Data science gives you tools to find opportunities A few months ago, I wrote a blog post about Amazon’s search for a location for a second headquarters. For those of you who don’t know about it, the technology giant – which currently has its headquarters in Seattle Washington – announced ... [Read more...]

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I’ve often said that the foundation of data science is data analysis. That’s not to say that data analysis and data science are 100% synonymous (they’re not), but rather that you need to master the basic tools of data analysis before you can get into the more advanced ... [Read more...]

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You’ve heard me say it a thousand times: to master data science, you need to practice. You need to “practice small” by practicing individual techniques and functions. But you also need to “practice big” by working on larger projects. To get some practice, my recommendation is to find reasonably ... [Read more...]

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It’s clear that there are some economic shifts happening in the world, if not the US itself. In light of this, I decided to do some simple investigation into the economic performance of US cities. This is, by the way, one of the critical reasons to master data science. ... [Read more...]

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Your first step to becoming a top-performing data scientist is .... The post The first step to becoming a top performing data scientist appeared first on SHARP SIGHT LABS. [Read more...]

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Last week, we created a map of world oil production, by country. This week, I’ll show you how to make a slight modification. I’ll show you how to highlight specific countries according to a variable in your data frame. The post How to highlight countries on a map ... [Read more...]

This week, here's another map: a map of world oil production that you can create using R. As I've mentioned, projects like this – a few hundred lines of code, with a variety of functions from the tidyverse – are excellent practice for intermediate data scientists. The post Mapping oil production by ... [Read more...]

Recently, I was thinking about energy, solar energy, and battery technology, and I got curious about sources of lithium (which is used in batteries and related tech). Using a few tools from R, I created a map of lithium production within about 15 minutes. Here, I'll show you how I did ... [Read more...]

To become a great data scientist, you need to master data visualization. One intermediate topic that you’ll need to learn is how to work with color. Specifically, you’ll need to learn how to manipulate the “fill” color of things like density plots ... The post A quick introduction to ... [Read more...]

Here at Sharp Sight, we make a lot of maps. There are a few reasons for this. First, good maps are typically ‘information dense.’ You can get a lot of information at a glance from a good map. They are good visualization tools for finding and communicating insights. Second ... The ... [Read more...]

The ggmap package allows you to download and plot basic maps from Google maps ... The post How to plot basic maps with ggmap appeared first on SHARP SIGHT LABS. [Read more...]

If you want to rapidly master data science, you need to ... The post How to rapidly master data science appeared first on SHARP SIGHT LABS. [Read more...]

Making a line chart in ggplot2 is pretty straightforward, if you know how it works ... The post How to make a line chart with ggplot2 appeared first on SHARP SIGHT LABS. [Read more...]

Earlier this week, Amazon announced that it it has started to search for a new city in which to build a second headquarters. ... we're going to scrape some data and visualize it to analyze possible locations for their new HQ. The post Visualizing possible cities for Amazon’s new headquarters (... [Read more...]

"After you've mastered a small number of R functions, visualizations like this become easy (and, they're great practice)." The post Mapping the largest cities in Asia using R appeared first on SHARP SIGHT LABS. [Read more...]