Olympics Data Analysis Using Python 2021 | Olympics Exploratory Data Analysis Tutorial | Simplilearn

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[@akscs373]

Lalu

[@Helloopal]

Make a video how to become software engineer with full details , salary

[@yokeshkumar7232]

can i get the datasets?

[@sahithinpashiv2creations146]

Sir speak loudly in tutorials ,some videos , voice quality is average

[@alygo6789]

Can you link to the dataset?

[@mugunthanc8660]

Ans for Q @ 20:59 null_columns = [(i) for (i, j) in athletes_df.isnull().sum().items() if j==0] print(null_columns)

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[@prathameshmane333]

1. Eddie Eagan and Gillis Grafström Both of them are won the Summer and Winter Olympics. 2. London 2012 3. athletes_null_culumns = athletes_df.columns[athletes_df.isnull().any()].tolist() athletes_null_culumns Thank you sir

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[@olamartins]

Two people who have won gold medal in both were: Edward Patrick Francis "Eddie" Eagan and Gillis Emanuel Grafstrm I filtered both seasons by Gold and merged both by ID.

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[@leonardogalindo7484]

Awesome video! Pretty clear and well explained. It shows great techniques that can be applied to any dataset that you might have under analysis. One hour of my time well invested, thanks for sharing...

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Glad it was helpful!

[@saadsaber6440]

The best learning platform ever

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[@kelvinkipkorir9298]

This is great! I would like to see an analysis of athletes’ times as well.

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[@apurvajoglekar3590]

Answer to the Question to display the missing value columns in the form of list athletes_list=athletes_df.columns[athletes_df.isnull().any()].tolist() athletes_list

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"Hi , This code snippet seems fine. Thank you answering. nan_values = df.isna() nan_columns = nan_values.any() columns_with_nan = df.columns[nan_columns].tolist() print(columns_with_nan)"

[@lokeshkumarreddy1869]

Good explanation, I thoroughly enjoyed the video. Keep the good work going 🤝

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[@avinashkodidasu6162]

Awesome data analysis thank you for guidance 👍🏼

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[@anilyadav-ky1bg]

Eddie Eagan and Gillis Grafström are athletes who won the gold medal in both olymoics.

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[@abhisheknewase5905]

This video is great 💯 Looking forward to implement it

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Great to hear!

[@bhushan8746]

Amazing!! Very helpful

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Glad it was helpful!

[@asmitamondal705]

loved it. thank you so much

[@FamilySeries55]

Great. Please upload more videos like this.

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Thank you, we surely will.

[@bikashkampo7494]

This is the formulation of great analysis. Pretty clear representation of the Olympic data. Thanks for sharing.

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Much appreciated!

[@archismandey7171]

Eddie Eagan and Gillis something(I dont remember ) won gold in both summer and winter olympics

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[@stephenaluya-ovih2869]

Eddie Eagan and Gillis Grafström both won gold medals in both the Summer and Winter Olympics 👍

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[@arkantaha93]

Thanks, fantastic analysis.

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Our pleasure!

[@himansusekharsadangi3550]

It's great insight.. thanks

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Glad it was helpful!

[@arijitmondal9445]

in the last problem is the scatter plot is for all the athletes or only for medalist as i dont see any filter for medal

[@sachinkumar_SRC]

%matplotlib inline its showing error in vs code how to fix it help me regarding this i have installed all packages

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HI please provide us full error for the better understanding. Thanks

[@krishnamanohar1190]

1)Eddie Eagan , 2)Gillis Grafstrom

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[@aditis9798]

What is the answer for printing column names containing missing values in list , asking since I didn't get the answer 😅

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"Apologize for the confusion. To print the column names containing missing values in a list using Python, you can use the following code: import pandas as pd # Assuming your DataFrame is named 'df' columns_with_missing_values = df.columns[df.isnull().any()].tolist() print(columns_with_missing_values) This code uses the isnull() function to check for missing values in each column of the DataFrame. The any() function returns a boolean value indicating whether any missing values exist in each column. Finally, columns_with_missing_values is a list that contains the column names with missing values, and it is printed using the print() function. I hope this helps! Let me know if you have any further questions."

[@artyom9499]

That was insightful. Thanks.

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[@ankitanuraagparida8360]

Awesome ❤

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[@DineshPal-nw1ss]

please just clarify i want to become data analyst what i will do iam wathching this type video also thank u for nice teaching

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[@siddharthbhatt1531]

Great video!! Did not get the last part. Not null medals. There where are we checking for Medals column to be not null. We are only checking for the height and weight to be not null right? Can someone explain that part

[@amanmeena7289]

It was very interesting and helpful

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[@shirfilmohammed3191]

i=data.isna().any(axis=0).to_frame() i.reset_index(inplace=True) list(i.loc[i[0]==True]['index']) any other method for that question??

[@SimplilearnOfficial]

"Hi , You can use the below code sample: nan_values = df.isna() nan_columns = nan_values.any() columns_with_nan = df.columns[nan_columns].tolist() print(columns_with_nan)"

[@saiakshaykumar6081]

Good one

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[@chakravarthiemariappan714]

Edie eagan and Gills grafstrom were to win medals on both sesions

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[@sreekanthk9956]

Very good tutorial 👌👌

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[@mainiyale1773]

Interesting Video

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Thanks for watching

[@shomarypango1726]

Nice one

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Thanks for watching

[@HemanthKumar-ow5rv]

Good Content

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[@HemanthKumar-ow5rv]

Grt Video

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[@iProjectMobius]

This is awesome! Do you have a link where we can download the notebook/code?

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Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@jiberuba8856]

Where I can download the notebook?

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Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@vishnudixit7754]

just an idea, can you make a part 2 for this with some kind of a prediction (ML) model ?

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[@harryporterdigitalservices-r4m]

Incredible tutorial!

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[@ravikiranas]

nice video

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[@سلمى-ب2ط8س]

answer of the qs : print(list(athletes.isnull()))

[@yokeshkumar7232]

can i get the data sets

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Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@purbashachowdhury2985]

Would you please share the 2 datasets?

[@KillaniSurya]

sir can I have this jupyter notebook file for my better understanding? This File of containing the code you have done in this video

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Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@KillaniSurya]

I want the jupyter notebook file sir.

[@adi-rv7qv]

good but very very basic.

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[@abhishekvaishnavv]

Great!

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[@stephenaluya-ovih2869]

London Olympics 2012, all national Olympic committees sent a female athlete to the games.

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[@amanasati5198]

Eddie Eagan and Gillis Grafström were the only two athletes to win gold medals in both the Summer and Winter Olympics(googled😁😂)

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[@NarutoUzumaki-jh1be]

Eddie Eagan and Gillis Grafström

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[@rashmiranjan9044]

Please send me the dataset file for practice purpose.

[@rashmiranjan9044]

to my email address [e-mail]

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Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@knowledgecafe10]

I m the first visit on your video

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[@knowledgecafe10]

Please tag my channel one's in your next video.

[@DaljitSingh-ks6ci]

👍👍👍

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[@LavishinUK]

1st view🔥

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[@npr1m991]

Great video! Remark: Don't the dataset contain any redondance ? Like... some athletes appear in multiple disciplines on same events. It can be tricky when evaluating female participation for example. (Didn't look at the dataset yet)

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[@peace8018]

Eddie Eagan and Gillis Grafström

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[@prateeksuryaprakash332]

Eddie Eagan and Gillis Grafström

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