Udacity_Project1/BlogPost.html at master · MarshEnterprises/Udacity_Project1 · GitHub

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<h1>
    Dear Stack Overflow Users: Does hard work pay off (in terms of money anyway)???
</h1>

<h2>
    Exploration of data from a 2019 Stack Overflow Survey <br>
    B. W., March 2020
</h2>

<img src="shrew.png">

<p style="text-align: left;">
    The proposed question is perhaps over-ambitions, but the following blog analyses data of a 2019 Stack Overflow
    Survey and therefore may shed some sort of indication to salary trends of IT professionals. 88883 Stack Overflow
    users were surveyed (by the way, that thing is an elephant shrew). Lets start by having a look at what people earn
    in general.
</p>

<img src="country.png">

<p>
    Here we see a violinplot of earnings grouped by country, for countries with more than 1000 surveys sorted from left
    to right by median (and South Africa). The US has the highest salaries, followed by other english speaking
    countries. Then come countries from continental Europe (and South Africa). The lowest stated earnings for
    IT professionals are in India. There are also blimps in the upper parts of the violin plots, at 1M and 2M USD, and
    these might be standard high salaries for CEOs and other lucky people. <br> Now, are there differences in earnings
    between men and women?
</p>

<img src="gender.png">

<p>
    The above diagram is a histogram of salaries for women (blue) and men (grey). The general consensus is that there
    is a sexist bias against women in the business world, especially when it comes to salaries. For Stack Overflow
    users, this trend does not seem true if you are earning 'normal' amounts of money. There are however more men
    earning equal or more than 1M USD than women. Also, only ~7.5% of Stack Overflow users are women, which may be a
    result of some other gender bias that the histogram does not show. <br> But how do salaries differ for age-groups?
</p>
<img src="scatter.png">

<p>
    Wow! it looks like there is a divergence in salaries when looking at the scatter plot of age vs earnings. this
    suggests that some programmers become highly valued very quickly (before they are ~35) and others have flat-lining
    salary prospects. Perhaps hard work does pay off? <br> There are > 88k points plotted on this scatter plot. Perhaps
    the above only shows us the outliers, because data is plotted on top of each-other.
</p>

<img src="sde.png">

<p>
    The above diagram is a 2D kernel density distribution plot. It can be read as if it were a contour plot of the
    scatter plot.  The y-axis gives the density - the integral of this plot will be 1. <br> This KDE plot shows that
    the divergence in salaries with increasing age is much stronger for outliers.
</p>

<p>
    In conclusion I would like to say that your future earnings will be more or less predictable, unless you are an
    outlier. It also wouldn't hurt to be in the US and not in India.
    <br>
    B. W.
    <br>
    Lock-down, 2020
</p>

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