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Splits Module 3 Notebooks
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{ | ||
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"name": "LS_DS_123_Make_Explanatory_Visualizations_Assignment.ipynb", | ||
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"<a href=\"https://colab.research.google.com/github/ryanleeallred/DS-Unit-1-Sprint-2-Data-Wrangling-and-Storytelling/blob/master/module3-make-explanatory-visualizations/LS_DS_123_Make_Explanatory_Visualizations_Assignment.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | ||
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"# ASSIGNMENT\n", | ||
"\n", | ||
"### 1) Replicate the lesson code. I recommend that you [do not copy-paste](https://docs.google.com/document/d/1ubOw9B3Hfip27hF2ZFnW3a3z9xAgrUDRReOEo-FHCVs/edit).\n", | ||
"\n", | ||
"### 2) Reproduce one of the following using the matplotlib or seaborn libraries:\n", | ||
"\n", | ||
"- [thanksgiving-2015](https://fivethirtyeight.com/features/heres-what-your-part-of-america-eats-on-thanksgiving/) (try the [`altair`](https://altair-viz.github.io/gallery/index.html#maps) library)\n", | ||
"- [candy-power-ranking](https://fivethirtyeight.com/features/the-ultimate-halloween-candy-power-ranking/) (try the [`statsmodels`](https://www.statsmodels.org/stable/index.html) library)\n", | ||
"- or another example of your choice!\n", | ||
"\n", | ||
"\n", | ||
"\n", | ||
"\n", | ||
"\n", | ||
"\n", | ||
"\n", | ||
"\n", | ||
"\n" | ||
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{ | ||
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"metadata": { | ||
"id": "7SY1ZHawyZvz", | ||
"colab_type": "code", | ||
"colab": {} | ||
}, | ||
"source": [ | ||
"# Your Work Here" | ||
], | ||
"execution_count": 0, | ||
"outputs": [] | ||
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"cell_type": "markdown", | ||
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"source": [ | ||
"# STRETCH OPTIONS\n", | ||
"\n", | ||
"### 2) Reproduce another example from [FiveThityEight's shared data repository](https://data.fivethirtyeight.com/).\n", | ||
"\n", | ||
"\n", | ||
"### 3) Make more charts!\n", | ||
"\n", | ||
"Choose a chart you want to make, from [Visual Vocabulary - Vega Edition](http://ft.com/vocabulary).\n", | ||
"\n", | ||
"Find the chart in an example gallery of a Python data visualization library:\n", | ||
"- [Seaborn](http://seaborn.pydata.org/examples/index.html)\n", | ||
"- [Altair](https://altair-viz.github.io/gallery/index.html)\n", | ||
"- [Matplotlib](https://matplotlib.org/gallery.html)\n", | ||
"- [Pandas](https://pandas.pydata.org/pandas-docs/stable/visualization.html)\n", | ||
"\n", | ||
"Reproduce the chart. [Optionally, try the \"Ben Franklin Method.\"](https://docs.google.com/document/d/1ubOw9B3Hfip27hF2ZFnW3a3z9xAgrUDRReOEo-FHCVs/edit) If you want, experiment and make changes.\n", | ||
"\n", | ||
"Take notes. Consider sharing your work with your cohort!" | ||
] | ||
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"id": "dRJkKftiy5BJ", | ||
"colab_type": "code", | ||
"colab": {} | ||
}, | ||
"source": [ | ||
"# More Work Here" | ||
], | ||
"execution_count": 0, | ||
"outputs": [] | ||
} | ||
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} |