Substrand B1

Organization & Processing

In order for data to be useful for analysis and visualization, it often needs to be organized and formatted in particular ways. Organization can include both procedural cleaning up of errors or mistakes and processing or transforming the data through calculations and logic statements to create new or summative measures.

Substrand B1

Organization & Processing

Concept B.1.1

Data cleaning

Identify and address data quality issues to ensure accuracy and reliability, progressing from simple error identification to using systematic approaches.

Concept B.1.1

Data cleaning

Identify and address data quality issues to ensure accuracy and reliability, progressing from simple error identification to using systematic approaches.

Concept B.1.2

Organizing & structure

Organize raw data into structured formats using categories, tables, and systematic recording methods.

Concept B.1.2

Organizing & structure

Organize raw data into structured formats using categories, tables, and systematic recording methods.

Concept B.1.3

Processing & transformation

Transform and manipulate data through sorting, grouping, filtering, and combining datasets.

Concept B.1.3

Processing & transformation

Transform and manipulate data through sorting, grouping, filtering, and combining datasets.

Concept B.1.4

Summarizing groups

Calculate and analyze group-level statistics from detailed data to reveal patterns and relationships.

Concept B.1.4

Summarizing groups

Calculate and analyze group-level statistics from detailed data to reveal patterns and relationships.

Organization & Processing

Organization & Processing

Data cleaning

Data cleaning

Organizing & structure

Organizing & structure

Processing & transformation

Processing & transformation

Summarizing groups

Summarizing groups

Developed by our coalition

Coalition organizers