Data Hacks · Sep 2020
Style with Conditional Formatting
Want to make your data stand out? Dive into the world of DataFrame styling in Python. Learn how to use styling functions to transform your DataFrames…
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Articles · points of view · data hacks
What we have learned, written down.
Points of view for leaders, practical data hacks for practitioners, and conversations from our webinars and podcast.
Data Hacks · Aug 2020
How to add Table of Contents
Tired of navigating lengthy Markdown documents? Learn how to enhance document organization by adding a Table of Contents with internal section-links. Discover the markdown_toclify.py script, your…
Read →Data Hacks · Aug 2020
Investigating Unexpected Data Sources
Data is abundant, but the real gems are often hiding in unexpected places. Dive into the world of data sleuthing and explore unconventional sources like social…
Read →Data Hacks · Aug 2020
Outline Your Code
Don't let aimless coding slow you down. Discover the power of outlining your code before you start. With a clear plan in hand, you'll avoid unnecessary…
Read →Data Hacks · Aug 2020
How to Deal with Empty Values
Don't let null values derail your data analysis. Discover effective techniques for managing them in large data sets, whether it's through deletion, replacement with central tendencies,…
Read →Articles · Jul 2020
Data Frame
Harness the simplicity of data visualization with Pandas. Learn how to use pd.DataFrame.plot() to instantly display your DataFrame and create diverse chart types, from lines to…
Read →Articles · Jul 2020
Jupyter Notebook
Jupyter Notebook: a data scientist's secret weapon. Uncover how this versatile IDE empowers developers to showcase and elucidate their code effectively. Leverage Markdown support for enhanced…
Read →Articles · Jul 2020
Precision and Recall
Accuracy is not always the best metric for evaluating machine learning models. Dive into precision and recall metrics, designed to tackle false positives and false negatives.…
Read →Articles · Jul 2020
Pandas
Excel to Pandas: Elevate your data work. Pandas, a Python library, offers powerful data manipulation for data scientists.
Read →Articles · Jun 2020
Data Profiling for Business Analytics
Don't compromise on data quality. Learn how data profiling processes like content discovery, relationship discovery, and structure discovery can enhance the accuracy of your business analytics.…
Read →Articles · Jun 2020
Keep Track of Your Data Lineage
Data lineage demystified: Explore the simplicity of tracking data with identifiers like authors, dates, and access history. Learn why data lineage is a vital asset for…
Read →Articles · Jun 2020
Avoid These Time Killers
Don't let your data project run over schedule. Learn how to combat time-wasting challenges such as resource scarcity, data formatting issues, and sifting through massive datasets.…
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