FREE Online session on Basics of R-Studio at 11 am today

[Neeraj Kaushik]

Good morning

Today at 11 am I will take an online session on Basics of R-Studio for my students.

If free and interested for the same, you may join. No prior regd reqd 

https://meet.google.com/ipk-zhbi-zho

Best wishes

Neeraj

[Neeraj Kaushik]

Dear Friends

The world of R & R-STudio has changed a lot now. 

I started working on R from Jan 2018. In the last 5 years, I've witnessed the emergence of a few all-in-one packages. Now, we do not need to know hundreds of packages, just a few packages are enough for the majority of work. For Example:

dplyr gives all Excel like capabilities of data handling

ggplot2 is one stop solution to all visualizations

ggstatsplot combined statistics and ggplot2

jmv provides all univariate, bivariate and lot of multivariate statistical techniques

quanteda is one stop solution for Text Analysis

MCDA provides majority of Multi Criterion Decision Analysis techniques

To spread the awareness of these packages, I'm taking 3-days of FREE ONLINE sessions on R-studio.

Today (Day-1) I covered the basics of R-Studio which includes Introduction to various panes, concept of package, function and arguments, Data Handling (Selecting rows, columns from given spreadsheet) using Base package as well as dplyr package

Tomorrow (Day-2), we'll discuss Univariate, Bivariate analysis using jmv package and PLS-SEM using SEMinR package. If time permits, I will try to cover ggstatsplot too.   

and on Mar 7 (Day-3) I intend to cover Text Analysis using quanteda package.

All the sessions are FREE and ONLINE.No prior registration is required.

Anyone interested in these sessions may join on https://meet.google.com/ipk-zhbi-zho

The sessions timing are 11 am - 12:30 pm and 1:30 pm-4:00 pm

Happy Learning

Neeraj

[samiran]

Dear Sir

I hope you are doing well. I wanted to join, but due to official work, I will be unable to join.  Sir, it will be highly beneficial for us if you kindly record the session and share it.

Thanks & Regards

Samiran Sur

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[Neeraj Kaushik]

There is no need for recording as all such sessions are already there on YouTube: 

Today I will cover the videos no 44-46 of this playlist R-studio

as well as first 7 videos of PLS-SEM (using R-Studio packages)

To view this discussion on the web visit https://groups.google.com/d/msgid/dataanalysistraining/CACYQCGkAOA2OG5ButxWb9xJc_6mtwR_Cu%2BcGHH5Hx6pTObDaDQ%40mail.gmail.com.

[samiran]

Thank you Sir

To view this discussion on the web visit https://groups.google.com/d/msgid/dataanalysistraining/CAAd%3Dc8O4fYdqnrjL0SQXXCrkyo8pzzUEYQsK4X3Rk9JOYRyAiQ%40mail.gmail.com.

[Neeraj Kaushik]

PFA the R-script files of Day-1 and Day-2

On day-2, we discussed the jmv package (Tutorial: https://www.jamovi.org/jmv/corrpart.html)

along with ggstatsplot package

On Day-3, we will cover the text analysis, topic modeling and predictive analysis 

Prof Kenneth Benoit (https://www.lse.ac.uk/Methodology/People/Academic-Staff/Kenneth-Benoit/Kenneth-Benoit) is Director of the Data Science Institute at the London School of Economics and Professor of Computational Social Science in the Department of Methodology. The initial development of QUANTEDA was supported by the European Research Council (https://quanteda.io/).

QUANTEDA is a family of packages and it includes the following:

1. Quanteda

2. Quanteda.textstats

3. Quanteda.textplots

4. Quanteda.textmodels

5. Quanteda.sentiment

6. Quanteda.dictionary

It's one of the most powerful yet easiest R-package for the Text-Analysis which will replace many proprietary software used for the Text Analysis 

Quanteda-1. Introduction to R-package Quanteda: https://youtu.be/ypMODS_onn0

Other packages to be used along with QUANTEDA for tomorrow's session are:

• stm
• slda
• tidyr
• tidytext
• syuzhet
• tm
• readtext
• wordcloud
• wordcloud2
• reshape
• widyr
• ggraph
• igraph
• LDA

Happy Learning

Neeraj

[Priyanka Tandon]

Dear Sir

Thankyou for such a wonderful opportunity.

Sir because of prior commitments I personally was not able to attend the sessions. Have you prepared the playlists for R-Studio sessions, if yes, can you share the link with us.

I really like the way of explanation like you do in your sessions.

Thanks & Regards

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[Neeraj Kaushik]

Day-3 Contents attached

Quanteda Tutorial: https://quanteda.io/articles/quickstart.html

Quanteda Videos:

Quanteda-1. Introduction to R-package Quanteda:

https://www.youtube.com/watch?v=ypMODS_onn0&list=PLzUJUtTJcj8RrnydyXowhLh0n7gf-2A58&index=31

[Priya]

We are highly thankful to you sir 👍I must say you are the saviour in any problem for all the researchers. 🙏

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[Neeraj Kaushik]

Dear Friends

Today we discussed about the Predictive Analysis.

Text Analysis is a very wide and comprehensive term which encompases:

1. Word count, Wordcloud and Comparison clouds

2. Word Association, Network plot

3. Sentiment Analysis

4. Topic Modeling 

5. Predictive Analysis (Regression like modeling using Sentiment scores or proportion of topic in each file)

PFA the 3 R-scripts discussing Topic Modeling using QUANTEDA, TIDYTEXT and SLDA packages

PFA the link of some of the good papers:

Using structural topic modelling to predict users’ sentiment towards intelligent personal agents. An application for Amazon’s echo and Google Home: https://www.sciencedirect.com/science/article/abs/pii/S0969698921002241

Employing structural topic modelling to explore perceived service quality attributes in Airbnb accommodation: https://www.sciencedirect.com/science/article/abs/pii/S0278431920302280?via%3Dihub

Exploring customer sentiment regarding online retail services: A topic-based approach: https://www.sciencedirect.com/science/article/abs/pii/S096969891930997X?via%3Dihub

What do hotel customers complain about? Text analysis using structural topic model: https://www.sciencedirect.com/science/article/abs/pii/S0261517719300020?via%3Dihub

The antecedents of customer satisfaction and dissatisfaction toward various types of hotels: A text mining approach:
https://www.sciencedirect.com/science/article/abs/pii/S0278431916300202?via%3Dihub

What do Airbnb users care about? An analysis of online review comments: https://www.sciencedirect.com/science/article/abs/pii/S0278431917307491?via%3Dihub

Happy Learning

Neeraj 

[Rohit Kanda]

RESPECTED SIR

Best wishes for the work. Keep up the good work.

Best regards

Dr. Rohit Kanda, Ph.D. JRF MBA M.Com
Assistant Professor (Senior Scale)
Department of Management Sciences,
PSGI (Autonomous, COE), UNOM TN IN.

VISITING FACULTY, CCCP, UNIVERSITY OF SOUTH FLORIDA, TAMPA BAY FL USA 

Contact: +91-781-448-9312 (Cell)

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