📊 Dataset · CSV

superstore_sales.csv

Name: superstore_sales.csv
Creator: Mathew K
License: https://creativecommons.org/licenses/by/4.0/

Free CSV dataset “superstore_sales.csv” (9,994 rows × 9 columns, 715.5 KB) used in 15 Python lessons, including “Build a Streamlit Dashboard in Python |…

⬇ Download CSV (715.5 KB)

Size715.5 KB
Rows9,994
Columns9
Used in15 lessons

Preview (first rows)

Order Date	Region	State	Category	Sub-Category	Segment	Sales	Profit	Quantity
11/8/2016	South	Kentucky	Furniture	Bookcases	Consumer	261.96	41.9136	2
11/8/2016	South	Kentucky	Furniture	Chairs	Consumer	731.94	219.582	3
6/12/2016	West	California	Office Supplies	Labels	Corporate	14.62	6.8714	2
10/11/2015	South	Florida	Furniture	Tables	Consumer	957.5775	-383.031	5
10/11/2015	South	Florida	Office Supplies	Storage	Consumer	22.368	2.5164	2
6/9/2014	West	California	Furniture	Furnishings	Consumer	48.86	14.1694	7
6/9/2014	West	California	Office Supplies	Art	Consumer	7.28	1.9656	4
6/9/2014	West	California	Technology	Phones	Consumer	907.152	90.7152	6

Columns

Column	Type	Example
`Order Date`	text	11/8/2016
`Region`	text	South
`State`	text	Kentucky
`Category`	text	Furniture
`Sub-Category`	text	Bookcases
`Segment`	text	Consumer
`Sales`	decimal	261.96
`Profit`	decimal	41.9136
`Quantity`	integer	2

Load it in Python

import pandas as pd
df = pd.read_csv("superstore_sales.csv")
df.head()

superstore_sales.csv

Preview (first rows)

Columns

Load it in Python

Lessons that use this dataset

Build a Streamlit Dashboard in Python | Data Analytics #15

SQL Fundamentals for Data Analysts | Data Analytics #16

Automate Excel with Python | Data Analytics #19

Excel Pivot Tables & Charts for Reporting | Data Analytics #20

Statistics Fundamentals Every Analyst Needs | Data Analytics #23

Storytelling with Data: Present Like a Pro | Data Analytics #27

Probability Foundations for Data Analysts | Statistics #1

Discrete Distributions Explained: Binomial & Poisson | Statistics #2

Continuous Distributions & the Normal Curve | Statistics #3

The Central Limit Theorem, Finally Explained | Statistics #4

Sampling Methods & How Bias Sneaks In | Statistics #5

Confidence Intervals Done Properly | Statistics #6