AnandaMR
Ananda
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Milestone Report
1. Demonstrate that you've downloaded the data and have successfully loaded it in.
2. Create a basic report of summary statistics about the data sets.
3. Report any interesting findings that you amassed so far.
4. Get feedback on your plans for creating a prediction algorithm and Shiny app.
DataViz Explorer- Presentation
"DataViz Explorer" allows users to effortlessly explore various datasets, visualize key insights through interactive plots, and gain a deeper understanding of data trends. Choose from a selection of datasets, then customize your visualizations with scatter plots, box plots, or summary statistics to enhance your analysis. This app is designed to make data exploration intuitive and user-friendly, perfect for anyone looking to interact with data dynamically. Whether you're analyzing flower growth, car attributes, or dental studies, DataViz Explorer empowers you to make informed data-driven decisions.
3D Scatter Plot with mtcars Data
Project
Week 4
Developing Data Products. Cousera
R Markdown and Leaflet
Project
Week 3
Coursera: Developing Data Products
Analyzing the Impact of Severe Weather Events in the U.S. Using the NOAA Storm Database
This report analyzes the impact of severe weather events in the United States using the NOAA Storm Database, with a focus on the frequency and severity of these events, as well as their effects on public health and property damage. By processing and aggregating data from the database, we examine key weather event types, such as tornadoes, floods, and storms, and assess their respective contributions to injuries, fatalities, and economic losses.
The analysis is performed using R programming language and various data manipulation techniques such as dplyr for data cleaning, summarization, and aggregation, along with visualizations produced using ggplot2. The results reveal patterns in the most common and deadliest weather events over time, highlighting the regions most affected by severe weather.
In addition, the report identifies trends in the severity of weather-related damage to both human health and property, offering valuable insights for policymakers, emergency services, and communities to better prepare for future extreme weather events.