Using SQL to manipulate and clean the data, analyzing to discover trends and patterns, dig insights in an understandable format.

The fields present in Items dataset are,

 1. id 2. Order_id 3. Name 4. Is_veg/not 

The fields present in Orders dataset are,

 1. id 2. order_id 3. order_Total 4. restaurent name 5. order_time 6. rain_mode 7. on_time 

1. Count of unique number of orders that are placed

    ![image](https://github.com/deva-246/DataAnalysis-on-Realtime-Swiggydata-using-SQL/assets/75877347/9bfec0ac-9970-4719-8314-166057b0e2b6) 

   There are 95 unique users who have placed orders according to this dataset.