Skip to main content
SimilarExport ZIP
100%

Assignment_6_Sowjanya_3

✓ Published0🌍 Public
Ssaisowjanyaedupuganti.24f@gmail.com
Last edited Oct 19, 2025
Created on Oct 19, 2025

This multi-series line chart shows monthly climate trends for temperature, rainfall, and humidity from a CSV dataset, with each series color-coded via D3’s `scaleOrdinal` and `schemeSet2`. It uses the `d3.line` generator to draw three overlaid paths, and `d3.axisLeft` with negative tick sizes to create subtle gridlines. Data is aggregated by month using `d3.rollups` and `d3.mean`. A circle annotation highlights the peak temperature point, while legend and axis labels clarify the scales.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Assignment _6(Multi series chart)

This multi-series line chart visualizes monthly climate trends, comparing average temperature, rainfall, and humidity across aggregated city data. The chart uses a shared y-axis to display all three metrics, with distinct colored lines and a legend for identification. The code loads CSV data via `d3.csv`, aggregates it with `d3.rollups`, and scales axes using `d3.scaleLinear`. Lines are drawn with `d3.line` paths, while gridlines and axes are rendered using `d3.axisLeft` and `d3.axisBottom`. A highlighted circle annotates the peak temperature point.

Ssaisowjanyaedupuganti.24f@gmail.com
91% match
Loading thumbnail…

Assignment 6

This multi-series line chart visualizes yearly average global temperatures from 1948 to 2023, comparing maximum, mean, and minimum temperature trends using three colored lines (red, blue, and green). The visualization aggregates daily temperature records from a CSV file by year using d3.rollup, then renders the aggregated data as an SVG with d3.line and curveMonotoneX. Points are sampled every fifth year as markers, with axes implemented via d3.axisBottom and d3.axisLeft. A legend identifies each metric, and the chart includes axis labels and a descriptive title.

BBhargav Reddy
82% match
Loading thumbnail…

combined(bar + line)Assignment 6

This visualization combines a bar chart and a line chart to show monthly climate trends for rainfall (in millimeters) and average temperature (in Celsius), using a dual-axis layout with the bars scaled to the left axis and the line to the right. The SVG rendering is built with D3 v7, leveraging `d3.scaleBand`, `d3.scaleLinear`, and the `d3.axis` utilities to construct the axes, while the line is drawn via `d3.line` appended as a path. Data is fetched from a remote CSV URL and aggregated by `Month_Index` using `d3.rollups` with mean calculations for both metrics. A legend, axis labels, and an annotation for the peak rainfall month complete the chart.

Ssaisowjanyaedupuganti.24f@gmail.com
82% match
Loading thumbnail…

Assignment3.2

This example visualizes monthly average temperature variations from January to December using a smoothed area chart. It renders an SVG graphic with red-filled areas and styled axes, drawing data from a CSV file hosted on GitHub. The visualization is built with D3 v5, using functions like `scalePoint`, `scaleLinear`, `area`, `curveBasis`, `axisBottom`, and `axisLeft` to create scales, the area path, and labeled axes. Axis ticks and labels are styled via CSS classes applied in the SVG output.

Ssiddhubhupathi@gmail.com
79% match
Loading thumbnail…

Assignment 7 question 3

This example presents a line chart of India’s average annual temperature from 2000 to 2023, drawn in SVG using D3 v7. The visualization plots a teal monotone curve with orange circular markers for each year’s temperature value. It uses d3.csv to load climate data from a GitHub gist, d3.scaleLinear for the x and y axes, and d3.axisLeft and d3.axisBottom to render ticks with gridlines. The chart includes labeled axes and a title, with data filtered to a single country and sorted by year.

Vveginetiumeshchandra@lbrce.ac.in
77% match
Loading thumbnail…

Activity 7_Q2

This example displays monthly average temperatures as a smooth area chart, with the area fill and line colored green and each data point labeled with its value in degrees Celsius. It loads CSV data from a GitHub gist and renders an SVG visualization using D3 v5, applying `scaleBand` and `scaleLinear` for the axes, `area` to generate the area path, and `axisBottom`/`axisLeft` for the titled axes. The code uses `select`, `csv`, `max`, and the `join` method to add text labels for peaks and troughs.

Sssuryateja804@gmail.com
77% match
Loading thumbnail…

Assignment-2-2

This visualization displays monthly average temperatures as a filled area chart, with temperature values plotted along the y-axis and months along the x-axis. The chart uses a steelblue fill to represent the temperature trend across the year. Built with D3.js, it imports data from a remote CSV file and leverages `scaleBand`, `scaleLinear`, and `area` to generate the geometry. The code employs `axisBottom` and `axisLeft` for the coordinate axes, with labels for "Month" and "Average Temperature (°C)". The SVG output is configured to fill the browser viewport.

Hhkodiripaka15@gmail.com
77% match
Loading thumbnail…

third

This visualization shows the average monthly temperature from January 2021 through December 2024, with the x-axis displaying month-year labels and the y-axis measuring temperature in degrees Celsius. A blue line connects the data points, while orange circles mark each measurement and provide hover tooltips with the exact value. The chart uses D3 v7’s `d3.csv`, `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` to parse the external CSV file and render the SVG line chart. The dataset reveals a consistent seasonal pattern across all four years, with warmer temperatures peaking in June and July.

Mmsahithipatel@gmail.com
76% match