How to Do Data Exploration (step-by-step tutorial on real-life dataset)

🐼 All you need to know about Pandas in one place! Download my Pandas Cheat Sheet (free) - https://misraturp.gumroad.com/l/pandascs In this video we learn how to explore a real-life dataset from NYC using Python and Pandas. We will dive deep into the data and find out potential problems, issues to fix and extract insights from it. If you’d like to follow along, find the data here: https://data.cityofnewyork.us/Environment/2015-Street-Tree-Census-Tree-Data/uvpi-gqnh NYC Open Data - https://opendata.cityofnewyork.us/ 00:00 Welcome 00:34 Some notes on data exploration 01:15 Dataset explanations 05:26 First look into our dataset 06:58 Understanding columns 09:22 Filtering out the unnecessary columns 11:45 Missing value check 12:49 Numerical values check 15:08 Outliers check 19:57 Categorical values check 24:57 Explore distribution of binary columns 26:40 Summary 👋 Keep in touch? ========================== 🐥 Twitter - https://twitter.com/misraturp 🔗 LinkedIn - https://linkedin.com/in/misraturp/ 📹 YouTube - https://youtube.com/@misraturp 🌎 Website - https://misraturp.com/ Courses & resources ============================ 📙 Fundamentals of Deep Learning in 25 pages https://misraturp.gumroad.com/l/fdl 🤖 Deep Learning 101 with Python and Keras (FREE) https://youtube.com/playlist?list=PLM8lYG2MzHmQn55ii0duXdO9QSoDF5myF 🏃‍♀️ Data Science Kick-starter mini-course (FREE) https://misraturp.gumroad.com/l/kick-starter 🐼 Pandas cheat sheet (FREE) https://misraturp.gumroad.com/l/pandascs 📝 NNs hyperparameters cheat sheet (FREE) https://misraturp.gumroad.com/l/hcs