Skip to main content
SimilarExport ZIP
100%

Fork of Practic04 | Bar Chart Formatting

✓ Published1🌍 Public
Hhimanshucse2012
Last edited Nov 4, 2021
Created on Nov 3, 2021

A horizontal bar chart displays dry-air temperature samples from the data.csv file, with each bar labeled by date and UTC hour. The visualization uses d3.csv to load data, d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and d3.axisBottom with custom tick formatting. SVG rectangles render the bars in steelblue, while axis labels and a title annotate the chart. The y-axis is stripped of its domain line and ticks, and the x-axis includes a custom temperature label.

AI-generated description

A program that shows the top 10 most populous countries as a pathetic bar chart with no axes.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Practic05 | Bar Chart Vertical

This bar chart displays temperature readings (T and Tw) from a CSV file, plotted against time-related categories created by concatenating date and UTC hour. Using D3 v5, the visualization applies a linear scale for the x-axis and a band scale for the y-axis, rendering vertical bars with steelblue fill. The chart includes axes labels and a legend, with a simple SVG-based rendering approach.

Hhimanshucse2012
91% match
Loading thumbnail…

Fork of Fork of Practic04 | Scatter Plot Chart Formatting

This scatter plot visualizes the relationship between dry air temperature (T) and date/UTC time, using data from a CSV file loaded via d3.csv. The visualization uses d3.scaleLinear for the x-axis and d3.scalePoint for the y-axis, with d3.axisBottom and d3.axisLeft generating gridlines and tick labels. Red semi-transparent circles mark each data point, while axis labels and a title are added via SVG text elements. The chart formats axes with tick sizes and padding, and removes default domain lines for a cleaner presentation.

Hhimanshucse2012
87% match
Loading thumbnail…

Practic04 | Bar Chart

This example displays temperature readings (T and Tw) across dates and times as a bar chart. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis temperature range and `scaleBand` for the categorical y-axis combining date and time values. The chart includes `axisLeft` and `axisBottom` to display the scales, while bars are drawn as SVG rectangles colored steelblue. Data is loaded from a local CSV file and processed by converting temperature values to numbers before binding to the visualization.

Hhimanshucse2012
87% match
Loading thumbnail…

Fork of Practic 05 | Line Chart

This line chart displays dry air temperature (T) against date over time from the provided CSV dataset, with each data point marked as a blue circle connected by a steelblue line. The visualization uses D3 v5’s `scaleTime` and `scaleLinear` for the date and temperature axes, along with `axisBottom` and `axisLeft` to render gridlines and tick labels. Chart title and axis labels are added as SVG text elements, while the data is loaded via `csv()` and parsed into JavaScript `Date` objects before rendering.

Hhimanshucse2012
85% match
Loading thumbnail…

Practic 05 | Line Chart

This line chart displays dry and air temperature readings (T and Tw) against date and UTC time, plotted as circles connected by a line. The visualization uses D3 v5 with `d3.csv` for data loading, `scaleTime` and `scaleLinear` for axes, and `axisBottom` and `axisLeft` for gridlines. SVG circles mark each data point, while the line rendering is prepared through the `g` selection. The chart includes labeled axes, a title, and a clean margin-based layout, with styling handled via an external CSS file.

Hhimanshucse2012
79% match
Loading thumbnail…

Fork of Making a bar chart

This example visualizes temperature data from San Francisco over time, showing a smooth line chart with overlaid circular markers for each data point. The line is drawn using `d3.line` with `curveBasis` for interpolation, while `d3.scaleTime` and `d3.scaleLinear` map timestamps and temperature values to the SVG canvas. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, and data is loaded asynchronously via `d3.csv` from an external dataset. The SVG rendering includes styled grid lines, axis labels, and a title.

Llinyyyyyyyyy
76% match
Loading thumbnail…

Practic 05 | Area Chart

This area chart visualizes dry-air temperature readings over time, using a smoothed curve to connect daily temperature points across a date range in October and November 2021. The visualization displays the temperature trend with a filled maroon area beneath the curve, while circular markers indicate individual data points. The chart includes labeled axes for date and temperature in degrees Celsius, with a title describing the relationship. The code uses d3.csv to load the dataset, d3.scaleTime and d3.scaleLinear for scaling, and d3.area with curveBasis to generate the filled path.

Hhimanshucse2012
76% match
Loading thumbnail…

Making a bar chart

This example visualizes temperature readings over time from a CSV file as a line chart with overlaid circles marking each hourly data point. The code uses D3 v5 modules including `scaleTime`, `scaleLinear`, `line`, `axisLeft`, and `axisBottom` to render an SVG graphic. The temperature data is parsed, sorted, and scaled to fit within a 960×500 SVG canvas, with axes generated via D3’s axis components. The chart demonstrates fundamental D3 data-join and DOM manipulation techniques for creating and styling SVG elements.

MMorten Kjølstad Dybo
75% match