So far, the contents are from StatQuest

Analyzing a dataset that I found in kaggle

Riesgo de crédito.

This analysis examined teacher feedback from Marymount International School Rome collected in January and June 2025, exploring priorities for enhancements to the school’s data dashboard. By merging cleaned survey data from both collection periods (39 teacher responses across ECC, Elementary, and Secondary), the study identified the most frequently requested features. Thematic and text analyses revealed strong demand for progress tracking tools and grade-level comparisons, alongside interest in behavior and attendance monitoring, assessment clarity, and individualized insights. Visualizations—including top word counts, thematic bar charts, and word clouds by division—highlight the distinct needs across school sections, supporting the development of a more dynamic and responsive dashboard for holistic student data.

Neste artigo, adotamos o método manual para realizar a análise de componentes principais.

for SRF/FF 2025