I am confident in my abilities to deliver high-quality data reporting and dashboarding services, and I would be happy to share my past work upon request. Additionally, a mix of JavaScript and CSS was used for overall styling of the app. To visualize the data, the project used Highcharter, a popular R package for creating interactive and visually appealing charts and graphs. The dashboard also includes tables that compute different statistical measures for comparison of price offerings of different brands in different categories. Although the data used in this dashboard is dummy, the purpose of the project was to allow clients to explore the range of offerings based on genders and age groups. The project I would like to share is related to the market share analysis of different clothing brands. I am excited to share my recent work on a data reporting and dashboarding project using R Shiny. #datanalytics #shinydashboard #datawrangling #datacleaning #visualization #leaflet #echarts #Rgdal #bootstrap #interactivity #markers #datainsights #jobsearch #excel #taskautomation #rstats #rstudio #powerpoint

If you're interested in similar data analytics projects or know of any opportunities in this field, please feel free to reach out to me. Finally, published the Shiny app on the Shiny.io server's free version, which meant there were no costs associated with hosting.

Overall, this project proved to be a success in transforming a static presentation into an interactive report that provides users with valuable insights. I also added markers with popups for additional insights. In addition, I incorporated interactivity to the leaflet map, enabling users to click on specific regions and view corresponding stats in a table format. Excited to share my recent project where I turned a static power point presentation into an interactive report using a shiny dashboard! By utilizing dplyr, tidyr, echarts, leaflet, and Rgdal for data cleaning, wrangling, and visualization, I was able to create an interactive and user-friendly dashboard that allowed users to upload their data with ease.

Rstudio shiny app