Household Inflation Patterns in Malaysia: A Data-Driven Analysis using AI
Keywords:
Household inflation, Data, Phyton, Artificial IntelligenceAbstract
The cost of living among Malaysian households has increased significantly as inflation has grown faster than household income. This issue particularly affects urban residents, where living expenses are substantially higher than those in rural areas. This study examines household inflation trends in Malaysia between the year 2020-2024 using data obtained from the Department of Statistics Malaysia (DOSM). After data cleaning and filtering, Python-based artificial intelligence tools are employed to identify and categorize current household inflation patterns. The findings are then visualized using interactive Power BI dashboards to enhance clarity and support accessible interpretation for a wide range of audiences.
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