add data viz readme

Author: bbelderbos

days/82-84-dataviz-plotly/README.md

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+# Data Vizualization with Plotly
+
+Welcome to this lesson. I prepared [a notebook](https://github.com/talkpython/100daysofcode-with-python-course/blob/master/days/82-84-dataviz-plotly/data-viz.ipynb) so you can follow along.
+
+[Plotly](https://plot.ly/python/) is a data visualization library that lets you create beautiful graphs and is easy to use. 
+
+In this lesson we use it to analyze PyBites' blog feed data.
+
+## Day 1: Getting the data
+
+We use `feedparser` and `collections.Counter` to prepare PyBites feed data, then use `plotly` to look at:
+
+1. how often we post,
+2. what categories we post most often in, and
+3. what are tags we commonly use on our posts.
+
+Today you watch the videos and follow along with [my notebook](https://github.com/talkpython/100daysofcode-with-python-course/blob/master/days/82-84-dataviz-plotly/data-viz.ipynb).
+
+At the end of today's lesson, I provide some additional links to data viz work we've done on our blog.
+
+## Day 2 and 3: Roll your own!
+
+With the materials provided try to get your hands on an interesting data set, be it your own or another source like [Kaggle](https://www.kaggle.com). 
+
+It should not be that hard, data is everywhere! You probably need some parsing and data cleaning, not the most fun part, but an important skill to have. 
+
+Pick one of many data viz libraries and create some cool visualizations and share them with us on Twitter.
+
+Lack inspiration? [Randy Olson](https://twitter.com/randal_olson) tends to tweet really cool [#dataviz stuff](https://twitter.com/hashtag/dataviz?src=hash), but remember start simple, this topic alone could cover a 100 Days :)
+
+Enjoy and remember: keep calm and code in Python!
+
+## Time to share what you've accomplished!
+
+Be sure to share your last couple of days work on Twitter or Facebook. Use the hashtag **#100DaysOfCode**.
+
+Here are [some examples](https://twitter.com/search?q=%23100DaysOfCode) to inspire you. Consider including [@talkpython](https://twitter.com/talkpython) and [@pybites](https://twitter.com/pybites) in your tweets.
+
+See a mistake in these instructions? Please [submit a new issue](https://github.com/talkpython/100daysofcode-with-python-course/issues) or fix it and [submit a PR](https://github.com/talkpython/100daysofcode-with-python-course/pulls).