Do files (.do)

1. Objective and Goals

• Objective: To conduct a detailed analysis of [specific dataset], focusing on [your primary analysis goals].
• Key Goals:
  1. Clean and preprocess the dataset.
  2. Conduct exploratory data analysis (EDA).
  3. Run descriptive statistics and tests.
  4. Perform regression analysis (if applicable).
  5. Generate visualizations for key findings.
  6. Document the process with appropriate Stata .do files and log files.

2. Data Preparation and Cleaning

Tasks:

• Load and inspect the dataset.
• Identify missing values and outliers.
• Clean variables by trimming spaces, converting data types, and renaming variables where necessary.

Example Stata Do File for Data Cleaning:

* Set the working directory
cd "C:/Users/yourname/Documents/DataAnalysis"

* Load the dataset
use "dataset.dta", clear

* Inspect the dataset structure
describe

* Check for missing values
misstable summarize

* Remove leading/trailing spaces in string variables
foreach var of varlist _all {
    gen clean_`var' = trim(`var')
    drop `var'
    rename clean_`var' `var'
}

* Convert string variables to numeric (if needed)
encode variable_name, gen(variable_name_num)

* Check and handle missing values
replace variable_name = 0 if missing(variable_name)

* Save the cleaned dataset
save "cleaned_dataset.dta", replace

3. Exploratory Data Analysis (EDA)

Tasks:

• Perform basic summary statistics for numerical variables.
• Check the distribution of categorical variables.
• Visualize relationships between key variables.

Example Stata Do File for EDA:

* Load the cleaned dataset
use "cleaned_dataset.dta", clear

* Summary statistics for numerical variables
summarize

* Frequency distribution for categorical variables
tabulate categorical_variable

* Histogram for numerical variable
histogram numerical_variable, bin(20) normal

* Scatter plot for relationship between two variables
scatter variable1 variable2

4. Statistical Analysis and Hypothesis Testing