A small dataset (with about 1000 rows) of the salaries of some hypothetical people for learning, practicing, and testing purposes. A person’s salary will have more or less related to the profession and the person’s age.
Here’s the URL of the salaries.csv
file:
https://api.slingacademy.com/v1/sample-data/files/salaries.csv
It has 4 columns: Name
, Age
, Job
, and Salary
.
You can download it manually via a web browser or read it directly using any programming language you like. Below is an example that uses pandas
(Python):
import pandas as pd
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
file_url = 'https://api.slingacademy.com/v1/sample-data/files/salaries.csv'
df = pd.read_csv(file_url, storage_options={
'User-Agent': 'Mozilla/5.0'})
# 5 first rows
print(df.head())
Output:
Name Age Job Salary
0 Kevin Sanders 24 Software Engineer 7300
1 Lisa Mills 26 High School Teacher 6100
2 Donna Allison 27 Dentist 12700
3 Michael Schmitt 43 Dentist 17500
4 Lisa Shaffer 31 Accountant 7400
This is a simplified dataset. If you prefer a more complex dataset (also related to salary), see this page.
Happy coding, and have fun!