sowmyathipparthi Goto Github PK

dash-by-plotly

Interactive data analytics

edmunds--statistical-analysis--python-r

Edmunds is one of America’s renowned automobile information resource where customers can obtain information deals associated with used as well as new cars. To analyses the enormous amount of data generated from their website. Car reviews for more than forty brands from its website is analyzed and visualized using various models including the sentimental analysis, text classification and topic modelling have been performed. The primary goal of this project is to help the customer select the right brand, based on the real time opinion of thousands of customers, all information concerning the car be it the vehicle’s make, model, the capacity and the review data is considered. The reviews data is analyzed and used for building a customer friendly dashboard that gives away all the information about cars and the customer satisfaction levels through a few clicks.

github-slideshow

A robot powered training repository :robot:

ubervs-lyft-analysis

world-women-health_sas-sql

“IT COSTS MONEY TO BE HEALTHY BUT IT’S EVEN MORE EXPENSIVE TO GET SICK” Health is a fundamental aspect of quality of life, not only because being free from illness or injury directly affects our capacity to enjoy life, but also because health indirectly affects our capacity to produce and consume other valuable goods and services. Whilst the Global Burden of Disease (GBD) assessment assigns each death to one specific cause, we know that the risk of disease burden and health outcomes are closely linked to several risk factors. It includes risk factors across four broad categories: behavioral, environmental, occupational, and metabolic risks. High BMI, for example, may likely be present with other lifestyle factors such as low physical activity levels, high blood pressure, low fruit and vegetable intake, environmental factors including clean water and sanitation. As women represent 51% of total population and study reveals not only women suffer from gender specific disease but also they are diagnosed with disease which were previously considered to have affect only on men, and as a result we decided to explore some factors contributing to health of women. It is also true that BMI for people residing in rural areas differ from BMI for people residing in urban areas. There are many factors which in correlation can be responsible for degrading the quality of life and which can have impact on average life expectancy of women.