Overview

Dataset statistics

Number of variables8
Number of observations130
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory67.0 B

Variable types

Numeric1
Categorical4
Text2
DateTime1

Dataset

Description인천광역시 남동구 문화유통업 행정처분 내역에 대한 데이터로 연번, 대상연도, 업체명, 업종명, 처분확정일자, 처분사항, 업체소재지(도로명), 데이터기준일 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087631&srcSe=7661IVAWM27C61E190

Alerts

데이터 기준 일자 has constant value ""Constant
연번 is highly overall correlated with 대상연도High correlation
대상연도 is highly overall correlated with 연번High correlation
업종명 is highly overall correlated with 처분사항High correlation
처분사항 is highly overall correlated with 업종명High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:58:13.105802
Analysis finished2024-03-18 05:58:16.155536
Duration3.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.5
Minimum1
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-18T14:58:16.250549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.45
Q133.25
median65.5
Q397.75
95-th percentile123.55
Maximum130
Range129
Interquartile range (IQR)64.5

Descriptive statistics

Standard deviation37.671829
Coefficient of variation (CV)0.57514242
Kurtosis-1.2
Mean65.5
Median Absolute Deviation (MAD)32.5
Skewness0
Sum8515
Variance1419.1667
MonotonicityStrictly increasing
2024-03-18T14:58:16.394480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
99 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
Other values (120) 120
92.3%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%

대상연도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2022
85 
2023
45 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 85
65.4%
2023 45
34.6%

Length

2024-03-18T14:58:16.538912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:58:16.651494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 85
65.4%
2023 45
34.6%

업체명
Text

Distinct106
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-18T14:58:16.923263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12
Mean length7.2384615
Min length3

Characters and Unicode

Total characters941
Distinct characters203
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)65.4%

Sample

1st row크레인 마켓(구월점)
2nd row히트노래연습장
3rd row명품 노래연습장
4th row큰나루노래연습장
5th row카스 노래연습장
ValueCountFrequency (%)
노래연습장 52
24.2%
pc 16
 
7.4%
골드 3
 
1.4%
태양게임랜드 3
 
1.4%
게임랜드 3
 
1.4%
가나게임랜드 3
 
1.4%
명품 3
 
1.4%
스마일 2
 
0.9%
카카오 2
 
0.9%
휴 2
 
0.9%
Other values (110) 126
58.6%
2024-03-18T14:58:17.387228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
9.0%
장 75
 
8.0%
노 74
 
7.9%
래 72
 
7.7%
연 71
 
7.5%
습 70
 
7.4%
P 31
 
3.3%
C 31
 
3.3%
드 16
 
1.7%
임 15
 
1.6%
Other values (193) 401
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 754
80.1%
Space Separator 85
 
9.0%
Uppercase Letter 75
 
8.0%
Lowercase Letter 12
 
1.3%
Decimal Number 5
 
0.5%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 75
 
9.9%
노 74
 
9.8%
래 72
 
9.5%
연 71
 
9.4%
습 70
 
9.3%
드 16
 
2.1%
임 15
 
2.0%
게 15
 
2.0%
스 13
 
1.7%
랜 11
 
1.5%
Other values (163) 322
42.7%
Uppercase Letter
ValueCountFrequency (%)
P 31
41.3%
C 31
41.3%
J 2
 
2.7%
O 2
 
2.7%
M 2
 
2.7%
F 1
 
1.3%
E 1
 
1.3%
N 1
 
1.3%
K 1
 
1.3%
I 1
 
1.3%
Other values (2) 2
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
n 2
16.7%
i 2
16.7%
h 2
16.7%
g 1
8.3%
c 1
8.3%
p 1
8.3%
d 1
8.3%
e 1
8.3%
o 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
0 1
20.0%
3 1
20.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 754
80.1%
Common 100
 
10.6%
Latin 87
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 75
 
9.9%
노 74
 
9.8%
래 72
 
9.5%
연 71
 
9.4%
습 70
 
9.3%
드 16
 
2.1%
임 15
 
2.0%
게 15
 
2.0%
스 13
 
1.7%
랜 11
 
1.5%
Other values (163) 322
42.7%
Latin
ValueCountFrequency (%)
P 31
35.6%
C 31
35.6%
J 2
 
