Advanced Data Filtering | Multiple conditions | Pandas (Python) | Data Analyst Skill Tutorial #7

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This video adds to .loc and .iloc with more advanced filtering techniques (filtering on multiple conditions).

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This video adds to .loc and .iloc with more advanced filtering techniques (filtering on multiple conditions).

Intro: 0:00
Multiple conditions (AND/OR): 0:48
.isin(): 10:04
"Not" (~) operator: 13:07
Null values (.isna()): 16:42
Subquery: 18:56
.between(): 23:42
Substring query: 25:08
  1. Alex Sington
  2. Filtering
  3. Pandas
  4. Python
  5. AND
  6. OR
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Very good explanation. You took your time to explain why python will disallow or allow a persons input in certain situations making the viewer learn what to do or not to do. You are a good teacher. That's the kind of videos I truly wanna see and there's it.

sadiqmarcelo
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I would suggest using pandas query method for these but thanks for the video.

Lnd
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Greetings Alex,
Your videos are so great and detailed.
I have a dataset that has columns for passport number. Some individuals don't have passport leaving the passport number column empty. How do I filter only those without passport number? Thanks😊😊😊

LassanaMDorleyii
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Can we use 'loc' method as well to filter out rows and columns?

Al-Ahdal