Skip to main content
SimilarExport ZIP
100%

temperature_data.csv

✓ Published0🌍 Public
RRuthvik Bairaboina
Last edited Oct 18, 2025
Created on Oct 18, 2025

This example displays a bar chart of average temperatures for major U.S. cities using React with D3 v7. The visualization presents the data from a CSV file with city names on the x-axis and temperature values on the y-axis, using d3.scaleBand and d3.scaleLinear for positioning. Clicking a bar highlights that city and dims others, with d3.axisBottom and d3.axisLeft providing labeled axes and gridlines. The chart uses a teal color scheme with hover effects, and supports responsive resizing through a ResizeObserver that triggers re-rendering.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

temperature_data.csv

This bar chart displays the average annual temperature for numerous U.S. cities, with each bar’s height corresponding to the temperature in degrees Celsius. Built with the D3.js library using `d3.scaleBand` and `d3.scaleLinear`, the visualization renders as SVG on a light background. It reads the `temperature_data.csv` file, parses the numeric temperature values, and draws the bars, axes, and a rotated x-axis label list using D3's modular APIs. The chart’s title and axis labels are added as SVG text elements.

RRuthvik Bairaboina
89% match
Loading thumbnail…

Temperature Plot

This visualization displays temperature readings over time, with each data point represented as a semi-transparent circle plotted along a time-scaled x-axis and a linear temperature y-axis. The chart includes labeled axes, gridlines, and a title, showing how temperatures fluctuate across several days. Using D3 v6 within a React framework, the code loads CSV data via the `csv` method, parses the timestamp and numeric temperature values, and renders the SVG using `scaleTime`, `scaleLinear`, `axisBottom`, and `axisLeft` to construct the visual.

Bbrett@cloudaccelerator.co
81% match
Loading thumbnail…

A6 - Diverging Bar Chart in D3

This diverging bar chart compares average temperatures across cities, using a diverging color scale (blue to red) to show deviations from the mean baseline. The visualization renders as SVG via D3 v7, with bars extending left or right from the baseline depending on whether temperatures fall above or below average. It uses `d3.scaleDiverging` with `d3.interpolateRdBu` for coloring, `d3.scaleBand` for city categories, and a `d3.legendColor` legend. Data comes from a CSV file containing weather records, loaded with `d3.csv`, and the chart includes labeled axes and a title.

RRiya Mathur
81% match
Loading thumbnail…

Temperatures of Cities

This visualization displays temperature measurements from cities around the world over a one-week period. Multicolored line paths represent each city's temperature fluctuation over time, with a color legend positioned at the right identifying each city. The chart includes gridlines and labeled time and temperature axes. Built with React and D3 v6, the example uses `scaleTime` and `scaleLinear` for scaling, `line` with `curveBasis` for path generation, and `scaleOrdinal` with `schemeCategory10` for colors. Data originates from a CSV file loaded via `csv()`, and the SVG rendering employs the declarative selection API.

MMatthew Rubino
81% match
Loading thumbnail…

1Q_SDV_Assgnmt6

A bar chart displays the average annual temperatures of U.S. cities in degrees Celsius, sourced from a local CSV file. The chart uses a vertical bar for each city, with the y-axis representing temperature and the x-axis showing city names, which are rotated for readability. Built with D3 v7, the visualization employs `scaleBand` and `scaleLinear` to map data, `selectAll` to create SVG rectangles, and `axisBottom` with filtered tick values to manage crowded labels. The chart includes a title, axis labels, and a light gray background.

RRuthvik Bairaboina
80% match
Loading thumbnail…

A6 - Sequential Color Scale Bar Chart

This example visualizes average temperatures across cities using a horizontal bar chart with a sequential blue color scale. It shows how temperature values map to color intensity, with a legend on the right providing the quantitative scale. The visualization uses D3.js v6 with d3.scaleSequential and d3.interpolateBlues for the color encoding, along with d3.scaleLinear and d3.scaleBand for the axes. A linear gradient legend displays the temperature-to-color mapping, and the data comes from a CSV file hosted on GitHub Gist. The chart includes axis labels and a title, with the bars' color intensity reflecting the average temperature for each city.

RRiya Mathur
80% match
Loading thumbnail…

Temperature across cities

This example visualizes temperature variations across multiple cities over a one-week period, with each city represented as a distinct colored line. The chart displays time on the x-axis and temperature on the y-axis, and includes a color legend identifying each city. Data is loaded from a CSV file using `d3.csv`. The visualization uses `d3.line` with `curveBasis` to generate smooth paths, `d3.scaleTime` and `d3.scaleLinear` for axes, `d3.nest` to group data by city, and `d3.scaleOrdinal` with `schemeCategory10` for colors. A custom `colorLegend` component provides the interactive legend, and the rendering uses SVG with animated transitions on legend updates.

BB Sundaresan
79% match
Loading thumbnail…

Line Chart

This interactive line chart displays temperature trends over time from the Data Canvas Sense Your City dataset. The visualization uses React to render an SVG graph with time-scaled x-axis and linear-scaled y-axis, applying a natural curve to connect data points smoothly. D3 v5 utilities generate the axes and line path, while React hooks load and parse the CSV data. The chart includes labeled axes showing days on the horizontal axis and temperature values on the vertical axis, with a clean, minimal design emphasizing the data pattern.

Ggujjapooja7@gmail.com
78% match