Overview

Dataset statistics

Number of variables53
Number of observations10000
Missing cells204957
Missing cells (%)38.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 MiB
Average record size in memory468.0 B

Variable types

Numeric27
Categorical17
Text8
Unsupported1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-13663/S/1/datasetView.do

Alerts

년도 has constant value ""Constant
모범음식점여부 has constant value ""Constant
지하_부터 is highly imbalanced (81.6%)Imbalance
지하_까지 is highly imbalanced (81.7%)Imbalance
급수시설 is highly imbalanced (59.6%)Imbalance
종업원남 is highly imbalanced (99.6%)Imbalance
종업원여 is highly imbalanced (99.7%)Imbalance
급식소종류 is highly imbalanced (99.1%)Imbalance
운영형태 is highly imbalanced (97.0%)Imbalance
영업장무도장면적(㎡) is highly imbalanced (73.6%)Imbalance
영업장탈의실면적(㎡) is highly imbalanced (73.7%)Imbalance
검사실면적(㎡) is highly imbalanced (79.0%)Imbalance
내외국인구분 is highly imbalanced (90.7%)Imbalance
국적 is highly imbalanced (96.9%)Imbalance
영업장면적(㎡) has 9159 (91.6%) missing valuesMissing
법인명 has 6825 (68.2%) missing valuesMissing
법인번호 has 6825 (68.2%) missing valuesMissing
폐업일자 has 5853 (58.5%) missing valuesMissing
폐업사유 has 7389 (73.9%) missing valuesMissing
지상_부터 has 7855 (78.5%) missing valuesMissing
지상_까지 has 7923 (79.2%) missing valuesMissing
총층수 has 9207 (92.1%) missing valuesMissing
교육수료일자 has 10000 (100.0%) missing valuesMissing
평균급식인원수 has 9920 (99.2%) missing valuesMissing
최대급식인원수 has 9920 (99.2%) missing valuesMissing
1일급식인원수 has 9921 (99.2%) missing valuesMissing
일인당평균급식비 has 9920 (99.2%) missing valuesMissing
영업장조리장면적(㎡) has 7556 (75.6%) missing valuesMissing
영업장객실면적(㎡) has 9348 (93.5%) missing valuesMissing
영업장기타면적(㎡) has 6482 (64.8%) missing valuesMissing
업소내화장실면적(㎡) has 8980 (89.8%) missing valuesMissing
타업소공동화장실면적(㎡) has 9050 (90.5%) missing valuesMissing
영업장객석면적(㎡) has 8549 (85.5%) missing valuesMissing
작업장면적(㎡) has 8681 (86.8%) missing valuesMissing
진열(판매)대면적(㎡) has 9553 (95.5%) missing valuesMissing
창고(보관소)면적(㎡) has 9553 (95.5%) missing valuesMissing
조건부허가시작일 has 8244 (82.4%) missing valuesMissing
조건부허가종료일 has 8244 (82.4%) missing valuesMissing
허가신고일 is highly skewed (γ1 = -97.04715404)Skewed
소재지시작일 is highly skewed (γ1 = -32.29569529)Skewed
작업장면적(㎡) is highly skewed (γ1 = 36.2490228)Skewed
교육수료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장조리장면적(㎡) has 241 (2.4%) zerosZeros
영업장객실면적(㎡) has 442 (4.4%) zerosZeros
영업장기타면적(㎡) has 517 (5.2%) zerosZeros
업소내화장실면적(㎡) has 830 (8.3%) zerosZeros
타업소공동화장실면적(㎡) has 850 (8.5%) zerosZeros
영업장객석면적(㎡) has 322 (3.2%) zerosZeros
작업장면적(㎡) has 267 (2.7%) zerosZeros
진열(판매)대면적(㎡) has 324 (3.2%) zerosZeros
창고(보관소)면적(㎡) has 397 (4.0%) zerosZeros

Reproduction

Analysis started2024-05-11 05:49:48.333417
Analysis finished2024-05-11 05:49:53.196150
Duration4.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Real number (ℝ)

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3141586
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:49:53.320589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13080000
median3150000
Q33210000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation73027.926
Coefficient of variation (CV)0.02324556
Kurtosis-1.113916
Mean3141586
Median Absolute Deviation (MAD)60000
Skewness-0.38882108
Sum3.141586 × 1010
Variance5.3330779 × 109
MonotonicityNot monotonic
2024-05-11T14:49:53.574872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 1079
 
10.8%
3230000 781
 
7.8%
3180000 649
 
6.5%
3150000 620
 
6.2%
3130000 584
 
5.8%
3210000 583
 
5.8%
3240000 434
 
4.3%
3200000 397
 
4.0%
3030000 351
 
3.5%
3160000 328
 
3.3%
Other values (15) 4194
41.9%
ValueCountFrequency (%)
3000000 236
2.4%
3010000 322
3.2%
3020000 278
2.8%
3030000 351
3.5%
3040000 316
3.2%
3050000 290
2.9%
3060000 249
2.5%
3070000 305
3.0%
3080000 311
3.1%
3090000 186
1.9%
ValueCountFrequency (%)
3240000 434
4.3%
3230000 781
7.8%
3220000 1079
10.8%
3210000 583
5.8%
3200000 397
 
4.0%
3190000 245
 
2.5%
3180000 649
6.5%
3170000 234
 
2.3%
3160000 328
 
3.3%
3150000 620
6.2%

업종코드
Real number (ℝ)

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.0652
Minimum101
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:49:53.804025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1101
median107
Q3113
95-th percentile134
Maximum135
Range34
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.510508
Coefficient of variation (CV)0.11264111
Kurtosis-0.4334817
Mean111.0652
Median Absolute Deviation (MAD)6
Skewness1.12888
Sum1110652
Variance156.5128
MonotonicityNot monotonic
2024-05-11T14:49:54.041853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
101 3044
30.4%
107 2505
25.1%
134 1975
19.8%
104 1413
14.1%
113 348
 
3.5%
135 135
 
1.4%
121 132
 
1.3%
112 125
 
1.2%
105 84
 
0.8%
109 83
 
0.8%
Other values (10) 156
 
1.6%
ValueCountFrequency (%)
101 3044
30.4%
102 5
 
0.1%
103 3
 
< 0.1%
104 1413
14.1%
105 84
 
0.8%
106 23
 
0.2%
107 2505
25.1%
108 1
 
< 0.1%
109 83
 
0.8%
112 125
 
1.2%
ValueCountFrequency (%)
135 135
 
1.4%
134 1975
19.8%
122 20
 
0.2%
121 132
 
1.3%
120 80
 
0.8%
118 4
 
< 0.1%
117 8
 
0.1%
116 1
 
< 0.1%
114 11
 
0.1%
113 348
 
3.5%

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 10000
100.0%

Length

2024-05-11T14:49:54.262303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:49:54.415808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 10000
100.0%

업소일련번호
Real number (ℝ)

Distinct456
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.7384
Minimum1
Maximum1577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:49:54.557679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q121
median55
Q3106
95-th percentile246
Maximum1577
Range1576
Interquartile range (IQR)85

Descriptive statistics

Standard deviation88.813483
Coefficient of variation (CV)1.1138107
Kurtosis28.700746
Mean79.7384
Median Absolute Deviation (MAD)39
Skewness3.50993
Sum797384
Variance7887.8347
MonotonicityNot monotonic
2024-05-11T14:49:54.843495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 269
 
2.7%
2 215
 
2.1%
3 179
 
1.8%
4 167
 
1.7%
5 143
 
1.4%
6 131
 
1.3%
7 117
 
1.2%
8 116
 
1.2%
10 107
 
1.1%
11 105
 
1.1%
Other values (446) 8451
84.5%
ValueCountFrequency (%)
1 269
2.7%
2 215
2.1%
3 179
1.8%
4 167
1.7%
5 143
1.4%
6 131
1.3%
7 117
1.2%
8 116
1.2%
9 105
 
1.1%
10 107
 
1.1%
ValueCountFrequency (%)
1577 1
< 0.1%
1576 1
< 0.1%
923 1
< 0.1%
908 1
< 0.1%
907 1
< 0.1%
906 1
< 0.1%
863 1
< 0.1%
833 1
< 0.1%
831 1
< 0.1%
830 1
< 0.1%

업종명
Categorical

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
3044 
즉석판매제조가공업
2505 
건강기능식품일반판매업
1975 
휴게음식점
1413 
유통전문판매업
348 
Other values (15)
715 

Length

Max length13
Median length11
Mean length7.4418
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row휴게음식점
2nd row일반음식점
3rd row일반음식점
4th row휴게음식점
5th row건강기능식품일반판매업

Common Values

ValueCountFrequency (%)
일반음식점 3044
30.4%
즉석판매제조가공업 2505
25.1%
건강기능식품일반판매업 1975
19.8%
휴게음식점 1413
14.1%
유통전문판매업 348
 
3.5%
건강기능식품유통전문판매업 135
 
1.4%
제과점영업 132
 
1.3%
식품자동판매기영업 125
 
1.2%
집단급식소 84
 
0.8%
식품소분업 83
 
0.8%
Other values (10) 156
 
1.6%

Length

2024-05-11T14:49:55.130992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 3044
30.4%
즉석판매제조가공업 2505
25.1%
건강기능식품일반판매업 1975
19.8%
휴게음식점 1413
14.1%
유통전문판매업 348
 
3.5%
건강기능식품유통전문판매업 135
 
1.4%
제과점영업 132
 
1.3%
식품자동판매기영업 125
 
1.2%
집단급식소 84
 
0.8%
식품소분업 83
 
0.8%
Other values (10) 156
 
1.6%

허가신고일
Real number (ℝ)

SKEWED 

Distinct92
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210215
Minimum19980325
Maximum20210415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:49:55.370679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980325
5-th percentile20210106
Q120210127
median20210224
Q320210322
95-th percentile20210409
Maximum20210415
Range230090
Interquartile range (IQR)195

Descriptive statistics

Standard deviation2323.0689
Coefficient of variation (CV)0.00011494529
Kurtosis9594.6929
Mean20210215
Median Absolute Deviation (MAD)97
Skewness-97.047154
Sum2.0210215 × 1011
Variance5396649.3
MonotonicityNot monotonic
2024-05-11T14:49:55.633200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210302 234
 
2.3%
20210104 225
 
2.2%
20210222 196
 
2.0%
20210315 188
 
1.9%
20210329 181
 
1.8%
20210405 180
 
1.8%
20210223 173
 
1.7%
20210215 172
 
1.7%
20210303 166
 
1.7%
20210331 164
 
1.6%
Other values (82) 8121
81.2%
ValueCountFrequency (%)
19980325 1
 
< 0.1%
20190426 1
 
< 0.1%
20200108 1
 
< 0.1%
20200309 1
 
< 0.1%
20201026 1
 
< 0.1%
20201228 1
 
< 0.1%
20201230 1
 
< 0.1%
20201231 2
 
< 0.1%
20210102 5
 
0.1%
20210104 225
2.2%
ValueCountFrequency (%)
20210415 28
 
0.3%
20210414 132
1.3%
20210413 126
1.3%
20210412 125
1.2%
20210409 118
1.2%
20210408 135
1.4%
20210407 120
1.2%
20210406 144
1.4%
20210405 180
1.8%
20210402 129
1.3%
Distinct8458
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:49:56.053827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length35
Mean length7.8301
Min length1

Characters and Unicode

Total characters78301
Distinct characters1114
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7760 ?
Unique (%)77.6%

Sample

1st row커피카사(coffee-kasa)
2nd row내가베이크
3rd rowBHC 미아뉴타운점
4th row(주)쿠킹프리
5th row빼뽀네
ValueCountFrequency (%)
주식회사 596
 
4.1%
한시적영업 128
 
0.9%
세븐일레븐 74
 
0.5%
씨유 62
 
0.4%
카페 49
 
0.3%
gs25 45
 
0.3%
월드푸드 42
 
0.3%
명류당티에프 38
 
0.3%
coffee 33
 
0.2%
커피 31
 
0.2%
Other values (9729) 13351
92.4%
2024-05-11T14:49:56.837565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4454
 
5.7%
) 2111
 
2.7%
( 2100
 
2.7%
2031
 
2.6%
1909
 
2.4%
1854
 
2.4%
1730
 
2.2%
1185
 
1.5%
1046
 
1.3%
1038
 
1.3%
Other values (1104) 58843
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61728
78.8%
Space Separator 4454
 
