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Data Analysis with Python | Air Quality #python #dataanalytics #datascience

5.2K views· 143 likes· 35:38· Jul 6, 2022

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In this video, you will learn how to analyse the Big Data with Python. Questions are given and then solved with the help of Python. Questions - 1. Show the Year-wise average pollution with a Line chart. 2. Draw the Area plot showing the average pollution Month wise. 3. Draw a Bar graph to show the Hour-wise average pollution. 4. Usually in which month/s, the air was recorded 'Very Unhealthy'. 5. Usually in which month/s, the air was fresh(good). 6. In year 2018, how many times the AQI was recorded 'Moderate'. 7. How was the weather in the month of January and July. -------------------------------------------------- Download Dataset File - https://drive.google.com/file/d/1qMninKjD4JQdO07aPrVFhJZOL15wvwJH/view?usp=sharing -------------------------------------------------- Download - Complete Course Notes - Data Analyst Self Study Material (Rs.250) - https://datasciencelovers.graphy.com/products/Python---Data-Analytics-Study-Material-64d7b0bdfd6efd7c4587e233?dgps_s=dsh&dgps_u=c&dgps_uid=64cb5694e4b000cf748a30c2&dgps_t=cp_m ..................................................... Python Pandas Notes ( Rs.99 ) - https://rzp.io/l/pandas-notes ..................................................... Buy our "Self Study Material", which includes all the Projects Source Codes and Notes of the complete Data Analytics course, which contain all commands of Core Python, Numpy, Pandas, Matplotlib, SQL that we use for Big-Data Analytics ..................................................... Contact Mail Id : datasciencelovers@gmail.com ..................................................... Follow on Instagram - https://www.instagram.com/data_science_lovers Join our Telegram Channel - https://t.me/dsl99900 Join our Facebook Group - https://www.facebook.com/groups/2637191416382018 Like our Facebook Page - https://www.facebook.com/LoveDataScience --------------------------------- You must check our other videos : Technical Interview Q/A - https://youtu.be/uaLHWSgyrnQ 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 #datascience #python #bigdata

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