Identifying the cities that require immediate attention to their increasing air pollution

This project is done under Data Science Specialization on Coursera. The project is to create a Shiny App that uses a predictive algorithm that recommends the most likely words that would follow a particular text phrase typed by the user based on previous 1,2 or 3 words typed. The link for the app is - https://deeptichauhan.shinyapps.io/PredictiveTextApp/

This is a Shiny App which shows the population of elephants, tigers and leopards in different states of India. The side panel gives the option of selecting one or more of the animals On the main panel is a map drawn using Leaflet package to dynamically show the population. The size of the circle corresponds to the population. The color of circle corresponds to the animal selected. On clicking on the icons, the user can see the details - Name of the state, name of the animal and the population. you can find the app here - https://deeptichauhan.shinyapps.io/shinyapp/?_ga=2.229558426.7868427.1596195502-75157764.1596195502

This document was made on "2020-07-31" by Deepti for a project under Coursera Developing Data Products course. In this project, I have created a demo data of online conversations about a fictional brand. The data shows in how many conversations the brand name was mentioned by the customers in online platforms. The online platforms covered are 1. Facebook 2. Twitter 3. Instagram 4. News Articles like BBC, Times of India 5. Reviews platforms like Amazon, Flipkart The time period concerned in January 2020 to June 2020

Data has been taken from Wikipedia on 30th July 2020