5.7%
Lowercase Letter 3364
 
4.3%
Uppercase Letter 3140
 
4.0%
Close Punctuation 2112
 
2.7%
Open Punctuation 2101
 
2.7%
Decimal Number 1039
 
1.3%
Other Punctuation 253
 
0.3%
Dash Punctuation 89
 
0.1%
Math Symbol 7
 
< 0.1%
Other values (5) 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2031
 
3.3%
1909
 
3.1%
1854
 
3.0%
1730
 
2.8%
1185
 
1.9%
1046
 
1.7%
1038
 
1.7%
936
 
1.5%
817
 
1.3%
805
 
1.3%
Other values (1014) 48377
78.4%
Lowercase Letter
ValueCountFrequency (%)
e 506
15.0%
a 324
 
9.6%
o 308
 
9.2%
n 205
 
6.1%
i 193
 
5.7%
r 188
 
5.6%
l 185
 
5.5%
t 173
 
5.1%
s 164
 
4.9%
c 137
 
4.1%
Other values (16) 981
29.2%
Uppercase Letter
ValueCountFrequency (%)
E 266
 
8.5%
S 259
 
8.2%
O 222
 
7.1%
A 207
 
6.6%
C 196
 
6.2%
N 161
 
5.1%
G 161
 
5.1%
T 156
 
5.0%
B 154
 
4.9%
R 152
 
4.8%
Other values (16) 1206
38.4%
Other Punctuation
ValueCountFrequency (%)
& 126
49.8%
. 44
 
17.4%
, 26
 
10.3%
' 22
 
8.7%
15
 
5.9%
: 5
 
2.0%
/ 4
 
1.6%
· 4
 
1.6%
? 3
 
1.2%
# 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 262
25.2%
5 172
16.6%
1 139
13.4%
4 91
 
8.8%
9 78
 
7.5%
3 73
 
7.0%
0 65
 
6.3%
8 61
 
5.9%
7 58
 
5.6%
6 40
 
3.8%
Math Symbol
ValueCountFrequency (%)
> 2
28.6%
< 2
28.6%
~ 2
28.6%
× 1
14.3%
Close Punctuation
ValueCountFrequency (%)
) 2111
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2100
> 99.9%
[ 1
 
< 0.1%
Control
ValueCountFrequency (%)
2
50.0%
2
50.0%
Other Symbol
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
4454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61708
78.8%
Common 10067
 
12.9%
Latin 6504
 
8.3%
Han 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2031
 
3.3%
1909
 
3.1%
1854
 
3.0%
1730
 
2.8%
1185
 
1.9%
1046
 
1.7%
1038
 
1.7%
936
 
1.5%
817
 
1.3%
805
 
1.3%
Other values (996) 48357
78.4%
Latin
ValueCountFrequency (%)
e 506
 
7.8%
a 324
 
5.0%
o 308
 
4.7%
E 266
 
4.1%
S 259
 
4.0%
O 222
 
3.4%
A 207
 
3.2%
n 205
 
3.2%
C 196
 
3.0%
i 193
 
3.0%
Other values (42) 3818
58.7%
Common
ValueCountFrequency (%)
4454
44.2%
) 2111
21.0%
( 2100
20.9%
2 262
 
2.6%
5 172
 
1.7%
1 139
 
1.4%
& 126
 
1.3%
4 91
 
0.9%
- 89
 
0.9%
9 78
 
0.8%
Other values (27) 445
 
4.4%
Han
ValueCountFrequency (%)
2
 
9.1%
2
 
9.1%
2
 
9.1%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
Other values (9) 9
40.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61701
78.8%
ASCII 16549
 
21.1%
None 23
 
< 0.1%
CJK 20
 
< 0.1%
Compat Jamo 5
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4454
26.9%
) 2111
 
12.8%
( 2100
 
12.7%
e 506
 
3.1%
a 324
 
2.0%
o 308
 
1.9%
E 266
 
1.6%
2 262
 
1.6%
S 259
 
1.6%
O 222
 
1.3%
Other values (74) 5737
34.7%
Hangul
ValueCountFrequency (%)
2031
 
3.3%
1909
 
3.1%
1854
 
3.0%
1730
 
2.8%
1185
 
1.9%
1046
 
1.7%
1038
 
1.7%
936
 
1.5%
817
 
1.3%
805
 
1.3%
Other values (992) 48350
78.4%
None
ValueCountFrequency (%)
15
65.2%
· 4
 
17.4%
2
 
8.7%
² 1
 
4.3%
× 1
 
4.3%
Compat Jamo
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
CJK
ValueCountFrequency (%)
2
 
10.0%
2
 
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (8) 8
40.0%
CJK Compat Ideographs
ValueCountFrequency (%)
2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct8383
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:49:57.511545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length59
Mean length36.7893
Min length4

Characters and Unicode

Total characters367893
Distinct characters664
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7830 ?
Unique (%)78.3%

Sample

1st row서울특별시 금천구 남부순환로128길 72, 1층 102호 (독산동)
2nd row서울특별시 용산구 후암로28길 60, 지1층 (후암동)
3rd row서울특별시 강북구 도봉로13길 55, 충영빌딩 (미아동)
4th row서울특별시 서초구 청계산로 10, (주)농업유통 하나로마트 (양재동)
5th row서울특별시 강남구 삼성로76길 23-6, 501호 (대치동)
ValueCountFrequency (%)
서울특별시 9999
 
14.0%
1층 3541
 
4.9%
지하1층 1578
 
2.2%
강남구 1079
 
1.5%
송파구 781
 
1.1%
2층 733
 
1.0%
영등포구 649
 
0.9%
강서구 620
 
0.9%
마포구 584
 
0.8%
서초구 584
 
0.8%
Other values (10112) 51448
71.9%
2024-05-11T14:49:58.521924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61648
 
16.8%
1 18452
 
5.0%
13597
 
3.7%
12618
 
3.4%
, 12326
 
3.4%
10862
 
3.0%
10859
 
3.0%
10523
 
2.9%
10249
 
2.8%
) 10127
 
2.8%
Other values (654) 196632
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211671
57.5%
Space Separator 61648
 
16.8%
Decimal Number 58626
 
15.9%
Other Punctuation 12352
 
3.4%
Close Punctuation 10127
 
2.8%
Open Punctuation 10127
 
2.8%
Uppercase Letter 1556
 
0.4%
Dash Punctuation 1509
 
0.4%
Lowercase Letter 167
 
< 0.1%
Math Symbol 70
 
< 0.1%
Other values (4) 40
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13597
 
6.4%
12618
 
6.0%
10862
 
5.1%
10859
 
5.1%
10523
 
5.0%
10249
 
4.8%
10004
 
4.7%
10003
 
4.7%
8147
 
3.8%
5182
 
2.4%
Other values (580) 109627
51.8%
Uppercase Letter
ValueCountFrequency (%)
B 407
26.2%
A 174
11.2%
C 149
 
9.6%
S 101
 
6.5%
G 82
 
5.3%
N 71
 
4.6%
E 70
 
4.5%
T 64
 
4.1%
R 55
 
3.5%
K 53
 
3.4%
Other values (15) 330
21.2%
Lowercase Letter
ValueCountFrequency (%)
e 32
19.2%
b 18
10.8%
a 18
10.8%
s 15
9.0%
n 14
8.4%
c 13
7.8%
r 9
 
5.4%
i 8
 
4.8%
o 7
 
4.2%
g 7
 
4.2%
Other values (10) 26
15.6%
Decimal Number
ValueCountFrequency (%)
1 18452
31.5%
2 8569
14.6%
0 6303
 
10.8%
3 5696
 
9.7%
4 4146
 
7.1%
5 3921
 
6.7%
6 3616
 
6.2%
7 2921
 
5.0%
8 2624
 
4.5%
9 2378
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 12326
99.8%
. 15
 
0.1%
& 6
 
< 0.1%
/ 4
 
< 0.1%
: 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
18
62.1%
7
 
24.1%
3
 
10.3%
1
 
3.4%
Math Symbol
ValueCountFrequency (%)
~ 69
98.6%
+ 1
 
1.4%
Control
ValueCountFrequency (%)
2
50.0%
2
50.0%
Space Separator
ValueCountFrequency (%)
61648
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1509
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211672
57.5%
Common 154464
42.0%
Latin 1752
 
0.5%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13597
 
6.4%
12618
 
6.0%
10862
 
5.1%
10859
 
5.1%
10523
 
5.0%
10249
 
4.8%
10004
 
4.7%
10003
 
4.7%
8147
 
3.8%
5182
 
2.4%
Other values (576) 109628
51.8%
Latin
ValueCountFrequency (%)
B 407
23.2%
A 174
 
9.9%
C 149
 
8.5%
S 101
 
5.8%
G 82
 
4.7%
N 71
 
4.1%
E 70
 
4.0%
T 64
 
3.7%
R 55
 
3.1%
K 53
 
3.0%
Other values (39) 526
30.0%
Common
ValueCountFrequency (%)
61648
39.9%
1 18452
 
11.9%
, 12326
 
8.0%
) 10127
 
6.6%
( 10127
 
6.6%
2 8569
 
5.5%
0 6303
 
4.1%
3 5696
 
3.7%
4 4146
 
2.7%
5 3921
 
2.5%
Other values (14) 13149
 
8.5%
Han
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211666
57.5%
ASCII 156187
42.5%
Number Forms 29
 
< 0.1%
None 6
 
< 0.1%
CJK 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61648
39.5%
1 18452
 
11.8%
, 12326
 
7.9%
) 10127
 
6.5%
( 10127
 
6.5%
2 8569
 
5.5%
0 6303
 
4.0%
3 5696
 
3.6%
4 4146
 
2.7%
5 3921
 
2.5%
Other values (59) 14872
 
9.5%
Hangul
ValueCountFrequency (%)
13597
 
6.4%
12618
 
6.0%
10862
 
5.1%
10859
 
5.1%
10523
 
5.0%
10249
 
4.8%
10004
 
4.7%
10003
 
4.7%
8147
 
3.8%
5182
 
2.4%
Other values (575) 109622
51.8%
Number Forms
ValueCountFrequency (%)
18
62.1%
7
 
24.1%
3
 
10.3%
1
 
3.4%
None
ValueCountFrequency (%)
6
100.0%
CJK
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct7030
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:49:59.059356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length55
Mean length29.4931
Min length19

Characters and Unicode

Total characters294931
Distinct characters624
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6129 ?
Unique (%)61.3%

Sample

1st row서울특별시 금천구 독산동 896번지 26호
2nd row서울특별시 용산구 후암동 303번지 5호
3rd row서울특별시 강북구 미아동 469번지 42호 충영빌딩
4th row서울특별시 서초구 양재동 230번지 (주)농업유통 하나로마트
5th row서울특별시 강남구 대치동 954번지 22호
ValueCountFrequency (%)
서울특별시 10000
 
17.8%
강남구 1079
 
1.9%
1호 885
 
1.6%
송파구 781
 
1.4%
영등포구 649
 
1.2%
강서구 620
 
1.1%
서초구 584
 
1.0%
마포구 584
 
1.0%
2호 518
 
0.9%
3호 495
 
0.9%
Other values (5744) 39936
71.1%
2024-05-11T14:49:59.856346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69514
23.6%
12063
 
4.1%
11631
 
3.9%
10736
 
3.6%
10660
 
3.6%
10395
 
3.5%
10107
 
3.4%
10089
 
3.4%
10003
 
3.4%
10003
 
3.4%
Other values (614) 129730
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177754
60.3%
Space Separator 69514
 
23.6%
Decimal Number 45302
 
15.4%
Uppercase Letter 1042
 
0.4%
Dash Punctuation 695
 
0.2%
Other Punctuation 165
 
0.1%
Lowercase Letter 141
 
< 0.1%
Open Punctuation 133
 
< 0.1%
Close Punctuation 133
 
< 0.1%
Letter Number 29
 
< 0.1%
Other values (2) 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12063
 
6.8%
11631
 
6.5%
10736
 
6.0%
10660
 
6.0%
10395
 
5.8%
10107
 
5.7%
10089
 
5.7%
10003
 
5.6%
10003
 
5.6%
7952
 
4.5%
Other values (544) 74115
41.7%
Uppercase Letter
ValueCountFrequency (%)
C 103
 
9.9%
B 96
 
9.2%
A 84
 
8.1%
N 80
 
7.7%
E 77
 
7.4%
T 69
 
6.6%
K 63
 
6.0%
S 60
 
5.8%
I 55
 
5.3%
M 45
 
4.3%
Other values (15) 310
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 36
25.5%
n 13
 
