<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Analytics on DataSkool Blog</title>
    <link>https://blog.dataskool.org/categories/analytics/</link>
    <description>Recent content in Analytics on DataSkool Blog</description>
    <generator>Hugo -- gohugo.io</generator>
    <lastBuildDate>Thu, 22 Feb 2018 00:00:00 +0000</lastBuildDate>
    
	<atom:link href="https://blog.dataskool.org/categories/analytics/index.xml" rel="self" type="application/rss+xml" />
    
    
    <item>
      <title>Python using RStudio IDE</title>
      <link>https://blog.dataskool.org/post/python-using-rstudio-ide/</link>
      <pubDate>Thu, 22 Feb 2018 00:00:00 +0000</pubDate>
      
      <guid>https://blog.dataskool.org/post/python-using-rstudio-ide/</guid>
      <description>Today is 7/26
This is test post to check if Python code works
library(reticulate) ## Warning: package &amp;#39;reticulate&amp;#39; was built under R version 3.4.4 import numpy as np x = [1, 2, 3] print(x) ## [1, 2, 3] y = np.mean(x) \(\bar{x}\) is the average, which is defined as \[ \bar{x} = \frac{\sum x}{n} \]
So what is the aveage of y? It is 2.
x = c(1:5) The value of x is R session is 1, 2, 3, 4, 5.</description>
    </item>
    
  </channel>
</rss>