2.3%
n 2
 
2.3%
i 2
 
2.3%
O 2
 
2.3%
h 2
 
2.3%
M 2
 
2.3%
F 1
 
1.1%
E 1
 
1.1%
Other values (11) 11
 
12.6%
Common
ValueCountFrequency (%)
85
85.0%
) 4
 
4.0%
( 4
 
4.0%
2 2
 
2.0%
- 1
 
1.0%
# 1
 
1.0%
0 1
 
1.0%
3 1
 
1.0%
1 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 754
80.1%
ASCII 187
 
19.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
45.5%
P 31
 
16.6%
C 31
 
16.6%
) 4
 
2.1%
( 4
 
2.1%
J 2
 
1.1%
n 2
 
1.1%
i 2
 
1.1%
2 2
 
1.1%
O 2
 
1.1%
Other values (20) 22
 
11.8%
Hangul
ValueCountFrequency (%)
장 75
 
9.9%
노 74
 
9.8%
래 72
 
9.5%
연 71
 
9.4%
습 70
 
9.3%
드 16
 
2.1%
임 15
 
2.0%
게 15
 
2.0%
스 13
 
1.7%
랜 11
 
1.5%
Other values (163) 322
42.7%

업종명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
노래연습장업
70 
인터넷컴퓨터게임시설제공업
31 
일반게임제공업
15 
청소년게임제공업
14 

Length

Max length13
Median length6
Mean length8
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row청소년게임제공업
2nd row노래연습장업
3rd row노래연습장업
4th row노래연습장업
5th row노래연습장업

Common Values

ValueCountFrequency (%)
노래연습장업 70
53.8%
인터넷컴퓨터게임시설제공업 31
23.8%
일반게임제공업 15
 
11.5%
청소년게임제공업 14
 
10.8%

Length

2024-03-18T14:58:17.544704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:58:17.667056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 70
53.8%
인터넷컴퓨터게임시설제공업 31
23.8%
일반게임제공업 15
 
11.5%
청소년게임제공업 14
 
10.8%

처분확정일자
Date

Distinct74
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2022-05-11 00:00:00
Maximum2023-05-10 00:00:00
2024-03-18T14:58:17.830080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:58:17.969828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

처분사항
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
경고
37 
영업정지 10일
25 
과징금 50만원
22 
영업정지 40일
9 
영업정지 30일
7 
Other values (19)
30 

Length

Max length12
Median length8
Mean length6.0538462
Min length2

Unique

Unique15 ?
Unique (%)11.5%

Sample

1st row영업정지30일
2nd row영업정지 10일
3rd row영업정지 10일
4th row과징금 50만원
5th row영업정지 10일

Common Values

ValueCountFrequency (%)
경고 37
28.5%
영업정지 10일 25
19.2%
과징금 50만원 22
16.9%
영업정지 40일 9
 
6.9%
영업정지 30일 7
 
5.4%
영업정지30일 6
 
4.6%
직권말소 5
 
3.8%
영업정지 2
 
1.5%
영업정지 15일 2
 
1.5%
허가취소 1
 
0.8%
Other values (14) 14
 
10.8%

Length

2024-03-18T14:58:18.170108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영업정지 50
24.2%
경고 37
17.9%
과징금 29
14.0%
10일 25
12.1%
50만원 22
10.6%
40일 9
 
4.3%
30일 7
 
3.4%
영업정지30일 6
 
2.9%
직권말소 5
 
2.4%
15일 2
 
1.0%
Other values (15) 15
 
7.2%

업체소재지(도로명)
Text

Distinct112
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-18T14:58:18.519780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length30.846154
Min length21

Characters and Unicode

Total characters4010
Distinct characters147
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

Unique96 ?
Unique (%)73.8%

Sample

1st row인천광역시 남동구 선수촌공원로23번길 10-21 누리자타운 121호 (구월동)
2nd row인천광역시 남동구 석산로 15 지층 (간석동)
3rd row인천광역시 남동구 백범로 165 (만수동(2층))
4th row인천광역시 남동구 문화서로4번길 61-23 (구월동)
5th row인천광역시 남동구 백범로169번길 17 (만수동2층)
ValueCountFrequency (%)
인천광역시 130
 
