Maps: Enabling mapping with Keshif
When you import a dataset with geographic features into Keshif, your first step for location analysis is to enable the maps for geographic features in your data.
Enabling Regional Maps
You can easily convert region names of administrative boundaries into rich Keshif maps, in four simple steps:
- Find the attribute that has regional names (such as "Country", "Municipality", "District", "Region", etc).
- Click "Derive" option.
- Select "Add map".
- Choose the corresponding administrative level option.
Keshif converts categorical data to regional maps using geo-naming standards, which are based on OpenStreetMap data on administrative boundaries. Variations and different language version can be detected as long as the names appear on the standards table.
The type of analysis and interaction options within the map depends on how the geographic feature appears in your dataset.
Aggregate Maps for Regions
In the Nobel Prize Winners dataset, "Birth Country" feature (column) of each winner (row) can group winners together. The corresponding data analysis will focus on distribution characteristics of the winners. For example, you can identify which countries have more winners over time, and in a specific prize category.
Record Maps for Regions
In the World development indicators dataset, each row is a unique country, and columns include per-country information such as GDP and population.
To add the map, use the derive option within the dataset attributes panel. Inserting such an attribute into dashboard will display each record, using list-view option by default.
The corresponding data analysis on the map will focus on characteristics of individual countries. For example, you can identify which countries have higher GDP-Per capita or lower urbanization.
Enabling Point Maps
When your data has "latitude" and "longitude" fields, Keshif can automatically create point-maps to show the geographic trends of your data. To help Keshif recognize the point locations, use Keshif's unique " Boost" feature, and confirm the point locations fields that Keshif detected.
In the example Volcanic eruptions dataset, the location of each eruption (row) is stored in two columns, called "Latitude" and "Longitude".
Note: Your data needs to include columns with name "latitude", "longitude", "lat", "long" and their variations for Keshif to automatically detect the point locations. If point data is not recognized, please check your column / attribute names in the dataset.
When you create a map, some of the categories or records may not be recognized to match their shapes. This can be because of typos in regional names, or because Keshif didn't recognize name variations. To see which categories or records could not be mapped, click the /!\ button in map navigation area.
The list of standard region names are noted here. If the missing place names are mis-spelled, please update your source data, and re-load the Keshif dashboard.
If you want to include alternative shapefiles, please contact us via email.