𝐀𝐛𝐨𝐮𝐭
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.
𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐝 𝐮𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐝𝐚𝐭𝐚.
𝐐𝐮𝐞𝐫𝐢𝐞𝐬
• Num. of rows-colums
• Displaying all columns
• Dropping some useless columns
• Displaying columns for given positions
• Displaying player with min age by sorting in list
• Displaying player with top-5 high wage players
• Filling the NaN,missing values with the median of the respective column
• Displaying players of club & country etc....
𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐨𝐫𝐲 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬
• Scatter Plot (colored by Age) year 2020 - Overall Rating vs Value in Euros
• Pie chart proportion of right-foot players vs left-foot players
• Histrogram of Player Age
• Pie chart Describing the Percentage of Players in different Attacking positions
• Pie chart Describing the Percentage of Players in different Mid-fielder positions
• Pie chart Describing the Percentage of Players in different Defender positions
• Chart displaying nationwise players count
• MESSI VS RONALDO player comparison on the basis of their skills
• Ploted chart of top 20 club & countries by overall player rating
• Made costimized dream team
𝐂𝐎𝐒𝐓𝐈𝐌𝐈𝐙𝐄𝐃 𝐁𝐄𝐒𝐓 𝐗𝐈 𝐅𝐎𝐑 𝟒-𝟑-𝟑 (𝐀𝐓𝐓𝐀𝐂𝐊) 𝐅𝐎𝐑𝐌𝐀𝐓𝐈𝐎𝐍.
