![visualizations.png](slUIvZZcCtVH)
[Visualizations](flow_zone:S4AWEeK) zone prepares the data for the visual displays. 
 - compute_Sales_marketing_visualizations[compute_Sales_marketing_visualizations](recipe:compute_Sales_marketing_visualizations) recipe folds the marketing features from the omnichannel dataset into three long column's format. Recall the in the [Data Model](article:11) we request the user to include a suffix at the end of every channel: ```_min_avg_time, _success, _attempt```. Beyond the distinguish of marketing effort and user responds we use these columns to generate displays with multiple (flexible to user inputs) graphs. 
 - [compute_Sales_marketing_scored_prepared](recipe:compute_Sales_marketing_scored_prepared) converts the SHAP features and values from dictionary format to dataframe columns.
 - The rest of filter recipes sesrve the standard webapp in the [2. Brand Adoption by HCP](dashboard:4EblZMk) that shows the results for individual healthcare provider accounts. 

![extractfeatures.png](NJfD1gzRzrQj)
[Extract Filters for Project Setup](flow_zone:KtUrvYj) zone extracts the unique values of multiple features that are used on the filtering options (dropdown, select) for features on the DKU Application.