9.2%
r 11
 
7.8%
s 11
 
7.8%
c 11
 
7.8%
o 10
 
7.1%
t 9
 
6.4%
i 8
 
5.7%
a 6
 
4.3%
h 5
 
3.5%
Other values (9) 21
14.9%
Decimal Number
ValueCountFrequency (%)
1 9727
21.5%
2 6134
13.5%
3 4940
10.9%
4 4142
9.1%
5 3876
 
8.6%
6 3827
 
8.4%
0 3521
 
7.8%
7 3412
 
7.5%
9 3085
 
6.8%
8 2638
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 151
91.5%
& 6
 
3.6%
. 5
 
3.0%
: 1
 
0.6%
/ 1
 
0.6%
' 1
 
0.6%
Letter Number
ValueCountFrequency (%)
18
62.1%
7
 
24.1%
3
 
10.3%
1
 
3.4%
Space Separator
ValueCountFrequency (%)
69514
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 695
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177755
60.3%
Common 115959
39.3%
Latin 1212
 
0.4%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12063
 
6.8%
11631
 
6.5%
10736
 
6.0%
10660
 
6.0%
10395
 
5.8%
10107
 
5.7%
10089
 
5.7%
10003
 
5.6%
10003
 
5.6%
7952
 
4.5%
Other values (540) 74116
41.7%
Latin
ValueCountFrequency (%)
C 103
 
8.5%
B 96
 
7.9%
A 84
 
6.9%
N 80
 
6.6%
E 77
 
6.4%
T 69
 
5.7%
K 63
 
5.2%
S 60
 
5.0%
I 55
 
4.5%
M 45
 
3.7%
Other values (38) 480
39.6%
Common
ValueCountFrequency (%)
69514
59.9%
1 9727
 
8.4%
2 6134
 
5.3%
3 4940
 
4.3%
4 4142
 
3.6%
5 3876
 
3.3%
6 3827
 
3.3%
0 3521
 
3.0%
7 3412
 
2.9%
9 3085
 
2.7%
Other values (11) 3781
 
3.3%
Han
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177749
60.3%
ASCII 117142
39.7%
Number Forms 29
 
< 0.1%
None 6
 
< 0.1%
CJK 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69514
59.3%
1 9727
 
8.3%
2 6134
 
5.2%
3 4940
 
4.2%
4 4142
 
3.5%
5 3876
 
3.3%
6 3827
 
3.3%
0 3521
 
3.0%
7 3412
 
2.9%
9 3085
 
2.6%
Other values (55) 4964
 
4.2%
Hangul
ValueCountFrequency (%)
12063
 
6.8%
11631
 
6.5%
10736
 
6.0%
10660
 
6.0%
10395
 
5.8%
10107
 
5.7%
10089
 
5.7%
10003
 
5.6%
10003
 
5.6%
7952
 
4.5%
Other values (539) 74110
41.7%
Number Forms
ValueCountFrequency (%)
18
62.1%
7
 
24.1%
3
 
10.3%
1
 
3.4%
None
ValueCountFrequency (%)
6
100.0%
CJK
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct518
Distinct (%)61.6%
Missing9159
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean64.666742
Minimum0
Maximum1570.41
Zeros26
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:00.159650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q113.5
median29.75
Q361.6
95-th percentile219.26
Maximum1570.41
Range1570.41
Interquartile range (IQR)48.1

Descriptive statistics

Standard deviation127.83289
Coefficient of variation (CV)1.9767949
Kurtosis58.113425
Mean64.666742
Median Absolute Deviation (MAD)19.75
Skewness6.4867329
Sum54384.73
Variance16341.246
MonotonicityNot monotonic
2024-05-11T14:50:00.425336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 26
 
0.3%
3.3 25
 
0.2%
30.0 19
 
0.2%
10.0 18
 
0.2%
20.0 16
 
0.2%
6.6 12
 
0.1%
18.0 12
 
0.1%
1.0 11
 
0.1%
15.0 10
 
0.1%
33.0 10
 
0.1%
Other values (508) 682
 
6.8%
(Missing) 9159
91.6%
ValueCountFrequency (%)
0.0 26
0.3%
1.0 11
0.1%
1.3 1
 
< 0.1%
1.32 1
 
< 0.1%
1.48 1
 
< 0.1%
1.65 3
 
< 0.1%
2.0 2
 
< 0.1%
2.98 1
 
< 0.1%
3.0 5
 
0.1%
3.3 25
0.2%
ValueCountFrequency (%)
1570.41 1
< 0.1%
1570.3 1
< 0.1%
1126.58 1
< 0.1%
878.5 1
< 0.1%
850.16 1
< 0.1%
813.85 1
< 0.1%
680.38 1
< 0.1%
665.65 1
< 0.1%
657.36 1
< 0.1%
596.49 1
< 0.1%

영업자시작일
Real number (ℝ)

Distinct498
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20211198
Minimum19980325
Maximum20230324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:00.690527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980325
5-th percentile20210107
Q120210129
median20210303
Q320210330
95-th percentile20220531
Maximum20230324
Range249999
Interquartile range (IQR)201

Descriptive statistics

Standard deviation4344.8602
Coefficient of variation (CV)0.00021497291
Kurtosis804.337
Mean20211198
Median Absolute Deviation (MAD)99
Skewness-12.623585
Sum2.0211198 × 1011
Variance18877810
MonotonicityNot monotonic
2024-05-11T14:50:00.924899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210302 208
 
2.1%
20210104 197
 
2.0%
20210222 177
 
1.8%
20210329 176
 
1.8%
20210315 171
 
1.7%
20210405 163
 
1.6%
20210303 154
 
1.5%
20210215 153
 
1.5%
20210330 151
 
1.5%
20210118 151
 
1.5%
Other values (488) 8299
83.0%
ValueCountFrequency (%)
19980325 1
 
< 0.1%
20190426 1
 
< 0.1%
20200108 1
 
< 0.1%
20200309 1
 
< 0.1%
20201026 1
 
< 0.1%
20201228 1
 
< 0.1%
20201230 1
 
< 0.1%
20201231 2
 
< 0.1%
20210102 5
 
0.1%
20210104 197
2.0%
ValueCountFrequency (%)
20230324 2
 
< 0.1%
20230323 1
 
< 0.1%
20230322 5
 
0.1%
20230321 4
 
< 0.1%
20230320 4
 
< 0.1%
20230317 2
 
< 0.1%
20230316 3
 
< 0.1%
20230315 14
0.1%
20230314 4
 
< 0.1%
20230313 3
 
< 0.1%

법인명
Text

MISSING 

Distinct1832
Distinct (%)57.7%
Missing6825
Missing (%)68.2%
Memory size156.2 KiB
2024-05-11T14:50:01.283028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length9.5451969
Min length2

Characters and Unicode

Total characters30306
Distinct characters669
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1418 ?
Unique (%)44.7%

Sample

1st row주식회사 쿠킹프리
2nd row주식회사 그라우하우스
3rd row(주)제주스
4th row(주)팜덕
5th row주식회사 유니씨
ValueCountFrequency (%)
주식회사 2158
39.4%
네이쳐키친 48
 
0.9%
월드푸드 48
 
0.9%
명류당티에프 33
 
0.6%
마켓인 31
 
0.6%
농촌사랑 28
 
0.5%
코리아세븐 27
 
0.5%
씨엔 27
 
0.5%
신세계푸드 26
 
0.5%
행복생활건강 25
 
0.5%
Other values (1812) 3027
55.3%
2024-05-11T14:50:01.969390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2932
 
9.7%
2458
 
8.1%
2382
 
7.9%
2347
 
7.7%
2304
 
7.6%
815
 
2.7%
690
 
2.3%
) 661
 
2.2%
( 661
 
2.2%
644
 
2.1%
Other values (659) 14412
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26454
87.3%
Space Separator 2304
 
7.6%
Close Punctuation 661
 
2.2%
Open Punctuation 661
 
2.2%
Lowercase Letter 83
 
0.3%
Uppercase Letter 82
 
0.3%
Decimal Number 33
 
0.1%
Other Punctuation 24
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2932
 
11.1%
2458
 
9.3%
2382
 
9.0%
2347
 
8.9%
815
 
3.1%
690
 
2.6%
644
 
2.4%
613
 
2.3%
421
 
1.6%
412
 
1.6%
Other values (603) 12740
48.2%
Lowercase Letter
ValueCountFrequency (%)
o 11
13.3%
t 11
13.3%
a 8
9.6%
n 7
 
8.4%
e 7
 
8.4%
d 7
 
8.4%
i 4
 
4.8%
r 3
 
3.6%
u 3
 
3.6%
l 3
 
3.6%
Other values (11) 19
22.9%
Uppercase Letter
ValueCountFrequency (%)
C 14
17.1%
L 10
12.2%
R 7
8.5%
H 6
 
7.3%
I 6
 
7.3%
S 5
 
6.1%
T 5
 
6.1%
E 5
 
6.1%
A 5
 
6.1%
O 3
 
3.7%
Other values (9) 16
19.5%
Decimal Number
ValueCountFrequency (%)
2 9
27.3%
1 7
21.2%
0 6
18.2%
3 4
12.1%
4 3
 
9.1%
5 2
 
6.1%
9 1
 
3.0%
6 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 14
58.3%
, 9
37.5%
& 1
 
4.2%
Space Separator
ValueCountFrequency (%)
2304
100.0%
Close Punctuation
ValueCountFrequency (%)
) 661
100.0%
Open Punctuation
ValueCountFrequency (%)
( 661
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26454
87.3%
Common 3685
 
12.2%
Latin 165
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2932
 
11.1%
2458
 
9.3%
2382
 
9.0%
2347
 
8.9%
815
 
3.1%
690
 
2.6%
644
 
2.4%
613
 
2.3%
421
 
1.6%
412
 
1.6%
Other values (602) 12740
48.2%
Latin
ValueCountFrequency (%)
C 14
 
8.5%
o 11
 
6.7%
t 11
 
6.7%
L 10
 
6.1%
a 8
 
4.8%
n 7
 
4.2%
R 7
 
4.2%
e 7
 
4.2%
d 7
 
4.2%
H 6
 
3.6%
Other values (30) 77
46.7%
Common
ValueCountFrequency (%)
2304
62.5%
) 661
 
17.9%
( 661
 
17.9%
. 14
 
0.4%
, 9
 
0.2%
2 9
 
0.2%
1 7
 
0.2%
0 6
 
0.2%
3 4
 
0.1%
4 3
 
0.1%
Other values (5) 7
 
0.2%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26452
87.3%
ASCII 3850
 
12.7%
None 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2932
 
11.1%
2458
 
9.3%
2382
 
9.0%
2347
 
8.9%
815
 
3.1%
690
 
2.6%
644
 
2.4%
613
 
2.3%
421
 
1.6%
412
 
1.6%
Other values (601) 12738
48.2%
ASCII
ValueCountFrequency (%)
2304
59.8%
) 661
 
17.2%
( 661
 
17.2%
. 14
 
0.4%
C 14
 
0.4%
o 11
 
0.3%
t 11
 
0.3%
L 10
 
0.3%
, 9
 
0.2%
2 9
 
0.2%
Other values (45) 146
 
3.8%
None
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

법인번호
Real number (ℝ)

MISSING 

Distinct1596
Distinct (%)50.3%
Missing6825
Missing (%)68.2%
Infinite0
Infinite (%)0.0%
Mean1.2884164 × 1012
Minimum1.8280016 × 109
Maximum9.0042211 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:02.291543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8280016 × 109
5-th percentile1.101111 × 1012
Q11.1011155 × 1012
median1.1011176 × 1012
Q31.3411101 × 1012
95-th percentile2.11311 × 1012
Maximum9.0042211 × 1012
Range9.0023931 × 1012
Interquartile range (IQR)2.3999466 × 1011

Descriptive statistics

Standard deviation4.379387 × 1011
Coefficient of variation (CV)0.33990464
Kurtosis41.616742
Mean1.2884164 × 1012
Median Absolute Deviation (MAD)3676314
Skewness4.4085561
Sum4.090722 × 1015
Variance1.9179031 × 1023
MonotonicityNot monotonic
2024-05-11T14:50:02.527211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1101117780508 60
 
0.6%
1101113441477 52
 
0.5%
1201110572463 47
 
0.5%
1101110899976 45
 
0.4%
2850110435532 37
 
0.4%
1101110305288 36
 
0.4%
1101115463726 31
 
0.3%
2001110344815 29
 
0.3%
1357110090177 27
 
0.3%
1101115423796 26
 
0.3%
Other values (1586) 2785
27.9%
(Missing) 6825
68.2%
ValueCountFrequency (%)
1828001638 1
 
