  Peruvian mining plays a crucial role in the country's economy, being one of
the main producers and exporters of minerals worldwide. In this project, an
application was developed in RStudio that utilizes statistical analysis and
time series modeling techniques to understand and forecast mineral extraction
in different departments of Peru. The application includes an interactive map
that allows users to explore Peruvian geography and obtain detailed statistics
by clicking on each department. Additionally, bar charts, pie charts, and
frequency polygons were implemented to visualize and analyze the data. Using
the ARIMA model, predictions were made on the future extraction of minerals,
enabling informed decision-making in planning and resource management within
the mining sector. The application provides an interactive and accessible tool
to explore the Peruvian mining industry, comprehend trends, and make accurate
forecasts. These predictions for 2027 in total annual production are as
follows: Copper = 2,694,957 MT, Gold = 72,817.47 kg Fine, Zinc = 1,369,649 MT,
Silver = 3,083,036 MT, Lead = 255,443 MT, Iron = 15,776,609 MT, Tin = 29,542
MT, Molybdenum = 35,044.66 MT, and Cadmium = 724 MT. These predictions, based
on historical data, provide valuable information for strategic decision-making
and contribute to the sustainable development of the mining industry in Peru.
