In this blog post, we will learn how to extract sales data using SQL from a database, specifically Navision. We will define a SQL query to extract the data and execute it using Python. The resulting sales data will be fetched and can be further analyzed or visualized.
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It's been a while since I last posted a small EDA article in my learning journey of Python so I've dusted off VS Code and found a dataset on UK Museums.
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Python is a powerful and versatile programming language that is widely used in a variety of industries, including data science, web development, and finance. If you are interested in learning Python, there are a number of tools and resources available to help you get started.
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The 10 most important Python libraries to use for exploratory data analysis (EDA).
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Continuing on my journey through Python and given that we've just had Hallowe'en, I thought it'd be a good idea to find an appropriate dataset.
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Although this is my latest post about my journey with Python, this is one of the first python data analysis projects I did back in January 2022. With this is mind, there's probably lots of inefficiencies in my code python so be gentle!
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Continuing my learning journey of Python (and tools) in data analysis, there was a data set for the 2022 Commonwealth Games. I thought that since I had just done some EDA on the Olympics, it would be good to look at this data set.
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