Data Science for Young Minds — Grade 3
| Topic | Details |
|---|---|
| What raw data looks like (a jumbled list | What raw data looks like (a jumbled list of answers) |
| Why organized data is easier to understa | Why organized data is easier to understand |
| Introduction to data tables | Introduction to data tables: rows, columns, headers |
| Activity | Activity: take messy survey results and organize them into a table |
| What a tally chart is | What a tally chart is: counting how many times each answer occurs |
| Converting tallies to numbers (frequency | Converting tallies to numbers (frequency) |
| Making a frequency table | Making a frequency table |
| Activity | Activity: create a tally chart from your survey data |
| What categories are | What categories are: groups that organize similar things together |
| When you need categories (open-ended res | When you need categories (open-ended responses, measurements) |
| Making categories that do not overlap | Making categories that do not overlap |
| Categories should cover everything (no d | Categories should cover everything (no data left out) |
| Why checking matters | Why checking matters: totals should match |
| Counting entries | Counting entries: do you have the same number of responses? |
| Looking for mistakes | Looking for mistakes: impossible values, missing data |
| Activity | Activity: swap tables with a partner and check each other's work |
See how raw, unorganized data becomes clear and useful when you put it in a table.
Learn to summarize data by counting how often each answer appears.
Sometimes data needs to be grouped into categories before it makes sense. Learn when and how to create good categories.
Learn to verify that your organized data matches your raw data. No information should be lost.