bare minimum HTML page.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

feat1_dropdown_dependent_barchart

This visualization displays a bar chart of block-level height and weight percentages, with a dropdown menu to switch between the two metrics. The chart sorts data and animates bar transitions, updating the y-axis and value labels accordingly. It uses D3.js for SVG rendering and animations, with a color scale based on the selected metric. The chart also includes interactive tooltips showing block names and values on hover. Data is loaded from a CSV file containing eight regional blocks.

PpramodK
92% match
Loading thumbnail…

feat1_dropdown_dependent_barchart

This interactive bar chart displays the percentage of height and weight for different blocks in the Palghar region, sourced from `data.csv`. Users switch between the two metrics via a dropdown menu, which triggers a smooth 1-second animation. Built with React and using D3.js, SVG rectangles and text labels are rendered and transitioned. The chart uses `d3.scaleLinear` for the y-axis, `d3.scaleBand` for the x-axis, and applies a sequential color scale (`d3.interpolateRdYlGn`) to encode values. A tooltip appears on hover, and the code uses `d3.csv` for data loading.

AAnimesh Nautiyal
91% match
Loading thumbnail…

feat1_dropdown_dependent_barchart

A dropdown selector toggles a bar chart between displaying Weight% and Height% data from the local data.csv file. The visualization uses D3.js (including d3.scaleLinear, d3.scaleBand, and d3.interpolateRdYlGn for color mapping) within a React framework, rendering SVG bars with transitions and a tooltip. The chart includes axes, value labels, and an animated bar height update when the selection changes.

SShweta-tech
91% match
Loading thumbnail…

feat1_dropdown

A bar chart displays the percentage of height and weight measurements for eight blocks in Palghar, India, with bars colored on a red-yellow-green scale. A dropdown menu lets users switch between the two measurement types, though the change handler currently only logs the selection. The visualization uses D3 v5 with scaleSequential and interpolateRdYlGn for color encoding, scaleBand for x-axis positioning, and scaleLinear for the y-axis. Data is loaded from a CSV file, and results are rendered as SVG.

SSubodh Singh
89% match
Loading thumbnail…

barchart-sorted

This example shows an interactive, animated bar chart comparing height and weight percentages across eight administrative blocks. Users can switch between viewing height data, weight data, or their combined sum, as well as select among three months (August, September, October) via dropdown menus. The bars are sorted by the selected metric and colored using a sequential color scale with an RdYlGn interpolator. Built with D3 v5, the visualization uses `d3.scaleLinear`, `d3.scaleBand`, and `d3.axisLeft` for scales and axes, with transitions animating bar positions, heights, text labels, and the y-axis. Hovering over a bar reveals a tooltip with the block name and value, while the underlying SVG renders the chart and its table-like layout.

AAbirKhan96
84% match
Loading thumbnail…

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.

AAnimesh Nautiyal
83% match
Loading thumbnail…

feat1_month_dependent_barchart

A bar chart compares the percentage of children with height or weight deficiencies across eight blocks in Palghar district, India, for three months (August, September, October). Users switch between metrics and months via dropdowns, triggering animated transitions in bar heights, fill colors, tooltips, and axis scales. The React app renders SVG rects and text, using D3 scales, transitions, and a tooltip div, with data from a CSV file.

AAnimesh Nautiyal
83% match
Loading thumbnail…

feat1_month_dependent_barchart

A bar chart compares the percentage of children with height or weight deficiencies across eight blocks in Palghar district, India, for three months (August, September, October). Users switch between metrics and months via dropdowns, triggering animated transitions in bar heights, fill colors, tooltips, and axis scales. The React app renders SVG rects and text, using D3 scales, transitions, and a tooltip div, with data from a CSV file.

AAnimesh Nautiyal
83% match