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Basic analysis with python

In this "first Basic analysis with python" repositories, I only show the basic python operations about preprocessing and data mining for many requirements that I made myself, any another skills like story telling, recommendation i will represent in second "Basic analysis with python" repositories . My data is also very simple in this part, there is only 1 table, showing the parameters of football players in 2019 .

📃 Data

image See all about the data here

📂 Task questions

⚽ Number of goals by ages.

⚽ Value of footballer by ages.

⚽ Number of goals by left and right leg.

⚽ Compare value between LB players (left winger) and RB players (right winger).

⚽ The ratio between "ball_control" ,"short_passing", "long_passing" first 10 player.

⚽ Find 10 elements which the most effect to "finishing" ability of footballer.

⚽ Show linear regression chart of first hundred observes between positioning and finishing.

⚽ FIND TOP 5 BEST PLAYER IN 4 POSITION ST(striker plug (TIEN DAO)), CDM(midfielder (TIEN VE)), CB(defender (HAU VE)), GK(goalkeeper (THU MON)).

🔎 Analyst

Click here and wait a few seconds

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