Data Analysis: Exploring Your Data

Get to know your data through basic descriptive analyses and graphs

What are these?

  • A series of short videos designed to explain basic stats techniques, and how to do them in Excel, SPSS, and R.

  • This series was informed by several of Neil J. Salkind’s books on statistical training (Statistics for People who Think They Hate Statistics, Excel Statistics: A Quick Guide, and Using SPSS for Windows and Macintosh), and by the online R community.  This video series was created with National Science Foundation funding, #1423004.

How should you use them?

  • To orient yourself to the different ways that basic stats help you understand data.
  • To understand the stats is your evaluation reports and how they work.
  • To remind yourself of stats you learned a while back, but feel a bit rusty with.
  • As a primer for more comprehensive stats training.

How should you NOT use them?

  • To replace the statistical training needed for evaluation.

  • Need more? Send us a request for a new video series by using the Contact Us feature.

Choose your software:

R

Excel

EF Graphical EDA Handout in Excel

Explore your data using graphs in Excel

Graphical EDA in Excel Video (4:53)

Explore your data using graphs in Excel


 

EF Numeric EDA Handout in Excel

Explore your data using numbers in Excel

Numeric EDA in Excel Video (11:02)

Explore your data using numbers in Excel


 

SPSS

EF Graphical EDA in SPSS Handout

Explore your data using graphs in SPSS

Graphical EDA in SPSS Video

Explore your data using graphs in SPSS

 

EF Numeric EDA in SPSS Handout

Explore your data using numbers in SPSS

Numeric EDA in SPSS Video

Explore your data using numbers in SPSS

 

R

EF Graphical EDA in R Handout

Explore your data using graphs in R

Graphical EDA in R VIdeo

Explore your data using graphs in R

 

EF Numeric EDA in R Handout

Explore your data using numbers in R

Numeric EDA in R Video

Explore your data using numbers in R

 

Additional data analysis resources:

We provide a variety of resources that can be filtered based on your preferences.

Instruments

Data Collection

Data Management

Data Analysis

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