Python lists are handy for performing data science tasks, especially for data cleaning and manipulation. In this article, I will briefly introduce Python list comprehensions and guide you through some practical use cases. In simple terms, Python list comprehensions allow you to create lists by performing various operations on an existing list. Based on my […]
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Dealing with data scattered in hundreds of files can be a daunting task. To unravel insights and comprehensive analytics, merging these files into one collective dataset is crucial. Today, we’ll discover an easy way to consolidate multiple Excel workbooks into one workbook using Python. It’s important to note that for this process to run smoothly,
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Introduction Understanding the ‘groupby‘ Function The ‘groupby’ function in Pandas is used to split data into groups based on specified criteria. It follows a split-apply-combine approach, where the data is first split into groups, then a function is applied to each group, and finally, the results are combined into a new data structure. This function allows us
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Introduction Exporting data from Pandas DataFrame to Excel is a common task in data analysis and reporting. In this tutorial, you will learn how to export a Pandas DataFrame to an Excel file using the openpyxl library. We will cover various aspects such as giving a name to the Excel workbook, setting a name for
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Introduction Are you interested in pursuing a career as a data analyst in Canada? Look no further! In this article, I will share my personal experience of landing a job as a data analyst at a leading bank in Canada. I will discuss three main factors that played a crucial role in my success: optimizing
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Introduction As the field of data analysis continues to evolve, the choice of programming language plays a crucial role in the success of a data analyst. In 2023, Python and R are two prominent programming languages that are extensively used for data analysis. Each language has its own set of strengths and weaknesses, making it
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Introduction Usually when conducting experiments, all treatment combinations are assigned to all the blocks. Thus, they are called “complete” designs. But in the real world, this might not be the case always. Due to resource constraints and physical size of blocks, the experimenter is forced to use randomized block designs where every treatment is not
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Introduction Statistical Data Analysis or simply put “Data Analysis” is very common term these days. But what does this really mean? And most importantly, why should we do that? Well, as you all know, “Data is the new Oil” To get proper use of oil, we need to mine it from underground and purify it
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Don’t Miss the Film Festival: Top 3 movies to watch in July Read More »
