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Showing posts with the label Exploratory Data Analysis

Learning Something New: EDA on Guitars

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This is an acoustic guitar Today’s post is inspired by my childhood dream of learning to play the guitar. For years, I’d daydream about strumming chords and creating melodies, but it always felt like something I’d do “someday.”  That day finally arrived when I jokingly shared this dream aloud, and my dad decided it was time to make it a reality. Yesterday, he surprised me with my first guitar—a sleek, acoustic guitar with nylon strings. The moment I picked it up, I was both excited and intimidated. I immediately started tuning it and spent an hour practicing E-minor and A-minor chords.  My fingers quickly grew sore, and faint ridges were left behind from pressing on the strings—but I didn’t mind.  There was something unexpectedly soothing about the vibration of the strings resonating through the guitar, as if the instrument itself was encouraging me to keep going. Learning a new skill is a reminder of how persistence pays off. I know that mastering the guitar will take ti...

Missing Data: Counting Blanks with Python

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  We can easily see that a piece is missing here.  Last week, my friend and I began brushing up on our Data Analytics skills outside of our work hours, starting off with a Data Cleaning Tutorial on Kaggle. The first section of this tutorial focused on Handling Missing Values, and although it was somewhat familiar to me, I still learned a lot. In a previous post I focused on what to do when working with an incomplete dataset. Today I will be focusing on how to find the number of missing values in a dataset. Pick your path: Go on an adventure to find the missing values manually. Let Python do its thing Now, while option one can work for small datasets like the example below, option two is useful when working with thousands of rows and columns. It has been a year since I completed my Computer Science degree.  Initially, I assumed the process was as straightforward as finding the number of nulls using the .isnull() function and summing them with .sum().  However, to arr...