00:01
Hello students, the data types and the big data characters are essential data concepts in a data analysis.
00:08
So, let me discuss the data types in the data analysis in the data analytics in the data analytics.
00:19
So, in the data analysis the data types refers to the classification or the categorization of the data based on the kind of the values it holds.
00:28
So, the data can be classified into the various types which helps with self data analysis and the data centers process analyze and visualize the data efficiently.
00:40
So, some common data types from the data analysis are the as the numeric as the numeric or the continuous data or the continuous data.
00:54
So, it contains the continuous data and the discrete data continuous data as well as the discrete data discrete data as the numeric data includes the real numbers that can be used for the further categorization as the continuous data and the discrete data continuous data the data that can take any real value within the given range.
01:22
For example, you can say as an age or the temperature income temperature or income these are the continuous data whereas the discrete data as the data that can only take on the specific discrete value typically integers.
01:42
For example, the number of the products sold the number of the customers number of the customers or the count on the for the number of the sites all this the second comes into the data type is the categorical data categorical data.
02:02
So, this data is represent the distinct data or the label data.
02:05
So, it can be further divided into the normal nominal data nominal data.
02:12
So, that has a categorized without any specific order example the colors the countries plus the countries or the products name the next comes is what's on a ordinal data ordinal data.
02:32
So, the data with the with the categories that have the specific order or the rank for example, the customer satisfaction education level all these things fine or the next comes is the text data text data as the text data represents the unstructured text or the documentation such as the customers review articles or the social media post the text data is essential for sentimental analysis natural level language processing and the text mining...