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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' ]) ...
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SAS Visual Analytics top features useful to your project

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You may already know that SAS is king in visual analytics. The real features that SAS provide you can learn here.I have collected some features on SAS analytics. 

 SAS Visual Analytics is an easy to use, web-based product that leverages SAS high performance analytic technologies and empowers organizations to explore huge volumes of data very quickly in order to see patterns and trends, and to identify opportunities for further analysis. 
"SAS Visual Data Builder enables users to summarize data, join data, and enhance the predictive power of their data. Users can prepare data for exploration and mining quickly and easily."
The highly visual, drag and drop data interface of SAS Visual Analytics Explorer combined with the speed of the SAS LASR Analytic Server accelerates analytic computations and enables organizations to derive value from massive amounts of data. 

 This creates an unprecedented ability to solve difficult problems, improve business performance, and mitigate risk rapidly and confidently. SAS Visual Analytics Designer enables users to quickly create reports or dashboards, which can be viewed on a mobile device or on the web.

Advantages

  • SAS Visual Analytics empowers business users, business analysts, and IT administrators to accomplish tasks from an integrated suite of applications that are accessed from a home page. 
  • The central entry point for SAS Visual Analytics enables users to perform a wide variety of tasks such as preparing data sources, exploring data, designing reports, as well as analyzing and interpreting data. Most importantly, reports can be displayed on a mobile device or in the SAS Visual Analytics Viewer.

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