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RohitBanerjee

Rohit Banerjee

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Health Info App
petro exports
Gold and Diamond dataset
Strom Data Analysis
Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern. This project involves exploring the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage. In this report,effect of weather events on personal as well as property damages was studied. Barplots were plotted separately for the top 10 weather events that causes highest fatalities and highest injuries. Results indicate that most Fatalities and injuries were caused by Tornado.Also, bar plots were plotted for the top 10 weather events that causes the highest property damage and crop damage.
Analysis of data from activity monitoring device
With the advancement of technology ,it is now possible to collect a large amount of data about personal movement using activity monitoring devices such as a Fitbit, Nike Fuelband, or Jawbone Up. These type of devices are part of the “quantified self” movement – a group of enthusiasts who take measurements about themselves regularly to improve their health, to find patterns in their behavior, or because they are tech geeks. But these data remain under-utilized both because the raw data are hard to obtain and there is a lack of statistical methods and software for processing and interpreting the data. Here we have used an activity data set to analyse and understand the pattern of steps of an individual taken at 5 minute intervals.