📅 2023-02-16 — Session: Analyzed Infrastructure Investment and Social Indicators
🕒 03:00–05:10
🏷️ Labels: Infrastructure, Social Indicators, Data Analysis, Open Data, World Bank, Python
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to analyze the relationship between infrastructure investment and social indicators, leveraging open data sources and statistical methods.
Key Activities
- Project Update: Provided insights into the progress of analyzing infrastructure investment and social indicators.
- Email Communication: Suggested effective email subject lines to enhance communication regarding the infrastructure project.
- Statistical Evaluation: Outlined evaluation tests for infrastructure investment studies, including various statistical analyses.
- Open Data Exploration: Identified reliable open data sources and portals for researching infrastructure impacts on social indicators.
- API Utilization: Demonstrated accessing World Bank data using Python, including retrieving mean income and GDP data.
- Data Reference: Provided information on World Bank Open Data reference files for geographic and economic filtering.
Achievements
- Established a comprehensive plan for evaluating infrastructure investment studies.
- Successfully identified and accessed relevant open data sources and APIs for further analysis.
Pending Tasks
- Further analysis and discussion on the relationship between infrastructure investment and social indicators based on the gathered data.
- Implementation of the outlined statistical tests to validate the study’s findings.