Learn about Statistics

Telling a Data Story

The Washington State Data Exchange for Public Safety will offer more than the standardization and centralization of statewide police use-of-force data.
A series of five images using Legos to illustrate different stages of data use. 1. Data collection is a pile of lose blocks. 2. Data preparation is the pile sorted into colors. 3. Data visualization is charts and graphs made from the blocks. 4. Data analysis shows pieces of a house, each build with block. 5. Data storytelling is the house put together.
Our goal is to help all dashboard users—individuals, agency leaders, legislators, and researchers alike—expand their understanding of the data and derive meaningful insights.

Tutorials

WADEPS is developing educational resources in collaboration with the WSU Center for Interdisciplinary Statistical Education and Research (CISER).

Whether you have little or no experience with statistics or are skilled data-driven criminal justice researcher, CISER’s knowledgeable experts will be available to answer your questions.

The statistical analysis team will also provide professional consultations on the WADEPS data and explain various data analysis techniques.

These services are supported by the legislative funding provided for WADEPS and are free to the public and law enforcement agencies.

Coming Soon!

CISER experts are developing text- and video-based tutorials for a wide range of dashboard users, from beginner to advanced.

Topics will include learning how to gain insights on incidents, force types, resistance types, and officer or agency characteristics.

Additionally, open-source algorithms and machine-learning code developed by the WADEPS team will be available for data scientists, criminal justice researchers, and other statistical professionals through the WADEPS GitHub account. Resources will be posted as they are available.

More about CISER

CISER provides consultation and statistical analysis services to help WSU researchers and collaborators in a wide variety of fields improve data-collection protocols and discover meaningful insights from research studies.

Working with WADEPS, CISER’s goal is “to provide efficient methods for finding patterns and analyzing time series data with multi-modal inputs (text and numerical) and using topological data analysis and other modern machine learning techniques. CISER also aims to develop mathematical guarantees for the quality of the insights found from the data, further enhancing our understanding of police-related data and providing tools for multiple stakeholders to derive meaningful insights.”