Sravan1888

@Sravan1888·14 public vizzes

Country Map - India

The map displays the states of India, and clicking a state zooms into that region to reveal its districts. Built with React and D3 v6, it uses `geoMercator` and `geoPath` to project and render GeoJSON features as SVG paths. A custom zoom transform, driven by `d3.zoom` and `transition().duration()`, animates the view, while TopoJSON source data is fetched via `d3.json` and processed with `topojson.feature`. The visualization demonstrates interactive state-to-district drill-down navigation.

Apr 5, 2022

Loading thumbnail…

Social Network Graph --> ICE-8

This example depicts a small social network of ten people and their friendships as a force-directed graph. It shows individuals as circles and connections as directed lines with arrowheads, with the relationship type described as "Friend with" for all links. The visualization is built using D3.js v6, employing `d3.forceSimulation` with link, charge, and collision forces to position nodes. Users can drag nodes to rearrange the layout, and hovering highlights a node with a thicker stroke. The data is loaded from a local `data.json` file and rendered using SVG elements.

Apr 5, 2022

Loading thumbnail…

Family Tree -> ICE-8

A family tree visualization renders hierarchical relationships among nine named individuals using an animated SVG tree layout. The code employs D3 v6 utilities `d3.stratify()` to convert flat parent-child data into a tree structure and `d3.tree().size()` to compute node positions. Each generation receives a distinct node color from a custom `setGeneration()` function, with paths animating via `transition().duration()` and text labels positioned using `attr('dx')` and `attr('dy')`.

Apr 5, 2022

Loading thumbnail…

World Map - ICE-8

This example displays a world map rendered in an SVG element using D3.js, projecting country boundaries with a yellow stroke against a blue background. It loads GeoJSON data from the world-atlas package and applies the geoNaturalEarth1 projection to create the map. The code uses d3.geoPath to convert the geographic coordinates into SVG paths, and topojson.feature to extract the country features from the dataset. The visualization shows the entire set of world countries as a static, full-frame map.

Apr 5, 2022

Loading thumbnail…

Bitcoin - Line Chart ICE-7 _Sravan

This example shows the price of Bitcoin over the past week, tracing a smooth, curved line across a time-based x-axis and a rate-based y-axis. The chart includes labeled axes, grid lines, and a title. Built with D3 v5, it loads CSV data from a GitHub gist and uses `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and a line generator with `curveBasis` to render an SVG line chart.

Mar 29, 2022

Loading thumbnail…

ICE - 7 Pie chart viz

This pie chart visualizes the percentage distribution of the top five countries with the most coronavirus cases. The data is loaded from a CSV file hosted on GitHub Gist. Built with D3.js v5, the visualization uses `d3.pie` to compute arc segments, `d3.arc` to generate the sector paths, and `d3.scaleOrdinal` for color mapping. Each sector is labeled with its percentage, and a legend displays the country names and corresponding values. The SVG canvas is 960 by 460 pixels, with the chart centered and styled via external CSS.

Mar 29, 2022

Loading thumbnail…

ICE7 - Reusable Scatter Plot

This interactive scatter plot visualizes the Iris dataset, cycling through different flower measurements on the x-axis while showing petal length on the y-axis. It uses D3 v6 with SVG rendering and animation via `setInterval`. The visualization emphasizes reusability by constructing a configurable `scatterPlot` chart, and includes color-coded species legends. Data is loaded from a CSV URL and parsed with `d3.csv`.

Mar 29, 2022

Loading thumbnail…

Bitcoin - Area Chart ICE-7 _Sravan

This area chart displays the Bitcoin rate over the last week, using a smooth, filled curve to emphasize the trend in value changes over time. The visualization is built with D3 v5, utilizing the `area` generator with a basis curve to create the filled shape. Data is loaded from a CSV file and parsed for timestamp and bitcoin value fields. The chart includes labeled axes with grid lines, and the area itself is filled with a solid blue color.

Mar 29, 2022

Loading thumbnail…

Untitled

A smiley face chart built with React and D3.js (v2) visualizes sales data as animated, drop-shadowed bars. The bar chart maps categorical x-axis values to ordinal scales and y-axis values to linear scales, rendering SVG rectangles with D3’s selection and mutation APIs. Tooltip-like captions are applied via axis tick formatting, and the animation and styling use D3’s SVG, scale, and axis components, with data fetched through a chart transformation function.

Mar 12, 2022

Loading thumbnail…

Untitled

This visualization displays two sets of three-dimensional scatterplot data as grouped point clouds, with one trace rendered in warm red tones and the other in neutral gray. Built using Plotly.js within an HTML page, the code loads a CSV dataset from a GitHub repository via the D3.js `d3.csv` function, then maps columns to x, y, and z coordinates. The markers use a fixed size of 12, partial opacity, and custom line colors, while the plot layout strips all margins for a clean, full-frame view.

Mar 12, 2022

Loading thumbnail…

Untitled

This example shows a 3D scatter plot with two groups of points rendered as floating markers in space. The visualization uses Plotly’s `scatter3d` traces, with the first trace having semi-transparent markers and the second using solid gray circles. Data is loaded from a remote CSV file via D3’s `d3.csv`, and the layout margins are set to zero to maximize the plot area. The chart is rendered inside a single `div` using `Plotly.newPlot`, with marker size, opacity, and line styling defined per trace.

Mar 12, 2022

Loading thumbnail…

Data Visualization - ICE-6 - Bar chart

This bar chart displays the total revenue, in millions of dollars, of the world’s top 10 highest-earning athletes, with each bar labeled by the athlete’s name along the vertical axis. The visualization uses React to render an SVG and D3’s `scaleBand`, `scaleLinear`, and `csv` to load and map the data from a remote CSV file. Axes are custom-drawn using D3’s `ticks()` method, with manual positioning of tick labels and lines, while the chart itself highlights red bars with blue text and a red axis grid.

Mar 8, 2022

Loading thumbnail…

Data Visualization - ICE-6 Scatter Plot Graph

This scatter plot visualizes the Iris flower dataset, showing the relationship between petal length and petal width as the primary axes, with each point colored by species (setosa in yellow, versicolor in blue, virginica in red). The graph uses D3 v6 with SVG rendering, employing `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scales and axes, while circles are positioned using `cx` and `cy` attributes. The data is loaded as CSV and parsed with numeric conversions, with margins and a full-window responsive layout.

Mar 8, 2022

Loading thumbnail…

ICE-5: Welcome to ICE-5 Data visualization

This example displays a web page titled "ICE-5: Welcome to ICE-5 Data visualization" that uses D3.js to fetch and summarize a CSV dataset of the Top 100 actors. It renders a cyan-styled `<pre>` element reporting the approximate file size in kilobytes, the number of rows, and the column count, alongside a static SVG image. The code leverages the `d3.csv` and `d3.csvFormat` APIs to load and measure the remote data, providing a simple, non-interactive overview of the dataset's structure.

Feb 26, 2022