Maps: Exploring unique record location data & features

You can map each record (row) in your dataset individually and analyze geographic trends across the records with Keshif.

To enable ( learn how), each record needs to include a unique location name (such as a country or state column) or a point coordinate (latitude-longitude columns).

Mapping a numeric attribute

To understand geographic trends of a numeric attribute (such as GDP of a country), choose the attribute using the color select options on the bottom-right corner of the record map.

Mapping with Time-series data

If the mapped numeric data is a time-series ( learn more), you can choose a specific time of data. Simply use the slider or the time select box on top.
For animated playback over time, click on the play triangle icon in time selection area.

Adjusting color scheme

To invert color scheme, click color invert icon in color selection box.
To switch between diverging and converging color themes, click color flip icon in color selection box.

Comparison with categorical selections

You can also analyze geographic trends by comparing categories of locations. 

Below, learn how to compare four income groups on the map with a single click.

Using and adjusting the point size on the map

When your data has point-location feature (lat-long), you can control the size of the circles by using the + / - icons to set overall size, and by assigning a numeric attribute to the point location, such as event size.

Selecting and Filtering Records by Their Location

  • Filtering: Change mouse mode to filter, click inside the map and drag mouse to define your regional filter.
  • Highlighting: Hold shift key, and drag the mouse to highlight records by location.
  • Comparing records on different locations: Once you highlight the records with shift key + dragging, shift+click to lock your selection and compare different record groups.
Filtering also works for for regional data. All the regions that partially stay inside the bounding box of your query will be selected.

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