OpenML
FIFA20-Players-Dataset-with-Stats--Images

FIFA20-Players-Dataset-with-Stats--Images

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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About Dataset This data set includes15K Fifa20 Players with 15+ features and their images , including their position, age, and Country, and many more. It can be used for learning Statistics, Performing Data Analysis, and Data Visualization using various libraries like Seaborn, Pandas-Bokeh, and Plotly. It can be used to plot various Plots to understand the comparison between various features. References Sofifa.com

74 features

Namestring14878 unique values
0 missing
Image (ignore)string14944 unique values
0 missing
Countrystring161 unique values
0 missing
Positionstring615 unique values
0 missing
Agenumeric27 unique values
0 missing
Overallnumeric35 unique values
0 missing
Potentialnumeric35 unique values
0 missing
Clubstring666 unique values
224 missing
IDnumeric14944 unique values
0 missing
Heightstring21 unique values
0 missing
Weightstring55 unique values
0 missing
Footstring2 unique values
0 missing
BOVnumeric36 unique values
0 missing
BPstring15 unique values
0 missing
Growthnumeric24 unique values
0 missing
Joinedstring1655 unique values
0 missing
Loan_Date_Endstring23 unique values
13785 missing
Valuestring214 unique values
0 missing
Wagestring141 unique values
0 missing
Release_Clausestring997 unique values
0 missing
Attackingnumeric347 unique values
0 missing
Crossingnumeric87 unique values
0 missing
Finishingnumeric93 unique values
0 missing
Heading_Accuracynumeric89 unique values
0 missing
Short_Passingnumeric83 unique values
0 missing
Volleysnumeric86 unique values
0 missing
Skillnumeric385 unique values
0 missing
Dribblingnumeric92 unique values
0 missing
Curvenumeric89 unique values
0 missing
FK_Accuracynumeric89 unique values
0 missing
Long_Passingnumeric85 unique values
0 missing
Ball_Controlnumeric90 unique values
0 missing
Movementnumeric325 unique values
0 missing
Accelerationnumeric86 unique values
0 missing
Sprint_Speednumeric84 unique values
0 missing
Agilitynumeric80 unique values
0 missing
Reactionsnumeric59 unique values
0 missing
Balancenumeric81 unique values
0 missing
Powernumeric279 unique values
0 missing
Shot_Powernumeric79 unique values
0 missing
Jumpingnumeric71 unique values
0 missing
Staminanumeric85 unique values
0 missing
Strengthnumeric75 unique values
0 missing
Long_Shotsnumeric90 unique values
0 missing
Mentalitynumeric335 unique values
0 missing
Aggressionnumeric86 unique values
0 missing
Interceptionsnumeric87 unique values
0 missing
Positioningnumeric94 unique values
0 missing
Visionnumeric86 unique values
0 missing
Penaltiesnumeric86 unique values
0 missing
Composurenumeric85 unique values
0 missing
Defendingnumeric244 unique values
0 missing
Markingnumeric91 unique values
0 missing
Standing_Tacklenumeric88 unique values
0 missing
Sliding_Tacklenumeric86 unique values
0 missing
Goalkeepingnumeric219 unique values
0 missing
GK_Divingnumeric62 unique values
0 missing
GK_Handlingnumeric63 unique values
0 missing
GK_Kickingnumeric77 unique values
0 missing
GK_Positioningnumeric64 unique values
0 missing
GK_Reflexesnumeric66 unique values
0 missing
Total_Statsnumeric1297 unique values
0 missing
Base_Statsnumeric225 unique values
0 missing
W/Fnumeric5 unique values
0 missing
SMnumeric5 unique values
0 missing
A/Wstring3 unique values
0 missing
D/Wstring3 unique values
0 missing
IRnumeric5 unique values
0 missing
PACnumeric69 unique values
0 missing
SHOnumeric79 unique values
0 missing
PASnumeric66 unique values
0 missing
DRInumeric68 unique values
0 missing
DEFnumeric78 unique values
0 missing
PHYnumeric60 unique values
0 missing
Hitsstring505 unique values
0 missing

19 properties

14999
Number of instances (rows) of the dataset.
74
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
14009
Number of missing values in the dataset.
13785
Number of instances with at least one value missing.
58
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
78.38
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
91.91
Percentage of instances having missing values.
Average class difference between consecutive instances.
1.26
Percentage of missing values.

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