Analyse Airlines' Flights Dataset like a Pro with Python #dataanalysis #python #airlines

📩 Download All 15 Projects Source Codes + Datasets : https://rzp.io/rzp/all15projects Download Dataset - https://drive.google.com/file/d/1WmsogvXYpK8HBDjQF3C0_JFKQTMY_Sc3/view?usp=sharing 👉Connect with me on LinkedIn - https://www.linkedin.com/in/rohit-grewal 👉Purchase - Python Data Analysis Self Study Notes & All Projects Source Codes (Rs.499 only) - https://rzp.io/l/dslnotes239 👉Download Project (Python Code & Data) - https://rzp.io/rzp/project11sourcecode --------------------------------- Watch our videos in Hindi on new channel: https://www.youtube.com/@ITCoursesEasy --------------------------------- 👉Enroll in our Udemy courses : 1. Python Data Analytics 13 Projects - https://www.udemy.com/course/bigdata-analysis-python/?referralCode=F75B5F25D61BD4E5F161 2. Python For Data Science - https://www.udemy.com/course/python-for-data-science-real-time-exercises/?referralCode=9C91F0B8A3F0EB67FE67 3. Numpy For Data Science - https://www.udemy.com/course/python-numpy-exercises/?referralCode=FF9EDB87794FED46CBDF ------------------------------------ 👉Join Facebook Group - https://www.facebook.com/groups/datasciencelovers 👉Join WhatsApp Group - https://chat.whatsapp.com/JKBkj7Lc9Ba6ZpzVSP5N4O 👉Join LinkedIn Group - https://www.linkedin.com/groups/9247278 👉Follow on Instagram - https://www.instagram.com/data_science_lovers Contact Mail Id : [email protected] ---------------------------------------- Download Free Core Python Notes - https://datasciencelovers.graphy.com/products/Core-Python-Notes-64d116f7c7a9985f7b99a5bf?dgps_s=dsh&dgps_u=c&dgps_uid=64cb5694e4b000cf748a30c2&dgps_t=cp_m --------------------------------------- Text version of this project - https://medium.com/@datasciencelovers/how-data-analysts-analyse-visualise-their-big-data-with-python-faf8a2b58f15?sk=31ac642e3e65fb0064fa782103d9ad95 -------------------------------------------- In this video, we have analysed the big dataset related to various Airlines' Flights. Here, The Flights Booking Dataset of various Airlines is a scraped date-wise from a famous website in a structured format. The dataset contains the records of flight travel details between the cities in India. Here, multiple features are present like Source & Destination City, Arrival & Departure Time, Duration & Price of the flight etc. This data is available as a CSV file. We are going to analyze this data set using the Pandas DataFrame. This analyse will be helpful for those working in Airlines, Travel domain. There are multiple questions given that we answered with Python : Q.1 What are the airlines in the dataset, accompanied by their frequencies? Q.2. Show Bar Graphs representing the Departure Time & Arrival Time. Q.3. Show Bar Graphs representing the Source City & Destination City. Q.4. Does price varies with airlines ? Q.5. Does ticket price change based on the departure time and arrival time? Q.6. How the price changes with change in Source and Destination? Q.7. How is the price affected when tickets are bought in just 1 or 2 days before departure? Q.8. How does the ticket price vary between Economy and Business class? Q.9. What will be the Average Price of Vistara airline for a flight from Delhi to Hyderabad in Business Class ? -------------------------------------------------------- You must check our other Data Analytics Projects : Project 14 - Salary Data Analysis - https://youtu.be/TLIotspGcng Project 13 - HR Data Analytics - https://youtu.be/fykrwQD3HR4 Project 12 - AI Market Financial Data Analysis - https://youtu.be/WmJYHz_qn5s Project 11 - Airlines' Flights Data Analysis - https://youtu.be/gu3Ot78j_Gc Project 10 - Spotify-YouTube Data Analysis - https://youtu.be/xqtbBosGMl0 Project 9 - https://youtu.be/dQwnyCEZ-UU Project 8 - https://youtu.be/b7Kd0fLwgO4 Project 7 - https://youtu.be/AO5uhxa1R84 Project 6 - https://youtu.be/e1zKFSrKeLs Project 5 - https://youtu.be/q-Omt6LgRLc Project 4 - https://youtu.be/89eYAAPyRfo Project 3 - https://youtu.be/GyUbo45mVSE Project 2 - https://www.youtube.com/watch?v=fhiUl7f5DnI Project 1 - https://youtu.be/4hYOkHijtNw ------------------------------------------------------------------ Thanks all ! Don't forget to subscribe to get notifications of next projects.