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When working with Excel files in Python, OpenPyXL is a versatile library that provides various functionalities to manipulate data. One common task is to delete rows from an Excel file based on certain conditions. In this tutorial, we will explore how to achieve this using OpenPyXL and Python. Prerequisites Before we begin, make sure you…
Introduction: In the world of R programming, encountering errors is inevitable. One such error that often perplexes users is the “No applicable method for ‘separate_’” error. This error usually occurs when attempting to separate columns in a dataframe using the tidyr package’s separate function. In this blog post, we will explore the causes of this…
Missing values can pose a challenge in data analysis, particularly when working with dataframes. In the field of biostatistics, it’s important to replace missing values accurately to ensure reliable statistical modeling and analysis. One effective method for filling in missing values is called Hot Deck Imputation, and in this article, we will explore how to…
Are you trying to assign different categories to different values in your pandas DataFrame? For instance, you might have categories ranging from 1 to 10, and you wish to map ‘red’ to values 3 to 5, ‘green’ to 1,6, and 7, and ‘blue’ to 2, 8, 9, and 10. It might seem challenging initially, especially…