Spreadsheets Tutorial : Organizing Rows and Columns
Skills:
Data Literacy90%
Want to learn more? Take the full course at https://learn.datacamp.com/courses/pivot-tables-in-spreadsheets at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work.
---
In the last lesson, you learned how to create the shell of a pivot table. Now you will begin to populate the pivot table with data. While there are many options to building your pivot table, the first choice is often selecting the rows and columns.
You'll start with the worksheet tab you created last time, which shows the pivot table editor on the right hand side, and a blank shell of the pivot table within your worksheet. The first thing you want to do is to select a category to go in the Rows field. When you click on Add next to the Rows section, you will see a dropdown list which contains the column headers from your source data.
Now, when you select any of these categories, the pivot table will list all of the unique values found in that column of your source data. I will select Industry, and the pivot table will now show all of the industries contained in my original dataset. Now we have a list of industries for the Top 10 companies in the world.
Next, you can select categories for the Columns field the same way. By clicking Add, you will see the dropdown menu containing the same list of column headers. I will select Year, and the pivot table now shows all of the years that are contained in the source data.
You can select multiple rows or columns as well, by clicking Add again, and selecting another category. In the rows section, I will add the category Name so that the name of each company is listed underneath the industry. Do you see any surprises on this list? It looks like the Petroleum Refining industry is doing well, with four companies in the top ten!
Please note that you can re-arrange the order of the rows by clicking and dragging the field names above or below each other. You can also click and drag them from rows to columns, o
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from DataCamp · DataCamp · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
SQL Server Tutorial: Date manipulation
DataCamp
R Tutorial: Intermediate Interactive Data Visualization with plotly in R
DataCamp
R Tutorial: Adding aesthetics to represent a variable
DataCamp
R Tutorial: Moving Beyond Simple Interactivity
DataCamp
Python Tutorial: Why use ML for marketing? Strategies and use cases
DataCamp
Python Tutorial: Preparation for modeling
DataCamp
Python Tutorial: Machine Learning modeling steps
DataCamp
R Tutorial: The prior model
DataCamp
R Tutorial: Data & the likelihood
DataCamp
R Tutorial: The posterior model
DataCamp
R Tutorial: An Introduction to plotly
DataCamp
R Tutorial: Plotting a single variable
DataCamp
R Tutorial: Bivariate graphics
DataCamp
Python Tutorial: Customer Segmentation in Python
DataCamp
Python Tutorial: Time cohorts
DataCamp
Python Tutorial: Calculate cohort metrics
DataCamp
Python Tutorial: Cohort analysis visualization
DataCamp
R Tutorial: Building Dashboards with flexdashboard
DataCamp
R Tutorial: Anatomy of a flexdashboard
DataCamp
R Tutorial: Layout basics
DataCamp
R Tutorial: Advanced layouts
DataCamp
Python Tutorial: Time Series Analysis in Python
DataCamp
Python Tutorial: Correlation of Two Time Series
DataCamp
Python Tutorial: Simple Linear Regressions
DataCamp
Python Tutorial: Autocorrelation
DataCamp
R Tutorial: The gapminder dataset
DataCamp
R Tutorial: The filter verb
DataCamp
R Tutorial: The arrange verb
DataCamp
R Tutorial: The mutate verb
DataCamp
R Tutorial: What is cluster analysis?
DataCamp
R Tutorial: Distance between two observations
DataCamp
R Tutorial: The importance of scale
DataCamp
R Tutorial: Measuring distance for categorical data
DataCamp
Python Tutorial: Plotting multiple graphs
DataCamp
Python Tutorial: Customizing axes
DataCamp
Python Tutorial: Legends, annotations, & styles
DataCamp
Python Tutorial: Introduction to iterators
DataCamp
Python Tutorial: Playing with iterators
DataCamp
Python Tutorial: Using iterators to load large files into memory
DataCamp
SQL Tutorial: Introduction to Relational Databases in SQL
DataCamp
SQL Tutorial: Tables: At the core of every database
DataCamp
SQL Tutorial: Update your database as the structure changes
DataCamp
Python Tutorial: Classification-Tree Learning
DataCamp
Python Tutorial: Decision-Tree for Classification
DataCamp
Python Tutorial: Decision-Tree for Regression
DataCamp
Python Tutorial: Census Subject Tables
DataCamp
Python Tutorial: Census Geography
DataCamp
Python Tutorial: Using the Census API
DataCamp
R Tutorial: A/B Testing in R
DataCamp
R Tutorial: Baseline Conversion Rates
DataCamp
R Tutorial: Designing an Experiment - Power Analysis
DataCamp
R Tutorial: Introduction to qualitative data
DataCamp
R Tutorial: Understanding your qualitative variables
DataCamp
R Tutorial: Making Better Plots
DataCamp
SQL Tutorial: OLTP and OLAP
DataCamp
SQL Tutorial: Storing data
DataCamp
SQL Tutorial: Database design
DataCamp
Python Tutorial: Introduction to spaCy
DataCamp
Python Tutorial: Statistical Models
DataCamp
Python Tutorial: Rule-based Matching
DataCamp
More on: Data Literacy
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
A Simple Guide to Building Phylogenetic Trees and Heatmaps in R
Medium · Python
The Over-Engineered Solution Was Never the Real Problem
Dev.to · ruth mhlanga
The Assumption That Cost Retailers Millions: Income Has Nothing To Do With Spending
Medium · Python
Global Airport Traffic
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI