Maps: Exploring location data with Keshif - Intro
You can create automated, interactive, dynamically queryable maps to visually explore geographic data in seconds with Keshif.
Keshif maps support both point (latitude-longitude) and regional (boundary) location data.
The first step for location analytics is enabling automated maps for location data.
Read on to learn how.
If the dataset has a column describing the "Birth Country" of people (for example, Nobel winners), you can analyze the country information to identify number of people (winners) per country. Keshif will automatically create a rich map that shows the number of the winners across all countries.
If the dataset is a list of countries, with columns describing data per country (such as population or GDP per capita), each record (country) identifies a unique location.
With automated Keshif maps, you can geographically analyze all countries, or regions in data, by their various numeric, categorical, or even time-series features.
You can read an overview of other chart types in Keshif in our blog.