Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory898.4 KiB
Average record size in memory92.0 B

Variable types

Categorical3
Numeric4
Text3

Dataset

Description그랜드코리아레저(주)에서 운영 중인 3개 영업점(강남코엑스점, 서울드래곤시티점, 부산롯데점)의 전자게임운영팀 이벤트 내역에 따른 참가고객 정보
URLhttps://www.data.go.kr/data/15044492/fileData.do

Alerts

비고 is highly overall correlated with 연도 and 2 other fieldsHigh correlation
영업점 is highly overall correlated with 비고High correlation
연도 is highly overall correlated with 이벤트차수 and 1 other fieldsHigh correlation
이벤트차수 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
비고 is highly imbalanced (95.0%)Imbalance

Reproduction

Analysis started2023-12-12 07:20:47.611207
Analysis finished2023-12-12 07:20:51.026871
Duration3.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영업점
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
롯데
3917 
드래곤
3599 
코엑스
2484 

Length

Max length3
Median length3
Mean length2.6083
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row코엑스
2nd row롯데
3rd row롯데
4th row드래곤
5th row코엑스

Common Values

ValueCountFrequency (%)
롯데 3917
39.2%
드래곤 3599
36.0%
코엑스 2484
24.8%

Length

2023-12-12T16:20:51.087140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:51.182953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
롯데 3917
39.2%
드래곤 3599
36.0%
코엑스 2484
24.8%

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.2494
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:20:51.283569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2019
Q32020
95-th percentile2022
Maximum2023
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7763207
Coefficient of variation (CV)0.00087969356
Kurtosis-0.87015851
Mean2019.2494
Median Absolute Deviation (MAD)1
Skewness0.52700817
Sum20192494
Variance3.1553152
MonotonicityNot monotonic
2023-12-12T16:20:51.420758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2019 2835
28.3%
2022 2014
20.1%
2018 1927
19.3%
2017 1840
18.4%
2020 1159
11.6%
2023 225
 
2.2%
ValueCountFrequency (%)
2017 1840
18.4%
2018 1927
19.3%
2019 2835
28.3%
2020 1159
11.6%
2022 2014
20.1%
2023 225
 
2.2%
ValueCountFrequency (%)
2023 225
 
2.2%
2022 2014
20.1%
2020 1159
11.6%
2019 2835
28.3%
2018 1927
19.3%
2017 1840
18.4%

이벤트차수
Real number (ℝ)

HIGH CORRELATION 

Distinct180
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167.1533
Minimum18
Maximum540
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:20:51.572165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile41
Q193
median132
Q3200
95-th percentile480
Maximum540
Range522
Interquartile range (IQR)107

Descriptive statistics

Standard deviation120.83442
Coefficient of variation (CV)0.72289579
Kurtosis2.1812
Mean167.1533
Median Absolute Deviation (MAD)47
Skewness1.669056
Sum1671533
Variance14600.956
MonotonicityNot monotonic
2023-12-12T16:20:51.730917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160 431
 
4.3%
158 236
 
2.4%
232 224
 
2.2%
414 222
 
2.2%
109 203
 
2.0%
227 198
 
2.0%
114 175
 
1.8%
140 164
 
1.6%
169 160
 
1.6%
161 153
 
1.5%
Other values (170) 7834
78.3%
ValueCountFrequency (%)
18 56
0.6%
21 18
 
0.2%
23 43
0.4%
24 3
 
< 0.1%
25 29
0.3%
26 52
0.5%
27 12
 
0.1%
28 41
0.4%
29 8
 
0.1%
30 20
 
0.2%
ValueCountFrequency (%)
540 5
 
0.1%
539 8
 
0.1%
538 8
 
0.1%
536 89
0.9%
535 8
 
0.1%
534 37
 
0.4%
511 97
1.0%
510 2
 
< 0.1%
509 10
 
0.1%
508 8
 
0.1%

이벤트명
Text

Distinct183
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:20:52.097934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length16.4937
Min length9

Characters and Unicode

Total characters164937
Distinct characters209
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowJACKPOT TAX PAYBACK(연장)
2nd row부산점 연말 행운권 추첨 이벤트
3rd row부산점 매일 매일 다트가쏜다 이벤트
4th row힐튼점 머신게임 REWARD 행사
5th row강남점 설맞이 사은행사(사은품)
ValueCountFrequency (%)
부산점 3560
 
