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Category: Data Analysis

  • September 6, 2020September 6, 2020
  • 3 Comments

To Mean or Not To Mean (That’s the Central Tendency Question)

  • Data Analysis

I’ve always been “the math kid”. I obsessed over multiplication tables as a young girl, and I LOVED learning functions and how to graph them. I was always especially enamored with probability and statistics, even from a young age. This started with introduction of simple […]

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  • August 13, 2020August 18, 2020
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Take Your SQL Skills To The Next Level By Understanding The Self Join

  • Data Analysis

Let’s take a step into more intermediate data analysis territory *dun dun dun*…. and discuss the self join.

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  • August 7, 2020August 18, 2020
  • 10 Comments

Learn These 3 Basic Data Concepts Before Stressing About Coding Languages or Tools

  • Data Analysis

I got an Instagram DM the other day that really got me thinking. This person explained that they were a data analyst by trade, and had years of experience with data concepts. But, they also said that they felt that their technical skills were slightly […]

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  • May 12, 2020August 18, 2020
  • 30 Comments

Visualizing World Happiness With A Geographic Map

  • Data Analysis

Which countries are the happiest? This question is extremely difficult to answer. Yet, the World Happiness Report tries its best to report on this topic by ranking 156 countries on how happy their citizens perceive themselves to be. One interesting way to analyze the World […]

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  • April 30, 2020August 18, 2020
  • 3 Comments

Analyzing Top Kickstarter Campaigns With A Word Cloud

  • Data Analysis

Ever since I started my data science journey, I have been fascinated by word clouds. A word cloud (or tag cloud) is a unique data visualization tool for exploring text data through word frequency or significance. This is handy when you have text data and […]

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  • April 24, 2020August 18, 2020
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Developing a Data Scientist Mindset

  • Data Analysis

I’ve seen so many fantastic resources about how to start from ground zero and transform yourself into a data scientist. These resources advise to learn Python or R, master data munging and cleaning, understand effective and intentional data visualization, or maybe even to study machine […]

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  • March 21, 2020May 27, 2020
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DataFrames 101

  • Data Analysis

Introduction (aka why do we care?) The daily workflow of a data scientist involves data cleaning, data analysis, data modeling, and organization of the results in a presentable manner. Many languages did not have everything that data scientists were looking for in these areas – […]

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  • March 14, 2020August 18, 2020
  • 1 Comment

Reviewing Google’s Six Data Visualization Principles

  • Data Analysis

Recently, I was lucky enough to stumble upon a great article written in 2019 by Manuel Lima, senior UX engineer at Google, that was full of interesting facts and data visualization tips. In this article Lima starts off by explaining how this list even came […]

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