You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
An IBM Skills Network course to become familiar with Python statistical tools.
Jupyter Notebook of the final project. Shared with MyBinder.
Stephane Dedieu November 2022
Insights in Boston real estate - Statistical analysis.
Home prices v. various features.
Descriptive Statistics - Statistical Analysis - Tests.
Levene Test (Variances), T-test, ANOVA, Pearson Correlation, Regression analysis.
The following describes the dataset variables:
$$
\begin{array}{|c|c|}
\hline
\small\textbf{Code} & \small\textbf{Features} \\
\hline
\small\text{CRIM} & \small\text{per capita crime rate by town} \\
\hline
\small\text{ZN} & \small\text{proportion of residential land zoned for lots over 25,000 sq.ft} \\
\hline
\small\text{INDUS} & \small\text{proportion of non-retail business acres per town.} \\
\hline
\small\text{CHAS} & \small\text{Charles River dummy variable (1 if tract bounds river; 0 otherwise)} \\
\hline
\small\text{NOX} & \small\text{nitric oxides concentration (parts per 10 million)} \\
\hline
\small\text{RM} & \small\text{average number of rooms per dwelling} \\
\hline
\small\text{AGE} &\small\text{proportion of owner-occupied units built prior to 1940} \\
\hline
\small\text{DIS} & \small\text{weighted distances to five Boston employment centres} \\
\hline
\small\text{RAD} & \small\text{index of accessibility to radial highways} \\
\hline
\small\text{TAX} & \small\text{full-value property-tax rate per \$10,000} \\
\hline
\small\text{PTRATIO} & \small\text{pupil-teacher ratio by town} \\
\hline
\small\text{LSTAT} & \small\text{\% lower status of the population} \\
\hline
\small\text{MEDV} & \small\text{Median value of owner-occupied homes in \$1000's} \\
\hline
\end{array}
$$
Note: Boston home price dataset is pretty old. 1970s.