Hello everyone! In today's lesson, we'll be diving into another exciting Python Pandas data analysis project, leveraging additional Python libraries. Our dataset will focus on the dynamic field of data science. We'll cover the entire process—from manipulating and grouping the data to in-depth analysis and visualization.
Stay tuned until the end, as we'll be creating a couple of informative charts and explaining each step in detail. Don't forget to subscribe to our channel to catch similar content in the future. Also, explore our other videos for more insights and a deeper understanding of the data science realm.
Thank you for joining us, and let's embark on this data exploration journey together! 🚀 #DataScience #PythonAnalysis #DataVisualization #SubscribeNow
2:40 - Dropping unnecessary columns in pandas
04:45 - Finding the average salary by year
16:05 - Showing the ratio of remote or non-remote employees.
21:50 - Visualize the company size based on the years
28:57 - Printing out the top 5 job titles
33:13 - Finding the distribution of salary by company size
42:20 - Creating a histogram showing the distribution of salaries by company size
44:42 - Finding the experience level of employees
#python #ai #bigdata #dataanalysis #datascience #project #pandas #datavisualization
Source:
https://github.com/Rruhid/data/blob/m...
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Data science project: Review the insights and analysis generated from our sales data throughout the project.
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