📅 2023-10-17 — Session: Streamlined Data Analysis and Visualization Workflow
🕒 07:00–08:30
🏷️ Labels: Data Analysis, Python, R Programming, Visualization, Task Management
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to enhance data analysis and visualization workflows, focusing on time management, task prioritization, and efficient use of Python and R programming languages.
Key Activities:
- Guidance was provided on managing time effectively for task deliveries.
- A structured plan was outlined for prioritizing data analysis tasks, including creating a codebook and addressing R script issues.
- A Python script was developed for loading CSV files, displaying column names, and generating basic statistics.
- Steps for constructing histograms from datasets were clarified, including handling missing variables and visualization preferences.
- Enhanced data visualization code was created to include text information and value counts.
- A Jupyter Notebook script was designed for clear data analysis and visualization.
Achievements:
- Developed a streamlined Python script for CSV processing and data visualization.
- Enhanced data visualization techniques with additional statistical insights.
Pending Tasks:
- Further clarification needed on histogram construction details, including stacking order and handling missing variables.