How to Create CSV Dataset?- Reasons and Seamless Methods

  Mark Regan
Mark Regan
Published: July 31st, 2025 • 5 Min Read

Having well-structured and easy to access datasets are nowadays crucial for researchers, developers, data analysts and even for marketers. How to create a CSV Dataset is one of the most common queries asked by these professionals. CSV (Comma-Separated Values) is a file format that is commonly used for creating, storing and sharing your data into a tabular format. And if you are regularly working with the datasets of different types, how to create CSV Dataset can be your question too.

A CSV file is not just a plain text with multiple comma separated values, it can be a helpful asset if you are regularly dealing with machine learning projects, data visualization, and much more. However, creating a CSV dataset is much easier than you think. All you need is the right method to do it. And for that you need to first understand how to create CSV Dataset and what is CSV Dataset. So let us begin.

What is CSV Dataset?

A CSV is a plain text file where every line is presenting a row of the data and each value is separated by the comma (,) CSV is a widely used format that is basically used to exchange crucial data personally and even professionally with simplicity and compatibility. Some key characters are its text-based and human readable format, each line consists of one record, all the individual values are separated by commas, and supports tabular format to maintain data. It can also be used in machine learning. It can be opened with Google sheets, Excel, text editors, or several programming language such as SQL, R, Python.

Why Do Users Need to Create CSV Dataset?

  • CSV Dataset is compatible enough to be used with Excel Sheets, databases, and Machine Learning tools.
  • They are light weight and also very portable to use as per user needs.
  • To maintain the training dataset for machine learning.
  • Both humans and machines can easily read and understand these files.
  • Works well with multiple programming languages.

Also Read: Know About Dataset in Machine Learning

How to Create Dataset in CSV file Using Microsoft Excel 

  1. First of all, open Microsoft Excel on your system.
  2. After opening Excel click on the “File” button and click “Save As”.
  3. Underneath the file name at the bottom where you are on the screen of saving your file, you will see the option “Save as type.” extend the list and choose “CSV (Comma delimited).”
  4. After this, name your dataset file, choose a location to save it and click on “Save” option .
  5. Lastly, two dialogue boxes as alerting “pop ups” will appear on your screen because of the different formatting. Click on the “OK” button on the first dialogue box to appear and “Yes” on the second. You have now successfully saved a CSV file to your system and you can use the Dataset file as per your needs.

Using Google Sheets to Generate CSV Dataset

  1. First of all, open Google Sheets.
  2. Enter your data that you want in your Dataset.
  3. Now, go to the File click on Download button.
  4. Choose Comma-separated values (.csv) from the saving option list.

How to create Dataset in CSV file Using Text Editor 

  1. Open any text editor such as Notepad, Notepad++, Sublime text etc.
  2. Write your data manually for example:
    Name,Age,Email
    John,28,[email protected]
    Siri, 29, [email protected]
  3. Once done, save your file in .csv

Using Python to Create CSV Dataset

  • By using CSV Module data

Import csv
data = [
[“Name”, “Age”, “City”],
[“bob”, 30, “New York”],
[“john”, 25, “Los Angeles”]
]
with open(“dataset.csv”, “w”, newline=””) as file:
writer = csv.writer(file)
writer .writerows(data)

  • By using Using pandas

import pandas as pd

df = pd.DataFrame({
“Name” : [‘bob’, ‘john’],
“Age” : [30, 25]
“City” : [‘New York’ , ‘Los Angelos’]
})
df.to_csv(‘dataset.csv’, index=False)

Tips to Remember While Creating a Clean CSV Dataset

  • Include header for clarity every time you create CSV Dataset.
  • Avoid unwanted special characters.
  • Choose a compatible method to make CSV Dataset.
  • Make sure to always validate your CSV files.

Conclusion 

In conclusion to this article you discussed multiple methods to clear your doubt on how to create CSV Dataset easily. We have mentioned some possible methods to generate CSV Dataset easily. You can choose a method that suits you according to your needs and preferences. These methods need some technical knowledge as well and some are easy to use. Also you must follow the tips before creating a Dataset with your CSV data files.

If you need any further assistance on how to create Dataset in CSV file, you can contact to our technical support team anytime as they are always available to assist you with all your technical queries.

 

Read Next: Easiest Way to Create Dataset from JSON


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