Space Mission Analysis

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Market Data Analysis

Dashboard Overview

Geographic Distribution

Demand Analysis

Restaurant Locations

Top Restaurants

Age Distribution

Features First Project

• Data Upload: Upload your own CSV files to analyze custom datasets.

• Filters: Filter data by sector, event type, age group, and date range.

• KPI Cards: View key performance indicators such as total customers, average age, total sales, and total countries.

• Visualizations:

  • Pie Charts: Distribution of education levels and average age groups.
  • Bar Charts: Analysis of marital status and spending by product category.
  • Line Charts: Trends in sales and customer growth over time.
  • Map: Geographic distribution of customers.

• Data Table: Interactive table to view and filter detailed data.

• Email Notifications: Send email notifications with data updates or reports.

  Second Project

  This Shiny app provides an interactive dashboard for visualizing restaurant data.

1. Highest Rated Restaurants

2. Consumer Demographics

3. Demand & Supply

4. Restaurant Database

The following R packages must be installed:

install.packages(c("shiny", "ggplot2", "plotly", "dplyr", "readr", "leaflet", "sf", "rnaturalearth", "rnaturalearthdata", "lubridate", "tidyr", "shiny.fluent", "imola", "DT", "fontawesome", "blastula"))