ICE -7 AreaChart

ICE-7 LineChart

This line chart visualizes the relationship between total marks and student counts using a simple SVG-based line graph. The chart employs D3.js v7 with linear scales for both axes, rendering the data as a steelblue line with labeled axes and grid-free styling. It loads CSV data from a GitHub gist containing US Airline Traffic information, though the axis labels indicate educational metrics. The visualization demonstrates d3.csv for data loading, d3.scaleLinear for coordinate mapping, d3.line for path generation, and d3.axisBottom/axisLeft for tick marks.

87% match

Fork of Fork of ICE 7 Area Chart 11515092

This area chart visualizes student records, plotting Results over Maths scores using a smooth basis curve. The SVG rendering uses D3 v5 APIs including `scaleTime`, `scaleLinear`, `axisLeft`, `axisBottom`, `line`, and `area` generators. Data is loaded from a CSV file via `d3.csv` and parsed with `d3.timeParse` to handle date formatting. The chart features orange-filled areas beneath black lines, with labeled axes and rotated y-axis text, all styled through an external CSS file.

NNaimisha-M

84% match

ICE-7 Line Chart

The ICE-7 Line Chart visualizes the relationship between study hours and average total marks, using a single red line to trace the trend across categorical study-hour values. The chart displays axes with labeled ticks and a linear scale for marks, while the x-axis uses a band scale for study hours. Built with D3 v7, the code loads CSV data via `d3.csv`, applies `scaleLinear` and `scaleBand` for positioning, and renders the line using `d3.line` with SVG paths. The visualization is rendered entirely in SVG, with axes generated by `axisBottom` and `axisLeft`.

84% match

ICE- 7 Line Chart

This line chart shows the relationship between study hours and average total marks, with a single line tracing how marks change as study time increases. The chart uses D3.js v7 to load CSV data from a GitHub gist and render an SVG visualization, employing `d3.line()` to generate the path and `d3.scaleLinear()` for both the x- and y-axes. The data, which includes fields for StudyHours and AverageTotalMarks, is fetched asynchronously via `d3.csv()` and converted to numeric values before plotting. Axes are appended using `d3.axisBottom()` and `d3.axisLeft()`, with the line styled as a steelblue stroke without markers.

83% match

ICE-7 AREA CHART

This area chart visualizes population trends across years, combining a blue line path with a yellow filled area beneath it, all rendered as SVG elements. The chart uses D3 v5 scales, including `scaleTime` for the x-axis and `scaleLinear` for the y-axis, with axes generated via `axisBottom` and `axisLeft`. Both line and area generators apply `curveBasis` smoothing, while data is loaded from a CSV file and parsed with `d3.timeParse`. Axis ticks are customized with red text and gridlines, and the y-axis label is rotated using an SVG transform.

IIndhuKrishnaraj

ice7

This stacked area chart displays the distribution of educational degrees conferred in seven fields over time, with the x-axis representing years and the y-axis showing counts up to 200,000. It uses d3.stack() to layer the data, d3.area() and d3.scaleTime() to render the paths, and d3.scaleOrdinal() for the color palette. The visualization loads CSV data from a GitHub gist, draws SVG elements, and includes custom axis labels, with a legend implied by the colored layers.

SSnarasimhap

ICE-6 Student Marks BarChart

This example visualizes student marks as a bar chart using React and D3. It shows the total marks for each student, with bars encoded by height on a linear scale and names on a band scale. The code fetches CSV data from a remote URL, parses it, and renders an SVG with rectangular bars using `scaleBand` and `scaleLinear`. It leverages React’s `useState` and `useEffect` for data loading, and D3’s `axisBottom` and `axisLeft` for axes. The chart uses a green fill for bars and includes margins and a title, with no interactive or animated behavior.

ICE 6: Scientific Data Visualization

This example visualizes the total marks of 17 students in a semester as a horizontal bar chart. The SVG rendering uses React and D3 v5, with data loaded from a CSV file via `d3.csv`. Scales include `scaleBand` for student names on the y-axis and `scaleLinear` for marks on the x-axis, while `xScale.ticks()` generates gridlines, and colored rectangles represent each student’s score.

Nnagarajuobbineni