Showing posts with the label Tableau Developer Jobs

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How to Check Column Nulls and Replace: Pandas

Here is a post that shows how to count Nulls and replace them with the value you want in the Pandas Dataframe. We have explained the process in two steps - Counting and Replacing the Null values. Count null values (column-wise) in Pandas ## count null values column-wise null_counts = df.isnull(). sum() print(null_counts) ``` Output: ``` Column1    1 Column2    1 Column3    5 dtype: int64 ``` In the above code, we first create a sample Pandas DataFrame `df` with some null values. Then, we use the `isnull()` function to create a DataFrame of the same shape as `df`, where each element is a boolean value indicating whether that element is null or not. Finally, we use the `sum()` function to count the number of null values in each column of the resulting DataFrame. The output shows the count of null values column-wise. to count null values column-wise: ``` df.isnull().sum() ``` ##Code snippet to count null values row-wise: ``` df.isnull().sum(axis=1) ``` In the above code, `df` is the Panda

12 Top Tableau Small Projects for Practice

Tableau is one of the best visualization tools. With Tableau Desktop you can connect to multiple data sources. Tableau Desktop is based on breakthrough technology from Stanford University that lets you drag & drop to analyze data. Best 12 Tableau Exercises: Small Projects for Practice. You can connect to data in a few clicks, then visualize and create interactive dashboards with a few more. We’ve done years of research to build a system that supports people’s natural ability to think visually.  Shift fluidly between views, following your natural train of thought. You’re not stuck in wizards or bogged down writing scripts.  You just create beautiful, rich data visualizations. It's so easy to use that any Excel user can learn it. Get more results for less effort. And it’s 10 –100x faster than existing solutions Keep Reading The 12 Exercises from Tableau Tableau Tutorial