Python Tutorial: Working with CSV file for Data Science
1. What is a CSV?
CSV stands for “Comma Separated Values.” It is the simplest form of storing data in tabular form as plain text. It is important to know to work with CSV because we mostly rely on CSV data in our day-to-day lives as data scientists.
Structure of CSV:
We have a file named “Salary_Data.csv.” The first line of a CSV file is the header and contains the names of the fields/features.
After the header, each line of the file is an observation/a record. The values of a record are separated by “comma.”
2. Reading a CSV
CSV files can be handled in multiple ways in Python.
CSV stands for "Comma Separated Values.". In this article, let's see the different ways of reading and writing CSV file for data science
