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Presenting 
Data: 
Data 
Tables
What is data? 
Data are any and 
all records you 
gather from your 
observations.
The types of data 
collected… 
depend on the 
types of observations 
or activities 
conducted to 
collect them.
Data Tables 
Data tables are 
the most 
common means 
of recording 
data.
Data Table Procedures: 
1.Use graph 
paper. 
2.Use a RULER!
Data Table Procedures: 
3. Based on the data, 
determine your rows and 
columns. 
4. Create headings for 
columns and rows. 
5. Include any units or symbols 
in the headings.
Data Table Procedures: 
6.Organize data 
within the rows and 
columns. 
7.Pay attention to 
detail. 
8.Be concise.
Data Table Procedures: 
9. Create an accurate and 
descriptive title for the data 
table. 
10.Anyone who reads the title 
would be able to understand 
the contents JUST by the title.
Data Analysis 
If rows and columns are 
properly organized and clearly 
labeled, data analysis becomes 
much easier. 
You can always ask new 
questions about data, 
…or reorganize data.

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Presenting data: data tables

  • 2. What is data? Data are any and all records you gather from your observations.
  • 3. The types of data collected… depend on the types of observations or activities conducted to collect them.
  • 4. Data Tables Data tables are the most common means of recording data.
  • 5. Data Table Procedures: 1.Use graph paper. 2.Use a RULER!
  • 6. Data Table Procedures: 3. Based on the data, determine your rows and columns. 4. Create headings for columns and rows. 5. Include any units or symbols in the headings.
  • 7. Data Table Procedures: 6.Organize data within the rows and columns. 7.Pay attention to detail. 8.Be concise.
  • 8. Data Table Procedures: 9. Create an accurate and descriptive title for the data table. 10.Anyone who reads the title would be able to understand the contents JUST by the title.
  • 9. Data Analysis If rows and columns are properly organized and clearly labeled, data analysis becomes much easier. You can always ask new questions about data, …or reorganize data.