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Statistics and maps in Strix ​

Strix provides powerful tools for visualizing and analyzing data through Statistics and Maps. These features help you uncover patterns, trends, and relationships in your datasets.

Statistics: Analyze metadata attributes ​

The Statistics section allows you to explore metadata attributes and their elements, showing how many documents in a collection belong to a particular category.

How to use statistics ​

  1. Navigate to the Statistics tab in the Strix interface.
  2. On the left side, select a metadata attribute (e.g., "Text Classification (Blingbring)" or "Year").
  3. On the right side, view the frequency of each element in the selected attribute across your chosen collections.

Example: Analyze year distribution ​

  • Select the Year attribute from the metadata list.
  • View the table on the right to see how many documents were published in each year.
  • Click on a specific year (e.g., 1920) to view all documents from that year.

Interactive features:

  • Filter the table: Use the search box to narrow down results.
  • Click on elements: Click on a metadata element (e.g., a specific year or topic) to view related documents.

Maps: Visualize geo-locations ​

The Maps section enables you to explore geographical data associated with your documents. Geo-locations mentioned in the documents are plotted on an interactive map.

How to use maps ​

  1. Navigate to the Maps tab in the Strix interface.
  2. Select one or more collections to display geo-locations from those datasets.
  3. Interact with the map:
    • Click on points: View detailed information about the documents mentioning a specific geo-location.
    • Zoom in/out: Explore clusters of geo-locations or focus on individual points.

Example: Explore geo-locations in political documents ​

  • Select the Swedish party programs and election manifestos corpus.
  • View the map to see locations mentioned in political manifestos.
  • Click on a location (e.g., "Stockholm") to see all documents referencing it.

Interactive features:

  • Clusters: Large datasets like Wikipedia are grouped into clusters for easier navigation. Zoom in to break clusters into individual points.
  • Document links: Click on a geo-location to open a list of related documents.

Why use statistics and maps? ​

  • Statistics: Helps you analyze the distribution of metadata attributes, such as publication years, topics, or sentiment labels.
  • Maps: Provides a spatial perspective, enabling you to explore geographical patterns and relationships in your data.

These tools make it easier to uncover insights and gain a deeper understanding of your datasets.

Start exploring Statistics and Maps in Strix to unlock the full potential of your data!