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How to realize NBA player salary ranking by R data Visualization

2025-04-02 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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This article mainly introduces "how to realize NBA player salary ranking with R data Visualization". In daily operation, I believe many people have doubts about how to realize NBA player salary ranking with R data Visualization. The editor has consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubts about how R data Visualization can achieve NBA player salary ranking! Next, please follow the editor to study!

Import math

Import requests

From bs4 import BeautifulSoup

Headers = {"User-Agent": 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36'}

Fw = open ('NBA_salary_3.txt','w')

Fw.write ('% s\ t% s\ n%) ("year", "rk", "player", "position", "team", "salary"))

Years = list (range (2000)

For year in years:

URL = "http://www.espn.com/nba/salaries/_/year/" + str (year)

Print (URL)

Page = requests.get (URL,headers=headers)

Soup = BeautifulSoup (page.content,'html.parser')

Df = soup.find_all ('tr')

J = 0

For aa in df:

J = j + 1

If j = = 1:

Continue

Elif j > 1 and j < 12:

All_td = aa.find_all ('td')

Rk = all_td [0] .get _ text ()

Player_position = all_td [1] .get _ text ()

# print (player_position)

Player = player_position.split (",") [0]

Position = player_position.split (",") [1]

Team = all_td [2] .get _ text ()

Salary = all_td [3] .get _ text () .replace ("$", ") .replace (", ",")

Fw.write ('% s\ t% s\ n%) (str (year), rk,player,position,team,salary))

Else:

Break

Fw.close ()

First of all, let's take a look at the 2020 salary ranking top10library (ggplot2).

Ggplot (df1,aes (xymrkjime)) +

Geom_col (aes (fill=player)) +

Geom_label (aes (label=paste0 (salary, "Wan"), hjust=1)) +

Theme_bw () +

Scale_x_continuous (breaks = 1 df1 10 labels = df1 $player) +

Coord_flip () + labs (x = "", y = "") +

Theme (legend.position = "none")

Image.png then makes a dynamic bar chart.

The tool used is the gganimate package in R language.

The code used is

Df

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