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Delivery Number | Delivery Type Code | Delivery DateTime | Planned Good Issued Date | Sales Organization Category | Shipping Condition Code | Shipping Plant Number | Ship to Customer | Sold to Customer | Actual Good Issue Date | Initial Commercial Code | Sales Organization Number | Pick Date | Group Code |
3800332504 | ZTLD | Monday, January 13, 2020 | Monday, January 13, 2020 | T | 99 | ZA08 | 3E+07 | 3E+07 | Monday, January 13, 2020 | CIF | ZA01 | Monday, January 13, 2020 | 8030 |
3102483284 | ZTLD | Thursday, July 9, 2020 | Thursday, July 9, 2020 | T | 99 | FRV7 | 3E+07 | 3E+07 | Wednesday, July 8, 2020 | DAP | FR01 | Thursday, July 9, 2020 | 8030 |
3601790096 | ZTLD | Thursday, February 13, 2020 | Thursday, February 13, 2020 | T | 99 | ES08 | 3E+07 | 3E+07 | Tuesday, February 18, 2020 | CIP | ES01 | Thursday, February 13, 2020 | 8030 |
3052029572 | ZTLD | Wednesday, November 11, 2020 | Wednesday, November 11, 2020 | T | 99 | DE38 | 3E+07 | 3E+07 | Tuesday, November 3, 2020 | CIP | DE01 | NULL | 8030 |
3001601788 | RL | Sunday, July 12, 2020 | Sunday, July 12, 2020 | J | 1 | ES05 | 4E+07 | #VALUE! | Thursday, May 7, 2020 | FCA | CH01 | Sunday, July 12, 2020 | |
3001615836 | ZLF | Thursday, May 28, 2020 | Thursday, May 28, 2020 | J | 1 | CH01 | 3E+07 | 3.9E+07 | Thursday, May 28, 2020 | FCA | CH01 | Thursday, May 28, 2020 | 8030 |
3001601787 | RL | Sunday, July 12, 2020 | Sunday, July 12, 2020 | J | 1 | ES05 | 4E+07 | #VALUE! | Thursday, May 7, 2020 | FCA | CH01 | Sunday, July 12, 2020 | |
3052009579 | ZTLD | Wednesday, November 11, 2020 | Wednesday, November 11, 2020 | T | 99 | DE38 | 3E+07 | 3E+07 | Tuesday, November 3, 2020 | CIP | DE01 | Wednesday, November 11, 2020 | 8030 |
Hello,
I need some idea and help how to clean this data and can i fill null and values or what to do with and what can i put as visualisation for this data its for my supply chain data project i have to make it in power bi and upload file
thanks in advance
Best Regards,
Sumit
@Daniel29195
@amitchandak
@Idrissshatila
Hello Thanks for getting back to me
i wanted to know logic what to replace or to filter null or what can we do to fill missing value because filling down might not be solution because there are 7.6 lac rows and 4 lacs are missing with some data
Hi @mesam ,
First select the data source you need to connect to in powerbi desktop and then go to power query to process the data.
For data processing, it is usually in the transform toolbar option, and for column processing it is in the add column tab.
Fill or replace NULL values in specific columns using conversion methods such as "Replace Value" or "Fill Down".
After cleaning the data in Power Query, you can load it into Power BI for visualization. For visualizations, consider creating charts and tables based on your specific analysis goals.
For more details, you can refer to below blog:
Best Regards,
Adamk Kong
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hello Thanks for getting back to me
i wanted to know logic what to replace or to filter null or what can we do to fill missing value because filling down might not be solution because there are 7.6 lac rows and 4 lacs are missing with some data
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