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 | |
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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 | |
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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 |