Overview

Dataset statistics

Number of variables44
Number of observations1883
Missing cells23410
Missing cells (%)28.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory689.7 KiB
Average record size in memory375.1 B

Variable types

Numeric11
Text7
DateTime4
Unsupported6
Categorical15
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16080/S/1/datasetView.do

Alerts

업태구분명 is highly imbalanced (99.3%)Imbalance
영업장주변구분명 is highly imbalanced (66.1%)Imbalance
등급구분명 is highly imbalanced (70.0%)Imbalance
급수시설구분명 is highly imbalanced (53.0%)Imbalance
총인원 is highly imbalanced (62.2%)Imbalance
공장사무직종업원수 is highly imbalanced (56.8%)Imbalance
다중이용업소여부 is highly imbalanced (99.2%)Imbalance
홈페이지 is highly imbalanced (99.2%)Imbalance
인허가취소일자 has 1883 (100.0%) missing valuesMissing
폐업일자 has 701 (37.2%) missing valuesMissing
휴업시작일자 has 1883 (100.0%) missing valuesMissing
휴업종료일자 has 1883 (100.0%) missing valuesMissing
재개업일자 has 1883 (100.0%) missing valuesMissing
전화번호 has 313 (16.6%) missing valuesMissing
소재지면적 has 131 (7.0%) missing valuesMissing
도로명주소 has 619 (32.9%) missing valuesMissing
도로명우편번호 has 634 (33.7%) missing valuesMissing
좌표정보(X) has 53 (2.8%) missing valuesMissing
좌표정보(Y) has 53 (2.8%) missing valuesMissing
남성종사자수 has 1518 (80.6%) missing valuesMissing
여성종사자수 has 1527 (81.1%) missing valuesMissing
본사종업원수 has 1157 (61.4%) missing valuesMissing
공장판매직종업원수 has 1149 (61.0%) missing valuesMissing
보증액 has 1656 (87.9%) missing valuesMissing
월세액 has 1655 (87.9%) missing valuesMissing
다중이용업소여부 has 467 (24.8%) missing valuesMissing
시설총규모 has 467 (24.8%) missing valuesMissing
전통업소지정번호 has 1883 (100.0%) missing valuesMissing
전통업소주된음식 has 1883 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 278 (14.8%) zerosZeros
여성종사자수 has 286 (15.2%) zerosZeros
본사종업원수 has 718 (38.1%) zerosZeros
공장판매직종업원수 has 717 (38.1%) zerosZeros
보증액 has 214 (11.4%) zerosZeros
월세액 has 214 (11.4%) zerosZeros
시설총규모 has 1284 (68.2%) zerosZeros

Reproduction

Analysis started2024-04-29 18:51:30.510017
Analysis finished2024-04-29 18:51:31.787643
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3139585.8
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2024-04-30T03:51:31.853469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3030000
Q13090000
median3140000
Q33210000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)120000

Descriptive statistics

Standard deviation68204.064
Coefficient of variation (CV)0.021723905
Kurtosis-1.1162358
Mean3139585.8
Median Absolute Deviation (MAD)60000
Skewness-0.19950103
Sum5.91184 × 109
Variance4.6517943 × 109
MonotonicityNot monotonic
2024-04-30T03:51:31.964176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3230000 136
 
7.2%
3220000 127
 
6.7%
3210000 122
 
6.5%
3150000 121
 
6.4%
3100000 116
 
6.2%
3140000 111
 
5.9%
3240000 93
 
4.9%
3070000 86
 
4.6%
3050000 85
 
4.5%
3180000 82
 
4.4%
Other values (15) 804
42.7%
ValueCountFrequency (%)
3000000 29
 
1.5%
3010000 33
 
1.8%
3020000 23
 
1.2%
3030000 43
2.3%
3040000 56
3.0%
3050000 85
4.5%
3060000 65
3.5%
3070000 86
4.6%
3080000 45
2.4%
3090000 76
4.0%
ValueCountFrequency (%)
3240000 93
4.9%
3230000 136
7.2%
3220000 127
6.7%
3210000 122
6.5%
3200000 70
3.7%
3190000 64
3.4%
3180000 82
4.4%
3170000 37
 
