Making sense of science data using
CODAP
(Common Online Data Analysis Platform)
bit.ly/CODAPpractice
bit.ly/CODAPpractice
Using CODAP to support SEP #3: Analyzing and Interpreting
Using CODAP to support SEP #3: Analyzing and Interpreting
"Data analysis is the process of getting data ready for interpretation. It includes organizing and presenting the data so that patterns are revealed. Interpretation will make meaning of those patterns."
"Data analysis is the process of getting data ready for interpretation. It includes organizing and presenting the data so that patterns are revealed. Interpretation will make meaning of those patterns."
California Science Framework
Guided Instruction: Using CODAP to Visualize Data
Guided Instruction: Using CODAP to Visualize Data
Plant growth (opens in the CODAP web platform)
Open a blank CODAP canvas.
- Mammal data (CSV file)
- U.S. birthdays during 2000-2014 (CSV file)
Independent Practice: CSV Files (download then drop and drag onto a blank CODAP canvas)
Independent Practice: CSV Files (download then drop and drag onto a blank CODAP canvas)
- Four Seals (CSV file)
- World Cup soccer data (CSV file)
- Tsunami data (CSV file)
- Titanic survivors (CSV file)
- Roller coaster data (CSV file)
- CO2 Levels (CSV file)
- Atlantic hurricanes (CSV file)
- Exercise effects (CSV file)
- Global sea level rise (CSV file)
- Sea ice and snow cover (CSV file)
- Texting reaction time (CSV file)
- Trends in cancer death rates (CSV file)
- LA yearly rainfall, 1877-2017 (CSV file)
- Trends of the periodic table (CSV file)
- World population - past and future (CSV file)
- Adelie penguin data (CSV file)