< 0.1%
2068271899 1
 
< 0.1%
3518300027 1
 
< 0.1%
1088207924111 1
 
< 0.1%
1101110000086 3
< 0.1%
1101110003098 6
0.1%
1101110003999 1
 
< 0.1%
1101110006852 6
0.1%
1101110013328 1
 
< 0.1%
1101110023393 1
 
< 0.1%
ValueCountFrequency (%)
9004221059412 1
 
< 0.1%
6605181558811 1
 
< 0.1%
2850110465688 2
 
< 0.1%
2850110449567 1
 
< 0.1%
2850110435532 37
0.4%
2850110422092 1
 
< 0.1%
2850110400527 2
 
< 0.1%
2850110377966 1
 
< 0.1%
2850110359766 6
 
0.1%
2850110262399 11
 
0.1%

소재지시작일
Real number (ℝ)

SKEWED 

Distinct420
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210659
Minimum19980325
Maximum20230322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:02.777494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980325
5-th percentile20210107
Q120210128
median20210226
Q320210325
95-th percentile20210706
Maximum20230322
Range249997
Interquartile range (IQR)197

Descriptive statistics

Standard deviation3288.7722
Coefficient of variation (CV)0.00016272464
Kurtosis2414.9639
Mean20210659
Median Absolute Deviation (MAD)98
Skewness-32.295695
Sum2.0210659 × 1011
Variance10816022
MonotonicityNot monotonic
2024-05-11T14:50:03.376371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210302 227
 
2.3%
20210104 208
 
2.1%
20210222 184
 
1.8%
20210315 177
 
1.8%
20210405 171
 
1.7%
20210329 170
 
1.7%
20210215 166
 
1.7%
20210223 162
 
1.6%
20210303 160
 
1.6%
20210319 158
 
1.6%
Other values (410) 8217
82.2%
ValueCountFrequency (%)
19980325 1
 
< 0.1%
20190426 1
 
< 0.1%
20201026 1
 
< 0.1%
20201228 1
 
< 0.1%
20201230 1
 
< 0.1%
20201231 1
 
< 0.1%
20210102 5
 
0.1%
20210104 208
2.1%
20210105 140
1.4%
20210106 137
1.4%
ValueCountFrequency (%)
20230322 5
0.1%
20230316 1
 
< 0.1%
20230314 2
 
< 0.1%
20230310 1
 
< 0.1%
20230309 1
 
< 0.1%
20230308 1
 
< 0.1%
20230307 1
 
< 0.1%
20230306 3
< 0.1%
20230302 1
 
< 0.1%
20230227 2
 
< 0.1%
Distinct402
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:50:03.936291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length4.1471
Min length2

Characters and Unicode

Total characters41471
Distinct characters184
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row독산제1동
2nd row후암동
3rd row미아동
4th row양재제1동
5th row대치1동
ValueCountFrequency (%)
역삼1동 294
 
2.9%
여의동 236
 
2.4%
신사동 216
 
2.2%
논현1동 181
 
1.8%
문정1동 162
 
1.6%
가양제1동 150
 
1.5%
서교동 149
 
1.5%
삼성1동 146
 
1.5%
서초제1동 132
 
1.3%
목1동 125
 
1.2%
Other values (392) 8209
82.1%
2024-05-11T14:50:04.764323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10026
24.2%
3951
 
9.5%
1 3824
 
9.2%
2 1271
 
3.1%
853
 
2.1%
719
 
1.7%
3 580
 
1.4%
533
 
1.3%
501
 
1.2%
456
 
1.1%
Other values (174) 18757
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34771
83.8%
Decimal Number 6439
 
15.5%
Other Punctuation 261
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10026
28.8%
3951
 
11.4%
853
 
2.5%
719
 
2.1%
533
 
1.5%
501
 
1.4%
456
 
1.3%
456
 
1.3%
438
 
1.3%
426
 
1.2%
Other values (163) 16412
47.2%
Decimal Number
ValueCountFrequency (%)
1 3824
59.4%
2 1271
 
19.7%
3 580
 
9.0%
4 420
 
6.5%
5 141
 
2.2%
6 81
 
1.3%
7 57
 
0.9%
8 40
 
0.6%
9 17
 
0.3%
0 8
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 261
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34771
83.8%
Common 6700
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10026
28.8%
3951
 
11.4%
853
 
2.5%
719
 
2.1%
533
 
1.5%
501
 
1.4%
456
 
1.3%
456
 
1.3%
438
 
1.3%
426
 
1.2%
Other values (163) 16412
47.2%
Common
ValueCountFrequency (%)
1 3824
57.1%
2 1271
 
19.0%
3 580
 
8.7%
4 420
 
6.3%
. 261
 
3.9%
5 141
 
2.1%
6 81
 
1.2%
7 57
 
0.9%
8 40
 
0.6%
9 17
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34771
83.8%
ASCII 6700
 
16.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10026
28.8%
3951
 
11.4%
853
 
2.5%
719
 
2.1%
533
 
1.5%
501
 
1.4%
456
 
1.3%
456
 
1.3%
438
 
1.3%
426
 
1.2%
Other values (163) 16412
47.2%
ASCII
ValueCountFrequency (%)
1 3824
57.1%
2 1271
 
19.0%
3 580
 
8.7%
4 420
 
6.3%
. 261
 
3.9%
5 141
 
2.1%
6 81
 
1.2%
7 57
 
0.9%
8 40
 
0.6%
9 17
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct595
Distinct (%)14.3%
Missing5853
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean20215105
Minimum20200114
Maximum20230324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:05.012396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200114
5-th percentile20210128
Q120210321
median20210726
Q320220622
95-th percentile20230130
Maximum20230324
Range30210
Interquartile range (IQR)10301.5

Descriptive statistics

Standard deviation6338.3711
Coefficient of variation (CV)0.00031354629
Kurtosis-0.20996808
Mean20215105
Median Absolute Deviation (MAD)508
Skewness0.97920048
Sum8.3832039 × 1010
Variance40174948
MonotonicityNot monotonic
2024-05-11T14:50:05.273524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210331 89
 
0.9%
20210414 65
 
0.7%
20210317 56
 
0.6%
20210303 45
 
0.4%
20210217 44
 
0.4%
20210311 43
 
0.4%
20210430 43
 
0.4%
20210422 42
 
0.4%
20210325 42
 
0.4%
20210304 42
 
0.4%
Other values (585) 3636
36.4%
(Missing) 5853
58.5%
ValueCountFrequency (%)
20200114 1
 
< 0.1%
20210107 2
 
< 0.1%
20210108 2
 
< 0.1%
20210109 1
 
< 0.1%
20210110 2
 
< 0.1%
20210111 2
 
< 0.1%
20210112 3
 
< 0.1%
20210113 4
 
< 0.1%
20210114 19
0.2%
20210115 1
 
< 0.1%
ValueCountFrequency (%)
20230324 3
 
< 0.1%
20230323 3
 
< 0.1%
20230322 7
0.1%
20230321 5
0.1%
20230320 7
0.1%
20230317 2
 
< 0.1%
20230316 9
0.1%
20230315 5
0.1%
20230314 5
0.1%
20230313 8
0.1%

폐업구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5853 
자진폐업
2087 
기타
1733 
전출
 
302
행정처분
 
25

Length

Max length4
Median length4
Mean length3.593
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5853
58.5%
자진폐업 2087
 
20.9%
기타 1733
 
17.3%
전출 302
 
3.0%
행정처분 25
 
0.2%

Length

2024-05-11T14:50:05.526936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:05.717985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5853
58.5%
자진폐업 2087
 
20.9%
기타 1733
 
17.3%
전출 302
 
3.0%
행정처분 25
 
0.2%

폐업사유
Text

MISSING 

Distinct304
Distinct (%)11.6%
Missing7389
Missing (%)73.9%
Memory size156.2 KiB
2024-05-11T14:50:06.210856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length23
Mean length18.288012
Min length2

Characters and Unicode

Total characters47750
Distinct characters250
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

Unique203 ?
Unique (%)7.8%

Sample

1st row조건부기간 완료에 따른 폐업처리(자동폐업)
2nd row영업부진
3rd row영업안함
4th row조건부기간 완료에 따른 폐업처리(자동폐업)
5th row조건부기간 완료에 따른 폐업처리(자동폐업)
ValueCountFrequency (%)
따른 1726
19.9%
조건부기간 1718
19.9%
완료에 1718
19.9%
폐업처리(자동폐업 1715
19.8%
전출처리됨 302
 
3.5%
서울특별시 213
 
2.5%
사업부진 60
 
0.7%
경기도 57
 
0.7%
자진폐업 56
 
0.6%
폐업 40
 
0.5%
Other values (372) 1049
12.1%
2024-05-11T14:50:07.053431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6041
 
12.7%
3807
 
8.0%
3573
 
7.5%
2038
 
4.3%
2023
 
4.2%
1852
 
3.9%
1820
 
3.8%
1811
 
3.8%
1788
 
3.7%
1756
 
3.7%
Other values (240) 21241
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38158
79.9%
Space Separator 6041
 
12.7%
Close Punctuation 1728
 
3.6%
Open Punctuation 1728
 
3.6%
Decimal Number 59
 
0.1%
Other Punctuation 25
 
0.1%
Control 6
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3807
 
10.0%
3573
 
9.4%
2038
 
5.3%
2023
 
5.3%
1852
 
4.9%
1820
 
4.8%
1811
 
4.7%
1788
 
4.7%
1756
 
4.6%
1747
 
4.6%
Other values (215) 15943
41.8%
Decimal Number
ValueCountFrequency (%)
2 26
44.1%
0 12
20.3%
7 5
 
8.5%
3 4
 
6.8%
1 3
 
5.1%
4 2
 
3.4%
8 2
 
3.4%
5 2
 
3.4%
9 2
 
3.4%
6 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 21
84.0%
, 1
 
4.0%
: 1
 
4.0%
& 1
 
4.0%
; 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 1727
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1727
99.9%
[ 1
 
0.1%
Control
ValueCountFrequency (%)
3
50.0%
3
50.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
g 1
50.0%
Space Separator
ValueCountFrequency (%)
6041
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38158
79.9%
Common 9590
 
20.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3807
 
10.0%
3573
 
9.4%
2038
 
5.3%
2023
 
5.3%
1852
 
4.9%
1820
 
4.8%
1811
 
4.7%
1788
 
4.7%
1756
 
4.6%
1747
 
4.6%
Other values (215) 15943
41.8%
Common
ValueCountFrequency (%)
6041
63.0%
) 1727
 
18.0%
( 1727
 
18.0%
2 26
 
0.3%
. 21
 
0.2%
0 12
 
0.1%
7 5
 
0.1%
3 4
 
< 0.1%
3
 
< 0.1%
- 3
 
< 0.1%
Other values (13) 21
 
0.2%
Latin
ValueCountFrequency (%)
t 1
50.0%
g 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38158
79.9%
ASCII 9592
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6041
63.0%
) 1727
 
18.0%
( 1727
 
18.0%
2 26
 
0.3%
. 21
 
0.2%
0 12
 
0.1%
7 5
 
0.1%
3 4
 
< 0.1%
3
 
< 0.1%
- 3
 
< 0.1%
Other values (15) 23
 
0.2%
Hangul
ValueCountFrequency (%)
3807
 
10.0%
3573
 
9.4%
2038
 
5.3%
2023
 
5.3%
1852
 
4.9%
1820
 
4.8%
1811
 
4.7%
1788
 
4.7%
1756
 
4.6%
1747
 
4.6%
Other values (215) 15943
41.8%
Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:50:07.437500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.7219
Min length2

Characters and Unicode

Total characters67219
Distinct characters146
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row커피숍
2nd row기타
3rd row호프/통닭
4th row기타 휴게음식점
5th row전자상거래(통신판매업)
ValueCountFrequency (%)
즉석판매제조가공업 2504
24.1%
전자상거래(통신판매업 1656
15.9%
기타 1160
11.1%
한식 1069
10.3%
커피숍 543
 
5.2%
유통전문판매업 348
 
3.3%
휴게음식점 344
 
3.3%
경양식 290
 
2.8%
영업장판매 252
 
2.4%
편의점 217
 
2.1%
Other values (56) 2025
19.5%
2024-05-11T14:50:08.106412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5417
 
8.1%
5293
 
7.9%
5275
 
7.8%
2861
 
4.3%
2718
 
4.0%
2664
 
4.0%
2533
 
3.8%
2528
 
3.8%
2504
 
3.7%
2504
 
3.7%
Other values (136) 32922
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62886
93.6%
Open Punctuation 1811
 
