Tag: LearningData
-
Open Data at Your Fingertips: Exploring Data.gov
Finding a source of copious amounts of data is helpful if you want to learn how to analyze data. The good news is that free, public data sources are plentiful and relatively easy to access. One of my favorite places to get public data is Data.gov, an open data repository maintained by the United States. …
-
Nature’s Wake-Up Call: The Value of Clean Data
I enjoy a gentle awakening. You won’t find me using a blaring alarm clock. My preference is to wake naturally with the sun. If I must rely on an alarm clock to wake up, I choose the sound of birds, with the volume increasing ever so slightly the longer I let the alarm go. On…
-
Probability and Hyperbole: Nary the Two Shall Meet
I’m the type of person who wants to read or learn everything about, well, everything. I tend to get excited about topics that capture my interest. Consequently, if you spend time with me, you may overhear me uttering statements like: “Did you know <insert random, verifiable fact here>?” Upon hearing this, the other party to…
-
From Gnomes to Data: Practical Organization Tips Inspired by Everyday Life
Have you ever marveled at the magic of a perfectly organized collection or a neatly arranged space? There’s a certain joy and satisfaction in knowing exactly where everything is and how to find it. If you’re anything like me, there’s pleasure that comes from having everything “just so.” In today’s data-driven world, applying these same…
-
From Pocket Change to Data Insights: The Power of Visualization
As a young child, I was bewildered by the concept of money. With just a $5 bill, I believed I had stumbled upon a way to generate endless wealth. However, my excitement was short-lived when I realized that more bills didn’t necessarily mean more value. Understanding the worth of money can be challenging, especially when…
-
The Joy of Reading: Unlocking Stories in Books and Data
The post emphasizes the love for reading and the parallels between reading books and analyzing data. The author expresses their passion for books and learning from various perspectives, comparing the collection of words in books to data. They encourage approaching data analysis with curiosity and excitement, similar to reading a new book. The post concludes…