#data-cleaning

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fromHackernoon
4 months ago

How to Instantly Delete All Objects and AutoShapes in Excel | HackerNoon

Excel's AutoShapes can clutter worksheets, but you can easily delete them using either the Go To dialog box or VBA.
fromErik Marsja
2 months ago
Data science

Pandas: Drop Columns By Name in DataFrames

Pandas allows efficient removal of columns by name from DataFrames.
The drop() function can be used to remove single or multiple columns easily.
fromRealpython
2 months ago

Working With Missing Data in Polars - Real Python

Polars provides powerful tools to identify, replace, and remove null values, ensuring seamless data processing for effective analysis.
Data science
frommedium.com
3 months ago

Spark Scala Exercise 10: Handling Nulls and Data CleaningFrom Raw Data to Analytics-Ready

Effective data cleaning is essential in data engineering to prevent downstream issues caused by nulls.
fromRealpython
4 months ago

How to Strip Characters From a Python String - Real Python

Python's .strip() method provides a quick and reliable way to remove unwanted spaces, tabs, and newline characters from both the beginning and end of a string, making it essential for data cleaning.
Typography
Data science
fromTechCrunch
4 months ago

Google upgrades Colab with an AI agent tool | TechCrunch

Google Colab introduces Data Science Agent for data cleaning and insights, leveraging AI to aid users directly within notebooks.
Data science
fromDatawars
5 months ago

7 free Machine Learning projects to practice using Python | DataWars

Hands-on coding is essential in mastering Machine Learning beyond just theoretical knowledge.
fromMarTech
11 months ago

The marketer's guide to conquering data quality issues | MarTech

Inaccurate or outdated customer data leads to wasted marketing spend and ineffective targeting, disrupting campaigns and limiting growth potential. Poor data can result in significant budget losses.
Data science
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