NAVIGATION ☰
Home Page
Find Data by Subfield ►
African Politics
American Politics
Asian Politics
Comparative Politics
European Politics
International Relations
Latin American Politics
Law Courts & Justice
Methodology
Migration & Citizenship
Political Behavior
Teaching & Learning
Voting & Elections
Find Data by Source ►
Topical Collections
By Author
Journal Archives
Teach Data Analysis ►
Teaching Resources
Teaching Assistant
Live R Demos
Sample Syllabi
Excel Tutorials ►
1: Excel for Data Analysis
2: Descriptive Statistics
3: Transforming Variables
4: Making Comparisons
5: Graphing Relationships
6: Random Assignment & Sampling
7: Controlled Comparisons
8: Sampling Distributions
9: Hypothesis Tests with One or Two Samples
10: ChiSquare & ANOVA
11: Correlation & Bivariate Regression
12: Multiple Regression
13: Regression Residuals
14: Logistic Regression
15: Doing Your Own Analysis
R Demos & Resources
Analyze Data ►
Grade Level of Text
Surname Census Info
Calculate Federal Judge Ideal Points
Crosstabs with Circuit Court Data
Election Simulation
Share Findings ►
Blogs
PeerReviewed Journals
Podcasts
Legal Research
It's Better with Music
About ►
This Web Site
Barry C. Edwards
Excel Tips & Tutorials:
Making Comparisons
Suggest a Link
Alphabetize Page
PrinterFriendly List
Watch and Learn
Watch and Learn
Watch and Learn
Watch and Learn
Map Chart Tutorial
With helpful tips on mapping at different levels (15:15).
Excel Tutorials

Chapter 4
Cross Tabulation With Frequencies and Percentages
Shows how to calculate values and format PivotTable (15:12).
Excel Tutorials

Chapter 4
Excel PivotTables Made Easy
Demonstrates PivotTables with sales data (DV) and addresses common problems (13:17).
Excel Tutorials

Chapter 4
Calculating Means and Standard Deviations in PivotTable
Useful for creating mean comparison tables (7:34).
Excel Tutorials

Chapter 4
Using SUM, COUNT and AVERAGE in PivotTables
Skills needed to make create mean comparison tables (9:51).
Excel Tutorials

Chapter 4
Excel Pivot Tables Explained
Leila Gharani uses PivotTables to summarize sales data by other variables, like sales by product (13:21).
Excel Tutorials

Chapter 4
Using Count, Average and Sum in Pivot Tables
Useful for creating mean comparison tables (8:16).
Excel Tutorials

Chapter 4
How to Group, Ungroup, and Remove PivotTable Rows
Useful for making comparisons with intervallevel independent variable (3:23).
Excel Tutorials

Chapter 4
How to Make CrossTabulation
Uses PivotTable to make crosstable with car data (12:02).
Excel Tutorials

Chapter 4
Map Chart Tutorial
With helpful tips on mapping at different levels (15:15).
Excel Tutorials

Chapter 4
Cross Tabulation With Frequencies and Percentages
Shows how to calculate values and format PivotTable (15:12).
Excel Tutorials

Chapter 4
Excel PivotTables Made Easy
Demonstrates PivotTables with sales data (DV) and addresses common problems (13:17).
Excel Tutorials

Chapter 4
Calculating Means and Standard Deviations in PivotTable
Useful for creating mean comparison tables (7:34).
Excel Tutorials

Chapter 4
Using SUM, COUNT and AVERAGE in PivotTables
Skills needed to make create mean comparison tables (9:51).
Excel Tutorials

Chapter 4
Excel Pivot Tables Explained
Leila Gharani uses PivotTables to summarize sales data by other variables, like sales by product (13:21).
Excel Tutorials

Chapter 4
Using Count, Average and Sum in Pivot Tables
Useful for creating mean comparison tables (8:16).
Excel Tutorials

Chapter 4
How to Group, Ungroup, and Remove PivotTable Rows
Useful for making comparisons with intervallevel independent variable (3:23).
Excel Tutorials

Chapter 4
How to Make CrossTabulation
Uses PivotTable to make crosstable with car data (12:02).
Excel Tutorials

Chapter 4
Map Chart Tutorial
With helpful tips on mapping at different levels (15:15).
Excel Tutorials

Chapter 4
Cross Tabulation With Frequencies and Percentages
Shows how to calculate values and format PivotTable (15:12).
Excel Tutorials

Chapter 4
Excel PivotTables Made Easy
Demonstrates PivotTables with sales data (DV) and addresses common problems (13:17).
Excel Tutorials

Chapter 4
Calculating Means and Standard Deviations in PivotTable
Useful for creating mean comparison tables (7:34).
Excel Tutorials

Chapter 4
Using SUM, COUNT and AVERAGE in PivotTables
Skills needed to make create mean comparison tables (9:51).
Excel Tutorials

Chapter 4
Excel Pivot Tables Explained
Leila Gharani uses PivotTables to summarize sales data by other variables, like sales by product (13:21).
Excel Tutorials

Chapter 4
Using Count, Average and Sum in Pivot Tables
Useful for creating mean comparison tables (8:16).
Excel Tutorials

Chapter 4
How to Group, Ungroup, and Remove PivotTable Rows
Useful for making comparisons with intervallevel independent variable (3:23).
Excel Tutorials

Chapter 4
How to Make CrossTabulation
Uses PivotTable to make crosstable with car data (12:02).
Excel Tutorials

Chapter 4
Map Chart Tutorial
With helpful tips on mapping at different levels (15:15).
Excel Tutorials

Chapter 4
Cross Tabulation With Frequencies and Percentages
Shows how to calculate values and format PivotTable (15:12).
Excel Tutorials

Chapter 4
Excel PivotTables Made Easy
Demonstrates PivotTables with sales data (DV) and addresses common problems (13:17).
Excel Tutorials

Chapter 4
Calculating Means and Standard Deviations in PivotTable
Useful for creating mean comparison tables (7:34).
Excel Tutorials

Chapter 4
Using SUM, COUNT and AVERAGE in PivotTables
Skills needed to make create mean comparison tables (9:51).
Excel Tutorials

Chapter 4
Excel Pivot Tables Explained
Leila Gharani uses PivotTables to summarize sales data by other variables, like sales by product (13:21).
Excel Tutorials

Chapter 4
Using Count, Average and Sum in Pivot Tables
Useful for creating mean comparison tables (8:16).
Excel Tutorials

Chapter 4
How to Group, Ungroup, and Remove PivotTable Rows
Useful for making comparisons with intervallevel independent variable (3:23).
Excel Tutorials

Chapter 4
How to Make CrossTabulation
Uses PivotTable to make crosstable with car data (12:02).
Excel Tutorials

Chapter 4
Over 18,000 Members!