Skip to main content
SimilarExport ZIP
100%

Student Perfomance

✓ Published2🌍 Public
ZZG
Last edited Sep 23, 2020
Created on Sep 16, 2020

This bar chart visualizes the distribution of student test preparation course completion (completed or not) across different race/ethnicity groups. It aggregates student counts per race/ethnicity and preparation status, with color encoding distinguishing the two course-completion categories and tooltips revealing exact counts. The visualization is built using the Vega-Lite API, which compiles specifications to Vega for rendering in SVG, while D3 handles CSV data loading from a GitHub Gist. The chart’s appearance is customized through a config object that adjusts axis styling and label fonts.

AI-generated description

This bar chart visualization shows the test preparation course (completed/not) distribution along with different race/ethnicity.

A visualization constructed using the vega-lite-api.

See Data on Gist: Student Performance Data

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Student Perfomance

This bar chart shows the distribution of students by race/ethnicity and test preparation course completion, with the y-axis counting total students and color encoding whether the course was completed. The visualization uses the Vega-Lite API with D3.js, retrieving data from a CSV hosted on GitHub Gist. A bar chart is rendered by grouping records by race/ethnicity and test preparation status, with tooltips revealing exact counts for each group. The chart’s appearance is customized through a config file that adjusts axis styles and label colors.

NNarayana Reddy
93% match
Loading thumbnail…

Student Perfomance

The chart shows the distribution of student performance by race/ethnicity, with bars grouped and colored by parental level of education. It uses vega-lite-api to construct a bar mark, transforms data via vl.groupby and vl.count to aggregate counts, and encodes race/ethnicity on the x-axis, student count on the y-axis, and education level as color. Data is loaded asynchronously from a CSV using d3.csv, with vega-tooltip for interactivity.

ZZG
89% match
Loading thumbnail…

Fork of Fork of Vega-Lite API Template

This visualization displays student performance across five test attempts, breaking down questions into four categories based on correctness and confidence level. The bar chart uses color to distinguish between correct strong, correct weak, incorrect strong, and incorrect weak responses, while the x-axis orders test numbers by their totals. The visualization is built with the Vega-Lite API, which configures the bar marks, scales, and tooltips, while D3’s CSV loader is present for data fetching. The data is hardcoded in the script, representing fictional assessment results rather than an external dataset.

JJeyasuriya M
74% match
Loading thumbnail…

Student Performance

This visualization compares student performance in math and reading scores, colored by gender, with tooltips revealing parental level of education. Each point represents an individual student from the Kaggle dataset, plotted without a zero baseline to emphasize score distribution. The chart is built using Vega-Lite API within a D3.js v5 framework, loading CSV data via d3.csv and rendering as an SVG with custom configuration for axis styling and tooltip formatting.

Ssamemurk21
73% match
Loading thumbnail…

Student Scores Bar Chart

This bar chart displays the scores of twelve students, with each horizontal bar representing an individual’s score from 10 to 99. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and SVG `rect` elements with a hover effect that reduces opacity. Data is loaded from an external CSV file via `d3.csv`, and axes are generated using `axisLeft` and `axisBottom`.

Pprudhvi
70% match
Loading thumbnail…

Fork of Student Scores Bar Chart

This bar chart visualizes student scores as horizontal bars, with each bar’s length representing a score value. The chart is rendered as an SVG using D3 v5, employing `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis. It loads data from a CSV file and applies an axis layout. The bars are styled purple and become semi-transparent on hover via CSS.

Ppemmasaniprudhvinadh
70% match
Loading thumbnail…

Activity-6 Task-3 Question3.6

This example shows a scatter plot of student performance, comparing math scores against reading scores. Each circle represents a student, and color encodes the student’s race/ethnicity, grouped into three categories (Group A & B, Group C, Group D & E). The visualization uses D3 v6 to load CSV data from a GitHub repository, then renders SVG circles with `scaleLinear` axes for both scores. A legend identifies the three color groups, and axis labels are added via `axisLeft` and `axisBottom`, with text elements placed for the x- and y-axis titles.

Bbhargavireddy4016@gmail.com
70% match
Loading thumbnail…

STUD#

A bar chart displays the educational results of a single student, Matilda Lang, across 74 courses, with bars colored by subject category (e.g., English, Science, Languages). The x-axis encodes the EDU_RESULT score from 0 to 100, while the y-axis lists course rows. Using D3 v5, the code loads data via `d3.csv`, scales with `scaleLinear` and `scaleBand`, and renders SVG rectangles with axes generated by `axisLeft` and `axisBottom`. The visualization highlights which subjects have measurable outcomes versus zero results.

Mmarkvanlaar2221
70% match