Achmad Zaidan Darmawansyah 2502056072

Achmad Zaidan Darmawansyah 2502056072

How rooftop solar changed the timing of Victoria's negative wholesale electricity prices, 2016–2026. MATH2270 Assignment 3, RMIT University.

An interactive data visualisation report exploring changes in alleged-offender patterns across Victoria from 2017 to 2026. Using publicly available data from the Crime Statistics Agency Victoria, the report presents four interactive Plotly visualisations examining offence trends, changes across offence categories, Indigenous-status comparisons, and shifts in offence composition.

Achmad Zaidan Darmawansyah 2502056072

Achmad Zaidan Darmawansyah 2502056072

Interactive data storytelling report on CO₂ emissions in seven different countries between 1990 and 2024. Five different graphs are used to compare per capita emissions, total emissions, population, trend analysis, and economic growth. Made for RMIT MATH2270 using Our World in Data.

Greece since 2000, in five chapters: a boom until 2008 (income per person +33%), a crisis until 2013 (−26%, with unemployment at 28% and 58% for young people), a slow recovery until 2019, the COVID shock of 2020, and a rebound that still leaves income per person 8% below 2008. Investment fell from about a quarter of the economy to a tenth and has only partly returned. The population shrank to 10.4 million and grew older, and coal fell from 64% of Greece's electricity to 5%. The story explains each of these in plain words and shows how golemworldbank's indicator_change() gives a clear answer only when you compare the right years.

Rumusan masalah Bagaimana gambaran (statistik deskriptif) luas panen dan produksi padi kabupaten/kota di Provinsi Banten tahun 2025, dan apakah keduanya saling berkorelasi? Bagaimana sebaran spasial luas panen dan produksi padi di Provinsi Banten? Apakah terdapat autokorelasi spasial bivariat global antara luas panen dan produksi padi, dan pembobot spasial mana (invers jarak, k-NN, Queen Contiguity) yang terbaik? Wilayah mana yang membentuk klaster (High-High, Low-Low) atau pencilan spasial (High-Low, Low-High) menurut LISA Bivariat?