Loop Control Statements in C
Introduction to HTML
How to use the Github API
The image tag, anchor tag and the button tag
Ordered and Unordered Lists in HTML
The division tag
HTML Forms
Tables in HTML
Introduction to C Programming
Introduction to Python
Varibles and Datatypes in Python
Operators in Python
Typecasting in Python
Input and Output in Python
If Else in Python
Loops in Python
Break, Continue and Pass in Python
Python practice section 1
Lists in Python
Tuple in Python
Data Analytics
Data Analytics refers to the process of examining and interpreting raw data to extract valuable insights, patterns, trends, and information that can be used to make informed decisions. In other words, we can say that Data Analytics is the process of examining data sets to find trends and draw conclusions about hidden information they contain.
Consider we have data from a school that shows the number of boys and girls in each class.
| Class | Boys | Girls |
|---|---|---|
| 1 | 40 | 50 |
| 2 | 38 | 49 |
| 3 | 37 | 49 |
| 4 | 35 | 45 |
| 5 | 37 | 43 |
| 6 | 40 | 40 |
| 7 | 35 | 28 |
| 8 | 33 | 25 |
If we see this data then we can not easily find information inside it. Data Analytics helps us to find this hidden information. Let's see some of the hidden information.
- Number of students is less in the upper classes as compared to lower classes.
- In lower classes number of girls are more than boys but in upper class girls are less.
- After 6th class number of students fall rapidly.
- After 6th class fall in number of girls is massive.