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Top Questions People Ask About Pandas, NumPy, Matplotlib & Scikit-learn — Answered!

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 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...

7 Features of Tableau Self-service Engine

Tableau introduced the Self-Service tool. This Tool helps user queries while importing data from multiple sources. This project is called Project Maestro. This is an additional feature for the data analysis engine.




Self-Service Engine in Tableau


  • The visual ways of inspecting, joining and editing data. Results could then be piped into Tableau for analysis.
  • Speedier data import and analysis. Tableau's new data engine works based on Hyper technology. You can see now faster to import and analyze large data sets with Tableau.
  • Hundreds of thousands of records being imported per second, as well as being visualized in real-time as the import process continued. This engine developed based on feedback from the user community.
  • It supports natural language queries.
  • Tableau is aiming for true natural speech, not merely being able to type in questions that require using exact field names and functions.
  • The example is you can ask questions like Tell me the cheapest houses in near California.
  • Tableau would suggest visualizations and other analyses based on your data set. Pre-built recommended dashboards from cloud services, including combining data from multiple services.


Also read

Tableau 9 for data science-Real life data science exercises

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