his report analyzes data from 187 countries to understand what drives overall statistical performance. Using the World Bank Statistical Performance Indicators (SPI) dataset from 2023, we explore which data capability dimensions -- such as data use, data products, and data infrastructure -- are most strongly associated with a country's overall score. The analysis includes exploratory data visualizations, a hypothesis test comparing income groups, and regression models to identify the strongest predictors. The findings are intended to help international development organizations decide where to focus their investments when supporting countries with weak data systems.

StuVul buri 2026

Bertujuan untuk memahami proses pembangkitan dan pemodelan data time series menggunakan model ARIMA. Data dibangkitkan dengan model ARIMA(1,1,1) dengan parameter tertentu, kemudian dilakukan analisis. Model terbaik dipilih berdasarkan nilai AIC terkecil, yang menunjukkan bahwa hasil pemodelan tidak selalu sama dengan model awal pembangkitan data.

Modul ini membahas penerapan dan perbandingan metode LDA dan Regresi Logistik Multinomial pada dataset Balance Scale, mulai dari eksplorasi data, pengujian asumsi, hingga evaluasi kinerja model.

Analyzed data to see if there was an association between sunlight needs and water needs, as well as if certain cultivation groups tend to need more nutrients and if they tend to be more hardier than others