Walmart Coffee Exploratory Data Analysis. Data Extracted with SerpApi 🧡
You can explore this project on your own that is available on GitHub: dimitryzub/walmart-stores-coffee-analysis
SerpApi client library for Node.js. Previously: Google Search Results Node.js.
SerpApi is an API that let's you receive structured JSON data from 26 search engines in 10 languages.
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
# https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.fillna.html coffee_types = coffee_df['coffee_type'].fillna(method='ffill') # fill with None coffee_types_new =  # split by comma and extend the new list with split values # https://stackoverflow.com/a/27886807/15164646 for coffee_type in coffee_types: coffee_types_new.extend(coffee_type.split(','))
matplotlib: plotting with Python
Install libraries and tell matplotlib to plot inline (inside notebook) with the help of % magic functions which sets the backend of matplotlib to the inline backend:
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