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apply( ) family of functions in R allows you to repetitively perform a specified function across vector, list, matrix, or data frame.
apply( )
lapply( )
sapply( )
tapply( )

These functions are reminiscent to for loops, but unlike for loops, which require writing long codes, the apply family of functions can be written in one single liner.

in this video we will look t apply( ) function in detail. In the upcoming videos, we will visit the other apply family of functions.


About Author
-------------------------------------------------------------------------------------------------------------------------------------------------
My name is Siddharth Sahasrabudhe. I am a founder of Plotly Analytics. I help business professionals learn data science using R programming. All my learning resources are easy to follow, thorough and anyone can follow them regardless of one's professional and educational background.

Find out more about plotly analytics here:
https://plotlyanalytics.com/

Connect with me on LinkedIn:
https://www.linkedin.com/in/siddharth-sahasrabudhe-b60a9711/

Connect with me on Twitter:
https://x.com/PlotlyAnalytics

For one-on -one or group trainings in R language, please contact me at:
siddharth.sahasrabudhe@plotlyanalytics.com

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R is functional programming language i.e. there is a function available for every operation we perform in R. A function is just a block of code that you can call and run from any part of your program. They are used to break our code in simple parts and avoid repeatable codes by automating repetitive tasks.
In this video, we will study the different components of a function, create custom function in R and use different methods to call the function.

Functions are a fundamental building block of R and writing functions is a core activity of an R programmer. This is how R packages are written - by writing the functions to extend the functionality of R.

About Author
-------------------------------------------------------------------------------------------------------------------------------------------------
My name is Siddharth Sahasrabudhe. I am a founder of Plotly Analytics. I help business professionals learn data science using R programming. All my learning resources are easy to follow, thorough and anyone can follow them regardless of one's professional and educational background.

Find out more about plotly analytics here:
https://plotlyanalytics.com/

Connect with me on LinkedIn:
https://www.linkedin.com/in/siddharth-sahasrabudhe-b60a9711/

Connect with me on Twitter:
https://x.com/PlotlyAnalytics

For one-on -one or group trainings in R language, please contact me at:
siddharth.sahasrabudhe@plotlyanalytics.com

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While loops are used when we don’t know the exact number of times a block of code is to be repeated.
The primary difference between a `for` loop and a `while` loop is: a `for` loop is used when the number of iterations a code should be run is known where a `while` loop is used when the number of iterations is not known.

The while loop has the test_expression. It first gets evaluated. If the result is TRUE, then the block of code inside the while loop gets executed. Once the execution is completed, the test_expression is evaluated again and the same process is repeated until the test_expression evaluates to FALSE.

However, while loops may end up into infinite loops. Therefor, we must remain very cautious in using while loops and check diligently if the loop is not getting repeated into infinite number of times.

About Author
-------------------------------------------------------------------------------------------------------------------------------------------------
My name is Siddharth Sahasrabudhe. I am a founder of Plotly Analytics. I help business professionals learn data science using R programming. All my learning resources are easy to follow, thorough and anyone can follow them regardless of one's professional and educational background.

Find out more about plotly analytics here:
https://plotlyanalytics.com/

Connect with me on LinkedIn:
https://www.linkedin.com/in/siddharth-sahasrabudhe-b60a9711/

Connect with me on Twitter:
https://x.com/PlotlyAnalytics

For one-on -one or group trainings in R language, please contact me at:
siddharth.sahasrabudhe@plotlyanalytics.com

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The for loop is used to execute repetitive code statements for multiple number of times.To execute a for loop, we need to specify a vector and a variable. The variable specified is sequentially set to all the values which are contained in the vector and all commands are executed for all these values. The number of iterations in the for loop can controlled using break and next statements.

In this video we will learn:
- How to create FOR loop
- How to use break statement in FOR loop
- How to use next statement in FOR loop
- How to create nested FOR loops

About Author
-------------------------------------------------------------------------------------------------------------------------------------------------
My name is Siddharth Sahasrabudhe. I am a founder of Plotly Analytics. I help business professionals learn data science using R programming. All my learning resources are easy to follow, thorough and anyone can follow them regardless of one's professional and educational background.

Find out more about plotly analytics here:
https://plotlyanalytics.com/

Connect with me on LinkedIn:
https://www.linkedin.com/in/siddharth-sahasrabudhe-b60a9711/

Connect with me on Twitter:
https://x.com/PlotlyAnalytics

For one-on -one or group trainings in R language, please contact me at:
siddharth.sahasrabudhe@plotlyanalytics.com

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Switch function behaves the same way as set of stacked if-else statements. Switch statement serve as convenient short cut to stacked if else statements..the if-else code could be collapsed to one line switch statement as we will see in the video.

About Author
-------------------------------------------------------------------------------------------------------------------------------------------------
My name is Siddharth Sahasrabudhe. I am a founder of Plotly Analytics. I help business professionals learn data science using R programming. All my learning resources are easy to follow, thorough and anyone can follow them regardless of one's professional and educational background.