2.7%
Close Punctuation 1811
 
2.7%
Space Separator 408
 
0.6%
Other Punctuation 303
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5417
 
8.6%
5293
 
8.4%
5275
 
8.4%
2861
 
4.5%
2718
 
4.3%
2664
 
4.2%
2533
 
4.0%
2528
 
4.0%
2504
 
4.0%
2504
 
4.0%
Other values (130) 28589
45.5%
Other Punctuation
ValueCountFrequency (%)
/ 210
69.3%
, 88
29.0%
. 5
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 1811
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1811
100.0%
Space Separator
ValueCountFrequency (%)
408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62886
93.6%
Common 4333
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5417
 
8.6%
5293
 
8.4%
5275
 
8.4%
2861
 
4.5%
2718
 
4.3%
2664
 
4.2%
2533
 
4.0%
2528
 
4.0%
2504
 
4.0%
2504
 
4.0%
Other values (130) 28589
45.5%
Common
ValueCountFrequency (%)
( 1811
41.8%
) 1811
41.8%
408
 
9.4%
/ 210
 
4.8%
, 88
 
2.0%
. 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62886
93.6%
ASCII 4333
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5417
 
8.6%
5293
 
8.4%
5275
 
8.4%
2861
 
4.5%
2718
 
4.3%
2664
 
4.2%
2533
 
4.0%
2528
 
4.0%
2504
 
4.0%
2504
 
4.0%
Other values (130) 28589
45.5%
ASCII
ValueCountFrequency (%)
( 1811
41.8%
) 1811
41.8%
408
 
9.4%
/ 210
 
4.8%
, 88
 
2.0%
. 5
 
0.1%

지상_부터
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)0.6%
Missing7855
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean1.2083916
Minimum0
Maximum17
Zeros61
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:08.322403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.97109555
Coefficient of variation (CV)0.80362652
Kurtosis88.347474
Mean1.2083916
Median Absolute Deviation (MAD)0
Skewness7.8077855
Sum2592
Variance0.94302656
MonotonicityNot monotonic
2024-05-11T14:50:08.524787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 1807
 
18.1%
2 201
 
2.0%
0 61
 
0.6%
3 24
 
0.2%
4 21
 
0.2%
5 12
 
0.1%
6 10
 
0.1%
10 5
 
0.1%
17 1
 
< 0.1%
15 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 7855
78.5%
ValueCountFrequency (%)
0 61
 
0.6%
1 1807
18.1%
2 201
 
2.0%
3 24
 
0.2%
4 21
 
0.2%
5 12
 
0.1%
6 10
 
0.1%
10 5
 
0.1%
11 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
10 5
 
0.1%
6 10
 
0.1%
5 12
 
0.1%
4 21
 
0.2%
3 24
 
0.2%
2 201
2.0%

지상_까지
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)0.6%
Missing7923
Missing (%)79.2%
Infinite0
Infinite (%)0.0%
Mean1.2330284
Minimum0
Maximum18
Zeros63
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:08.724818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.97196101
Coefficient of variation (CV)0.78827139
Kurtosis80.882453
Mean1.2330284
Median Absolute Deviation (MAD)0
Skewness7.1827065
Sum2561
Variance0.94470821
MonotonicityNot monotonic
2024-05-11T14:50:08.915812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 1706
 
17.1%
2 220
 
2.2%
0 63
 
0.6%
3 34
 
0.3%
4 22
 
0.2%
5 13
 
0.1%
6 10
 
0.1%
10 5
 
0.1%
18 1
 
< 0.1%
14 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 7923
79.2%
ValueCountFrequency (%)
0 63
 
0.6%
1 1706
17.1%
2 220
 
2.2%
3 34
 
0.3%
4 22
 
0.2%
5 13
 
0.1%
6 10
 
0.1%
7 1
 
< 0.1%
10 5
 
0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
10 5
 
0.1%
7 1
 
< 0.1%
6 10
 
0.1%
5 13
 
0.1%
4 22
 
0.2%
3 34
 
0.3%
2 220
2.2%

지하_부터
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9329 
1
 
519
0
 
76
2
 
65
3
 
11

Length

Max length4
Median length4
Mean length3.7987
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9329
93.3%
1 519
 
5.2%
0 76
 
0.8%
2 65
 
0.7%
3 11
 
0.1%

Length

2024-05-11T14:50:09.166607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:09.367452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9329
93.3%
1 519
 
5.2%
0 76
 
0.8%
2 65
 
0.7%
3 11
 
0.1%

지하_까지
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9335 
1
 
513
0
 
76
2
 
65
3
 
11

Length

Max length4
Median length4
Mean length3.8005
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9335
93.3%
1 513
 
5.1%
0 76
 
0.8%
2 65
 
0.7%
3 11
 
0.1%

Length

2024-05-11T14:50:09.564096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:09.757170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9335
93.3%
1 513
 
5.1%
0 76
 
0.8%
2 65
 
0.7%
3 11
 
0.1%

총층수
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)3.4%
Missing9207
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean6.3518285
Minimum0
Maximum30
Zeros74
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:09.945066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q38
95-th percentile19
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.5904906
Coefficient of variation (CV)0.88013879
Kurtosis1.0655623
Mean6.3518285
Median Absolute Deviation (MAD)2
Skewness1.3242353
Sum5037
Variance31.253586
MonotonicityNot monotonic
2024-05-11T14:50:10.192241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4 150
 
1.5%
5 113
 
1.1%
3 93
 
0.9%
0 74
 
0.7%
2 67
 
0.7%
6 39
 
0.4%
7 28
 
0.3%
9 24
 
0.2%
14 24
 
0.2%
1 22
 
0.2%
Other values (17) 159
 
1.6%
(Missing) 9207
92.1%
ValueCountFrequency (%)
0 74
0.7%
1 22
 
0.2%
2 67
0.7%
3 93
0.9%
4 150
1.5%
5 113
1.1%
6 39
 
0.4%
7 28
 
0.3%
8 18
 
0.2%
9 24
 
0.2%
ValueCountFrequency (%)
30 1
 
< 0.1%
28 1
 
< 0.1%
26 2
 
< 0.1%
23 2
 
< 0.1%
22 1
 
< 0.1%
21 4
 
< 0.1%
20 19
0.2%
19 12
0.1%
18 9
0.1%
17 19
0.2%

교육수료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

모범음식점여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
비대상
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비대상 10000
100.0%

Length

2024-05-11T14:50:10.425645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:10.573538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비대상 10000
100.0%

급수시설
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9195 
상수도전용
 
805

Length

Max length5
Median length4
Mean length4.0805
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9195
92.0%
상수도전용 805
 
8.1%

Length

2024-05-11T14:50:10.718256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:10.869610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9195
92.0%
상수도전용 805
 
8.1%

업소위치
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지상
5558 
<NA>
2200 
지하
1894 
지상2층이상
 
318
지상+지하
 
24
Other values (2)
 
6

Length

Max length6
Median length2
Mean length2.5744
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지상 5558
55.6%
<NA> 2200
 
22.0%
지하 1894
 
18.9%
지상2층이상 318
 
3.2%
지상+지하 24
 
0.2%
도선 4
 
< 0.1%
도상 2
 
< 0.1%

Length

2024-05-11T14:50:11.089083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:11.282948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지상 5558
55.6%
na 2200
 
22.0%
지하 1894
 
18.9%
지상2층이상 318
 
3.2%
지상+지하 24
 
0.2%
도선 4
 
< 0.1%
도상 2
 
< 0.1%

종업원남
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9997 
1
 
3

Length

Max length4
Median length4
Mean length3.9991
Min length1

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> 9997
> 99.9%
1 3
 
< 0.1%

Length

2024-05-11T14:50:11.541155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:11.721768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9997
> 99.9%
1 3
 
< 0.1%

종업원여
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
1
 
2

Length

Max length4
Median length4
Mean length3.9994
Min length1

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> 9998
> 99.9%
1 2
 
< 0.1%

Length

2024-05-11T14:50:11.888120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:12.047347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
1 2
 
< 0.1%

급식소종류
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9986 
사회복지시설
 
5
병원
 
5
기타
 
4

Length

Max length6
Median length4
Mean length3.9992
Min length2

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> 9986
99.9%
사회복지시설 5
 
0.1%
병원 5
 
0.1%
기타 4
 
< 0.1%

Length

2024-05-11T14:50:12.236151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:12.426577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9986
99.9%
사회복지시설 5
 
< 0.1%
병원 5
 
< 0.1%
기타 4
 
< 0.1%

평균급식인원수
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)65.0%
Missing9920
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean102.675
Minimum0
Maximum639
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:12.570066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q143.75
median59.5
Q3100.5
95-th percentile402.5
Maximum639
Range639
Interquartile range (IQR)56.75

Descriptive statistics

Standard deviation124.52876
Coefficient of variation (CV)1.212844
Kurtosis5.9507814
Mean102.675
Median Absolute Deviation (MAD)30
Skewness2.4297596
Sum8214
Variance15507.412
MonotonicityNot monotonic
2024-05-11T14:50:12.768298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
0.1%
58 5
 
0.1%
50 3
 
< 0.1%
47 3
 
< 0.1%
70 3
 
< 0.1%
97 2
 
< 0.1%
53 2
 
< 0.1%
85 2
 
< 0.1%
150 2
 
< 0.1%
51 2
 
< 0.1%
Other values (42) 45
 
0.4%
(Missing) 9920
99.2%
ValueCountFrequency (%)
0 11
0.1%
23 1
 
< 0.1%
28 1
 
< 0.1%
31 1
 
< 0.1%
32 1
 
< 0.1%
37 1
 
< 0.1%
39 1
 
< 0.1%
40 1
 
< 0.1%
41 1
 
< 0.1%
43 1
 
< 0.1%
ValueCountFrequency (%)
639 1
< 0.1%
500 1
< 0.1%
468 1
< 0.1%
450 1
< 0.1%
400 1
< 0.1%
371 1
< 0.1%
333 1
< 0.1%
300 1
< 0.1%
245 1
< 0.1%
227 1
< 0.1%

최대급식인원수
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)43.8%
Missing9920
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean62.525
Minimum0
Maximum800
Zeros40
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:12.959718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q376.25
95-th percentile305
Maximum800
Range800
Interquartile range (IQR)76.25

Descriptive statistics

Standard deviation125.35943
Coefficient of variation (CV)2.0049489
Kurtosis16.679756
Mean62.525
Median Absolute Deviation (MAD)3.5
Skewness3.7117709
Sum5002
Variance15714.987
MonotonicityNot monotonic
2024-05-11T14:50:13.194413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 40
 
0.4%
40 2
 
< 0.1%
70 2
 
< 0.1%
97 2
 
< 0.1%
59 2
 
< 0.1%
10 2
 
< 0.1%
142 2
 
< 0.1%
180 1
 
< 0.1%
82 1
 
< 0.1%
20 1
 
< 0.1%
Other values (25) 25
 
0.2%
(Missing) 9920
99.2%
ValueCountFrequency (%)
0 40
0.4%
7 1
 
< 0.1%
10 2
 
< 0.1%
20 1
 
< 0.1%
25 1
 
< 0.1%
30 1
 
< 0.1%
40 2
 
< 0.1%
41 1
 
< 0.1%
50 1
 
< 0.1%
51 1
 
< 0.1%
ValueCountFrequency (%)
800 1
< 0.1%
468 1
< 0.1%
428 1
< 0.1%
400 1
< 0.1%
300 1
< 0.1%
180 1
< 0.1%
174 1
< 0.1%
160 1
< 0.1%
142 2
< 0.1%
110 1
< 0.1%

1일급식인원수
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)70.9%
Missing9921
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean181.56962
Minimum0
Maximum1484
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:13.402022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q157
median93
Q3201
95-th percentile692
Maximum1484
Range1484
Interquartile range (IQR)144

Descriptive statistics

Standard deviation249.85179
Coefficient of variation (CV)1.376066
Kurtosis10.678234
Mean181.56962
Median Absolute Deviation (MAD)47
Skewness2.9922976
Sum14344
Variance62425.915
MonotonicityNot monotonic
2024-05-11T14:50:13.709955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
0.1%
70 3
 
