This React Js and Leaflet dashboard provides an interactive tool for analyzing event frequency and distribution across Lebanon. Users can explore event occurrences through a time series and geographic map, enabling dynamic date-range selection and color-coded categorization. The dashboard is designed for visualizing spatial and temporal patterns, making it easier to understand the distribution and intensity of events across Lebanon.
This R Shiny and Leaflet dashboard provides an interactive tool for analyzing event frequency and distribution across Lebanon. Users can explore event occurrences through a time series and geographic map, enabling dynamic date-range selection and color-coded categorization. The dashboard is designed for visualizing spatial and temporal patterns, making it easier to understand the distribution and intensity of events across Lebanon.
I developed an interactive map using Power BI and shape maps to visualize event occurrences across Lebanon. The map displays data at multiple administrative levels, including localities, Caza (districts), and Mohafaza (governorates), providing a comprehensive view of event distribution. This project leverages data visualization to present geographic insights into Lebanon’s administrative divisions, enabling detailed analysis across regions.
I developed this by R, Respiratory Infection Surveillance Dashboard to monitor Severe Acute Respiratory Infections (SARI) in inpatients. It includes visualizations of weekly sample collections, COVID-19 positivity rates, and influenza trends, offering key insights into infection patterns. This project demonstrates my skills in using R for data analysis and visualization in the public health domain
I have developed this interactive attendance dashboard using Power BI to track and monitor check-in and check-out activity across different locations in 2024. The dashboard displays data by day, month, and year, and includes a status map for visualizing check-in points. It provides an overview of total check-ins, check-outs, and admin statistics. This tool is designed to facilitate the management of attendance records and enhance oversight through easy-to-read visual elements and filters.
I have developed this interactive finance dashboard using Power BI to visualize key sales metrics for the year 2024. It includes an overview of total sales, units sold, and detailed breakdowns by product, country, and month. The dashboard also provides insights into profit distribution across various business segments, utilizing bar charts, pie charts, and geographical maps to make data analysis more intuitive and actionable. This dashboard serves as a dynamic tool for monitoring financial performance and making informed business decisions.
I am proud to present my Shiny app projects, Sari and Ili, which you can access. This project involved extensive work with various libraries and technologies to create a highly polished and user-friendly output. I meticulously crafted this application, leveraging the power of R programming, Shiny, and several libraries to deliver an optimal user experience. Through my work on this project, I gained valuable expertise in data visualization and web development, honing my skills in ensuring a flawless end product. Link
I have created a dynamic ShinyApp that simplifies the analysis of measles data. Users can effortlessly upload their measles dataset, and the app takes care of data cleaning, analysis, and checking for null values. Behind the scenes, this app leverages several powerful libraries to ensure a comprehensive analysis. The results are presented in an interactive DataTable, allowing users to explore and interact with the data. Additionally, for further offline analysis or sharing, users have the option to download the summarized table as an Excel file. This ShinyApp streamlines the process, making it easier than ever to gain insights from measles data.Link