Fish Telemetry Data Analysis - R

A small subset of the Lake Winnipeg telemetry data is collected. The purpose is to analyze this data to find out interesting insights about the fish inhabitants. A few highlights are as follows: the distribution of different species, the certain area where specific species can be found, and the time period of their perambulation. The data has the following attributes: Date - A timestamp for when a receiver (station) detects a transmitter detection Name - A unique station name for each receiver in the study ReceiverLong - The longitude of the receiver ReceiverLat - The latitude of the receiver FishID - A unique identifier for each species tagged in the study Species - Species of the tagged fish This Project’s GitHub Repository

March 27, 2017

COVID 19 USA Dashboard - Tableau

An interactive visualization dashboard including different states’ (of USA) confirmed cases and the number of deaths. The visualization presents different calculations such as top N states (i.e., N can be changed from the dashboard) with total confirmed cases and deaths, new cases and deaths; case fatality rates (CFR) on time series data collected from https://github.com/nytimes/covid-19-data. The interactive dashboard is created using Tableau Desktop. Different pie charts, maps, line charts, and stack bars are used in this visualization.

March 26, 2017

COVID 19 World Visualization Dashboard - Tableau

The dashboard presents an interactive visualization of the latest COVID-19 updates. It includes the trend line of the time series data, geographic map, cumulative & newly confirmed, active, death, and recovered cases. It also presents a calculation on Case Fatality Rate (CFR), confirmed & death cases in 100,000. The regular update is taken from https://github.com/datasets/covid-19. Data is preprocessed using Tableau prep builder. Tableau is used for the visualization. In this visualization, users can drill down to the country to see region-specific details (new cases and trends) and also overall comparisons among different regions.