< 0.1%
150 2
 
< 0.1%
65 2
 
< 0.1%
53 2
 
< 0.1%
85 2
 
< 0.1%
140 2
 
< 0.1%
50 2
 
< 0.1%
110 2
 
< 0.1%
230 2
 
< 0.1%
Other values (46) 49
 
0.5%
(Missing) 9921
99.2%
ValueCountFrequency (%)
0 11
0.1%
50 2
 
< 0.1%
51 2
 
< 0.1%
53 2
 
< 0.1%
55 2
 
< 0.1%
56 1
 
< 0.1%
58 2
 
< 0.1%
59 1
 
< 0.1%
60 1
 
< 0.1%
62 1
 
< 0.1%
ValueCountFrequency (%)
1484 1
< 0.1%
1000 1
< 0.1%
900 1
< 0.1%
800 1
< 0.1%
680 1
< 0.1%
639 1
< 0.1%
500 1
< 0.1%
468 1
< 0.1%
400 1
< 0.1%
358 1
< 0.1%

일인당평균급식비
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)31.2%
Missing9920
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean3157.8625
Minimum0
Maximum50000
Zeros20
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:13.969182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11500
median2500
Q33589.75
95-th percentile6085
Maximum50000
Range50000
Interquartile range (IQR)2089.75

Descriptive statistics

Standard deviation5655.9257
Coefficient of variation (CV)1.7910614
Kurtosis61.193108
Mean3157.8625
Median Absolute Deviation (MAD)1179.5
Skewness7.3632394
Sum252629
Variance31989495
MonotonicityNot monotonic
2024-05-11T14:50:14.138843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 20
 
0.2%
2500 11
 
0.1%
3000 7
 
0.1%
2400 4
 
< 0.1%
2200 4
 
< 0.1%
4500 4
 
< 0.1%
4000 3
 
< 0.1%
3500 3
 
< 0.1%
5000 3
 
< 0.1%
2700 3
 
< 0.1%
Other values (15) 18
 
0.2%
(Missing) 9920
99.2%
ValueCountFrequency (%)
0 20
0.2%
2000 2
 
< 0.1%
2200 4
 
< 0.1%
2250 1
 
< 0.1%
2300 2
 
< 0.1%
2400 4
 
< 0.1%
2500 11
0.1%
2600 2
 
< 0.1%
2700 3
 
< 0.1%
3000 7
 
0.1%
ValueCountFrequency (%)
50000 1
 
< 0.1%
9000 1
 
< 0.1%
8000 1
 
< 0.1%
7700 1
 
< 0.1%
6000 1
 
< 0.1%
5500 1
 
< 0.1%
5000 3
< 0.1%
4750 1
 
< 0.1%
4500 4
< 0.1%
4200 1
 
< 0.1%

운영형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9951 
직영
 
41
(조합)위탁
 
8

Length

Max length6
Median length4
Mean length3.9934
Min length2

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> 9951
99.5%
직영 41
 
0.4%
(조합)위탁 8
 
0.1%

Length

2024-05-11T14:50:14.325608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:14.494638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9951
99.5%
직영 41
 
0.4%
조합)위탁 8
 
0.1%

영업장조리장면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct943
Distinct (%)38.6%
Missing7556
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean30.943564
Minimum0
Maximum1570.3
Zeros241
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:14.654524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.8
median17.01
Q332.55
95-th percentile96.617
Maximum1570.3
Range1570.3
Interquartile range (IQR)22.75

Descriptive statistics

Standard deviation65.390323
Coefficient of variation (CV)2.1132124
Kurtosis275.82175
Mean30.943564
Median Absolute Deviation (MAD)10.99
Skewness13.478014
Sum75626.07
Variance4275.8944
MonotonicityNot monotonic
2024-05-11T14:50:14.840752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 241
 
2.4%
10.0 141
 
1.4%
3.3 92
 
0.9%
20.0 85
 
0.9%
15.0 65
 
0.7%
30.0 58
 
0.6%
33.0 44
 
0.4%
13.0 35
 
0.4%
6.6 28
 
0.3%
5.0 28
 
0.3%
Other values (933) 1627
 
16.3%
(Missing) 7556
75.6%
ValueCountFrequency (%)
0.0 241
2.4%
1.0 6
 
0.1%
1.3 5
 
0.1%
1.32 1
 
< 0.1%
1.5 1
 
< 0.1%
1.6 1
 
< 0.1%
1.65 1
 
< 0.1%
2.0 3
 
< 0.1%
2.4 1
 
< 0.1%
2.45 1
 
< 0.1%
ValueCountFrequency (%)
1570.3 2
< 0.1%
990.8 1
< 0.1%
546.0 1
< 0.1%
502.0 1
< 0.1%
454.64 1
< 0.1%
425.09 1
< 0.1%
406.7 1
< 0.1%
392.0 1
< 0.1%
367.53 1
< 0.1%
355.05 1
< 0.1%

영업장객실면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct167
Distinct (%)25.6%
Missing9348
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean15.056549
Minimum0
Maximum315
Zeros442
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:15.392529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile66.2655
Maximum315
Range315
Interquartile range (IQR)20

Descriptive statistics

Standard deviation34.653943
Coefficient of variation (CV)2.301586
Kurtosis26.666582
Mean15.056549
Median Absolute Deviation (MAD)0
Skewness4.4299806
Sum9816.87
Variance1200.8957
MonotonicityNot monotonic
2024-05-11T14:50:15.632925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 442
 
4.4%
30.0 7
 
0.1%
20.0 5
 
0.1%
50.0 4
 
< 0.1%
29.0 4
 
< 0.1%
36.0 3
 
< 0.1%
10.0 3
 
< 0.1%
33.0 3
 
< 0.1%
3.3 3
 
< 0.1%
45.0 3
 
< 0.1%
Other values (157) 175
 
1.8%
(Missing) 9348
93.5%
ValueCountFrequency (%)
0.0 442
4.4%
1.0 1
 
< 0.1%
2.5 1
 
< 0.1%
3.3 3
 
< 0.1%
5.0 1
 
< 0.1%
6.0 2
 
< 0.1%
6.6 2
 
< 0.1%
6.61 1
 
< 0.1%
6.73 1
 
< 0.1%
7.0 1
 
< 0.1%
ValueCountFrequency (%)
315.0 1
< 0.1%
282.59 1
< 0.1%
280.0 1
< 0.1%
260.0 1
< 0.1%
228.18 1
< 0.1%
185.34 1
< 0.1%
179.93 1
< 0.1%
164.1 1
< 0.1%
144.24 1
< 0.1%
134.64 1
< 0.1%

영업장무도장면적(㎡)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9552 
0
 
448

Length

Max length4
Median length4
Mean length3.8656
Min length1

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> 9552
95.5%
0 448
 
4.5%

Length

2024-05-11T14:50:15.955006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:16.217490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9552
95.5%
0 448
 
4.5%

영업장기타면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct1552
Distinct (%)44.1%
Missing6482
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean47.459804
Minimum0
Maximum2126.34
Zeros517
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:16.403481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3
median23
Q349.59
95-th percentile171.718
Maximum2126.34
Range2126.34
Interquartile range (IQR)46.29

Descriptive statistics

Standard deviation99.631743
Coefficient of variation (CV)2.0992869
Kurtosis129.21733
Mean47.459804
Median Absolute Deviation (MAD)19.7
Skewness8.8268719
Sum166963.59
Variance9926.4842
MonotonicityNot monotonic
2024-05-11T14:50:16.605285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 517
 
5.2%
3.3 244
 
2.4%
10.0 63
 
0.6%
33.0 63
 
0.6%
6.6 59
 
0.6%
30.0 44
 
0.4%
20.0 38
 
0.4%
15.0 27
 
0.3%
16.5 26
 
0.3%
40.0 25
 
0.2%
Other values (1542) 2412
 
24.1%
(Missing) 6482
64.8%
ValueCountFrequency (%)
0.0 517
5.2%
0.03 1
 
< 0.1%
0.53 1
 
< 0.1%
0.8 2
 
< 0.1%
0.91 1
 
< 0.1%
1.0 6
 
0.1%
1.02 2
 
< 0.1%
1.14 1
 
< 0.1%
1.15 3
 
< 0.1%
1.2 4
 
< 0.1%
ValueCountFrequency (%)
2126.34 1
< 0.1%
2007.45 1
< 0.1%
1383.5 1
< 0.1%
1254.0 2
< 0.1%
994.52 1
< 0.1%
878.5 1
< 0.1%
811.0 1
< 0.1%
767.6 1
< 0.1%
729.7 1
< 0.1%
718.82 1
< 0.1%

업소내화장실면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)9.2%
Missing8980
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean1.3436078
Minimum0
Maximum124.46
Zeros830
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:16.825380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.6
Maximum124.46
Range124.46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.9203336
Coefficient of variation (CV)4.4062958
Kurtosis250.99359
Mean1.3436078
Median Absolute Deviation (MAD)0
Skewness13.961141
Sum1370.48
Variance35.050349
MonotonicityNot monotonic
2024-05-11T14:50:17.072185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 830
 
8.3%
5.0 23
 
0.2%
3.3 15
 
0.1%
3.0 13
 
0.1%
6.6 12
 
0.1%
6.0 11
 
0.1%
4.0 8
 
0.1%
10.0 5
 
0.1%
2.0 4
 
< 0.1%
7.0 3
 
< 0.1%
Other values (84) 96
 
1.0%
(Missing) 8980
89.8%
ValueCountFrequency (%)
0.0 830
8.3%
0.74 1
 
< 0.1%
0.83 1
 
< 0.1%
0.88 1
 
< 0.1%
1.0 1
 
< 0.1%
1.03 1
 
< 0.1%
1.08 1
 
< 0.1%
1.2 1
 
< 0.1%
1.3 2
 
< 0.1%
1.32 1
 
< 0.1%
ValueCountFrequency (%)
124.46 1
 
< 0.1%
93.8 1
 
< 0.1%
60.0 1
 
< 0.1%
24.18 1
 
< 0.1%
21.89 1
 
< 0.1%
21.02 1
 
< 0.1%
20.0 3
< 0.1%
18.5 1
 
< 0.1%
17.38 1
 
< 0.1%
17.0 1
 
< 0.1%

타업소공동화장실면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)2.8%
Missing9050
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean0.67247368
Minimum0
Maximum40
Zeros850
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:17.304541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.3
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9107376
Coefficient of variation (CV)4.3284038
Kurtosis80.123152
Mean0.67247368
Median Absolute Deviation (MAD)0
Skewness7.8870622
Sum638.85
Variance8.4723936
MonotonicityNot monotonic
2024-05-11T14:50:17.513669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 850
 
8.5%
3.3 42
 
0.4%
6.6 8
 
0.1%
5.0 7
 
0.1%
3.0 6
 
0.1%
10.0 5
 
0.1%
6.0 4
 
< 0.1%
1.5 4
 
< 0.1%
7.0 3
 
< 0.1%
9.9 2
 
< 0.1%
Other values (17) 19
 
0.2%
(Missing) 9050
90.5%
ValueCountFrequency (%)
0.0 850
8.5%
1.5 4
 
< 0.1%
1.6 1
 
< 0.1%
2.0 2
 
< 0.1%
2.2 1
 
< 0.1%
3.0 6
 
0.1%
3.3 42
 
0.4%
4.0 2
 
< 0.1%
5.0 7
 
0.1%
6.0 4
 
< 0.1%
ValueCountFrequency (%)
40.0 1
< 0.1%
33.0 1
< 0.1%
31.98 1
< 0.1%
30.0 1
< 0.1%
20.0 1
< 0.1%
16.5 1
< 0.1%
16.0 1
< 0.1%
15.0 1
< 0.1%
13.5 1
< 0.1%
12.4 1
< 0.1%

영업장탈의실면적(㎡)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9553 
0
 
447

Length

Max length4
Median length4
Mean length3.8659
Min length1

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> 9553
95.5%
0 447
 
4.5%

Length

2024-05-11T14:50:17.760781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:17.952358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9553
95.5%
0 447
 
4.5%

영업장객석면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct628
Distinct (%)43.3%
Missing8549
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean40.296051
Minimum0
Maximum1550.35
Zeros322
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:18.189168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median20
Q342
95-th percentile122.24
Maximum1550.35
Range1550.35
Interquartile range (IQR)38

Descriptive statistics

Standard deviation92.632222
Coefficient of variation (CV)2.2987916
Kurtosis94.502808
Mean40.296051
Median Absolute Deviation (MAD)20
Skewness8.2825647
Sum58469.57
Variance8580.7286
MonotonicityNot monotonic
2024-05-11T14:50:18.588585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 322
 
