Mary | Data Analyst
Region: US
Tuesday 08 September 2026 21:55:05 GMT
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TimelineJumper :
#1 rule of working with data - Tell them to fix it in the source system. It's always the source systems fault. You're better than this. You deserve clean data. You get paid to do your job, not their job.
2026-09-09 23:16:15
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OLADIMEJI AMOLEGBE :
nice insight I make use of formula based template for data quality audit Once I'm done with data cleaning, my data quality audit will have returned 0 all through signifying that there is no issues again But I warn this is a very rigorous process
2026-09-10 07:02:42
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MaMokoena_Rose :
Love that I have you on my fyp again
2026-09-08 22:16:55
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Eazy_the_analyst📊📈📉 :
Hi pls how do I handle blank cells of about 10% of the total rows in just a column like for example customer_id column or age
2026-09-08 22:24:45
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Ralph :
40% sounds low honestly, most of that time is usually spent figuring out why the same customer has three different IDs across systems. SIGNLD's whole job is doing that matching so you're not redoing it every report
2026-09-10 14:50:14
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Charlene Esiekpe :
please I'm interested in your free tech tutorials link
2026-09-26 11:02:21
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rjkun :
your S is soooo crispyyy love it 🥰
2026-09-10 10:29:31
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Chibwe & Data :
The intro
2026-09-26 20:14:15
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Omozuwa Esther :
This is very correct. Thank you for sharing.❤️
2026-09-12 18:50:03
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code_with_gabriel :
Well said
2026-09-27 07:59:18
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Nicky Numeric 📊 :
Glad you made this video, that's why I always keep the source of truth, flag missing values and documents
2026-09-10 16:10:50
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Eazy_the_analyst📊📈📉 :
ok I'll check the dataset and validate other columns to see if really I'd need the customer_id and age column for my analysis.... Thank you very much Looking forward to come here to get enlightened more
2026-09-08 22:35:10
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Jhon_Hertz :
@Mary | Data Analyst awesomeeeee
2026-09-08 21:57:42
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