Type of Data in Data Science
Greetings.
I am a machine learning engineer based in India, possessing a sustained interest in machine learning since my undergraduate studies. I have completed Stanford University's machine learning course (Andrew Ng) via Coursera, and IBM's machine learning and deep learning curriculum. My current focus is on machine learning and data science projects, aiming to leverage my expertise for impactful, real-world problem-solving.
#1. Numerical Data
Numerical Data is a type of data in the form of numbers.
A dataset containing discrete or continuous numerical features is a numerical dataset.
For Example:
- Height
- Weight - Number of Matches
- Runs Scored
#2. Categorical Data
Categorical Data is a type of data containing two or more categories.
It can be divided or classified.
For Example:
- Income Group
- Gender
- Language
- Location
#3. Time Series Data
A time-series dataset is a sequence of data collected over an interval of time.
For Example:
- Stock Price Data
- Monthly Sales Data
- Website Traffic Data
#4. Textual Data
Textual Data is a collection of textual information like words and phrases.
It is primarily used for natural language processing problems.
For Example:
- Tweets
- Comments
- Reviews
- Books
