Skip to main content
SimilarExport ZIP
100%

ICE-6 Multi-Series and Combined Chart

✓ Published0🌍 Public
Jjanisha30gowda@gmail.com
Last edited Oct 20, 2025
Created on Oct 16, 2025

This example presents two D3.js v7 charts built with SVG, using data from a city_temps.csv file. The first is a multi-series line chart for Dallas showing monthly Temperature, Rainfall, and Humidity trends with distinct colored lines and a legend. The second is a combined chart overlaying steelblue bars for rainfall with a tomato-colored line for temperature, using a band scale for months and a linear scale for values. Both charts utilize d3.csv, d3.line, d3.scaleLinear, d3.scaleBand, d3.axisBottom, d3.axisLeft, and D3 selections to render the visualizations.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

ICE-6 Multi-Series Chart

Two SVG charts display monthly weather data for multiple U.S. cities from `city_temps.csv`. The multi-series line chart draws separate lines for temperature, rainfall, and humidity per city using `d3.line`, `d3.scaleLinear`, and `d3.scaleOrdinal`. A combined chart juxtaposes Dallas rainfall as bars with a temperature line on the same axes, using `d3.scaleBand` and `d3.axisBottom`. Both charts use SVG rendering with D3 v7 selection and data-binding APIs.

Jjanisha30gowda@gmail.com
93% match
Loading thumbnail…

Multiline & Combined

Two D3.js v7 SVG charts display monthly data from ICE.csv. The first is a multi-series line chart plotting signups, revenue, and support tickets over time on a shared axis, using distinct pastel strokes and a legend. The second combines a bar chart of revenue with an overlaid line for support tickets, using shared time and value scales. Both charts employ d3.csv, d3.timeParse, d3.scaleTime, d3.scaleLinear, d3.line, and d3.axisBottom/axisLeft.

Mmaddulanagasanjana@gmail.com
82% match
Loading thumbnail…

Q3_Ice6

This visualization presents daily weather data through two D3.js v7 SVG charts: a multi-series line chart and a combined chart. It uses `d3.csv` to load data, `d3.rollups` with `d3.mean` to aggregate values by date, and `d3.line` with a monotone curve to render temperature, humidity, and rainfall trends over time. The line chart includes gridlines, axes, and a legend, while the second chart combines multiple mark types. Data is sourced from a remote CSV file containing date, temperature, humidity, rainfall, and wind speed columns.

SSaiSriSuryaBandaru@my.unt.edu
81% match
Loading thumbnail…

ICE-6(multi series)

This example combines bar and line charts to compare sales and profit across seven months, with bars encoding sales and a monotone line tracking profit. The SVG visualization is built with D3 v7, using `d3.scaleBand`, `d3.scaleLinear`, and `d3.line` with `d3.curveMonotoneX`. Interactive tooltips appear on bar and dot hover via mouse events, while gridlines, axis labels, and a custom legend clarify the dual-series data loaded from a CSV file.

Vvydeeshm@gmail.com
81% match
Loading thumbnail…

ice6

A multi-series combined chart displays three time-based metrics (metric_A, metric_B, metric_C) as smooth lines alongside vertical bars representing monthly averages of metric_B. The SVG visualization uses D3 v7 with d3.csv for data loading, d3.scaleTime and d3.scaleLinear for axes, d3.rollups for monthly aggregation, and d3.line with curveMonotoneX for line generation. Gridlines and a legend support the view, with data sourced from a remote CSV file.

Kkmuktha09@gmail.com
80% match
Loading thumbnail…

ICE 6 Multi series Chart

This example uses D3 v5 APIs within a React component to render a multi-series chart combining bars and a line. D3’s `csv` loader, `scaleBand`, `scaleLinear`, `line`, and `curveMonotoneX` construct the visualization, which plots M2 Money Supply as bars and GDP as a line over time. The data comes from a remote CSV file, and the SVG rendering includes interactive features, tooltips, and hover effects with drop shadows. Axis ticks and labels are built via custom React components using D3 scales.

Ddiwashhumagain@my.unt.edu
80% match
Loading thumbnail…

ICE 6 -3

This example shows a multi-series line chart comparing math, reading, and writing scores across sampled students, with interactive hover tooltips displaying exact values for each score type. The visualization uses D3 v7 to load CSV data from a GitHub gist, downsamples every 10th record, and renders the series with `d3.line` and `d3.curveMonotoneX` on an SVG canvas. Horizontal gridlines, a legend, and axes are generated via `d3.axisLeft` and `d3.axisBottom`. Three colored lines—steelblue, tomato, and seagreen—represent the respective subjects, with hover circles attached via `mouseover` events to populate the tooltip div.

Ssakethpapareddy@gmail.com
80% match
Loading thumbnail…

Qestion3_Ice7

This multi-line chart displays daily temperature variations across several cities, with each city represented by a colored line and identified through a legend. The visualization uses D3.js v7 to load CSV data from a remote GitHub gist, parse dates with `d3.csv` and `d3.autoType`, and render SVG paths using `d3.line` with a monotone X curve. Axes are generated with `d3.axisBottom` and `d3.axisLeft`, while `d3.scaleTime` and `d3.scaleLinear` map dates and temperatures. A Tableau10 color palette distinguishes city groups via `d3.scaleOrdinal`.

SSaiSriSuryaBandaru@my.unt.edu
80% match