9.6%
힐튼점 3543
 
9.6%
이벤트 2986
 
8.1%
강남점 2372
 
6.4%
추첨 986
 
2.7%
사은행사 963
 
2.6%
추석맞이 849
 
2.3%
스크래치 833
 
2.2%
매일매일 827
 
2.2%
설맞이 750
 
2.0%
Other values (186) 19422
52.4%
2023-12-12T16:20:52.685947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27205
 
16.5%
점 9643
 
5.8%
사 5810
 
3.5%
이 5673
 
3.4%
행 4085
 
2.5%
트 3684
 
2.2%
산 3565
 
2.2%
부 3565
 
2.2%
튼 3543
 
2.1%
힐 3543
 
2.1%
Other values (199) 94621
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102233
62.0%
Space Separator 27205
 
16.5%
Uppercase Letter 14886
 
9.0%
Lowercase Letter 13280
 
8.1%
Decimal Number 3031
 
1.8%
Close Punctuation 1906
 
1.2%
Open Punctuation 1906
 
1.2%
Other Punctuation 490
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 9643
 
9.4%
사 5810
 
5.7%
이 5673
 
5.5%
행 4085
 
4.0%
트 3684
 
3.6%
산 3565
 
3.5%
부 3565
 
3.5%
튼 3543
 
3.5%
힐 3543
 
3.5%
일 3056
 
3.0%
Other values (139) 56066
54.8%
Uppercase Letter
ValueCountFrequency (%)
E 1886
12.7%
A 1412
 
9.5%
D 1258
 
8.5%
T 1076
 
7.2%
G 1045
 
7.0%
P 949
 
6.4%
K 766
 
5.1%
W 736
 
4.9%
Y 733
 
4.9%
C 732
 
4.9%
Other values (13) 4293
28.8%
Lowercase Letter
ValueCountFrequency (%)
a 2498
18.8%
e 1726
13.0%
y 1411
10.6%
p 1179
8.9%
i 964
 
7.3%
l 929
 
7.0%
m 927
 
7.0%
c 517
 
3.9%
o 441
 
3.3%
u 439
 
3.3%
Other values (12) 2249
16.9%
Decimal Number
ValueCountFrequency (%)
3 1117
36.9%
0 504
16.6%
1 476
15.7%
2 344
 
11.3%
7 214
 
7.1%
4 164
 
5.4%
5 94
 
3.1%
8 61
 
2.0%
6 34
 
1.1%
9 23
 
0.8%
Other Punctuation
ValueCountFrequency (%)
! 467
95.3%
, 23
 
4.7%
Space Separator
ValueCountFrequency (%)
27205
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1906
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1906
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102233
62.0%
Common 34538
 
20.9%
Latin 28166
 
17.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 9643
 
9.4%
사 5810
 
5.7%
이 5673
 
5.5%
행 4085
 
4.0%
트 3684
 
3.6%
산 3565
 
3.5%
부 3565
 
3.5%
튼 3543
 
3.5%
힐 3543
 
3.5%
일 3056
 
3.0%
Other values (139) 56066
54.8%
Latin
ValueCountFrequency (%)
a 2498
 
8.9%
E 1886
 
6.7%
e 1726
 
6.1%
A 1412
 
5.0%
y 1411
 
5.0%
D 1258
 
4.5%
p 1179
 
4.2%
T 1076
 
3.8%
G 1045
 
3.7%
i 964
 
3.4%
Other values (35) 13711
48.7%
Common
ValueCountFrequency (%)
27205
78.8%
) 1906
 
5.5%
( 1906
 
5.5%
3 1117
 
3.2%
0 504
 
1.5%
1 476
 
1.4%
! 467
 
1.4%
2 344
 
1.0%
7 214
 
0.6%
4 164
 
0.5%
Other values (5) 235
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102233
62.0%
ASCII 62704
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27205
43.4%
a 2498
 
4.0%
) 1906
 
3.0%
( 1906
 
3.0%
E 1886
 
3.0%
e 1726
 
2.8%
A 1412
 
2.3%
y 1411
 
2.3%
D 1258
 
2.0%
p 1179
 
1.9%
Other values (50) 20317
32.4%
Hangul
ValueCountFrequency (%)
점 9643
 
9.4%
사 5810
 
5.7%
이 5673
 
5.5%
행 4085
 
4.0%
트 3684
 
3.6%
산 3565
 
3.5%
부 3565
 
3.5%
튼 3543
 
3.5%
힐 3543
 
3.5%
일 3056
 
3.0%
Other values (139) 56066
54.8%

이벤트기간
Text

Distinct188
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:20:53.108196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters130000
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row12-09 ~ 12-30
2nd row12-20 ~ 12-30
3rd row01-01 ~ 03-31
4th row08-01 ~ 12-31
5th row01-21 ~ 02-28
ValueCountFrequency (%)
10000
33.3%
12-31 1111
 
