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@balzer82
Created November 25, 2014 10:08
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Average Salary by Programming Language
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"metadata": {
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"signature": "sha256:c923d578e77ed2996a0fa40e1ff2519178ab2292eee9bc7f655976be4b2f8ad4"
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"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline\n",
"import pandas as pd\n",
"import seaborn as sns"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 36
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Source: http://www.businessinsider.com/best-tech-skills-resume-ranked-salary-2014-11"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data='''12. PERL - $82,513\n",
"11. SQL - $85,511\n",
"10. Visual Basic - $85,962\n",
"9. C# - $89,074\n",
"8. R- $90,055\n",
"7. C - 90,134\n",
"6. JavaScript - $91,461\n",
"5. C++ - $93,502\n",
"4. JAVA - $94,908\n",
"3. Python - $100,717\n",
"2. Objective-C - $108,225\n",
"1. Ruby on Rails - $109,460'''"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 37
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Clean the data"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dd = {}\n",
"for line in data.split('\\n'):\n",
" d = line.split(' ')\n",
" dd[d[1]] = d[-1].strip('$').replace(',','.')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 38
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create the Pandas Dataframe"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df = pd.DataFrame(index=dd.keys(), data=dd.values(), columns=['salary']).astype(float)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 39
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Plot it"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt = df.sort(columns='salary').plot(kind='barh', color='#0077b5')\n",
"plt.set_ylabel(u'')\n",
"plt.set_xlabel('thousand US$')\n",
"plt.set_title('Average Annual Salary by Programming Language')\n",
"plt.text(130,-2.2,u'businessinsider.com', size=8, ha='right')\n",
"\n",
"\n",
"plt.figure.savefig('salary-by-language.png', dpi=150, bbox_inches='tight')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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GxFeBw4FvVa84VdVW7a5b7vjyx3NbfDE1Nw90fA2qyLFB8eOzvlEXWbZetba2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\nGx4MPEcB4ouIY4D9gPnAU6T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"text": [
"<matplotlib.figure.Figure at 0x10ed32950>"
]
}
],
"prompt_number": 76
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 40
}
],
"metadata": {}
}
]
}
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