3.2%
20.0 59
 
0.6%
30.0 51
 
0.5%
10.0 45
 
0.4%
40.0 37
 
0.4%
15.0 26
 
0.3%
50.0 22
 
0.2%
6.0 12
 
0.1%
12.0 11
 
0.1%
5.0 10
 
0.1%
Other values (618) 856
 
8.6%
(Missing) 8549
85.5%
ValueCountFrequency (%)
0.0 322
3.2%
0.73 1
 
< 0.1%
1.0 1
 
< 0.1%
2.0 6
 
0.1%
2.3 5
 
0.1%
2.4 1
 
< 0.1%
2.49 1
 
< 0.1%
2.86 1
 
< 0.1%
3.0 7
 
0.1%
3.06 1
 
< 0.1%
ValueCountFrequency (%)
1550.35 1
< 0.1%
1272.23 1
< 0.1%
923.0 1
< 0.1%
900.0 1
< 0.1%
860.0 1
< 0.1%
746.0 1
< 0.1%
730.16 1
< 0.1%
664.5 1
< 0.1%
600.0 2
< 0.1%
569.81 1
< 0.1%

작업장면적(㎡)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct408
Distinct (%)30.9%
Missing8681
Missing (%)86.8%
Infinite0
Infinite (%)0.0%
Mean167.54729
Minimum0
Maximum160325
Zeros267
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:18.885665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3
median7.93
Q327
95-th percentile209.074
Maximum160325
Range160325
Interquartile range (IQR)23.7

Descriptive statistics

Standard deviation4416.0118
Coefficient of variation (CV)26.356808
Kurtosis1315.6427
Mean167.54729
Median Absolute Deviation (MAD)7.93
Skewness36.249023
Sum220994.88
Variance19501160
MonotonicityNot monotonic
2024-05-11T14:50:19.255029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 267
 
2.7%
3.3 190
 
1.9%
6.6 64
 
0.6%
10.0 44
 
0.4%
3.0 29
 
0.3%
20.0 26
 
0.3%
232.58 25
 
0.2%
1126.58 22
 
0.2%
30.0 19
 
0.2%
9.9 19
 
0.2%
Other values (398) 614
 
6.1%
(Missing) 8681
86.8%
ValueCountFrequency (%)
0.0 267
2.7%
1.0 14
 
0.1%
1.1 2
 
< 0.1%
1.32 1
 
< 0.1%
2.0 3
 
< 0.1%
2.25 1
 
< 0.1%
3.0 29
 
0.3%
3.14 1
 
< 0.1%
3.15 1
 
< 0.1%
3.21 1
 
< 0.1%
ValueCountFrequency (%)
160325.0 1
 
< 0.1%
1570.41 1
 
< 0.1%
1126.58 22
0.2%
813.85 1
 
< 0.1%
537.9 1
 
< 0.1%
494.58 1
 
< 0.1%
353.5 1
 
< 0.1%
352.43 1
 
< 0.1%
326.74 1
 
< 0.1%
315.24 1
 
< 0.1%

검사실면적(㎡)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9669 
0
 
331

Length

Max length4
Median length4
Mean length3.9007
Min length1

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> 9669
96.7%
0 331
 
3.3%

Length

2024-05-11T14:50:19.523526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:19.741112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9669
96.7%
0 331
 
3.3%

진열(판매)대면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)13.4%
Missing9553
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean9.5535794
Minimum0
Maximum1637
Zeros324
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:19.950584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile17.47
Maximum1637
Range1637
Interquartile range (IQR)1

Descriptive statistics

Standard deviation90.600838
Coefficient of variation (CV)9.4834442
Kurtosis254.45166
Mean9.5535794
Median Absolute Deviation (MAD)0
Skewness15.319725
Sum4270.45
Variance8208.5118
MonotonicityNot monotonic
2024-05-11T14:50:20.196952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 324
 
3.2%
3.3 23
 
0.2%
3.0 17
 
0.2%
1.0 10
 
0.1%
9.9 4
 
< 0.1%
10.0 4
 
< 0.1%
2.0 4
 
< 0.1%
6.6 4
 
< 0.1%
5.0 3
 
< 0.1%
6.0 2
 
< 0.1%
Other values (50) 52
 
0.5%
(Missing) 9553
95.5%
ValueCountFrequency (%)
0.0 324
3.2%
0.32 1
 
< 0.1%
0.54 1
 
< 0.1%
0.8 1
 
< 0.1%
1.0 10
 
0.1%
1.17 1
 
< 0.1%
1.42 1
 
< 0.1%
1.65 1
 
< 0.1%
2.0 4
 
< 0.1%
2.1 1
 
< 0.1%
ValueCountFrequency (%)
1637.0 1
< 0.1%
885.0 1
< 0.1%
430.0 1
< 0.1%
142.14 1
< 0.1%
84.2 1
< 0.1%
69.49 1
< 0.1%
56.0 1
< 0.1%
49.09 1
< 0.1%
45.57 1
< 0.1%
39.2 1
< 0.1%

창고(보관소)면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)10.3%
Missing9553
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean3.1638926
Minimum0
Maximum206
Zeros397
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:20.455738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.303
Maximum206
Range206
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.633968
Coefficient of variation (CV)5.2574376
Kurtosis89.636234
Mean3.1638926
Median Absolute Deviation (MAD)0
Skewness8.7750512
Sum1414.26
Variance276.68889
MonotonicityNot monotonic
2024-05-11T14:50:20.719811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 397
 
4.0%
33.0 3
 
< 0.1%
3.0 2
 
< 0.1%
10.0 2
 
< 0.1%
2.0 2
 
< 0.1%
21.46 1
 
< 0.1%
19.77 1
 
< 0.1%
31.81 1
 
< 0.1%
27.2 1
 
< 0.1%
6.4 1
 
< 0.1%
Other values (36) 36
 
0.4%
(Missing) 9553
95.5%
ValueCountFrequency (%)
0.0 397
4.0%
1.4 1
 
< 0.1%
1.6 1
 
< 0.1%
2.0 2
 
< 0.1%
2.24 1
 
< 0.1%
2.6 1
 
< 0.1%
2.76 1
 
< 0.1%
3.0 2
 
< 0.1%
3.1 1
 
< 0.1%
3.3 1
 
< 0.1%
ValueCountFrequency (%)
206.0 1
< 0.1%
177.14 1
< 0.1%
148.0 1
< 0.1%
78.5 1
< 0.1%
61.75 1
< 0.1%
59.08 1
< 0.1%
58.0 1
< 0.1%
40.0 1
< 0.1%
37.2 1
< 0.1%
35.56 1
< 0.1%
Distinct7157
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:50:21.082010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6858 ?
Unique (%)68.6%

Sample

1st row3170000-104-2021-00008
2nd row3020000-101-2021-****4
3rd row3080000-101-2021-****5
4th row3210000-104-2021-00001
5th row3220000-134-2021-00061
ValueCountFrequency (%)
3220000-101-2021-****5 37
 
0.4%
3220000-101-2021-****4 35
 
0.4%
3220000-101-2021-****6 35
 
0.4%
3220000-101-2021-****2 32
 
0.3%
3220000-101-2021-****8 31
 
0.3%
3220000-101-2021-****7 30
 
0.3%
3220000-101-2021-****0 30
 
0.3%
3220000-101-2021-****3 29
 
0.3%
3220000-101-2021-****9 29
 
0.3%
3220000-101-2021-****1 28
 
0.3%
Other values (7147) 9684
96.8%
2024-05-11T14:50:21.671653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 82835
37.7%
1 31924
 
14.5%
- 30000
 
13.6%
2 27484
 
12.5%
3 16011
 
7.3%
* 12176
 
5.5%
4 6205
 
2.8%
7 4451
 
2.0%
5 2806
 
1.3%
8 2278
 
1.0%
Other values (2) 3830
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 177824
80.8%
Dash Punctuation 30000
 
13.6%
Other Punctuation 12176
 
5.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 82835
46.6%
1 31924
 
18.0%
2 27484
 
15.5%
3 16011
 
9.0%
4 6205
 
3.5%
7 4451
 
2.5%
5 2806
 
1.6%
8 2278
 
1.3%
6 2073
 
1.2%
9 1757
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%
Other Punctuation
ValueCountFrequency (%)
* 12176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 82835
37.7%
1 31924
 
14.5%
- 30000
 
13.6%
2 27484
 
12.5%
3 16011
 
7.3%
* 12176
 
5.5%
4 6205
 
2.8%
7 4451
 
2.0%
5 2806
 
1.3%
8 2278
 
1.0%
Other values (2) 3830
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 82835
37.7%
1 31924
 
14.5%
- 30000
 
13.6%
2 27484
 
12.5%
3 16011
 
7.3%
* 12176
 
5.5%
4 6205
 
2.8%
7 4451
 
2.0%
5 2806
 
1.3%
8 2278
 
1.0%
Other values (2) 3830
 
1.7%

조건부허가시작일
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)6.5%
Missing8244
Missing (%)82.4%
Infinite0
Infinite (%)0.0%
Mean20210285
Minimum20200108
Maximum20230125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:21.929306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200108
5-th percentile20210111
Q120210204
median20210304
Q320210326
95-th percentile20210415
Maximum20230125
Range30017
Interquartile range (IQR)122

Descriptive statistics

Standard deviation643.49146
Coefficient of variation (CV)3.1839802 × 10-5
Kurtosis622.77133
Mean20210285
Median Absolute Deviation (MAD)96
Skewness19.058235
Sum3.548926 × 1010
Variance414081.26
MonotonicityNot monotonic
2024-05-11T14:50:22.181629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210401 100
 
1.0%
20210304 61
 
0.6%
20210318 56
 
0.6%
20210415 45
 
0.4%
20210215 44
 
0.4%
20210219 44
 
0.4%
20210121 43
 
0.4%
20210218 43
 
0.4%
20210315 41
 
0.4%
20210226 40
 
0.4%
Other values (105) 1239
 
12.4%
(Missing) 8244
82.4%
ValueCountFrequency (%)
20200108 1
 
< 0.1%
20210102 1
 
< 0.1%
20210104 7
 
0.1%
20210105 6
 
0.1%
20210106 7
 
0.1%
20210107 15
0.1%
20210108 31
0.3%
20210109 4
 
< 0.1%
20210110 2
 
< 0.1%
20210111 36
0.4%
ValueCountFrequency (%)
20230125 1
 
< 0.1%
20220524 2
 
< 0.1%
20210829 1
 
< 0.1%
20210430 1
 
< 0.1%
20210429 4
< 0.1%
20210428 1
 
< 0.1%
20210426 3
 
< 0.1%
20210425 1
 
< 0.1%
20210424 1
 
< 0.1%
20210423 8
0.1%

조건부허가종료일
Real number (ℝ)

MISSING 

Distinct144
Distinct (%)8.2%
Missing8244
Missing (%)82.4%
Infinite0
Infinite (%)0.0%
Mean20210738
Minimum20200114
Maximum20291218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T14:50:22.425553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200114
5-th percentile20210121
Q120210217
median20210316
Q320210410
95-th percentile20210502
Maximum20291218
Range91104
Interquartile range (IQR)193

Descriptive statistics

Standard deviation4254.5218
Coefficient of variation (CV)0.00021050799
Kurtosis229.60517
Mean20210738
Median Absolute Deviation (MAD)97
Skewness13.764769
Sum3.5490057 × 1010
Variance18100956
MonotonicityNot monotonic
2024-05-11T14:50:22.648133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210331 89
 
0.9%
20210414 61
 
0.6%
20210317 55
 
0.5%
20210303 43
 
0.4%
20210217 42
 
0.4%
20210304 41
 
0.4%
20210311 40
 
0.4%
20210228 39
 
0.4%
20210422 38
 
0.4%
20210325 38
 
0.4%
Other values (134) 1270
 
12.7%
(Missing) 8244
82.4%
ValueCountFrequency (%)
20200114 1
 
< 0.1%
20210107 2
 
< 0.1%
20210108 1
 
< 0.1%
20210109 1
 
< 0.1%
20210110 2
 
< 0.1%
20210111 1
 
< 0.1%
20210112 3
 
< 0.1%
20210113 4
 
< 0.1%
20210114 18
0.2%
20210115 1
 
< 0.1%
ValueCountFrequency (%)
20291218 2
 
< 0.1%
20290410 1
 
< 0.1%
20250930 2
 
< 0.1%
20240827 1
 
< 0.1%
20230814 1
 
< 0.1%
20230731 3
 
< 0.1%
20230730 14
0.1%
20230324 1
 
< 0.1%
20220626 1
 
< 0.1%
20220531 1
 
< 0.1%

내외국인구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
내국인
9882 
외국인
 
118

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
내국인 9882
98.8%
외국인 118
 
1.2%

Length

2024-05-11T14:50:22.865132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:23.046410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내국인 9882
98.8%
외국인 118
 