3.7%
06-30 716
 
2.4%
03-31 625
 
2.1%
09-30 565
 
1.9%
01-18 524
 
1.7%
04-01 519
 
1.7%
01-01 501
 
1.7%
11-30 463
 
1.5%
04-27 446
 
1.5%
Other values (187) 14530
48.4%
2023-12-12T16:20:53.702174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25175
19.4%
- 20000
15.4%
20000
15.4%
1 19606
15.1%
2 10032
 
7.7%
~ 10000
 
7.7%
3 7330
 
5.6%
9 3701
 
2.8%
4 3514
 
2.7%
5 3004
 
2.3%
Other values (3) 7638
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80000
61.5%
Dash Punctuation 20000
 
15.4%
Space Separator 20000
 
15.4%
Math Symbol 10000
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25175
31.5%
1 19606
24.5%
2 10032
 
12.5%
3 7330
 
9.2%
9 3701
 
4.6%
4 3514
 
4.4%
5 3004
 
3.8%
7 2849
 
3.6%
8 2569
 
3.2%
6 2220
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%
Space Separator
ValueCountFrequency (%)
20000
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 130000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25175
19.4%
- 20000
15.4%
20000
15.4%
1 19606
15.1%
2 10032
 
7.7%
~ 10000
 
7.7%
3 7330
 
5.6%
9 3701
 
2.8%
4 3514
 
2.7%
5 3004
 
2.3%
Other values (3) 7638
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 130000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25175
19.4%
- 20000
15.4%
20000
15.4%
1 19606
15.1%
2 10032
 
7.7%
~ 10000
 
7.7%
3 7330
 
5.6%
9 3701
 
2.8%
4 3514
 
2.7%
5 3004
 
2.3%
Other values (3) 7638
 
5.9%

국적
Text

Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:20:53.903504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length2
Mean length3.142
Min length2

Characters and Unicode

Total characters31420
Distinct characters101
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row중국
2nd row일본
3rd row러시아
4th row베트남
5th row캐나다
ValueCountFrequency (%)
중국 2976
29.8%
일본 1252
12.5%
미국 1113
 
11.1%
대한민국(영주권자 946
 
9.5%
몽골 669
 
6.7%
대만 506
 
5.1%
러시아 343
 
3.4%
베트남 324
 
3.2%
우즈베키스탄 301
 
3.0%
캐나다 283
 
2.8%
Other values (44) 1288
12.9%
2023-12-12T16:20:54.287865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 5112
 
16.3%
중 2976
 
9.5%
대 1452
 
4.6%
일 1291
 
4.1%
본 1252
 
4.0%
미 1141
 
3.6%
주 1065
 
3.4%
자 1005
 
3.2%
영 955
 
3.0%
한 946
 
3.0%
Other values (91) 14225
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29527
94.0%
Close Punctuation 946
 
3.0%
Open Punctuation 946
 
3.0%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 5112
17.3%
중 2976
 
10.1%
대 1452
 
4.9%
일 1291
 
4.4%
본 1252
 
4.2%
미 1141
 
3.9%
주 1065
 
3.6%
자 1005
 
3.4%
영 955
 
3.2%
한 946
 
3.2%
Other values (88) 12332
41.8%
Close Punctuation
ValueCountFrequency (%)
) 946
100.0%
Open Punctuation
ValueCountFrequency (%)
( 946
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29527
94.0%
Common 1893
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 5112
17.3%
중 2976
 
10.1%
대 1452
 
4.9%
일 1291
 
4.4%
본 1252
 
4.2%
미 1141
 
3.9%
주 1065
 
3.6%
자 1005
 
3.4%
영 955
 
3.2%
한 946
 
3.2%
Other values (88) 12332
41.8%
Common
ValueCountFrequency (%)
) 946
50.0%
( 946
50.0%
1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29527
94.0%
ASCII 1893
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 5112
17.3%
중 2976
 
10.1%
대 1452
 
4.9%
일 1291
 
4.4%
본 1252
 
4.2%
미 1141
 
3.9%
주 1065
 
3.6%
자 1005
 
3.4%
영 955
 
3.2%
한 946
 
3.2%
Other values (88) 12332
41.8%
ASCII
ValueCountFrequency (%)
) 946
50.0%
( 946
50.0%
1
 
