class: center, middle, inverse, title-slide # R Markdown Output ## Last run on: 2022-11-15 06:08:52 --- # Overview This document has code embedded throughout. In the next section we will create a visualization using the already loaded dataset `eth_data`: ```r datatable(eth_data, options = list(lengthMenu = c(3, 5, 10))) ``` <div id="htmlwidget-789babfb14b9484530da" style="width:100%;height:auto;" class="datatables html-widget"></div> <script type="application/json" 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class=\"display\">\n <thead>\n <tr>\n <th> <\/th>\n <th>pair<\/th>\n <th>symbol<\/th>\n <th>ask_1_price<\/th>\n <th>date_time_utc<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"lengthMenu":[3,5,10],"columnDefs":[{"className":"dt-right","targets":3},{"orderable":false,"targets":0}],"order":[],"autoWidth":false,"orderClasses":false}},"evals":[],"jsHooks":[]}</script> --- # Price Chart - Ethereum <!-- --> --- # Python Code Example removed for now because of package install automation issues <!-- ```{python} --> <!-- import pandas as pd --> <!-- # Create the Python object from R --> <!-- df = r.cryptodata --> <!-- # Show the new Python dataframe --> <!-- df --> <!-- ``` --> <!-- --- --> <!-- # One more Python example --> <!-- The code below creates a new column `price_percentile` that specifies if the price for the row was in the upper or lower 50th percentile of prices (BTC should be upper and ETH lower): --> <!-- ```{python} --> <!-- import numpy as np --> <!-- # Create a new column based on the ask_1_price value: --> <!-- df['price_percentile'] = np.where(df['ask_1_price'] > --> <!-- np.percentile(df['ask_1_price'], 50), --> <!-- 'upper 50th percentile of prices', --> <!-- 'lower 50th percentile of prices') --> <!-- # Show modified dataframe: --> <!-- df[['symbol', 'ask_1_price', 'price_percentile']] --> <!-- ``` --> <!-- --- -->