simple bar chat dataset

100%

simple bar chat dataset

✓ Published0🌍 Public

Last edited Nov 9, 2017

Created on Nov 9, 2017

This example shows a simple bar chart constructed from a semicolon-delimited CSV dataset loaded via `d3.text` and parsed with `d3.dsvFormat`. The SVG renders category labels (A–J) as text elements, but no rectangles are drawn, so the chart remains incomplete. Linear scales (`d3.scaleLinear`) set the x and y domains based on data length and maximum value, though only the y-axis domain is applied. The code uses D3 v4 and a monospace font for labels, with axes omitted.

AI-generated description

Built with blockbuilder.org

forked from <a href='http://bl.ocks.org/romsson/'>romsson</a>'s block: <a href='http://bl.ocks.org/romsson/c607174fc6fd5c7bfaa804d46ca70eab'>simple bar chat</a>

forked from <a href='http://bl.ocks.org/romsson/'>romsson</a>'s block: <a href='http://bl.ocks.org/romsson/8fd6bffd4aca9e8f2181ba331070f60b'>simple bar chat from dataset</a>

forked from <a href='http://bl.ocks.org/romsson/'>romsson</a>'s block: <a href='http://bl.ocks.org/romsson/98c007fd3367cd0665ebd15299c3bfdc'>simple bar chat updates</a>

forked from <a href='http://bl.ocks.org/romsson/'>romsson</a>'s block: <a href='http://bl.ocks.org/romsson/66505e5ae61b0908ee857ecf54e508d9'>simple bar chat dataset</a>

mit Licensed

Similar vizzes

Loading thumbnail…

simple bar chat dataset

A simple bar chart displays categorical values from a semicolon-delimited CSV dataset, labeling each bar with its name. The visualization uses D3 v4 to load the external dataset.csv file via `d3.text` and parse it with `d3.dsvFormat`, then applies `d3.scaleLinear` for both the x and y axes. Bars are rendered as plain SVG rectangles with black outlines but no fill, positioned using translated groups. The chart intentionally avoids specifying a domain until the data loads, demonstrating dynamic scaling based on the parsed values.

EElisaDnr

95% match

Loading thumbnail…

simple bar chat dataset

This example shows a set of categorical bars colored black and white, with each bar labeled by a letter from A to J. It uses D3 v4 to load semicolon-delimited data from a CSV file via `d3.dsvFormat` and `d3.text`, then renders the chart as SVG rectangles and text elements. The x and y scales are created with `d3.scaleLinear`, with domains set after the data is parsed. The chart itself does not display bars; it only shows the text labels positioned along the x-axis, as the code appends text elements but no rect elements.

EEnzoTheBrown

93% match

Loading thumbnail…

simple bar chat dataset

EEnzoTheBrown

93% match

Loading thumbnail…

simple bar chat dataset

A simple bar chart displays a static dataset of eleven named values, rendered as outlined rectangles with monospaced labels below each bar. The visualization loads a semicolon-delimited CSV file containing name-value pairs and maps the values to bar heights using linear scales. Built with D3 v4, the code parses the dataset with `d3.dsvFormat`, computes the maximum value to set the y-domain, and appends SVG `text` and `rect` elements to the document body. The bars are positioned with translated groups, and both axes are implicit rather than explicitly drawn.

EElisaDnr

93% match

Loading thumbnail…

simple bar chat dataset

This simple bar chart visualizes a small dataset of categorical values loaded from a semicolon-delimited CSV file. The chart uses SVG rectangles, with each bar’s height proportional to its numeric value, while the category names are displayed as text labels above the bars. The code relies on `d3.text` to fetch the dataset, `d3.dsvFormat(';')` to parse the semicolon-separated values, and `d3.scaleLinear` for the x- and y-axes’ positioning and scaling. Rectangles and text are appended using D3’s data-join pattern, with styling applied via CSS.

HHectorDt

93% match

Loading thumbnail…

simple bar chat dataset

This example shows a semicolon-delimited dataset of ten name–value pairs rendered as a basic bar chart. It first loads the CSV file using `d3.text` and parses it with `d3.dsvFormat`. Two linear scales, `d3.scaleLinear`, define the x- and y-domains after data arrival. Bars are drawn as SVG rectangles with strokes, and each category label appears as an SVG text element. The visualization demonstrates delayed domain setting and basic data binding with D3 v4.

AAlsaxian

92% match

Loading thumbnail…

simple animated bar chat dataset

A simple bar chart built with D3 v4 reads a semicolon-delimited CSV file from the local gist, parsing it with `d3.dsvFormat(';')` and `dsv.parse(raw)`. The SVG rendering creates a 960-by-500 canvas and uses `d3.scaleLinear` for both the x- and y-axes, with the y-domain computed from the maximum value in the dataset. Ten labeled bars (A through J) are positioned using the x-scale, though the chart currently lacks displayed rectangles and only renders the category names as text. The data source is a small `dataset.csv` included with the block.

EEnzoTheBrown

90% match

Loading thumbnail…

simple bar chat dataset

This example shows a simple bar chart of categorical data from a CSV file, with letters A through J plotted on the x-axis and their associated numeric values represented by bar heights. The visualization updates continuously: every half-second, the values are replaced with random numbers, and the bars animate smoothly to their new heights. The code loads the dataset with `d3.text` and parses it using `d3.dsvFormat` with a semicolon delimiter. It uses `d3.scaleLinear` for both axes, SVG `rect` elements for the bars, and `transition().duration(100).delay()` to stagger the update animation, while the y-axis domain is recalculated with `d3.max` after each data change.

EEssohanamKouyou

90% match