0.1%

성별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
M
7552 
F
2448 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowF
3rd rowM
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M 7552
75.5%
F 2448
 
24.5%

Length

2023-12-12T16:20:54.461562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:54.576860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 7552
75.5%
f 2448
 
24.5%

출생연도
Real number (ℝ)

Distinct70
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1969.4841
Minimum1920
Maximum2001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:20:54.695493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1920
5-th percentile1949
Q11959
median1969
Q31980
95-th percentile1990
Maximum2001
Range81
Interquartile range (IQR)21

Descriptive statistics

Standard deviation13.003348
Coefficient of variation (CV)0.0066024132
Kurtosis-0.62929651
Mean1969.4841
Median Absolute Deviation (MAD)10
Skewness-0.061472873
Sum19694841
Variance169.08706
MonotonicityNot monotonic
2023-12-12T16:20:54.883652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1972 325
 
3.2%
1960 321
 
3.2%
1979 317
 
3.2%
1959 296
 
3.0%
1958 291
 
2.9%
1970 286
 
2.9%
1963 279
 
2.8%
1961 276
 
2.8%
1964 274
 
2.7%
1971 270
 
2.7%
Other values (60) 7065
70.7%
ValueCountFrequency (%)
1920 8
 
0.1%
1933 1
 
< 0.1%
1934 7
 
0.1%
1935 3
 
< 0.1%
1936 3
 
< 0.1%
1937 16
 
0.2%
1938 7
 
0.1%
1939 9
 
0.1%
1940 29
0.3%
1941 45
0.4%
ValueCountFrequency (%)
2001 2
 
< 0.1%
2000 5
 
0.1%
1999 5
 
0.1%
1998 11
 
0.1%
1997 31
 
0.3%
1996 29
 
0.3%
1995 42
0.4%
1994 42
0.4%
1993 71
0.7%
1992 89
0.9%

참여고객수
Real number (ℝ)

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6063
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:20:55.055631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum32
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.718079
Coefficient of variation (CV)1.0695879
Kurtosis59.600305
Mean1.6063
Median Absolute Deviation (MAD)0
Skewness6.1494234
Sum16063
Variance2.9517955
MonotonicityNot monotonic
2023-12-12T16:20:55.194689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 7524
75.2%
2 1332
 
13.3%
3 430
 
4.3%
4 241
 
2.4%
5 152
 
1.5%
6 99
 
1.0%
7 61
 
0.6%
8 43
 
0.4%
9 32
 
0.3%
10 22
 
0.2%
Other values (17) 64
 
0.6%
ValueCountFrequency (%)
1 7524
75.2%
2 1332
 
13.3%
3 430
 
4.3%
4 241
 
2.4%
5 152
 
1.5%
6 99
 
1.0%
7 61
 
0.6%
8 43
 
0.4%
9 32
 
0.3%
10 22
 
0.2%
ValueCountFrequency (%)
32 1
 
< 0.1%
31 1
 
< 0.1%
27 2
< 0.1%
26 1
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 4
< 0.1%
19 3
< 0.1%
18 2
< 0.1%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9873 
추석연휴 기간 일일 게임 실적을 통한 프로모션 티켓 지급 행사
 
84
잭팟 당첨고객에게 과세금액 만큼 프로모션티켓을 지급하여 재방문 유도
 
22
행사기간 중 일별 게임실적에 따른 추첨권 지급, 매주 추첨을 통한 시상금 지급 프로모션
 
19
2주간 게임실적을 집계하여 순위별 프로모션 차등 지급 이벤트
 
2

Length

Max length48
Median length4
Mean length4.414
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9873
98.7%
추석연휴 기간 일일 게임 실적을 통한 프로모션 티켓 지급 행사 84
 
0.8%
잭팟 당첨고객에게 과세금액 만큼 프로모션티켓을 지급하여 재방문 유도 22
 
0.2%
행사기간 중 일별 게임실적에 따른 추첨권 지급, 매주 추첨을 통한 시상금 지급 프로모션 19
 
0.2%
2주간 게임실적을 집계하여 순위별 프로모션 차등 지급 이벤트 2
 
< 0.1%

Length

2023-12-12T16:20:55.352699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:55.479244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9873
88.5%
지급 124
 
