# Slide presentation

This slide helps in monitoring the *'number of transactions'* and *'average number of items per transaction'*  involved in the **Market Basket Analysis**. 

:warning: **Disclaimer 1**: These charts are done **AFTER both the transactions and the items are handled in the [transactions_preprocessing](flow_zone:3La1CrK) zone**, based on the parameters you set in your application (Learn more about [the transactions preprocessing](article:50) or the [association rules computation](article:51)).

:warning: **Disclaimer 2**: On the pictures below, charts have been computed using the "Country" column as an *association rule scope* ([Learn more about this concept](article:51)). Your render will be different (only one time series on *'all_data'* for each graph) if you don't define a rule scope.


![slide_1_overview.png](Xs9HhqEFB6rZ)


# Slide charts

## Number of transactions over time (Left-hand side of the dashboard)

These charts show the evolution of your number of transactions over time, for different time granularities: a daily one, a weekly one and a monthly one.

### Daily number of transactions
![slide_1_daily_number_of_transactions.png](aq9vCycrjpE1)

### Weekly number of transactions
![slide_1_weekly_number_of_transactions.png](BirHnf19cnwO)

### Monthly number of transactions
![slide_1_monthly_number_of_transactions.png](6AeUybz6Ynhw)


## Average number of items per transaction over time (Right-hand side of the dashboard)

These charts show the evolution of your average number of items per transaction over time. Like in the previous charts, it is done with daily, weekly and monthly time granularities


### Daily average number of items per transaction
![slide_1_daily_average_number_of_items_per_transactions.png](gRs2shiUKr4Y)

### Weekly average number of items per transaction
![slide_1_weekly_average_number_of_items_per_transactions.png](6pLBx5y6IjYO)

### Monthly average number of items per transaction
![slide_1_monthly_average_number_of_items_per_transactions.png](XARrM4q14GCZ)


# Leveraging these charts

Without the information on the content of each transaction, these charts can help you to : 
- Identify periods where multiple items are purchased together (or, on the contrary, items tend to be rarely purchased together). This could help to see why you find more rules than usual (or, on the contrary, fewer rules than usual).
- Identify variations of purchasing patterns depending on your rule scopes.
- Bring you different perspectives of your sales in the period you set.