📅 2023-10-23 — Session: Developed advanced correlation functions in Pandas
🕒 22:10–23:45
🏷️ Labels: Python, Pandas, Data Analysis, Correlation, Data Cleaning
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The goal of this session was to enhance data analysis capabilities by developing advanced correlation functions using Python’s Pandas library.
Key Activities:
- Implemented a function to compute correlations of a specified column with all other columns in a Pandas DataFrame.
- Developed a method to compute correlations using MultiIndex for better organization of results.
- Explored the use of the
min_periodsparameter to ensure correlations are calculated only with sufficient data. - Created a function to handle missing values in correlation calculations, ensuring robust results.
- Implemented a function to compute correlations considering only non-missing values.
- Developed a function to find equivalent time series based on correlation thresholds.
Achievements:
- Successfully developed multiple functions that enhance the ability to analyze correlations in data, accommodating various data integrity and organization requirements.
Pending Tasks:
- Further testing and validation of the developed functions in diverse datasets to ensure reliability and performance.