Before you can analyze data, you need a place to write and run code. Traditionally, this meant...
Nari
This post introduces pandas, Python’s essential library for working with data. If the previous post on Python...
This post will introduce you to Python fundamentals. These basics are essential before we move on to...
Often we need to aggregate or merge tract-level data up to county or MSA (Metropolitan Statistical Area)...
Mediation analysis helps us understand the “how” or the “why” behind a relationship between an independent variable...
Geocoding transforms textual location descriptions into geographic coordinates that computers can understand and analyze. This process converts...
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...
When collaborating on academic writing or organizing references from older documents, you often receive Word files or...
Latent Class Analysis (LCA) and Latent Profile Analysis (LPA) are powerful statistical methods for identifying unobserved subgroups...
Understanding Variables, Values, and Labels Before diving into codebook creation, you need to understand the fundamental terminology...