16.6%
남동구 130
 
16.6%
간석동 28
 
3.6%
구월동 24
 
3.1%
1층 21
 
2.7%
논현동 15
 
1.9%
구월로 14
 
1.8%
만수동 13
 
1.7%
2층 12
 
1.5%
호구포로 7
 
0.9%
Other values (245) 389
49.7%
2024-03-18T14:58:19.062947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
653
 
16.3%
동 286
 
7.1%
구 192
 
4.8%
남 168
 
4.2%
) 158
 
3.9%
( 158
 
3.9%
1 153
 
3.8%
인 139
 
3.5%
역 134
 
3.3%
광 132
 
3.3%
Other values (137) 1837
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2370
59.1%
Space Separator 653
 
16.3%
Decimal Number 642
 
16.0%
Close Punctuation 158
 
3.9%
Open Punctuation 158
 
3.9%
Dash Punctuation 14
 
0.3%
Uppercase Letter 14
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 286
 
12.1%
구 192
 
8.1%
남 168
 
7.1%
인 139
 
5.9%
역 134
 
5.7%
광 132
 
5.6%
시 131
 
5.5%
천 131
 
5.5%
로 131
 
5.5%
층 87
 
3.7%
Other values (113) 839
35.4%
Decimal Number
ValueCountFrequency (%)
1 153
23.8%
2 122
19.0%
3 63
9.8%
6 62
9.7%
9 48
 
7.5%
0 46
 
7.2%
7 38
 
5.9%
5 37
 
5.8%
8 37
 
5.8%
4 36
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 4
28.6%
L 2
14.3%
S 2
14.3%
T 1
 
7.1%
H 1
 
7.1%
E 1
 
7.1%
C 1
 
7.1%
P 1
 
7.1%
Z 1
 
7.1%
Space Separator
ValueCountFrequency (%)
653
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2370
59.1%
Common 1626
40.5%
Latin 14
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 286
 
12.1%
구 192
 
8.1%
남 168
 
7.1%
인 139
 
5.9%
역 134
 
5.7%
광 132
 
5.6%
시 131
 
5.5%
천 131
 
5.5%
로 131
 
5.5%
층 87
 
3.7%
Other values (113) 839
35.4%
Common
ValueCountFrequency (%)
653
40.2%
) 158
 
9.7%
( 158
 
9.7%
1 153
 
9.4%
2 122
 
7.5%
3 63
 
3.9%
6 62
 
3.8%
9 48
 
3.0%
0 46
 
2.8%
7 38
 
2.3%
Other values (5) 125
 
7.7%
Latin
ValueCountFrequency (%)
A 4
28.6%
L 2
14.3%
S 2
14.3%
T 1
 
7.1%
H 1
 
7.1%
E 1
 
7.1%
C 1
 
7.1%
P 1
 
7.1%
Z 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2370
59.1%
ASCII 1640
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
653
39.8%
) 158
 
9.6%
( 158
 
9.6%
1 153
 
9.3%
2 122
 
7.4%
3 63
 
3.8%
6 62
 
3.8%
9 48
 
2.9%
0 46
 
2.8%
7 38
 
2.3%
Other values (14) 139
 
8.5%
Hangul
ValueCountFrequency (%)
동 286
 
12.1%
구 192
 
8.1%
남 168
 
7.1%
인 139
 
5.9%
역 134
 
5.7%
광 132
 
5.6%
시 131
 
5.5%
천 131
 
5.5%
로 131
 
5.5%
층 87
 
3.7%
Other values (113) 839
35.4%

데이터 기준 일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-05-18
130 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-18
2nd row2023-05-18
3rd row2023-05-18
4th row2023-05-18
5th row2023-05-18

Common Values

ValueCountFrequency (%)
2023-05-18 130
100.0%

Length

2024-03-18T14:58:19.215605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:58:19.325824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-18 130
100.0%

