Skip to main content
SimilarExport ZIP
100%

Activity 7 _ Q2

✓ Published0🌍 Public
Mmsnikhil2608@gmail.com
Last edited Apr 10, 2025
Created on Apr 10, 2025
Forked from Hello VizHub

This area chart visualizes monthly visitor counts for 2024, using a steel-blue filled path to show trends over time. The D3.js v7 code loads CSV data from a GitHub repository, parses dates with `d3.timeParse`, and renders axes with `d3.axisBottom` and `d3.axisLeft`. The area shape is generated with `d3.area`, and the SVG output includes labeled axes for month and visitor numbers.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity 7 Q2

This area chart visualizes monthly website visitor counts using a time-series line that fills the space beneath it in steel blue. The SVG visualization is built with D3 v7, loading CSV data from a GitHub raw dataset. It employs `d3.scaleTime` for the date axis and `d3.scaleLinear` for the visitor count, while `d3.area` generates the filled path. Axis labels and a descriptive title are included for clarity.

Aanisha.peddireddy@gmail.com
94% match
Loading thumbnail…

Activity_7.1-2

This area chart displays monthly website visitor counts, with a steel-blue filled region beneath a line tracing visitor numbers across months. The visualization uses a D3 v7 SVG rendering pipeline, employing `d3.area()` to generate the filled path, `d3.scalePoint()` for the categorical month axis, and `d3.scaleLinear()` for the visitor count axis. Data loads from a remote CSV via `d3.csv`, with axes rendered using `d3.axisBottom()` and `d3.axisLeft()`.

Nnvishalreddy8951@gmail.com
91% match
Loading thumbnail…

Activity7_Q2

This area chart tracks website visits by month throughout 2023, with the data loaded from a CSV file via `d3.csv`. The visualization uses `d3.area()` with a band scale for months and a linear scale for visit counts, rendered as an SVG path. Axes are created with `d3.axisBottom` and `d3.axisLeft`, and both the chart area and axis labels are styled with steelblue fill and explicit text annotations.

Aaravapalliharika2002@gmail.com
91% match
Loading thumbnail…

activity 7.2

This area chart displays monthly visitor numbers for a full year, with values rising from 1,000 in January to a peak of 2,700 in December. The visualization uses D3.js version 6 with an SVG rendering approach, employing `d3.area()` to generate the filled path, `d3.scalePoint()` for the categorical month axis, and `d3.scaleLinear()` for the visitor count axis. Axes are rendered with `d3.axisBottom()` and `d3.axisLeft()`, with rotated month labels and explicit axis titles. The chart includes a steel-blue fill and uses hardcoded sample data embedded in the script.

Jjureddyakshaya0601@gmail.com
88% match
Loading thumbnail…

activity 7.2

This area chart displays monthly visitor numbers for a full year, with values rising from 1,000 in January to a peak of 2,700 in December. The visualization uses D3.js version 6 with an SVG rendering approach, employing `d3.area()` to generate the filled path, `d3.scalePoint()` for the categorical month axis, and `d3.scaleLinear()` for the visitor count axis. Axes are rendered with `d3.axisBottom()` and `d3.axisLeft()`, with rotated month labels and explicit axis titles. The chart includes a steel-blue fill and uses hardcoded sample data embedded in the script.

Jjureddyakshaya0601@gmail.com
88% match
Loading thumbnail…

Activity_7.2

This area chart visualizes monthly visitor data, distinguishing total, new, and returning visitors with three semi-transparent overlays in blue, green, and red. The chart uses d3.area() to generate stacked paths from CSV data loaded via d3.csv, with d3.scaleBand and d3.scaleLinear mapping months and visitor counts. SVG axes, tick styling, and a legend clarify the values. The source CSV provides the monthly metrics, and all rendering occurs in SVG within a 1000×500 pixel canvas.

AAkhileshVadlakonda@my.unt.edu
88% match
Loading thumbnail…

activity7 Question 2

This example shows monthly visitor counts as a filled area chart, with the area colored in teal and labeled axes for month and visitor numbers. The code uses d3.csv to load data from a GitHub gist, then applies d3.scalePoint for the x-axis and d3.scaleLinear for the y-axis. It generates the area shape with d3.area and renders it as an SVG path, adding d3.axisBottom and d3.axisLeft for the chart axes.

MMahimaChowdaryKasthala@my.unt.edu
87% match
Loading thumbnail…

Activity7_Question2

This example shows website visit counts over time as a single steelblue area chart. It uses D3.js v7 with an SVG rendering approach, loading CSV data from a remote gist. The code applies `d3.timeParse` for date conversion, `d3.scaleTime` and `d3.scaleLinear` for axes, and `d3.area()` to generate the filled path. Axis labels and a six-tick time axis are added via `d3.axisBottom` and `d3.axisLeft`.

Kkandooriabhiram@gmail.com
87% match