Скачать или смотреть UBER Data Analytics | Exploratory Data Analytics: UBER Drivers Dataset

In this video, we will sample the Exploratory Data Analytics of Uber Drivers Dataset.
First, we talk about what exploratory data analytics involves.
We perform descriptive statistics of the data and see if we get any insights.
We look into null values, duplicate data and other erroneous data and deal with them appropriately.
We plot bar charts, grouped bar charts of a number of trips with respect to category, purpose, start location, stop location, month wise, miles range wise, hour wise, day of the week and day/night.
We also plot some scatter plots between columns like start date and miles.
We look into some pie charts of trips with respect to columns like purpose and category.
We also see the histogram of miles.
On top of this much, EDA can be performed based on the requirement.

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Tags:
EDA, Python, Plotly, Seaborn, Numpy, Pandas, visualisation, Insights