Skip to main content
SimilarExport ZIP
100%

Line Chart ICE 7

✓ Published0🌍 Public
MM Hema
Last edited Mar 28, 2024
Created on Mar 27, 2024

This line chart shows COVID-19 total deaths by country across the first ten rows of a CSV dataset, sorted by country name. The visualization uses d3.v7 to create an SVG chart with a blue line plot, a banded x-axis for countries, and a linear y-axis for death counts. It fetches data asynchronously via `d3.csv`, filters to ten entries, and draws axes and the line path within a defined margin. Axis labels are added as SVG text elements, and the chart title dynamically reflects the y-axis label.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

ICE 7 Area Chart

This area chart visualizes COVID-19 total deaths by country, using D3 v7 to load CSV data and display the first ten countries sorted by the x-axis attribute. The chart employs a band scale for the categorical x-axis and a linear scale for the y-axis, with an area path filled in light blue. Axes are rendered using d3.axisBottom and d3.axisLeft, and the SVG output includes labeled titles for both axes.

MM Hema
88% match
Loading thumbnail…

ICE -6 Bar Chart

This bar chart displays the total COVID-19 deaths for the top ten countries, sorted in descending order and colored with D3’s `schemeCategory10` palette. It uses an SVG rendered via D3 v7’s `scaleBand` for the x-axis and `scaleLinear` for the y-axis, with axes added by `d3.axisBottom` and `d3.axisLeft`. A manual legend maps each country’s name to its colored rectangle. The data is loaded from a CSV file using `d3.csv`.

MM Hema
84% match
Loading thumbnail…

ICE7 Line Chart 11540905

This line chart displays the cumulative COVID-19 case counts across nine countries over time, with the x-axis representing total cases and the y-axis showing countries. The visualization uses D3 v5 with an SVG canvas, employing `scaleLinear`, `axisBottom`, `axisLeft`, and `line` APIs to render the axis and path. Data is loaded from a remote CSV file via `csv()`, with values parsed and scaled before being drawn as a single red line path.

Nnagasai-gummadi
83% match
Loading thumbnail…

ICE-6.js

This bar chart displays COVID-19 death counts by country, with a horizontal layout where each bar's length is proportional to the number of deaths. The visualization uses D3 v7’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map the CSV data to an SVG canvas. A margin-based coordinate system positions the axes and cyan-filled rectangles, while the data is loaded via `d3.csv` and rendered as a static, non-interactive graphic.

Jjayanthamol99
83% match
Loading thumbnail…

Melting Data for Multiple Lines

This example visualizes COVID-19 death counts over time for seven countries, with each country represented as a colored line and labeled at its final data point. The chart uses a linear time scale for days since the 10th death and a linear scale for death counts, with axes and a color legend rendered by custom D3 functions. The code loads CSV data, processes it, and uses `d3.nest` to group by country, `d3.line` with `curveBasis` for smooth paths, and `d3.scaleOrdinal` for colors. The visualization is rendered as SVG with D3 v5.

Iinroadings
83% match
Loading thumbnail…

ICE-7 Line chart covid death analysis

This line chart visualizes COVID-19 death counts over time, using a blue-to-yellow gradient stroke to encode the trend. The chart includes labeled axes for months and deaths, with interactive hover capabilities that display the exact death value at any point via a moving circle and text label. Built with D3.js v4, the visualization reads CSV data from a GitHub gist, parses dates using `d3.timeParse`, and renders an SVG with `d3.scaleTime`, `d3.scaleLinear`, `d3.line`, and event listeners for mouse interactions.

SShishiraRudrabhatla
83% match
Loading thumbnail…

Melting Data for Multiple Lines

This visualization depicts the cumulative number of COVID-19 deaths across various countries, plotted against the number of days since each country recorded its tenth death. The chart uses multiple lines, color-coded by country, with a legend to identify each one. The data is processed from CSV files, and the visualization is built with D3 v5, using scales like `scaleLinear`, axis functions, and the `line` generator to create the paths. The code also includes custom logic for data cleaning and merging the datasets.

Iinroadings
82% match
Loading thumbnail…

ICE_7 Line_Chart

This line chart displays the number of deaths in the USA from 2012 to 2022, with the year on the x-axis and the death count on the y-axis. The SVG visualization uses d3.scaleTime, d3.scaleLinear, d3.axisBottom, d3.axisLeft, and d3.line to render the data, which is loaded from a CSV file via d3.csv. The chart includes gridlines, axis labels, and a blue line path, with margins and tick formatting configured in the code.

SShivaKarpe
82% match