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Merge pull request pmaji#30 from pmaji/paul_dev
adding note in HW about using whatever package you want
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notebooks/participant_hw_nb.ipynb

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" 2. Briefly explain (in no more than a paragraph) why you chose to visualize the data as you did. \n",
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" - If you are struggling to think of what to write, fall back on the lecture materials, particulary Section 1: Why We Visualize. Imagine that each of your visualizations was going to be presented to your team at a Process Confirm / Code Review; your paragraph should read like the explanation you would give in that context, detailing why your choices made for the most effective viz. Be sure to focus on how your visualization answers the question at hand, the crux of which is **in bold** although the entire question provides relevant information as to what is expected.\n",
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" \n",
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"We'll be using the [same data](https://nbviewer.jupyter.org/github/pmaji/practical-python-data-viz-guide/blob/master/notebooks/data_prep_nb.ipynb) we've been dealing with throughout the seminar: January and December 2017 FNMA originations. Remember, if you don't understand what some of the variables mean, all the information you need is in the `data_prep_nb.ipynb`, including links to relevant glossaries and data dictionnaries. "
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"We'll be using the [same data](https://nbviewer.jupyter.org/github/pmaji/practical-python-data-viz-guide/blob/master/notebooks/data_prep_nb.ipynb) we've been dealing with throughout the seminar: January and December 2017 FNMA originations. Remember, if you don't understand what some of the variables mean, all the information you need is in the `data_prep_nb.ipynb`, including links to relevant glossaries and data dictionnaries. \n",
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"\n",
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"**Note**: For all questions below, you are free to use whatever python visualization package you want. That said, some questions require a specific type of visualization (example: if you know that you need an interactive visualization, don't start by using a package that you know cannot build interactive visualizations). \n",
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"\n",
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"Good luck!"
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{
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{
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"data": {
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"text/plain": [
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"'This notebook was last executed on 2019-08-05 22:08'"
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"'This notebook was last executed on 2019-08-09 13:07'"
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]
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},
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"execution_count": 2,
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"\n",
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"Maybe a bonus question... depending on what Xi thinks of this existing level of difficulty. "
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]
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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"metadata": {

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