This document provides an overview of data visualization and data science. It introduces data visualization versus data analysis, noting that data visualization is the presentation of data in a practical or graphical format, while data analysis is the process of finding information from visualized data. It also discusses R and Python programming languages and popular libraries for data science like NumPy, SciPy, Pandas, Matplotlib and Seaborn that can be used for data visualization and analysis. The document provides a simple example of creating plots in RStudio.

1. Data Visualization
Akkal Bahadur Bist
AI Developer || Data Science Intern
BSC.CSIT Swastik College, Tribhuvan University
Email: akkalbist55@gmail.com
GitHub: github.com/akkalbist55

2. Outlines
❖ Introduction to Data Science
❖ Data Visualization vs Data Analysis
❖ Introduction to R
❖ Python Programming
❖ Python Data Science Library
❖ Example on R

3. Introduction to Data Science
Data Science is a real thing.
It is the civil engineering of data.
Technique to change raw data into
information.
It is an umbrella term in which include
mathematics, statistics and so on…

4. Field in Data Science

6. Data Processing

7. Data Visualization vs Data Analysis
Data Science has two terms:
1. Data Visualization
It is a presentation of data in aa practical or graphical format.
1. Data Analysis
It is a process of find out information from visualized data.

9. cont...
Data scientist is a person who visualize and
analyze data.
Data Scientist = Programmer + Computer
Scientist + Mathematician + Story teller + Domain
Expert.

10. Introduction to R
R is a Programming Language and Environment for Statistical
computing and graphics.
R is better to visualize Data.

11. RStudio
RStudio is a free and open-source integrated development environment for R.
RStudio was founded by JJ Allaire, creator of the programming language
ColdFusion.

12. Python Programming
Python is an object-oriented, high-level programming language.
It is used in web development and data science.

13. Python Data Science Library
Core Library
● NumPy
● SciPy
● Pandas
Visualization Library
● Matplotlib
● Seaborn
● Bokeh
● PlotPy
There are lot of python Data Science library.

14. Example
It was created on RStudio.

15. Circa Location

16. Network

17. Simple Plot
new_df <- read.csv('data.csv')
new_df
plot(rnorm(10))
plot(c(2,3,5,6))
plot(x = seq(1,100,by=2), y = seq(1,100,by=2)^2)

18. Refrences
https://activewizards.com
https://intellipaat.com
https://en.wikipedia.org
http://www.tutorialspoint.com/