Data Science with Pandas: CSV, GroupBy & Plots π
Learn real-world data analysis using Pandas, Numpy, and Matplotlib: read CSV, group data, and create subplots for visualization.

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4.2K views β’ Sep 1, 2020

About this video
In this video, we are going to be using Numpy, Pandas, and Matplotlib to clean, analyze and visualize a real-world data set.
You will analyze, clean, prepare, and visualize data all with the help of Pandas.
0:47 Loading in Essential Libraries
1:49 Read in CSV or Excel
3:22 Data Types
5:31 Datetime
6:37 Using the STRIP function
11:58 Building a data cleaning function
20:57 Creating a Total Column
23:18 Handling NaNs
25:49 Answering Business Question 1
27:36 Using GROUP BY
30:56 Making Plots
38:12 Making Subplots
42:12 Answering Business Question 2
Get the source code and data set
https://github.com/Gaelim/Clinic_Analysis_Pandas
#DataAnlysis
#Pandas
#PythonDataAnalysis
#Matplotlib
#Seaborn
#DataCleaning
You will analyze, clean, prepare, and visualize data all with the help of Pandas.
0:47 Loading in Essential Libraries
1:49 Read in CSV or Excel
3:22 Data Types
5:31 Datetime
6:37 Using the STRIP function
11:58 Building a data cleaning function
20:57 Creating a Total Column
23:18 Handling NaNs
25:49 Answering Business Question 1
27:36 Using GROUP BY
30:56 Making Plots
38:12 Making Subplots
42:12 Answering Business Question 2
Get the source code and data set
https://github.com/Gaelim/Clinic_Analysis_Pandas
#DataAnlysis
#Pandas
#PythonDataAnalysis
#Matplotlib
#Seaborn
#DataCleaning
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Video Information
Views
4.2K
Likes
103
Duration
48:01
Published
Sep 1, 2020
User Reviews
4.6
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