1.2%

국적
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대한민국
9882 
<NA>
 
70
미국
 
26
캐나다
 
8
영국
 
3
Other values (8)
 
11

Length

Max length6
Median length4
Mean length3.9926
Min length2

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
대한민국 9882
98.8%
<NA> 70
 
0.7%
미국 26
 
0.3%
캐나다 8
 
0.1%
영국 3
 
< 0.1%
뉴질랜드 2
 
< 0.1%
베트남 2
 
< 0.1%
몽골 2
 
< 0.1%
중국 1
 
< 0.1%
우즈베키스탄 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

Length

2024-05-11T14:50:23.287349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 9882
98.8%
na 70
 
0.7%
미국 26
 
0.3%
캐나다 8
 
0.1%
영국 3
 
< 0.1%
뉴질랜드 2
 
< 0.1%
베트남 2
 
< 0.1%
몽골 2
 
< 0.1%
중국 1
 
< 0.1%
우즈베키스탄 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

Sample

시군구코드업종코드년도업소일련번호업종명허가신고일업소명소재지도로명소재지지번영업장면적(㎡)영업자시작일법인명법인번호소재지시작일행정동명폐업일자폐업구분폐업사유업태명지상_부터지상_까지지하_부터지하_까지총층수교육수료일자모범음식점여부급수시설업소위치종업원남종업원여급식소종류평균급식인원수최대급식인원수1일급식인원수일인당평균급식비운영형태영업장조리장면적(㎡)영업장객실면적(㎡)영업장무도장면적(㎡)영업장기타면적(㎡)업소내화장실면적(㎡)타업소공동화장실면적(㎡)영업장탈의실면적(㎡)영업장객석면적(㎡)작업장면적(㎡)검사실면적(㎡)진열(판매)대면적(㎡)창고(보관소)면적(㎡)허가(신고)번호조건부허가시작일조건부허가종료일내외국인구분국적
4723317000010420218휴게음식점20210208커피카사(coffee-kasa)서울특별시 금천구 남부순환로128길 72, 1층 102호 (독산동)서울특별시 금천구 독산동 896번지 26호<NA>20210208<NA><NA>20210208독산제1동20210423자진폐업<NA>커피숍<NA><NA><NA><NA><NA><NA>비대상<NA>지상<NA><NA><NA><NA><NA><NA><NA><NA>20.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3170000-104-2021-00008<NA><NA>내국인대한민국
37403020000101202134일반음식점20210129내가베이크서울특별시 용산구 후암로28길 60, 지1층 (후암동)서울특별시 용산구 후암동 303번지 5호<NA>20210129<NA><NA>20210129후암동20210923자진폐업<NA>기타<NA><NA>115<NA>비대상상수도전용<NA><NA><NA><NA><NA><NA><NA><NA><NA>8.0<NA><NA><NA><NA><NA><NA>10.0<NA><NA><NA><NA>3020000-101-2021-****4<NA><NA>내국인대한민국
1245308000010120215일반음식점20210112BHC 미아뉴타운점서울특별시 강북구 도봉로13길 55, 충영빌딩 (미아동)서울특별시 강북구 미아동 469번지 42호 충영빌딩<NA>20220318<NA><NA>20210112미아동20221117자진폐업<NA>호프/통닭<NA><NA><NA><NA><NA><NA>비대상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3080000-101-2021-****5<NA><NA>내국인대한민국
214321000010420211휴게음식점20210104(주)쿠킹프리서울특별시 서초구 청계산로 10, (주)농업유통 하나로마트 (양재동)서울특별시 서초구 양재동 230번지 (주)농업유통 하나로마트<NA>20210104주식회사 쿠킹프리134811057911220210104양재제1동20210115기타조건부기간 완료에 따른 폐업처리(자동폐업)기타 휴게음식점<NA><NA><NA><NA><NA><NA>비대상<NA>지상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3210000-104-2021-000012021010620210115내국인대한민국
20523220000134202161건강기능식품일반판매업20210118빼뽀네서울특별시 강남구 삼성로76길 23-6, 501호 (대치동)서울특별시 강남구 대치동 954번지 22호<NA>20210118<NA><NA>20210118대치1동<NA><NA><NA>전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA>비대상<NA>지상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3220000-134-2021-00061<NA><NA>내국인대한민국
984632100001342021118건강기능식품일반판매업20210318면역력연구소서울특별시 서초구 서초대로 275, 202호 (서초동)서울특별시 서초구 서초동 1716번지 4호 -202<NA>20210318<NA><NA>20210318서초제1동<NA><NA><NA>전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA>비대상<NA>지상2층이상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3210000-134-2021-00118<NA><NA>내국인대한민국
35163140000134202124건강기능식품일반판매업20210128하승만물상서울특별시 양천구 중앙로46길 59, 1층 (신정동)서울특별시 양천구 신정동 957번지 15호<NA>20210128<NA><NA>20210128신정4동20220531자진폐업영업부진전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA>비대상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3140000-134-2021-00024<NA><NA>내국인대한민국
22103220000101202158일반음식점20210119방앤권 에프엔비서울특별시 강남구 강남대로94길 28, 유니언타운 강남 지하2층 6호 (역삼동)서울특별시 강남구 역삼동 649번지 유니언타운 강남<NA>20211029<NA><NA>20210119역삼1동<NA><NA><NA>한식<NA><NA><NA><NA><NA><NA>비대상<NA>지하<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10.69<NA><NA><NA><NA><NA><NA><NA><NA>3220000-101-2021-****8<NA><NA>내국인대한민국
37183040000107202126즉석판매제조가공업20210129이솔채서울특별시 광진구 능동로 120, 건국대학교 쿨하우스 레이크홀 지하1층 (화양동)서울특별시 광진구 화양동 1번지 건국대학교<NA>20210129<NA><NA>20210129화양동20221222자진폐업<NA>즉석판매제조가공업<NA><NA><NA><NA><NA><NA>비대상<NA>지하<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3040000-107-2021-00026<NA><NA>내국인대한민국
37223020000101202130일반음식점20210129그라우하우스서울특별시 용산구 보광로 120-2, 1층 (이태원동)서울특별시 용산구 이태원동 131번지 44호67.5820221107주식회사 그라우하우스110111737202420221107이태원제1동<NA><NA><NA>한식22<NA><NA>2<NA>비대상상수도전용지상<NA><NA><NA><NA><NA><NA><NA><NA>10.00.000.00.00.0057.58<NA><NA><NA><NA>3020000-101-2021-****0<NA><NA>내국인대한민국
시군구코드업종코드년도업소일련번호업종명허가신고일업소명소재지도로명소재지지번영업장면적(㎡)영업자시작일법인명법인번호소재지시작일행정동명폐업일자폐업구분폐업사유업태명지상_부터지상_까지지하_부터지하_까지총층수교육수료일자모범음식점여부급수시설업소위치종업원남종업원여급식소종류평균급식인원수최대급식인원수1일급식인원수일인당평균급식비운영형태영업장조리장면적(㎡)영업장객실면적(㎡)영업장무도장면적(㎡)영업장기타면적(㎡)업소내화장실면적(㎡)타업소공동화장실면적(㎡)영업장탈의실면적(㎡)영업장객석면적(㎡)작업장면적(㎡)검사실면적(㎡)진열(판매)대면적(㎡)창고(보관소)면적(㎡)허가(신고)번호조건부허가시작일조건부허가종료일내외국인구분국적
667320000012120211제과점영업20210106GC 베이커리로컬(지씨베이커리로컬)서울특별시 관악구 난곡로 192, 1.2층 (신림동)서울특별시 관악구 신림동 620번지 5호<NA>20210106<NA><NA>20210106난곡동<NA><NA><NA>제과점영업12<NA><NA>3<NA>비대상상수도전용<NA><NA><NA><NA><NA><NA><NA><NA><NA>209.58<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3200000-121-2021-00001<NA><NA>내국인대한민국
22813040000104202112휴게음식점20210119씨유(CU)자양대박점서울특별시 광진구 자양번영로6길 68, 1층 (자양동)서울특별시 광진구 자양동 605번지 5호 1층<NA>20210119<NA><NA>20210119자양제2동<NA><NA><NA>편의점11<NA><NA><NA><NA>비대상<NA>지상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6.6<NA><NA><NA><NA>3040000-104-2021-00012<NA><NA>내국인대한민국
7317316000012020212위탁급식영업20210302가람푸드써비스(주)세종과학고서울특별시 구로구 오리로21길 79, 세종과학고등학교 (궁동)서울특별시 구로구 궁동 232번지 세종과학고등학교<NA>20210302가람푸드써비스(주)110111175451720210302수궁동20230224자진폐업<NA>위탁급식영업<NA><NA><NA><NA><NA><NA>비대상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>200.55<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3160000-120-2021-00002<NA><NA>내국인대한민국
987232200001042021156휴게음식점20210319(주)네이쳐키친 68호점서울특별시 강남구 언주로86길 11, 지하1층 6호 주방68호 (역삼동, 한화 진넥스빌)서울특별시 강남구 역삼동 706번지 20호 한화 진넥스빌<NA>20230113주식회사 네이쳐키친110111778050820210319역삼1동<NA><NA><NA>일반조리판매<NA><NA><NA><NA><NA><NA>비대상<NA>지하<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1.36<NA><NA><NA><NA><NA><NA><NA><NA>3220000-104-2021-00156<NA><NA>내국인대한민국
1227308000010720216즉석판매제조가공업20210111티제이푸드서울특별시 강북구 오현로32길 18, 이마트에브리데이 번동점 1층 (번동)서울특별시 강북구 번동 161번지 1호<NA>20210111<NA><NA>20210111번제1동20210120기타조건부기간 완료에 따른 폐업처리(자동폐업)즉석판매제조가공업<NA><NA><NA><NA><NA><NA>비대상<NA>지상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3080000-107-2021-000062021011420210120내국인대한민국
1293631500001342021191건강기능식품일반판매업20210412사라몰서울특별시 강서구 초록마을로14길 21, 3층 302호 (화곡동, 진우하이빌)서울특별시 강서구 화곡동 56번지 475호 진우하이빌-302<NA>20210412<NA><NA>20210412화곡본동20221128자진폐업사업자폐업전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA>비대상<NA>지상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3150000-134-2021-00191<NA><NA>내국인대한민국
1830302000012120211제과점영업20210115레드애플용산아이파크몰점서울특별시 용산구 한강대로23길 55, 아이파크몰 6층 (한강로3가)서울특별시 용산구 한강로3가 40번지 999호 용산역<NA>20210115주식회사 레드애플120111094649420210115한강로동20220629자진폐업<NA>제과점영업66<NA><NA>12<NA>비대상상수도전용지상<NA><NA><NA><NA><NA><NA><NA><NA>26.0<NA><NA><NA><NA><NA><NA>39.0<NA><NA><NA><NA>3020000-121-2021-00001<NA><NA>내국인대한민국
675232200001342021775건강기능식품일반판매업20210224어반랩스(주)서울특별시 강남구 테헤란로13길 24, 4층 (역삼동)서울특별시 강남구 역삼동 637번지 2호33.020210224어반랩스주식회사134111053182720230206역삼1동<NA><NA><NA>전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA>비대상<NA>지상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33.00.00.0<NA><NA>0.000.00.03220000-134-2021-00775<NA><NA>내국인대한민국
657322000011320215유통전문판매업20210106주식회사 엄마의부뚜막서울특별시 강남구 도산대로1길 40, 3층 (신사동)서울특별시 강남구 신사동 507번지 11호<NA>20220121주식회사 엄마의부뚜막110111763018320210106신사동<NA><NA><NA>유통전문판매업<NA><NA><NA><NA><NA><NA>비대상<NA>지상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>186.99<NA><NA><NA><NA><NA><NA><NA><NA>3220000-113-2021-00005<NA><NA>내국인대한민국
1226631400001072021143즉석판매제조가공업20210406룰루서울특별시 양천구 목동동로 257, 지하2층 (목동, 현대하이페리온)서울특별시 양천구 목동 916번지 현대하이페리온<NA>20210406<NA><NA>20210406목1동20210507기타조건부기간 완료에 따른 폐업처리(자동폐업)즉석판매제조가공업<NA><NA><NA><NA><NA><NA>비대상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3140000-107-2021-001432021040820210507내국인대한민국