Understanding and Pre-Processing Sedentary Behavior Data (Pt1) - Data Analysis for SB Mini Series
About the Mini-Series:
"Data Analysis for Sedentary Behavior" is a meticulously crafted mini-series dedicated to offering an in-depth perspective into the world of data pertaining to sedentary behavior and physical activity.
Across six insightful episodes, our host Dr. Olli Tikkanen, an eminent researcher, will elucidate various facets of data analysis, ranging from understanding and pre-processing of data to deploying sophisticated analytical techniques.
The series offers valuable insights to both novice and seasoned researchers, aiming to streamline the process of conducting sedentary behavior and physical activity measurements.
About the Episode Topic:
In the inaugural episode titled "Understanding and Pre-processing Data for Sedentary Behavior Analysis", Dr. Tikkanen delves into the essence of data. Different data types such as accelerometer readings, self-reported survey responses, and observational data each come with their unique traits and challenges. Comprehending these characteristics paves the way for an effective analysis.
The episode transitions into a comprehensive discussion about pre-processing data, an essential step in readying the data for analysis. Dr. Tikkanen outlines this process, which involves data cleaning, handling of missing values, and transforming data into analysis-friendly formats. Ensuring data integrity through pre-processing facilitates efficient and accurate analysis, a key to successful research.
[00:00:00 - 00:02:00] Unraveling Data Types
[00:02:00 - 00:03:00] Pre-processing Data: An Overview
[00:03:00 - 00:03:30] The Science of Data Cleaning
[00:03:30 - 00:04:00] Handling Missing Data
[00:04:00 - 00:04:30] Transforming Data for Analysis
[00:04:30 - 00:05:00] Journey to Analyzing Sedentary Behavior