Interactions

2024-03-18T14:58:15.722881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:58:19.395080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대상연도업종명처분확정일자처분사항
연번1.0000.9950.6130.9960.598
대상연도0.9951.0000.3671.0000.562
업종명0.6130.3671.0000.9510.956
처분확정일자0.9961.0000.9511.0000.962
처분사항0.5980.5620.9560.9621.000
2024-03-18T14:58:19.525981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분사항업종명대상연도
처분사항1.0000.6980.407
업종명0.6981.0000.243
대상연도0.4070.2431.000
2024-03-18T14:58:19.636798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대상연도업종명처분사항
연번1.0000.9090.4050.247
대상연도0.9091.0000.2430.407
업종명0.4050.2431.0000.698
처분사항0.2470.4070.6981.000

Missing values

2024-03-18T14:58:15.927426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:58:16.085403image/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

연번대상연도업체명업종명처분확정일자처분사항업체소재지(도로명)데이터 기준 일자
012022크레인 마켓(구월점)청소년게임제공업2022-05-11영업정지30일인천광역시 남동구 선수촌공원로23번길 10-21 누리자타운 121호 (구월동)2023-05-18
122022히트노래연습장노래연습장업2022-05-12영업정지 10일인천광역시 남동구 석산로 15 지층 (간석동)2023-05-18
232022명품 노래연습장노래연습장업2022-05-16영업정지 10일인천광역시 남동구 백범로 165 (만수동(2층))2023-05-18
342022큰나루노래연습장노래연습장업2022-06-07과징금 50만원인천광역시 남동구 문화서로4번길 61-23 (구월동)2023-05-18
452022카스 노래연습장노래연습장업2022-06-07영업정지 10일인천광역시 남동구 백범로169번길 17 (만수동2층)2023-05-18
562022쎄븐 노래연습장노래연습장업2022-06-07영업정지 40일인천광역시 남동구 담방로 62 (만수동지하층)2023-05-18
672022허벌난노래연습장노래연습장업2022-06-07과징금 50만원인천광역시 남동구 문화서로18번길 45 (구월동)2023-05-18
782022광장게임타운일반게임제공업2022-06-14경고인천광역시 남동구 백범로 353 2층 (간석동)2023-05-18
892022BM 노래연습장노래연습장업2022-06-17과징금150만원인천광역시 남동구 구월로 268 (구월동지하1층)2023-05-18
9102022원조30년전통맛집청소년게임제공업2022-06-21영업정지30일인천광역시 남동구 벽돌말로 5 1층 (간석동)2023-05-18
연번대상연도업체명업종명처분확정일자처분사항업체소재지(도로명)데이터 기준 일자
1201212023휴 노래연습장노래연습장업2023-04-24과징금 50만원인천광역시 남동구 구월로 221 (구월동(지층))2023-05-18
1211222023오다가다 PC인터넷컴퓨터게임시설제공업2023-04-26영업정지 180일인천광역시 남동구 남동대로 924 1층 7호 (간석동)2023-05-18
1221232023명품 노래연습장노래연습장업2023-04-27영업정지 15일인천광역시 남동구 구월로 281 (만수동)2023-05-18
1231242023OK 노래연습장노래연습장업2023-04-27과징금 50만원인천광역시 남동구 장승남로 63 (만수동(3층))2023-05-18
1241252023미래노래연습장노래연습장업2023-04-28과징금 50만원인천광역시 남동구 장승남로 62 (만수동(지층))2023-05-18
1251262023남촌노래연습장노래연습장업2023-04-28영업정지 10일인천광역시 남동구 남촌로122번길 3 (남촌동(지층))2023-05-18
1261272023VIP 노래연습장노래연습장업2023-05-01영업정지 10일인천광역시 남동구 남촌동로25번길 7 (남촌동(2층))2023-05-18
1271282023에쿠스 노래연습장노래연습장업2023-05-03영업정지 10일인천광역시 남동구 석정로 505 (간석동(지))2023-05-18
1281292023태양게임랜드일반게임제공업2023-05-10경고인천광역시 남동구 남동대로 923 2층 (간석동)2023-05-18
1291302023태양게임랜드일반게임제공업2023-05-10과징금 900만원인천광역시 남동구 남동대로 923 2층 (간석동)2023-05-18