day 11

NOTES

This R Markdown assignment focuses on leveraging R Studio . By using R Markdown, we combine code, narrative, and data visualizations in a single document, providing a comprehensive and dynamic report for business analysis. The goal of this assignment is to demonstrate how to apply data analysis techniques and visualize key business metrics to derive actionable insights for decision-making.

This project provides a spatial visualization of the distribution of medical personnel across all districts and cities in East Java Province using R. By utilizing spatial data and mapping tools such as `sf`, `ggplot2`, and `tmap`, the visualization highlights regional disparities in the availability of healthcare workers. The goal is to offer a clearer understanding of healthcare resource distribution and support data-driven decision-making in public health planning.

Visualisasi ini menampilkan data historis harga saham PT Telkom Indonesia (TLKM), PT Bank Rakyat Indonesia (BBRI), dan PT Semen Indonesia (SMGR) dari 29 Maret 2023 hingga 27 Maret 2025 dalam bentuk grafik time series. Analisis mencakup identifikasi titik tertinggi (peaks) dan terendah (valleys) menggunakan ggpmisc, serta perbandingan ketiga saham dalam satu grafik untuk melihat pergerakan harga secara bersamaan. Visualisasi dibuat dengan R menggunakan paket ggplot2, lubridate, dan dplyr.