Project - 1 | Data Analysis with Python | #DataScience | Weather Dataset

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In this video, you will learn how to work on a real project of Data Analysis with Python. Questions are given in the project and then solved with the help of Python. It is a project of Data Analysis with Python or you can say, Data Science with Python.

The commands that we used in this project :

* head() - It shows the first N rows in the data (by default, N=5).
* shape - It shows the total no. of rows and no. of columns of the dataframe
* index - This attribute provides the index of the dataframe
* columns - It shows the name of each column
* dtypes - It shows the data-type of each column
* unique() - In a column, it shows all the unique values. It can be applied on a single column only, not on the whole dataframe.
* nunique() - It shows the total no. of unique values in each column. It can be applied on a single column as well as on the whole dataframe.
* count - It shows the total no. of non-null values in each column. It can be applied on a single column as well as on the whole dataframe.
* value_counts - In a column, it shows all the unique values with their count. It can be applied on a single column only.
* info() - Provides basic information about the dataframe.

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Q. 1) Find all the unique 'Wind Speed' values in the data.
Q. 2) Find the number of times when the 'Weather is exactly Clear'.
Q. 3) Find the number of times when the 'Wind Speed was exactly 4 km/h'.
Q. 4) Find out all the Null Values in the data.
Q. 5) Rename the column name 'Weather' of the dataframe to 'Weather Condition'.
Q. 6) What is the mean 'Visibility' ?
Q. 7) What is the Standard Deviation of 'Pressure' in this data?
Q. 8) What is the Variance of 'Relative Humidity' in this data ?
Q. 9) Find all instances when 'Snow' was recorded.
Q. 10) Find all instances when 'Wind Speed is above 24' and 'Visibility is 25'.
Q. 11) What is the Mean value of each column against each 'Weather Condition ?
Q. 12) What is the Minimum & Maximum value of each column against each 'Weather Condition ?
Q. 13) Show all the Records where Weather Condition is Fog.
Q. 14) Find all instances when 'Weather is Clear' or 'Visibility is above 40'.
Q. 15) Find all instances when :
A. 'Weather is Clear' and 'Relative Humidity is greater than 50'
or
B. 'Visibility is above 40'

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You must check our other videos :

#python #dataanalytics #datascience #project

[data_science_lovers]

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[Soman]

No unnecessary discussion, to the point explanation, best suited for beginners

[lakshminarasimhanv]

Fantastic. I am a senior citizen and new to Data Analytics. You made it easy for me. God bless you.

[abhishekbhattacharjee]

The best video anyone can find in youtube...No unnecessary disscusion...simple way to teach in a laymen term ...perfect solid video

[hempasnani]

No timepass just on to the point info . Great project video !

[navikaur]

Many online tutor available to teach such subjects. They are doing good job no doubt. But the way you are teaching really appreciable. thank you for explaining this concept with real world example and it is really very helpful. Thank you so much sir. BIG FAN OF YOURS TEACHING

[flexambassador]

Honestly I just started but you have given me a reason to continue... Quality video indeed...

[gopikishan]

This is one of the best video on data analysis using python . No mislead or confusing things .It made python so easy and my hopes are rise again to pursue my carrier in this field. you so much sir for your valuable knowledge and time.

[andreatheanalyst]

I agree with everyone else! This is the BEST tutorial for python training. It has helped man light bulbs click and made me more confident in cleaning datasets in python! YOU ARE THE BEST FOR THIS!!!

[preside]

I hardly comment. But in this video, you sure made python easy direct for young once in programing. Great approach in explaining and showing reason. 👍

[helovesdata]

I've watched some great data analysis tutorial but your method is the best. You use real life questions in which we will have on almost every project.

[SanyAnnieJohn]

Very clearly explained, such that even a beginner can grasp easily

[KOKIwriter]

excellent course. Modules are very well arranged. Good for Data Analysts who want to use Python for VIsualizations.

[ayeshaheffner]

THANK YOU for making such a clear instructional video. You explained things so simply, this video is perfect for a beginner to learn.

[essamanbar]

This is my first python project, and It was a really useful project.
Thanks!!

[nsimbamvinvi]

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[bhuvan]

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[rohitk]

Best way to learn a project is by doing projects !! Thank you for uploading such a simple yet meaningful video !! Much appreciated :)

[mainlykanchan]

Thanks for sharing your knowledge. Mere liye ye bhut helpful h 🙏🏼🙏🏼🙏🏼

[plekshmi]

omg excellent class. really i noted everything and applied it with another dataset in jupiter notebook. got output, thank lot sir. really thank lot