Master DataFrame Creation in Pandas for EDA 🐼 | Vienna Hotels Series Part 5

## Exploratory Data Analysis Python Tutorial Series on Vienna Hotels - Part 5 of 6 In this video, we dive into multiple linear regression, adding more explanatory variables to enhance our model's ability to explain variations in price. We'll use Pandas to create a DataFrame, and filter and transform the data. We'll focus on incorporating variables such as hotel stars and ratings, turning stars into binary or dummy variables, and fitting a model to better understand hotel pricing. 🎓 For the blog post + code snippets from this video, visit: https://bit.ly/eda-python-tutorial-hotels-2 ## See the full EDA with Python Tutorial Series Part 1: https://www.youtube.com/watch?v=xJl4_wrWWw4 Part 2: https://www.youtube.com/watch?v=gsFLjlaWkOk Part 3: https://www.youtube.com/watch?v=jWSAdhZJqhI Part 4: https://www.youtube.com/watch?v=Pkso7J9osY8 Part 5: https://www.youtube.com/watch?v=3whIUhAb8js Part 6: https://www.youtube.com/watch?v=ZxpV6ZRxvnw ## Timestamps 00:00 - Introduction to Multiple Linear Regression 00:10 - Adding More Explanatory Variables 00:25 - Goal: Explain More Variation in Price 00:40 - Using R Squared to Represent Variation 00:55 - Incorporating Hotel Stars and Ratings 01:10 - Using Stars as Binary Variables 01:25 - Filtering Data for Hotels with 3 to 4 Stars 01:55 - Preparing Data for Model Fitting 02:10 - Creating DataFrame for Analysis 02:30 - Renaming Columns for Clarity 03:00 - Adding Stars and Ratings to DataFrame 03:20 - Filtering DataFrame by Stars 03:55 - Ensuring Stars as Dummy Variables 04:10 - Using Pandas' Get Dummies Function 04:30 - Concatenating DataFrames 05:00 - Cleaning Data and Preparing for Model Fitting 06:00 - Dropping Unnecessary Columns 06:30 - Adjusting Distances for Accuracy 07:00 - Filtering Prices to Handle Influential Values 07:30 - Checking Descriptive Statistics 08:00 - Reviewing and Renaming Dummy Variables 09:00 - Discussing the Role of Dummy Variables in Regression 09:45 - Ensuring Data Readiness for Model Fitting 10:30 - Previewing Next Steps: Fitting the Model 11:00 - Break and Upcoming Content If you enjoyed this video, please like and subscribe to our channel! Leave a comment if there's a topic you'd like us to cover next. 🎓 Visit https://codingnomads.com for more resources and to become a coding pro. See you in the next video!