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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Dataset on GitHub
In this tutorial, we will create data visualizations of popular YouTube channels using Python, Plotly Express, and Google Colab. We will use a histogram to look at subscriber counts, a pie chart to compare video categories, and a box plot to find patterns in the years that creators started YouTubing.
Pandas is the most widely used open source Python package to perform data analytics. To use it, we will import pandas as pd. pd serves as the alias (nickname) for referring to the Pandas package in our program.
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