SQL Tutorial : Binning Data with Case
Key Takeaways
Uses the CASE statement to evaluate conditions in a query using SQL
Original Description
Want to learn more? Take the full course at https://learn.datacamp.com/courses/intermediate-t-sql at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work.
---
In this lesson, you will work with the CASE statement, which is commonly used to evaluate conditions in a query.
The CASE statement allows us to evaluate records like an if statement. We can use the CASE statement to check if a column contains a value and WHEN it does THEN we can replace the value with some other value of our choice, ELSE replace it with any other default value.
A CASE statement must have at least four keywords: CASE, WHEN, THEN, and END. The ELSE is optional, but it often makes sense to include it.
In this query, if the Continent is not Europe or Asia, the value in the newContinent field will be Other.
Take a look at how the case statement is evaluating the values in the Continent field to determine what value to put into it. In this query, we create a new column called NewContinent in which the value is Eurasia if the corresponding row in Continent is either Europe or Asia. If the Continent is not Europe or Asia, then the value in NewContinent does not change.
A CASE statement is a good way to arrange data into smaller groups. This is a common technique for Data Science.
This example shows how to create groups, which are often called bins, so that we can evaluate larger groups of ages rather than discrete values.
The Case statement looks at each value of the age, and depending upon the value, substitutes the age in the lifeExpcolumn with one of 5 numbers representing groups of ages.
Now it is time to practice with CASE!
#DataCamp #SQLServerTutorial #IntermediateSQLServer #SQL
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
Related AI Lessons
⚡
⚡
⚡
⚡
X now offers an MCP server to make its platform easier for AI tools to use
TechCrunch AI
n8n Automation Repurpose Video Content: The 2025 Production Guide
Dev.to AI
You’re Still Paying $200/Month for AI Tools You Could Replace With a Free Local Setup Tonight
Medium · Data Science
Top 10 AI Tools Every College Student Should Know in 2026
Medium · AI
🎓
Tutor Explanation
DeepCamp AI