ICE-7-Assignmnet-7- Area Chart

ICE-7-Assignment-7- Line Chart

This visualization shows the average US housing price rising steadily from 2010 to 2022, from $220,000 to $460,000, using a line chart with circular markers on each data point. The chart is built with D3.js v6, rendering to SVG, and uses `d3.line` to generate the path, `d3.scaleLinear` for both axes, and `d3.axisBottom`/`d3.axisLeft` for tick marks. Data is hardcoded as an array of year-and-price objects, with axis labels added as SVG text elements.

91% match

ICE-7-Assignment-7

This scatter plot visualizes the relationship between average housing prices and square footage across 50 randomly generated data points. The visualization uses a blue circle for each data point, positioned along the X-axis for average price and the Y-axis for average square footage. The code constructs the chart using D3.js version 6, employing `d3.scaleLinear` for axis scaling, `d3.axisBottom` and `d3.axisLeft` for tick marks, and `d3.select`/`d3.append` for SVG element creation. Axis labels are added to clarify the data dimensions.

84% match

ICE-7 Area Chart

This area chart visualizes the change in house prices over time, with cost on the y-axis and year on the x-axis. The chart uses a smooth line and a filled area beneath it to emphasize the price trend. The SVG rendering is built with D3 v5, using `scaleTime` and `scaleLinear` for the axes, and `area` and `line` generators with `curveBasis` to create the smoothed path. Data is loaded from a CSV file into the chart.

KKovvuri Supraj

83% match

ICE Assignment-6

A scatter plot displays the relationship between the number of housing sales and their average price across the United States. Each red circle represents a data point from a CSV file loaded via `d3.csv`. The visualization uses `d3.scaleLinear` for both axes, `d3.axisBottom` and `d3.axisLeft` for tick marks, and SVG circles rendered with `d3.selectAll` and `.enter()`. Titles and axis labels are added as SVG text elements, with the chart styled using a white background and rounded corners.

81% match

Aachyutanandmishra17@gmail.com

ICE-7 Line Chart

This example shows the average home cost over time as an orange line chart, with years on the x-axis and price on the y-axis, including axis labels and a title. It uses React with D3 v5 to load CSV data from a GitHub gist, parse the year and cost fields, and render the visualization as SVG. The code applies `scaleTime` and `scaleLinear` for scaling, `axisBottom` and `axisLeft` for the axes, and a `line` generator to draw the path, with green gridlines and a blue title.

ICE_7-Assignment-7_ scatter plot

This animated scatter plot explores relationships among US housing market variables, cycling through three attribute pairs every two seconds: average price versus number of sales, then number of sales versus average square footage, and so on. A D3 selection updates the x-scale domain and circle positions via the reusable scatterPlot component. The visualization uses d3-scale’s scaleLinear and extent, d3-axis for labeled axes, and d3-selection for SVG circle joins. Data comes from a CSV file loaded with d3.csv, rendered as an SVG filling the viewport. The code embeds a setInterval timer to swap the x-value accessor, demonstrating dynamic axis rescaling.

ice7_task3

An area chart displays the average car price per year, drawn as a smooth steel-blue filled region with an overlaid line and dots for readability. It uses D3 v7 with SVG rendering, grouping a CSV dataset of cars by `Year` and computing the mean `Price` via `d3.rollups`. Scales (`d3.scaleLinear`), axes (`d3.axisBottom`, `d3.axisLeft`), and generators (`d3.area` with `d3.curveMonotoneX`) structure the visualization, with axes labeled for year and average price in USD.

Kkmohithkumar7@gmail.com

ICE-7 Area

This area chart visualizes sample sales data from 2010 to 2022, with the x-axis representing years and the y-axis showing sales figures. The chart uses a smooth curve to fill the area beneath the sales trend line, rendering in SVG via D3 v5. It employs `d3.scaleTime` and `d3.scaleLinear` for axes, `d3.area` with `curveBasis` for the filled region, and `d3.axisBottom` and `d3.axisLeft` for labeled ticks. Data is loaded as CSV from a GitHub gist.

Ddheeraj1509