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The data was scrapped from the KOGGLE website using a python.Dataset that has been used for this analysis provides statistics of about 16000 players on over 70 different attributes. These attributes are optimal indicators to determine the performance of a player at a particular playing position.
๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐๐ก๐ข๐๐ฏ๐๐ ๐ฎ๐ฌ๐ข๐ง๐ ๐ญ๐ก๐ ๐๐๐ญ๐.
๐๐ฎ๐๐ซ๐ข๐๐ฌ
โข Num. of rows-colums
โข Displaying all columns
โข Dropping some useless columns
โข Displaying columns for given positions
โข Displaying player with min age by sorting in list
โข Displaying player with top-5 high wage players
โข Filling the NaN,missing values with the median of the respective column
โข Displaying players of club & country etc....
๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐๐ญ๐จ๐ซ๐ฒ ๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ
โข Scatter Plot (colored by Age) year 2020 - Overall Rating vs Value in Euros
โข Pie chart proportion of right-foot players vs left-foot players
โข Histrogram of Player Age
โข Pie chart Describing the Percentage of Players in different Attacking positions
โข Pie chart Describing the Percentage of Players in different Mid-fielder positions
โข Pie chart Describing the Percentage of Players in different Defender positions
โข Chart displaying nationwise players count
โข MESSI VS RONALDO player comparison on the basis of their skills
โข Ploted chart of top 20 club & countries by overall player rating
โข Made costimized dream team
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๐๐ ๐-๐-๐ (๐๐๐๐๐๐) ๐
๐๐๐๐๐๐๐๐.