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.

Enabling mapping

The first step for location analytics is enabling automated maps for location data.

Read on to learn how.

Exploring location data with record aggregation

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.

Exploring unique record location data & features

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.

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