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How to Check Column Nulls and Replace: Pandas

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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

10 Complex UX interview Questions

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In this post, I have shared complex UX design interview questions that are useful for your next interview. The term user experience popularly call it as UX. If any question difficult to answer in the interviews, you can say it as ' complex'. I am sure, the listed questions boost your knowledge. 10 Complex UX interview Questions 1) What is UX and what to ensure? A). Good UX can ensure that customers use and actually enjoy the experiences you design.  If you've ever used a website, software application, or product interface that confused you, you've probably experienced a design process that did not leverage UX best practices.  In addition, UX can be a key component in establishing customer loyalty and goodwill. 2) What are the top 3 promises of good UX design? A). The three promises are a) Usable, b) Useful and c) Desirable 3) What are the four elements in information architecture? A). The 4 elements are : a) Navigation b) Content organization c