Go analytics

<p>With all data science stuff been heard everyday, i decided to make a package that&#39;s capable of analysing any type in Go. So in these 4 days i think i&#39;ve made a solid base on this.</p> <p>Pkg: <a href="https://github.com/Shixzie/analytics" rel="nofollow">https://github.com/Shixzie/analytics</a></p> <p>This is the most complex thing i&#39;ve made so far and so the first time i ever touch the reflect pkg. It still on development, but i would say it&#39;s 70%ish ready. Would like to see your opinion.</p> <p>EDIT:</p> <p>Now you can see the output on the README.</p> <hr/>**评论：**<br/><br/>Astra108: <pre><p>Interesting. Always good to see more data science and analytics done in Go. </p> <p>What is the example output? Any thoughts on incorporating graphics?</p></pre>Shixz: <pre><p>I haven&#39;t touched graphics either but it&#39;s a good idea. I&#39;ll keep working on it.</p></pre>itsmontoya: <pre><p>I took a quick glance at the analytics.go file, it looked pretty solid. I&#39;ll take a better look at it later when I&#39;m in front of a computer.</p></pre>nathj07: <pre><p>I will also take a proper look later.</p> <p>My first thought is that the README could do with showing the results of the example code. This may then need a little explanation too, covering what is analysed and why.</p></pre>Shixz: <pre><p>I&#39;m aware i have to improve that README, the whole idea of the pkg is that you can give it anything and it will return a bunch of data 4 example: you give it a struct with a []string, it will return info such as &#34;avg string length, max string length, min string length, number of words, number of unique words, number of repeated words, and so on for every type&#34; if there&#39;s something you don&#39;t want to analyze, you can use the <code>analytics:&#34;ignore&#34;</code> tag as the README shows.</p></pre>Shixz: <pre><p>I&#39;ve improved the README, everything is analyzed.</p></pre>