Data Analytics

The final project of the Homes dataset considers how all my attributes affect the dependency of homes data and also creates piecharts and hypothesis tests on the dataset.

Creating Time-based data on Homes data and establishing a tsibble object of the date and response variables. By conducting, we learned the upward and downward trend on home data.

Building a linear model with variables taken from the Homes data, highlighting the issues caused by columns, and creating coefficients based on Homes data.

Building a logistic regression model for the variables of home data and also building a C.I and explaining about why we need the transformation based on homes data.

Designing a null hypothesis for an ANOVA test for homes data and also building a linear regression model of the response.

Creating Hypotheses based on two different aspects of Homes data and building the visualizations that illustrate the results from the pairs of hypothesis tests.

Building variable combinations based on new columns created and calculating correlation coefficients among them based on Homes data.

Listing out 3 columns and building an visualization report on MY Homes data

Sampling and Drawing Conclusions --> Creating Sub-samples of data

Group by and probabilities based on details of number and about houses present in New York from homes in San Francisco.

Study on Dataset of homes in San Francisco and New York