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

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#OlympicPredictions #OlympicsrPredictions2021 #OlympicsDataAnalysis #ExploratoryDataAnalysisOfOlympicsDataset #OlympicsPredictionUsingMachineLearning #MachineLearningTutorial #MachineLearningExplained #DataAnalytics #DataAnalyticsSimplilearn #Simplilearn

What is Data Analysis?
Data Analysis is the process of exploring and analyzing large datasets to find hidden patterns, unseen trends, discover correlations and valuable insights. Data Analytics and visualization can be used for Improved Decision Making, Better Customer Service, Efficient Operations as well as Effective Marketing. There are various steps involved in the data analytics process. Below are steps:
1. Understand the problem
2. Data Collection
3. Data Cleaning
4. Data Exploration and Analysis
5. Interpret the results

A Brief About the Olympic Games:
Olympics is one of the biggest sporting events featuring summer and winter sports competitions where thousands of athletes from around the world participate in a variety of competitions. More than 200 nations participate.The Olympic Games are usually held every four years, alternating between the Summer and Winter Olympics every two years in the four-year period. The International Olympic Committee (IOC) as formed in 1894 and the first modern Olympics was held in 1896.

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1. Eddie Eagan and Gillis Grafström Both of them are won the Summer and Winter Olympics.
2. London 2012
3. athletes_null_culumns =
athletes_null_culumns
Thank you sir

prathameshmane
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This is great!

I would like to see an analysis of athletes’ times as well.

kelvinkipkorir
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Answer to the Question to display the missing value columns in the form of list


athletes_list

apurvajoglekar
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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...

leonardogalindo
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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.

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

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

anilyadav-kybg
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Ans for Q @ 20:59
null_columns = [(i) for (i, j) in if j==0]
print(null_columns)

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

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

stephenaluya-ovih
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Awesome data analysis thank you for guidance 👍🏼

avinashkodidasu
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This video is great 💯
Looking forward to implement it

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

archismandey
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Great. Please upload more videos like this.

queendom
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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

arijitmondal
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1)Eddie Eagan, 2)Gillis Grafstrom

krishnamanohar
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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

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

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

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

chakravarthiemariappan