UW Interactive Data Lab is announcing that Datalib with version number 1.4.3 is already available to download.
What is Datalib ?
Datalib is A JavaScript library for interpreting and processing data structures, helping with summaries, statistics, data visualizations, and many other similar tasks .
Datalib is a low-level JavaScript library that can read data in a variety of formats and then process it, making it available for other applications like visualization toolkits, datagrids, charting libraries, and so on.The library doesn’t have any external dependencies, is well documented and can handle operations like loading and parsing the data files, generating statistics from the information found inside them, using the data in templates, filtering large structures, and utilizing the data in JavaScript objects or arrays.Type checking, conversion, and inference is supported, along with the following statistical operations:- quantitative bins- number of non-null values- number of distinct values- number of null values- unique values and associated counts- medians- quantiles- histograms- sample variances- sample standard deviations- min/max- dot product- ascending rank scores- product-moment correlation- Pearson mode skewness- Shannon entropy- Spearman rank correlation- distance correlation- vector distance- mean-centered distance matrixDatalib was created to power Vega and can currently work with both client-side (browsers) and server-side (Node.js) environments.
This is changelog for Datalib version 1.4.3 :
- Updated type inference.
You can read the complete changelog and also download this latest version on their homepage: vega.github.io