Skip to main content
SimilarExport ZIP
100%

Activity-7_Question-2

✓ Published0🌍 Public
Hhoneyravuri.711@gmail.com
Last edited Apr 11, 2025
Created on Apr 11, 2025
Forked from Hello VizHub

This chart displays course enrollment trends across different categories over time, with sequential area layers that stack to show the total enrollment distribution. The visualization uses an HTML5 canvas rendered through JavaScript with the D3.js library, where the x-axis represents time and the y-axis encodes enrollment counts. The data is loaded from a CSV file, and the chart applies a categorical color scheme to distinguish each enrollment category. The area chart is constructed using stacked polygon paths, with mouseover tooltips highlighting specific data points for detailed inspection.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

activity7_question2

This example shows a stacked area chart of course enrollment by category (Technology, Business, Design) over time, where the colored regions represent the number of students enrolled in each category per year. The chart is rendered as an SVG using D3 v7, with `d3.csv` loading the data from a GitHub gist, `d3.area` generating the stacked paths, and `d3.scaleLinear` mapping the year and enrollment values. Axes are added via `d3.axisBottom` and `d3.axisLeft`, with a legend and axis labels included.

Hhoneyravuri.711@gmail.com
85% match
Loading thumbnail…

Activity_6 Question 2

This stacked bar chart displays student enrollment counts across four courses (Engineering, Business, Medical, Arts) for the years 2000, 2021, 2022, and 2023, using data from a local CSV file. The visualization, rendered as an SVG, uses D3 v7 APIs including `d3.stack`, `d3.scaleBand`, `d3.scaleLinear`, and `d3.axisBottom` to create the horizontal bars. A custom tooltip, styled via CSS, reveals the specific category and sales value when hovering over a segment. The chart includes labeled axes and a legend positioned to the right.

Ssumithdugyala@my.unt.edu
78% match
Loading thumbnail…

Activity_7_Q2(11807290)

This area chart shows population trends across continents from 2000 to 2020, with each continent represented as a stacked colored layer. The visualization uses d3.stack() to aggregate population data by year and continent, and d3.area() to render the stacked layers as SVG paths. Axes are generated with d3.axisLeft() and d3.axisBottom(), while colors are assigned via d3.scaleOrdinal() with d3.schemeCategory10. Data is loaded asynchronously from a remote CSV using d3.csv, and a custom legend identifies each continent.

Cchowdaryhemanth14@gmail.com
75% match
Loading thumbnail…

Activity 7.1_Question 5

This example visualizes the number of US students in a university from 2000–08, combining an area chart with an overlaid line chart to emphasize both the trend and cumulative magnitude of student counts over time. The visualization uses D3 v5 APIs, including `scaleLinear` for axes, `line` and `area` generators with `curveBasis` for smooth curves, and `axisBottom`/`axisLeft` for labeled axes. Data is loaded via `csv` from an external GitHub Gist, and rendering uses SVG elements with styled paths for the line and area.

Aakhilasannayila@gmail.com
75% match
Loading thumbnail…

question-2

This area chart visualizes the distribution of student counts across total marks. The chart uses a green gradient fill beneath the line to emphasize the area under the curve, with labeled axes for "Total Marks" and "no_of_Students." The visualization is built with D3 v7, loading CSV data from a GitHub gist, parsing it with `d3.csv`, and scaling the x and y axes with `d3.scaleLinear`. The area path is generated using the `d3.area` function, and a custom `linearGradient` is defined and applied to the SVG path.

RRJVENKATESH789@GMAIL.COM
75% match
Loading thumbnail…

Activity 7 Q2

This area chart visualizes the relationship between students and their total marks, with a gradient-filled region under the line emphasizing the distribution. The code loads a CSV dataset via `d3.csv`, parses the numeric fields, and renders the chart using SVG elements. It constructs linear scales with `d3.scaleLinear` for both axes, generates the area path with `d3.area`, and applies a custom `linearGradient` for the fill. Axis labels clarify the plot’s dimensions, and the chart is styled with the supplied CSS.

Bbhavanadupati3@gmail.com
75% match
Loading thumbnail…

Activity6_q2

A stacked bar chart displays student enrollment across five engineering departments, with each bar segmented into Undergraduate, Postgraduate, and PhD counts. The visualization uses d3.csv to load the dataset, d3.stack() to compute stacked series, and d3.scaleBand/d3.scaleLinear for axes. Color encoding distinguishes academic levels via d3.scaleOrdinal, while SVG rectangles render the bars. The chart includes labeled axes for Department and Number of Students.

Vvidyagangasani@my.unt.edu
75% match
Loading thumbnail…

Bar Graph

This horizontal bar chart displays student enrollment counts for nine university courses, ranging from 20 to 85 students. Green rectangles represent enrollment figures on a linear scale, with subject names labeled along the y-axis. The visualization is drawn as an SVG using D3 v7, employing scaleLinear for the x-axis, scaleBand for categorizing the y-axis, and axisLeft/axisBottom for generating tick marks. Data loads from a CSV file containing course names and enrollment numbers, with the subject labels rotated vertically on the left.

PPavaniMangugari
74% match