Skip to main content
SimilarExport ZIP
100%

Number of Data Science Classes by MIT Department

✓ Published0🌍 Public
WWai Kit Tsang
Last edited Jul 6, 2020
Created on Jul 6, 2020

This bar chart shows the number of data science classes offered by the top five MIT departments, with Course 15 highlighted in red and the rest in black. The data, sourced from MIT’s course catalog, is loaded from a CSV file and rendered as SVG rectangles using d3.scaleLinear and d3.scaleBand. Axes are generated with d3.axisLeft and d3.axisBottom, while d3.csv parses the dataset. The chart emphasizes departmental differences in course offerings.

AI-generated description

This bar chart shows the number of data science classes offered by the top 5 MIT department who offer the most classes. This data comes from MIT's course offering website.

MIT Licensed

Similar vizzes

Loading thumbnail…

Number of Data Science Classes by MIT Department

This bar chart displays the number of data science classes offered by the top five MIT departments, using data from MIT’s course catalog. It employs d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis, with SVG rectangles drawn via D3 selections. The Course 15 bar is highlighted in red, while others render in black, and axes are generated using d3.axisLeft and d3.axisBottom.

Ssam-leb
98% match
Loading thumbnail…

Number of Data Science Classes by MIT Department

This bar chart displays the number of data science classes offered by the five MIT departments with the most courses, based on data from MIT’s course catalog. The visualization uses d3.scaleLinear and d3.scaleBand to map class counts and department names, with axes rendered via d3.axisLeft and d3.axisBottom. Bars are drawn as SVG rectangles, with Course 15 highlighted in red and others in black. Data is loaded asynchronously from a CSV file using d3.csv.

Kkiyahw1
97% match
Loading thumbnail…

Stage of Study(No of students in each Department)

This interactive bar chart displays the number of students per module code across three departments, with a dropdown menu to filter by CSIS, CAM, or GAV. The visualization uses React with D3 v5's `scaleBand` and `scaleLinear` to render SVG rectangles, sorting modules by student count and showing the top 50. Data is loaded via `d3.csv` from a GitHub-hosted dataset, with nested rollup aggregation counting student records per module.

KKeerthiKandadai
65% match
Loading thumbnail…

home dept top 5

This visualization shows the number of proposals for primary departments (ENG, DSI, GEU, A&S, MED) across different years, with each year selectable via clickable buttons. A horizontal bar chart displays the top five departments, and hovering over bars triggers an opacity change. The chart uses d3.scaleLinear and d3.scaleBand for axes, with data embedded as CSV strings in the code. The visualization is rendered as SVG with a pink-to-palevioletred color scheme for year selection.

Ttracy3057
65% match
Loading thumbnail…

Fork of bar chart

This visualization shows the average math scores of students grouped by their academic department, using a simple bar chart to compare performance across Computer Science, Mathematics, Physics, Chemistry, and Biology. The chart is built with D3 v7 and rendered as SVG, loading student data from a CSV file and aggregating it with d3.group and d3.mean. The visualization uses d3.scaleBand for the categorical x-axis and d3.scaleLinear for the continuous y-axis, with bars styled in steelblue that turn orange on hover. Rotated x-axis labels and axis labels generated with d3.axisBottom and d3.axisLeft make the departments readable.

Ssainishanthreddyk@gmail.com
64% match
Loading thumbnail…

Filterable Cocktail Ingredient Bar Chart

This visualization displays the number of students enrolled in the top 50 university modules, ranked by student count. A dropdown menu filters the bar chart by department (CSIS, CAM, GAV). The chart uses React with D3 v5 scales (`d3.scaleBand` for categories, `d3.scaleLinear` for values), data nesting via `d3.nest`, and renders SVG bars with tooltips showing exact counts. Data is loaded asynchronously from a remote CSV file using `d3.csv`.

WW9183907
63% match
Loading thumbnail…

Filterable Cocktail Ingredient Bar Chart

A filterable bar chart shows the number of students enrolled in the top 50 courses at a university, ranked by enrollment. A dropdown menu lets the user filter the data by department (CSIS, CAM, or GAV), which updates the chart to only display courses from that department. The visualization is built with React and D3 v5, using D3's `scaleBand` for the categorical y-axis, `scaleLinear` for the numerical x-axis, and SVG `rect` elements to render the bars. Data is loaded asynchronously from a CSV file using D3's `csv` function, and the selection handler updates the state to re-filter and re-sort the displayed bars.

IIyke2909
63% match
Loading thumbnail…

bar chart

A bar chart visualizes the average math scores of students, grouped by their academic department. The chart uses steelblue bars that change to orange on hover, with a y-axis displaying the average score and an x-axis listing the departments. Constructed with the D3.js library, the visualization loads data from a local CSV file, processes it to compute group means, and renders the SVG using d3.scaleBand for the categorical axis and d3.scaleLinear for the numerical axis.

Ssainishanthreddyk@gmail.com
63% match