100%

jasplund3

✓ Published0🌍 Public

Last edited Jan 18, 2020

Created on Jan 18, 2020

Forked from A special scatterplot with d3

This visualization displays a running total of an unspecified metric from 1949 to 2019, using a time-series bar chart. The chart shows a steady, accelerating upward trend, with each bar representing the cumulative count for a given year. Built with D3 v5, it uses `d3.scaleTime` for the x-axis, `d3.axisBottom` and `d3.axisLeft` for axes, and SVG rectangles to render the bars. Data is loaded from a local CSV file via `d3.csv`, and the y-axis domain is derived from the maximum running total.

AI-generated description

A special scatterplot with d3

MIT Licensed

Similar vizzes

Loading thumbnail…

jasplund3

This bar chart displays the cumulative running total of a dataset from 1949 to 2019, showing steady growth over time. The visualization uses D3 v5 with SVG rendering, employing `d3.scaleBand` for the x-axis to position bars by year and `d3.scaleLinear` for the y-axis. Axes are generated with `d3.axisBottom` and `d3.axisLeft`, while the x-axis tick labels are filtered to show every third year. Data is loaded from a CSV file using `d3.csv`.

Ggotyou007

93% match

Loading thumbnail…

jasplund3

This example visualizes a running total over time as a bar chart, displaying a cumulative count that grows from 5 in 1949 to nearly 15,000 by 2019. The chart uses SVG rendering and the D3 v5 library, with `d3.scaleBand` for the categorical year axis and `d3.scaleLinear` for the numeric total axis. The code constructs the visualization by appending rect elements to an SVG group, and it customizes the x-axis ticks to show only every third year using `d3.timeYear.every(3)` and a filter that removes non-matching tick labels. The data is loaded from a CSV file containing year and running_total columns.

JJohn Asplund

92% match

Loading thumbnail…

Untitled

A bar chart displays the cumulative running total of values from 1884 to 2010, sourced from a CSV file. The visualization uses D3.js v5, with `d3.dsv` to load and parse the data, and SVG elements to render the bars and axes.

Jjkwycz

82% match

Loading thumbnail…

My work

This visualization displays the running total of something measured annually from 1949 to 2019, with data loaded from a CSV file. The chart appears to be a bar chart, with each year mapped to a bar whose height reflects the cumulative total. The code uses D3 v5 methods including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the SVG chart. Although axis labels and a title are defined, the rendering logic is incomplete, as the data is only logged to the console.

Aayushcha

81% match

Loading thumbnail…

Untitled

This example shows the cumulative growth of a running total from 1884 to 2010, displayed as a bar chart where each bar represents the running total for a given year. The data is loaded from a CSV file using `d3.dsv`, and the chart is rendered as an SVG element. The code defines scales for the x and y axes, appends bars to the SVG, and adds axis labels, using the D3.js library for data binding and DOM manipulation.

Ssittunswayam

79% match

Loading thumbnail…

Hw1 Q3 barplot

This barplot visualizes the running total of a data metric from 1884 to 2010, with the y-axis representing cumulative counts and the x-axis showing years. It uses D3.js v3 APIs such as `d3.scaleBand`, `d3.scaleLinear`, `d3.dsv`, and `d3.axisBottom`/`d3.axisLeft` to load and render data from a CSV file into SVG rectangles. The chart highlights growth trends over time, showing accelerating increases in later decades.

Sswang835

78% match

Loading thumbnail…

Bar Chart

A bar chart displays the running total of a dataset from 1949 to 2019, with each year’s cumulative value shown as a horizontal steelblue bar. The chart uses d3.csv to load the data, then d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis. Axes are rendered with d3.axisLeft and d3.axisBottom, while the x-axis labels are formatted with d3.format using a '.3s' suffix.

JJagan

78% match

Loading thumbnail…

Untitled

This visualization shows the cumulative growth of a dataset from 1949 to 2019, tracking a running total that increases from 5 to nearly 15,000 over seven decades. The data is loaded from a CSV file using D3’s `csv()` function, though the rendering logic is incomplete in the provided `index.js`. The example demonstrates how to import and parse tabular data with D3 v3, including accessing SVG dimensions via `.attr()` and preparing the data for subsequent plotting. The chart’s design and marks are not yet implemented in the visible code.

Eelaine-xiao

77% match