Graphical Analysis
Once the pandas dataframe is given, using data visualization methods we will get corresponding data in the form of graph.

Correlation Heatmaps¶

| Method Name | correlation_heatmap | |
|---|---|---|
| Method Description | This method will be used to generate interactive heatmap plot to show the pairwise correlation of input variables | |
| Input parameter names | self,dataframe | |
| Input Parameter Description | data: the input dataframe with target column | |
| ouptput | son file with correlation information that can be used by plotly to generate interactive plots. | |
| On Exception | Write the exception in the log file. Raise an exception with the appropriate error message |
Check for balance/imbalance¶

balance_imbalance_check
| Method Name | balance_imbalance_check | |
|---|---|---|
| Method Description | This method will be used to plot the balance/imbalance datasets using barplot/countplot | |
| Input parameter | self, dataframe, target column | |
| Input Parameter Description | data: the input dataframe with target column. | |
| target: target column name. | ||
| ouptput | plot of target variable value count. | |
| On Exception | Write the exception in the log file. Raise an exception with the appropriate error message |