Baseball Statistics Picture source. Date that article was published: August 12, 2017

Summary of Article

The Data Analysis with Python article discusses the field of sabermetrics and the the various methods the author used in his individual analysis of baseball statistics.

Since the release of Moneyball, there has been an increased focus on sabermetrics, which is the application of empirical methods to baseball statistics. The author examined four core questions, centering around the relationship between various performance metrics for batting and pitching to player salaries. After applying various statistical methods to the data, the author was able to identify several conclusions from the analysis.

Basic Article Stats

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Author Information

Will Koehrsen is a Data Scientist at Cortex Intel. He establishes himself as a Data Science communicator and is also the Editor of Engineering at Feature Labs. He writes on Towards Data Science, a Medium publication sharing concepts, ideas and code, where multiple articles relating to Data Science can be found below.

## [1] "https://towardsdatascience.com/"

Towards Data Science

What Do I Think?

I think the article provides a great analysis of the dataset used. The author walked through the steps of his process in a way that was very easy to follow. The inclusion of frequent plots provided great visualization of the data. Most of all I thought it was really important that the author emphasized that correlation does not imply causation. The conclusions were well thought out, as well as justified, and the limitations specified really help put the conclusions into perspective. All in all, I thought the article provided a great deep dive into a topic that is an emerging field in Data Science.

Plots

Iris Table

##  [1] "Table: Iris Dataset"                                                  
##  [2] ""                                                                     
##  [3] "|Sepal Length | Sepal Width | Petal Length | Petal Width|    Species|"
##  [4] "|:------------|:-----------:|:------------:|-----------:|----------:|"
##  [5] "|5.1          |     3.5     |     1.4      |         0.2|     setosa|"
##  [6] "|4.9          |     3.0     |     1.4      |         0.2|     setosa|"
##  [7] "|4.7          |     3.2     |     1.3      |         0.2|     setosa|"
##  [8] "|4.6          |     3.1     |     1.5      |         0.2|     setosa|"
##  [9] "|5.0          |     3.6     |     1.4      |         0.2|     setosa|"
## [10] "|5.4          |     3.9     |     1.7      |         0.4|     setosa|"

Iris Plot