1.1%
프로모션 105
 
0.9%
통한 103
 
0.9%
기간 84
 
0.8%
일일 84
 
0.8%
게임 84
 
0.8%
실적을 84
 
0.8%
티켓 84
 
0.8%
행사 84
 
0.8%
Other values (24) 443
 
4.0%

Interactions

2023-12-12T16:20:50.361033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:48.654279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:49.145383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:49.903097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:50.488379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:48.774014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:49.571594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:50.027380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:50.586710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:48.879280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:49.693407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:50.129315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:50.689572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:49.019754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:49.801663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:50.238641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:20:55.577557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업점연도이벤트차수국적성별출생연도참여고객수비고
영업점1.0000.2980.3300.4970.0070.1650.1411.000
연도0.2981.0000.7820.3340.0330.1320.106NaN
이벤트차수0.3300.7821.0000.2270.0510.0880.1001.000
국적0.4970.3340.2271.0000.3140.5830.1720.453
성별0.0070.0330.0510.3141.0000.1560.1350.251
출생연도0.1650.1320.0880.5830.1561.0000.0980.000
참여고객수0.1410.1060.1000.1720.1350.0981.0000.000
비고1.000NaN1.0000.4530.2510.0000.0001.000
2023-12-12T16:20:55.734727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고영업점성별
비고1.0000.9920.165
영업점0.9921.0000.012
성별0.1650.0121.000
2023-12-12T16:20:55.837995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도이벤트차수출생연도참여고객수영업점성별비고
연도1.000-0.6050.112-0.0150.2210.0391.000
이벤트차수-0.6051.000-0.0100.0670.2220.0390.992
출생연도0.112-0.0101.0000.0680.0750.1560.000
참여고객수-0.0150.0670.0681.0000.0850.1030.000
영업점0.2210.2220.0750.0851.0000.0120.992
성별0.0390.0390.1560.1030.0121.0000.165
비고1.0000.9920.0000.0000.9920.1651.000

Missing values

2023-12-12T16:20:50.813314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:20:50.966229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

영업점연도이벤트차수이벤트명이벤트기간국적성별출생연도참여고객수비고
12971코엑스2022116JACKPOT TAX PAYBACK(연장)12-09 ~ 12-30중국M19661<NA>
15438롯데2022121부산점 연말 행운권 추첨 이벤트12-20 ~ 12-30일본F19511<NA>
1689롯데2017139부산점 매일 매일 다트가쏜다 이벤트01-01 ~ 03-31러시아M19721<NA>
7900드래곤2019200힐튼점 머신게임 REWARD 행사08-01 ~ 12-31베트남M19901<NA>
28코엑스2017158강남점 설맞이 사은행사(사은품)01-21 ~ 02-28캐나다M19521<NA>
8553드래곤2019232힐튼점 ETG WEEKLY 추첨 행사10-29 ~ 12-17베트남M19884<NA>
8249드래곤2019232힐튼점 ETG WEEKLY 추첨 행사10-29 ~ 12-17중국F19655<NA>
3411코엑스2018166강남점 추석맞이 사은행사(사은품)09-14 ~ 10-31호주M19861<NA>
7416드래곤2019110힐튼점 머신 우량고객 티켓지급 행사02-01 ~ 07-31일본M19631<NA>
7477드래곤2019111힐튼점 TAX PAYBACK 이벤트03-04 ~ 04-07일본M19541<NA>
영업점연도이벤트차수이벤트명이벤트기간국적성별출생연도참여고객수비고
7684드래곤2019158힐튼점 스크래치 복권 이벤트04-15 ~ 05-24몽골M19951<NA>
3354코엑스2018141강남점 VIP Tournament 이벤트06-30 ~ 06-30캐나다M19561<NA>
1235드래곤2017485힐튼점 즉석스크래치복권08-07 ~ 08-31오스트리아M19731<NA>
10667코엑스2020114강남점 Tax Payback(VIP)07-25 ~ 10-02대한민국(영주권자)F19561<NA>
15639롯데202335롯데 전자게임 우수고객(2분기)04-03 ~ 07-01몽골M19701<NA>
4552드래곤2018179힐튼점 송년맞이 사은행사(우수고객)12-03 ~ 12-31중국M19712<NA>
7512드래곤2019111힐튼점 TAX PAYBACK 이벤트03-04 ~ 04-07미국M19871<NA>
7930드래곤2019201힐튼점 Daily 추첨 이벤트08-05 ~ 08-29중국M197014<NA>
9114롯데201944부산점 매일매일 게임 업01-01 ~ 03-31네팔M19831<NA>
15493롯데202321부산점 1분기 Jackpot Reward01-09 ~ 03-31중국M19721<NA>