Json document: P = { "p": [ { "logType": “PDF, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” } ] } Then, I want to count the total of logType and accountId like this in python { "logType": 5, "accountId": 5 }

Json document: P = { "p": [ { "logType": “PDF, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” }, { "logType": “PDF”, "accountId": “xxxx” } ] } Then, I want to count the total of logType and accountId like this in python { "logType": 5, "accountId": 5 }

Programming with Microsoft Visual Basic 2017

8th Edition

ISBN:9781337102124

Author:Diane Zak

Publisher:Diane Zak

Chapter4: The Selection Structure

Section: Chapter Questions

Problem 7E

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[mysql> select * from shows; +-- | ID | Title | Num_episodes | Country | Start | End 1 | Bluey 2 | Bobby's World 3 | Caillou 4 | Doc McStuffins 5 | Doki 6 | Family Guy | 7 | Sofia the First 8 | SpongeBob SquarePants 9 | The Loud House 10 | The Simpsons 11 | Chip 'n Dale | 12 | The Little Mermaid | 13 | Little Einsteins 53 | Australia | 81 | USA 110 | Canada 136 | USA 77 | Canada 350 | USA 109 | USA 263 | USA 81 | Singapore | 685 | USA 65 | USA 31 | USA 76 | USA 2018 | NULL | 1990 | 1998 | | 1997 | 2010 2012 | 2020 2013 | NULL | 1999 | NULL | 2013 2018 1999 | NULL | 2016 | NULL | | 1989 | NULL | 1989 | 1990 1992 | 1994 2005 | 2009 | 13 rows in set (0.01 sec)
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{ "name": "Renata Severson", "dob": "2017-02-22", "address": { }, "street": "4228 Lucy Circle", "town": "Ayr", "postode" : "PL01 3MG" "telephone": "+971-6808-178-469", "score": 10, "email": "brianna71@add.hn", "verified": false, "salary" : 50307 JSON Validation Valid: Yes If no, reason(s) XX
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