
Zas Dashboard
Analytics & Data VisualizationFrontend Developer
ReactINE APIsData VisualizationRechartsTypeScript
An employment analytics platform visualizing labor market metrics. Integrates statistics Spanish National Institute of Statistics (INE) into an interactive dashboard policymakers, researchers.
Zas Dashboard is an employment analytics platform developed to visualize key labor market metrics, integrating official statistics from the Spanish National Institute of Statistics (INE). The platform serves as an interactive and clean dashboard aimed at policymakers and researchers, facilitating data-driven decision-making and analysis.
The project involved complex data integration from multiple INE APIs, requiring efficient handling of large datasets and meticulous attention to detail to ensure accuracy and reliability of the displayed statistics.
**Key Achievements:**
- Integrated multiple INE APIs, efficiently handling datasets with over 100,000 rows, and ensuring accurate and timely data representation
- Built comprehensive statistics cards for employment, unemployment, and job offer metrics, providing users with at-a-glance insights into labor market conditions
- Designed and implemented logic for computing derived statistics from raw API data, enhancing the value and usability of the provided data
- Optimized client-side data parsing and processing for large payloads, significantly improving dashboard load times and responsiveness
- Developed solutions for handling missing and inconsistent regional salary data, ensuring a complete and accurate dataset for analysis
- Delivered an interactive dashboard that transforms complex datasets into clear, understandable insights, tailored for policymakers and researchers
**Impact:** Zas Dashboard provides a crucial tool for employment analytics, offering deep insights into labor market trends and dynamics, and supporting policymakers and researchers in their decision-making processes with reliable and comprehensive data visualizations.
The project involved complex data integration from multiple INE APIs, requiring efficient handling of large datasets and meticulous attention to detail to ensure accuracy and reliability of the displayed statistics.
**Key Achievements:**
- Integrated multiple INE APIs, efficiently handling datasets with over 100,000 rows, and ensuring accurate and timely data representation
- Built comprehensive statistics cards for employment, unemployment, and job offer metrics, providing users with at-a-glance insights into labor market conditions
- Designed and implemented logic for computing derived statistics from raw API data, enhancing the value and usability of the provided data
- Optimized client-side data parsing and processing for large payloads, significantly improving dashboard load times and responsiveness
- Developed solutions for handling missing and inconsistent regional salary data, ensuring a complete and accurate dataset for analysis
- Delivered an interactive dashboard that transforms complex datasets into clear, understandable insights, tailored for policymakers and researchers
**Impact:** Zas Dashboard provides a crucial tool for employment analytics, offering deep insights into labor market trends and dynamics, and supporting policymakers and researchers in their decision-making processes with reliable and comprehensive data visualizations.
Highlights
- Integrated multiple INE APIs handling 100k+ row datasets efficiently
- Built statistics cards for employment, unemployment, and job offer metrics
- Designed logic for computing derived statistics from raw API data
- Optimized client-side data parsing for large payloads
- Handled missing and inconsistent regional salary data gracefully
- Delivered interactive dashboard converting complex datasets into clear insights
