EgorBrus

@EgorBrus·7 public vizzes

Belarus population by region

This example visualizes the population of Belarus’s six regions and Minsk city from 2001 to 2015 using multiple overlaid line charts. Each line represents a region’s population trend over time, with hover effects highlighting individual lines via a CSS stroke change. The visualization is built with D3.js v3, using `d3.svg.line()` and `d3.time.scale()` for the time axis, and `d3.csv` to load the population data from a CSV file. The y-axis scales population in thousands, and the data originates from the National statistics committee of the Republic of Belarus.

Apr 27, 2015

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Registered crime cases in Belarus vs. population by region (2013)

The scatterplot displays registered crime cases against population for seven regions of Belarus in 2013, with each circle representing a region and its size fixed after an animated transition. The visualization uses d3.v3 with SVG rendering, employing linear scales for both axes and SVG axes with gridlines. Data is loaded from a CSV file, and circles animate from a radius of 0.1 to 8 pixels over two seconds, with hover tooltips via SVG title elements. The chart sources population and crime statistics from the National statistics committee of Belarus.

Apr 21, 2015

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Belarus population by region

A horizontal bar chart displays Belarus's regional populations in thousands, sorted from largest (Minsk at 1921.8) to smallest (Grodno region at 1054.9). Built with D3 v3, it uses `d3.scale.linear` and `d3.scale.ordinal` for positioning, plus SVG axes via `d3.svg.axis`. Population data comes from a CSV file sourced from Belarus's national statistics committee. Hovering over a bar reveals a tooltip with the exact value via an appended `title` element. The bars use `d3.descending` sorting and a light gray fill.

Apr 12, 2015

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Belarus population by region

The visualization plots Belarus’s regional populations as horizontally sorted bars, ordered from largest to smallest. It uses D3 v3 on an SVG canvas, loading a CSV file to render each region as a `<rect>` and `<text>` element. A hover state adjusts opacity, and a tooltip title provides each region’s absolute population figure; data comes from the National statistics committee of Belarus.

Apr 3, 2015

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Belarus population by region

A choropleth map of Belarus displays population counts for seven regions, with Minsk city and the Brest, Gomel, Minsk, Vitebsk, Mogilev, and Grodno regions colored in shades of teal. Each region is drawn as an SVG path using the `d` attribute, and the map loads population data from a CSV file via `d3.csv` to log the parsed JSON array to the console. The D3.js v3 library provides the data loading functionality, while the map itself is rendered as static SVG with no interactivity.

Mar 29, 2015

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Lasagna PT - aggregated data

The chart shows the top-3, top-2, and bottom-3 ratings, alongside the full distribution of hedonic-scale scores, for 32 sensory attributes (appearance, smell, taste, seasoning, etc.) of two lasagna product variants, with each attribute having separate results for product 1 and product 2. It also overlays the relative importance (Relaimpo) of each attribute. The data is loaded from a gist CSV and drawn using D3.js, likely with stacked bars or area segments per attribute, to compare both product variants and rating frequencies.

Mar 27, 2015

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Lasagna PT - data on individual level

This visualization displays raw survey responses from a product test for lasagna, focusing on individual respondent data from a gist source. It plots responses across numerous categorical and ordinal variables, with each point representing a single participant’s answer to specific questionnaire items. The chart uses a scatterplot approach to reveal patterns in consumer preferences and feedback. Data is rendered using the Canvas API with custom drawing logic for positioning and encoding respondent IDs and their corresponding attribute values. The visualization provides a granular view of the dataset without aggregation, highlighting distribution and outliers across the many survey columns.

Mar 27, 2015