This report is the result of the 2024 Hanium ICT project, which uses Microsoft Fabric to predict and visualize weather data in South Korea. (https://www.hanium.or.kr/)
To do predictive analytics, we collect data, preprocess it using Notebook and create a data table in Lakehouse.
We evaluate multiple models in Notebook to select a model and further evaluate the model by comparing the 2023 forecast to actual data.
We then visualize the results of our climate change trend and forecast analysis in Power BI to draw insights.
o Data Source
- KMA National Climate Data Center: https://data.kma.go.kr/
o Contributor
- Mentee: Sohee YANG, Dongduk Women's University - Senior
- Mentee: Juri LEE, Dongduk Women's University - Junior
- Mentee: Jihee HAN, Dongduk Women's University - Junior
- Mentor: Hongju JUNG, Microsoft Data Platform MVP – Power BI
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