Sage Research Methods Video: Data Science, Big Data Analytics, and Digital Methods - An Introduction to Exploratory Data Analysis With Python

Name: An Introduction to Exploratory Data Analysis With Python
Uploaded: 2021-12-16
Duration: 12 min 46 s
Description: Angela Baltes, PhD, Senior Research Analyst, American Public Education, Inc., discusses exploratory data analysis with Python, including how to get started, importing libraries, reading-in data, working with descriptive statistics, data types and null values, counts, sorts, and visualizations.

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Video Type: Tutorial

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  Baltes, A. (Practitioner). (2022). An introduction to exploratory data analysis with python [Video]. Sage Research Methods. https://doi.org/10.4135/9781529601695
  
  Baltes, Angela. "An Introduction to Exploratory Data Analysis With Python." In Sage Video. : SAGE Publications, Ltd., 2022. Video, 00:12:46. https://doi.org/10.4135/9781529601695.
  
  Baltes, A., 2022. An Introduction to Exploratory Data Analysis With Python, Sage Video. [Streaming Video] London: Sage Publications Ltd. Available at: <https://doi.org/10.4135/9781529601695 & gt; [Accessed 25 Sep 2023].
  
  Baltes, Angela. An Introduction to Exploratory Data Analysis With Python. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 16 Dec 2021. doi: https://doi.org/10.4135/9781529601695. 25 Sep 2023.
  
  An Introduction to Exploratory Data Analysis With Python [Streaming video]. 2022. doi:10.4135/9781529601695. Accessed 09/25/2023
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Summary
Chapters
Video Info
Supplementary material

Summary

Angela Baltes, PhD, Senior Research Analyst, American Public Education, Inc., discusses exploratory data analysis with Python, including how to get started, importing libraries, reading-in data, working with descriptive statistics, data types and null values, counts, sorts, and visualizations.

Chapter 1: Angela Baltes Introduces Using Python and Anaconda for Data Visualization
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- Start time: 00:00:00
- End time: 00:03:23
Chapter 2: Angela Baltes Discusses How to Get Started With Anaconda and Jupyter for Data Visualization
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- Start time: 00:03:24
- End time: 00:05:58
Chapter 3: Angela Baltes Discusses Importing Libraries, Reading-In Data, and Working With Descriptive Statistics, Data Types and Null Values in Python
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- Start time: 00:05:59
- End time: 00:09:23
Chapter 4: Angela Baltes Discusses Counts, Sorts, and Data Visualization in Python
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- Start time: 00:09:24
- End time: 00:12:46

Product: Sage Research Methods Video: Data Science, Big Data Analytics, and Digital Methods
Type of Content: Tutorial
Title: An Introduction to Exploratory Data Analysis With Python
Publisher: SAGE Publications, Ltd.
- Publication year: 2022
- Online pub date: December 16, 2021
Discipline: Technology
Methods: Data science, Exploratory data analysis, Python, Data management, Data visualization, Data analysis skills
Duration: 00:12:46
DOI: https://doi.org/10.4135/9781529601695
Keywords:
algorithms, coding, data analysis, data management, data manipulation, data visualisation, exploratory data analysis, open source, Statistical packages, Storytelling
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Practitioner: Angela Baltes

Online ISBN: 9781529601695

Copyright: ©SAGE Publications Ltd., 2022

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  Baltes, A. (Practitioner). (2022). An introduction to exploratory data analysis with python [Video]. Sage Research Methods. https://doi.org/10.4135/9781529601695
  
  Baltes, Angela. "An Introduction to Exploratory Data Analysis With Python." In Sage Video. : SAGE Publications, Ltd., 2022. Video, 00:12:46. https://doi.org/10.4135/9781529601695.
  
  Baltes, A., 2022. An Introduction to Exploratory Data Analysis With Python, Sage Video. [Streaming Video] London: Sage Publications Ltd. Available at: <https://doi.org/10.4135/9781529601695 & gt; [Accessed 25 Sep 2023].
  
  Baltes, Angela. An Introduction to Exploratory Data Analysis With Python. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 16 Dec 2021. doi: https://doi.org/10.4135/9781529601695. 25 Sep 2023.
  
  An Introduction to Exploratory Data Analysis With Python [Streaming video]. 2022. doi:10.4135/9781529601695. Accessed 09/25/2023
  copy to clipboard
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