Geocoding transforms textual location descriptions into geographic coordinates that computers can understand and analyze. This process converts...
Data Science
If you’re new to Python, data science, or deep learning, Google Colab is one of the easiest...
Survey weighting is a statistical technique employed to adjust survey data to better represent the target population....
Macros are one of Stata’s most powerful features, allowing you to store and manipulate text or numbers...
▶️ Updated on March 6th, 2025 YouTube is one of the largest social media platforms, generating millions...
US government-provided datasets, such as the Behavioral Risk Factor Surveillance System (BRFSS) and Youth Risk Behavior Surveillance...
Handling multilingual text is a common challenge in social media data analysis, especially when working with user-generated...
Latent Class Analysis (LCA) and Latent Profile Analysis (LPA) are powerful statistical methods for identifying unobserved subgroups...
Data management in statistical analysis often requires consistent documentation across multiple datasets. Variable labels in Stata serve...
Many websites offer Application Programming Interfaces (APIs) that provide structured access to their data. Utilizing APIs is...
In this blog post, we’ll explore various graphing options in Stata using the NHANES2 dataset. The National...
To use a custom font in matplotlib graphs and figures in Google Colab, it isn’t as straightforward...
What are Instrumental Variables? Instrumental variable regression is a statistical method used when you suspect that there’s...
Propensity score matching (PSM) is a statistical technique that allows us to estimate the effect of a...
Aspect Fixed Effects (FE) Random Effects (RE) Definition Represent constant parameters that apply to all individuals in the sample. Capture variation across...
