Data Analysis

What is Data Analysis?

Data analysis is a process that tells the saga of Data. It involves finding data, collecting it, followed by cleaning and examining data, and finally modeling it, to derive insights and information that help understand and make better data-driven decisions. 

This section talks about interactive web applications through Posit Shinyapps that use data analysis with R to visualize the data for its user. 

I enjoy using the six phases of Data analysis: 

All these 6 phases constitute the Data Analysis Life Cycle.

Data Analysis Life Cycle defines the entire process involved in the Analysis of Data, from business case definition to reliable insights shared for decision making.

Why Data Analysis?

Every day businesses drive in numerous amounts of data. These data when transformed in the right way tell a story of their own.  This transformation process is known as 'Data Analysis' and the story that it brings out is called 'Data Insights'.  These insights are in the form of reports and reveal results and recommendations. 

Insights bring-forth various opportunities that businesses could use to grow in profit or market and entrepreneurs could use to launch a new product or business. Moreover, Data Analysis helps businesses with insights into their sales, marketing, product development, finance, human resource management, customer experience, and many more in real-time. It helps businesses in analyzing their past as well as current performances and optimize their future business processes. 

So, Data Analysis displays its high importance in helping organizations by answering their questions with data-directed results, and business owners by providing them with data-driven facts for the right decision-making over intuitive ones.

R-Shiny Apps

Shiny is an  R package that extends JavaScript, CSS themes, and HTML widgets to create an interactive web application using R.  Every Shiny application has its own SSL encrypted protected environment.

Barrosa Valley Properties

Barrosa Valley Dataset includes properties that have different types of rooms. With this application, I tried to visualize the data in the form of Map Locations for hotels and filter them using the drop-down menu of room types. Click here:  (Barrosa Valley - Hotels/Properties Map Locations)

Victoria Covid-19 Cases

Victoria Covid-19 dataset consists of cases diagnosed in 2020 based on the local governing area of Australia. With this application, I tried to visualize the data into charts filtering them based on how the cases became COVID positive. Click here : (Victoria Covid19-Cases of 2020)

Tennis Grand Slam Winners 

The Grand Slam dataset consists of tournaments and their respective winners. With this application, I tried to visualize the winners of the tournaments into charts based on their wins in each game. Click here: (Grand Slam Tournaments)

Data structures and Algorithms with R Programming

Data structures and algorithms are the backbones of any programming language. This mini-project showcases solutions to some of the most common problems in a shiny application using R programming. Click here: (DSA Programs)