Find out more about plotly analytics here:
https://plotlyanalytics.com/

Connect with me on LinkedIn:
https://www.linkedin.com/in/siddharth-sahasrabudhe-b60a9711/

Connect with me on Twitter:
https://x.com/PlotlyAnalytics

For one-on -one or group trainings in R language, please contact me at:
siddharth.sahasrabudhe@plotlyanalytics.com

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To write more sophisticated programs with R, you will need to control the flow and order of execution in your code. One fundamental way to do this is to make certain sections of code dependent on a condition.

If the condition is TRUE, a certain segment of code gets executed and if condition is FALSE, another section of code gets executed. In R, there are different conditional structures such as – if-else statement, and switch statement.

In this video we will look at if-else conditional statement. We will learn three different if-else statement construct:
- if statement
- if-else statement
- it - else if statement

About Author
-------------------------------------------------------------------------------------------------------------------------------------------------
My name is Siddharth Sahasrabudhe. I am a founder of Plotly Analytics. I help business professionals learn data science using R programming. All my learning resources are easy to follow, thorough and anyone can follow them regardless of one's professional and educational background.

Find out more about plotly analytics here:
https://plotlyanalytics.com/

Connect with me on LinkedIn:
https://www.linkedin.com/in/siddharth-sahasrabudhe-b60a9711/

Connect with me on Twitter:
https://x.com/PlotlyAnalytics

For one-on -one or group trainings in R language, please contact me at:
siddharth.sahasrabudhe@plotlyanalytics.com

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In this video we will import Excel file using RStudio console and using read_excel( ) function from readxl package.

Github repo to download CSV file:
https://github.com/siddharth-sahasrabudhe/Dplyr-Package-Videos/blob/main/IMDB%20Movies.csv

About Author
-------------------------------------------------------------------------------------------------------------------------------------------------
My name is Siddharth Sahasrabudhe. I am a founder of Plotly Analytics. I help business professionals learn data science using R programming. All my learning resources are easy to follow, thorough and anyone can follow them regardless of one's professional and educational background.

Find out more about plotly analytics here:
https://plotlyanalytics.com/

Connect with me on LinkedIn:
https://www.linkedin.com/in/siddharth-sahasrabudhe-b60a9711/

Connect with me on Twitter:
https://x.com/PlotlyAnalytics

For one-on -one or group trainings in R language, please contact me at:
siddharth.sahasrabudhe@plotlyanalytics.com

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In this video, we will learn how to import .CS file using read.csv( ) function. Importing .CSV file using read.csv( ) function is recommended since, it becomes a part of your mail code and you also could able to check which file is been used for the analysis and what is its source location.

Link to the previous video on Importing .CSV file using RStudio console is as below:
https://youtu.be/Y-lt3QVA_3Y

Github repo to download CSV file:
https://github.com/siddharth-sahasrabudhe/Dplyr-Package-Videos/blob/main/IMDB%20Movies.csv

About Author
-------------------------------------------------------------------------------------------------------------------------------------------------
My name is Siddharth Sahasrabudhe. I am a founder of Plotly Analytics. I help business professionals learn data science using R programming. All my learning resources are easy to follow, thorough and anyone can follow them regardless of one's professional and educational background.

Find out more about plotly analytics here:
https://plotlyanalytics.com/

Connect with me on LinkedIn:
https://www.linkedin.com/in/siddharth-sahasrabudhe-b60a9711/

Connect with me on Twitter:
https://x.com/PlotlyAnalytics

For one-on -one or group trainings in R language, please contact me at:
siddharth.sahasrabudhe@plotlyanalytics.com

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R works with many different file types - Excel, text, binary, JSON, SPSS, SAS to name a few.
In business however, the CSV and EXCEL file formats are most often used. In this video and couple of upcoming videos we will learn how to import CSV and EXCEL files in R.

We will start with CSV file. There are two ways to import CSV file in R - Using RStudio interface and using read.csv( ) function.

In this video, we will learn how to import CSV file using RStudio interface.

Github repo to download CSV file:
https://github.com/siddharth-sahasrabudhe/Dplyr-Package-Videos/blob/main/IMDB%20Movies.csv

About Author
-------------------------------------------------------------------------------------------------------------------------------------------------
My name is Siddharth Sahasrabudhe. I am a founder of Plotly Analytics. I help business professionals learn data science using R programming. All my learning resources are easy to follow, thorough and anyone can follow them regardless of one's professional and educational background.

Find out more about plotly analytics here:
https://plotlyanalytics.com/

Connect with me on LinkedIn:
https://www.linkedin.com/in/siddharth-sahasrabudhe-b60a9711/

Connect with me on Twitter:
https://x.com/PlotlyAnalytics

For one-on -one or group trainings in R language, please contact me at:
siddharth.sahasrabudhe@plotlyanalytics.com

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