Workshop on Data Analysis & Econometrics with R (ViRtual)

17, 18, 25 and 26 Feb-2023 (6-9 PM)

Zahid Asghar and Muhammad Yaseen

How to be good at metRics

Why choose R and Quarto

  • Use One Tool from Start to Finish

  • Focus on Content, Not Formatting

  • Easier to share and review

  • Its not R vs others but R for jobs

  • R for analytics and statistical computing, econometric modeling and data science

  • R for Reproducible research

What will you learn

Basic feature of this workshop will be to start exploring and modeling data using R along-with hands-on experience. All workshops recording, codes, slides and related things will be provided to all the participants once they will register for the workshop.

By the end of Data Analysis with R, you’ll understand:

  • How to use base R and tidyverse to carry out analysis on your own data
  • The core features of a data analysis workflow
  • Generating summary statistics, visualizing and doing econometrics data

And you’ll be able to use:

  • Basic functions in the tidyverse to process raw data for typical data analysis questions
  • Logical expressions and indexing to ask specific questions of data
  • Functions to conduct common statistical tests
  • Application of conepts on a case study data of Health Insurance Subsidy Program data

Why this is for you

  • You have your own data sets and you want to analyze it
  • You think R is important but intimidated by R and dont know where to start with
  • You want to do good in data analytics
  • You want to get data insight for your intelligent decision making
  • You want to be at par in academia with the rest of the world

Uploaded data and required R packages

Understanding datasets requires many hours/days or in some cases weeks.There are many commercially available softwares but open source community based softwares have now dominated and R is one of these. R makes data understanding process as easy as possible through the dplyr package. It is one of the easiest solution for code-based data analysis. We will learn in this training how to do it. I have already uploaded videos for downloading packages and relevant information. Installing R and RStudio,

R Packages, Library, Errors,

R Codes Basics

We shall use Health Insurance Subsidy Program and related data sets throughout this training. It’s available through CRAN, so make sure to install it. Here’s how to load in all required packages:

Outline

Some basic commands for data loading and its features

  • Reading csv files, excel, Stata , SPSS … data files
  • View
  • glimpse
  • structure
  • head, tail

Components

  • Column Selection
  • Data Filtering
  • Sort data with arrange
  • Creating Derived Columns
  • Calculating Summary Statistics
  • Summarising data groupwise
  • Creating Tables

How to merge files

  • Merging files

Summarising data by groups

Average life expectancy is calculated by_grouping continents:

## # A tibble: 5 × 2
##   continent avglife
##   <fct>       <dbl>
## 1 Africa       54.8
## 2 Americas     73.6
## 3 Asia         70.7
## 4 Europe       77.6
## 5 Oceania      80.7

if_else command alongwith mutate

Percentiles

Advanced Analysis

Visualizing Data

Creating awesome graphs using themes of popular magzines like The Economist, Financial Times and many ohters.

Presenting data in tables

Basic of Regression Analysis

  • Doing regression analysis in practice
  • Producing nice regression tables in word and other formats

Producing beautiful documents in Quarto

About me

Zahid Asghar

  • Student of:
    • Applied Econometrics
    • Data Analytics
    • Development Economics
    • R, STATA, Excel
    • Urban Economics
    • Skills for jobs of today and tomorrow
  • Research interests : data for policy, development economics , Applied Econometrics

Pre-requisite for workshop

There is no pre-requisite for the workshop and all of the participants can benefits depending on how much effort they put it in doing practical work. - install R and RStudio - install tidyverse package R Packages, Library, Errors, - install gapminder package R Packages, Library, Errors, R and RStudion installation is desirable but not necessary as I shall use RStudio(now Posit) Cloud.

Course fee and refund

Full fee refund will be made to General category within 24 hours of the first lecture. 75% of the fee will be refund to students of general category, and fee refund for students of special category will only be made if they cancel registration at least 3-days before the start of the first class.

Course Fee
Category Fee Remarks
General Rs.4000/
Student Rs.2000/ Certificate of fee deposited in the university enrolled. Seats are limited.(First come first serve basis)
Students enrolled in Balochistan and selected universities of KP and Sindh Rs.1000/ 10 seats (First come first serve basis)

All those who have attended Data Analysis Using Excel workshop will get 25% discount if they fall in general category

Please pay course fee in the account given below and in case of student, please share neat image of being fee deposited in the university and for this course. Same is the case for special category students.

Registration