Skip to content
/ R-for-Data-Science Public

Welcome to R for Data Science Repository. It includes the code in R required for dealing with matrices, data frames and creating beautiful visualizations.

5 stars 0 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

Bhrugu-scientist/R-for-Data-Science

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

61 Commits
1) Hello World.R
1) Hello World.R
 
 
10) Using the [] brackets.R
10) Using the [] brackets.R
 
 
11) Vectorized Operations.R
11) Vectorized Operations.R
 
 
12) Functions in R.R
12) Functions in R.R
 
 
13) Packages in R.R
13) Packages in R.R
 
 
14) Buillding first matrix.R
14) Buillding first matrix.R
 
 
15) Colnames() and rownames().R
15) Colnames() and rownames().R
 
 
16) Matrix Operations.R
16) Matrix Operations.R
 
 
17) Visualizing with matplot().R
17) Visualizing with matplot().R
 
 
18) Subsetting.R
18) Subsetting.R
 
 
19) Visualizing Subsets.R
19) Visualizing Subsets.R
 
 
2) Types of Variables.R
2) Types of Variables.R
 
 
20) Functions.R
20) Functions.R
 
 
21) Importing Data in R.R
21) Importing Data in R.R
 
 
22) Exploring the Data set.R
22) Exploring the Data set.R
 
 
23) Using the $ sign.R
23) Using the $ sign.R
 
 
24) Basic Operations with a Data Frame.R
24) Basic Operations with a Data Frame.R
 
 
25) FIltering a Data Frame.R
25) FIltering a Data Frame.R
 
 
26) Qplot.R
26) Qplot.R
 
 
27) Visualizing with Qplot.R
27) Visualizing with Qplot.R
 
 
28) merging data frames.R
28) merging data frames.R
 
 
29) Visualizing using Qplot Part 2.R
29) Visualizing using Qplot Part 2.R
 
 
3) Using Variables.R
3) Using Variables.R
 
 
30) Factor.R
30) Factor.R
 
 
31) Aesthetics.R
31) Aesthetics.R
 
 
32) Plotting with Layers.R
32) Plotting with Layers.R
 
 
33) Overriding Aesthetics.R
33) Overriding Aesthetics.R
 
 
34) Mapping vs Setting.R
34) Mapping vs Setting.R
 
 
35) Histograms and Density Charts.R
35) Histograms and Density Charts.R
 
 
36) Statistical Transformations.R
36) Statistical Transformations.R
 
 
37) Using Facets.R
37) Using Facets.R
 
 
4) Logical variables and Operators.R
4) Logical variables and Operators.R
 
 
5) The while loop
5) The while loop
 
 
6) Law of Large Numbers.R
6) Law of Large Numbers.R
 
 
7) The For loop.R
7) The For loop.R
 
 
8) The IF Statement.R
8) The IF Statement.R
 
 
9) Creating Vectors.R
9) Creating Vectors.R
 
 
Example program of how R works
Example program of how R works
 
 
Hotel_Bookings Analysis.R
Hotel_Bookings Analysis.R
 
 
Mispriced-Diamonds data set.csv
Mispriced-Diamonds data set.csv
 
 
README.md
README.md
 
 

Repository files navigation

R-for-Data-Science

Welcome to R for Data Science Repository. This repository includes beginner to intermediate level of code, so it is also beginner friendly. It includes the code in R required for dealing with matrices, data frames and creating beautiful visualizations.

About

Welcome to R for Data Science Repository. It includes the code in R required for dealing with matrices, data frames and creating beautiful visualizations.

Topics

data-science data ggplot2 data-visualization matrices basics data-frames ggplot2-themes ggplot2-geom

Resources

Readme
Activity

Stars

5 stars

Watchers

3 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages