Finished
This is a data analysis project about a data set provided by Great Learning and University of Texas at Austin about Real State in Australia, Melbourne , it has 27114 rows and 16 columns. It is not Big Data but it is one of my first aproches to a proper data analysis, and it will include a high level forecasting method (Holt-Winters) to try to make a good financial desition and make as much return on investment as possible for an hipotetic RealState firm.
The approach to the EDA:
- Sanity check
- Univariate Analysis
- Bivariate Analysis
- Missing Value Treatment
- Outlier Detection and Treatment
- Conclusions
Skills and tools used to the completation of this small project: Python.Libraries ( numpy, pandas, matplotlib, seaborn )