Skip to main content
SimilarExport ZIP
100%

Fork of line chart

✓ Published0🌍 Public
Kkalyanikotha
Last edited Mar 27, 2022
Created on Mar 27, 2022
Forked from line chart

This line chart, titled "Trades for Data," displays total sales over time, plotting years on the x-axis and totals on the y-axis. The visualization uses D3 v5 to load CSV data from a GitHub gist, parse dates, and render the result as an SVG. It employs `scaleTime` and `scaleLinear` for axes, `line` to generate the path, and `axisBottom` and `axisLeft` to draw the chart’s gridlines and labels.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of line chart

This example visualizes yearly total sales with a line chart, plotting date values against sales figures on Cartesian axes. The SVG rendering uses d3.scaleTime and d3.scaleLinear to map the data domain, while d3.axisBottom and d3.axisLeft generate the tick marks and labels. Data loads from a CSV file at a GitHub gist URL, and the line path is drawn using d3.line. The visualization removes axis domain lines, adds axis labels, and styles the path with a black stroke.

Rrohinikotha
88% match
Loading thumbnail…

Fork of Fork of Fork of Line Chart

This visualization shows product sales from 2015 to 2022, with time mapped to the x-axis and sales figures on the y-axis. The line chart uses a red stroke to trace the sales trend across years. The code loads CSV data from a gist URL using d3.csv, converts the Year column to Date objects and Sales to numbers, then renders the chart with d3.scaleTime, d3.scaleLinear, d3.axisBottom, d3.axisLeft, and d3.line. The SVG output includes gridlines via tickSize and axis labels, with the margin and inner dimensions calculated for layout.

Sspandhanabadekol
85% match
Loading thumbnail…

Fork of Line chart

This line chart visualizes yearly sales data from a remote CSV file, mapping time on the x-axis and sales values on the y-axis. The code uses D3 v7’s `d3.csv` to load and parse data, `d3.scaleTime` and `d3.scaleLinear` for scales, and `d3.line` to generate a steelblue path. Axes are rendered with `d3.axisBottom` and `d3.axisLeft`, with custom formatting for years, and the SVG output is sized 800 by 400 pixels. The visualization demonstrates a clean, minimal line chart with labeled axes and no interactivity.

Mmadipadiga.raviteja@gmail.com
85% match
Loading thumbnail…

Fork of Fork of line chart section 3

This example visualizes car sales data from 2013–2021, plotting total sales against years. The chart uses a red line to show the trend over time, with axes labeled "years" and "totalsales." It loads data from a CSV file, parses dates with `d3.timeParse`, and renders as an SVG using D3 v5 functions like `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `line`. Gridlines are styled with tick sizes, and axis labels are added via appended text elements.

Yyaswanthsen
84% match
Loading thumbnail…

Fork of line chart section 3

This example shows a line chart tracking total car sales per year from 2013 to 2021, with time on the x-axis and sales on the y-axis. Using D3 v5, it loads CSV data from a GitHub gist and parses dates with `d3.timeParse`. The chart employs `scaleTime` and `scaleLinear` for axes, while `d3.line` generates the red path. Grid lines are drawn via `axisBottom` and `axisLeft` with tick sizes spanning the plot area, and axis labels rotate for the y-axis.

RRohith arabati
84% match
Loading thumbnail…

Fork of Fork of Line chart

This line chart visualizes car sales data from 2013 to 2021, plotting yearly totals as a single red path against time-based axes. The SVG rendering uses d3.scaleTime and d3.scaleLinear to map years and sales counts, with d3.axisBottom and d3.axisLeft providing labeled ticks. The line is generated via d3.line and the data is loaded as CSV from a GitHub gist using d3.csv. Gridlines and axis labels clarify the values, while the chart’s title appears above the graphic.

VVenkata Rajashekar Reddy Chinthala
84% match
Loading thumbnail…

Fork of Line Chart

This fork of a line chart displays company sales data over time, with companies on the x-axis and sales figures on the y-axis. The visualization uses a red line to connect data points, with axis labels and a title for context. It loads CSV data from a GitHub gist using d3.csv, parses the date and numeric values, and renders the chart as an SVG using d3.scaleTime, d3.scaleLinear, d3.axisBottom, d3.axisLeft, and d3.line.

Mmanvithareddykarra
84% match
Loading thumbnail…

Fork of Fork of line chart section 3

This visualization displays car sales data from 2013 to 2021, using time on the x-axis and total sales on the y-axis. Drawn as a red SVG line via `d3.line`, the chart employs `d3.scaleTime` for the temporal axis and `d3.scaleLinear` for sales, with axes generated by `d3.axisBottom` and `d3.axisLeft`. Data is loaded as CSV from a GitHub gist and parsed with `d3.timeParse`. The example builds on D3 v5, using modular imports and a simple margin-based layout with custom axis labels.

RRahulChaitu999
84% match