Final Presentation for coursera data science specialisation.

Capstone Milestone Report for Data Science Specialisation

This application is based on San Francisco Park Scores from kaggle (https://www.kaggle.com/danofer/sf-parks/data). The data contains average quarterly park evaluation scores in San Francisco, from Q3 FY2005 to Q4 FY2014. Data includes merged data with Recreation and Parks Facilities data, including location and descriptions. This application is divided in 5 tabs as follows: - Introduction: Contains a breif introduction - Data Summary: Contains the summary of the dataset - Data: Contains the data of the Zipcodes selected from the dropdown in the sidebar - Histogram of Scores: Contains a histogram of the Scores of the Zipcodes selected in the dropdown with number of bins set using the slider. Also various types of distributions can be plotted using the radio buttons. The bins of different zipcodes can by diffrentiated by color. - Plot: Contains a Scatter Plot of Square Feet of park vs its Score for the selected zipcodes. Different available facilities can also be seen by the color in the plot.

In this report, the goal is to analyze the impact of different weather events on public health and economy based on the storm database collected from the U.S. National Oceanic and Atmospheric Administration’s (NOAA) from 1950 - 2011. The data used will be estimates of fatalities, injuries, property and crop damage to decide which types of event are most harmful to the population health and economy. From these data, we found that high temperatures and tornado are most harmful with respect to population health, while flood, drought, and hurricane/typhoon have the greatest economic impacts.