Map-based visualizations are useful for showing spatial patterns, trends, and relationships in data. For example, you can use JavaScript libraries like Leaflet, Mapbox, or D3 to create interactive ...

Example code here accompanies my article on CSS tricks which is an extract from my book Data Wrangling with JavaScript. Working Node.js example that uses headless browser Nightmare/Electron to capture ...

R is a popular programming language for statistical analysis and data science. It has a rich ecosystem of packages and libraries that allow you to create various types of data visualizations, from ...

Processing.js, the JavaScript version of an initially ... which drops you into a treasure trove of sample D3 visualizations. Many of the gallery’s examples are accompanied by commentary, as ...

Data visualization is an important part of telling ... 4 // This will be mapped to the y-axis } For example, to show the total number of babies counted in the data set by year, we’ll need ...

Visualizations provided as examples here are a community supported effort. Looker's support team does not troubleshoot issues relating to these example visualizations or your custom visualization code ...

These open-source JavaScript libraries can ... robust online visualizations. Drawbacks: Visualization options are fairly limited so far — for example, the choropleth maps widget only handles ...

Developers could already write their own complex scripts with Visual Basic for Applications (VBA). There are some advantages to using JavaScript, though, not in the least its popularity and ...

Despite the powerful customization ability, declarative programming requires users to create charts from scratch, thus building a well-designed visualization is an effort-consuming process. In this ...