naga2hands/JLPT_Applicants_by_TestSite
I collected the “Applicants & Examinees by Test Site” data for the Japanese Language Proficiency Test (JLPT) from 2010 to 2024 directly from the Japan Foundation’s website. Used the open-source tool Tabula. With this dataset, there are several interesting areas for exploration as a data analyst or researcher: 📊 Possible Analysis Directions: Year-wise trends in applicants & examinees across test sites. Geographical distribution of test-takers to spot high-participation vs underserved areas.… See the full description on the dataset page: https://huggingface.co/datasets/naga2hands/JLPT_Applicants_by_TestSite.
I collected the “Applicants & Examinees by Test Site” data for the Japanese Language Proficiency Test (JLPT) from 2010 to 2024 directly from the Japan Foundation’s website. Used the open-source tool Tabula. With this dataset, there are several interesting areas for exploration as a data analyst or researcher:
📊 Possible Analysis Directions:
Year-wise trends in applicants & examinees across test sites. Geographical distribution of test-takers to spot high-participation vs underserved areas. Annual growth rates per site to detect rapidly changing demand regions. Session-wise patterns in registration and attendance. Anomalies linked to external events or policy changes. Forecasting future test volumes using time series or regression models. Correlations with demographic or economic factors. Visualizations (heatmaps, bar charts, trend lines) to present insights clearly.