2.0%
3160000 70
3.7%
3150000 121
6.4%

관리번호
Text

UNIQUE 

Distinct1883
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2024-04-30T03:51:32.135655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters41426
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1883 ?
Unique (%)100.0%

Sample

1st row3080000-114-2006-00001
2nd row3220000-114-1990-00134
3rd row3230000-114-2023-00001
4th row3140000-114-2016-00004
5th row3230000-114-2011-00004
ValueCountFrequency (%)
3080000-114-2006-00001 1
 
0.1%
3180000-114-2008-00005 1
 
0.1%
3180000-114-2021-00004 1
 
0.1%
3180000-114-2022-00001 1
 
0.1%
3180000-114-2004-00003 1
 
0.1%
3180000-114-2009-00006 1
 
0.1%
3180000-114-2017-00004 1
 
0.1%
3180000-114-2018-00002 1
 
0.1%
3180000-114-2017-00005 1
 
0.1%
3180000-114-2018-00001 1
 
0.1%
Other values (1873) 1873
99.5%
2024-04-30T03:51:32.424752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17377
41.9%
1 6685
 
16.1%
- 5649
 
13.6%
2 3090
 
7.5%
3 2630
 
6.3%
4 2591
 
6.3%
9 1260
 
3.0%
6 637
 
1.5%
5 586
 
1.4%
7 491
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35777
86.4%
Dash Punctuation 5649
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17377
48.6%
1 6685
 
18.7%
2 3090
 
8.6%
3 2630
 
7.4%
4 2591
 
7.2%
9 1260
 
3.5%
6 637
 
1.8%
5 586
 
1.6%
7 491
 
1.4%
8 430
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 5649
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41426
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17377
41.9%
1 6685
 
16.1%
- 5649
 
13.6%
2 3090
 
7.5%
3 2630
 
6.3%
4 2591
 
6.3%
9 1260
 
3.0%
6 637
 
1.5%
5 586
 
1.4%
7 491
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17377
41.9%
1 6685
 
16.1%
- 5649
 
13.6%
2 3090
 
7.5%
3 2630
 
6.3%
4 2591
 
6.3%
9 1260
 
3.0%
6 637
 
1.5%
5 586
 
1.4%
7 491
 
1.2%
Distinct1543
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
Minimum1985-11-11 00:00:00
Maximum2024-03-28 00:00:00
2024-04-30T03:51:32.553958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:51:32.680654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1883
Missing (%)100.0%
Memory size16.7 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
3
1182 
1
701 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 1182
62.8%
1 701
37.2%

Length

2024-04-30T03:51:32.785015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:32.882513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1182
62.8%
1 701
37.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
폐업
1182 
영업/정상
701 

Length

Max length5
Median length2
Mean length3.1168348
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 1182
62.8%
영업/정상 701
37.2%

Length

2024-04-30T03:51:32.997328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:33.091190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1182
62.8%
영업/정상 701
37.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2
1182 
1
701 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 1182
62.8%
1 701
37.2%

Length

2024-04-30T03:51:33.196385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:33.277876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1182
62.8%
1 701
37.2%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
폐업
1182 
영업
701 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업
3rd row영업
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
폐업 1182
62.8%
영업 701
37.2%

Length

2024-04-30T03:51:33.361022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:33.455616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1182
62.8%
영업 701
37.2%

폐업일자
Date

MISSING 

Distinct1045
Distinct (%)88.4%
Missing701
Missing (%)37.2%
Memory size14.8 KiB
Minimum1994-01-04 00:00:00
Maximum2024-04-16 00:00:00
2024-04-30T03:51:33.553053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:51:33.659587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1883
Missing (%)100.0%
Memory size16.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1883
Missing (%)100.0%
Memory size16.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1883
Missing (%)100.0%
Memory size16.7 KiB

전화번호
Text

MISSING 

Distinct1436
Distinct (%)91.5%
Missing313
Missing (%)16.6%
Memory size14.8 KiB
2024-04-30T03:51:33.896958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.294268
Min length2

Characters and Unicode

Total characters16162
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1347 ?
Unique (%)85.8%

Sample

1st row9081002
2nd row02 34494029
3rd row0215226333
4th row02 30107726
5th row02 26432211
ValueCountFrequency (%)
02 1117
37.7%
380 12
 
0.4%
0 12
 
0.4%
4400783 7
 
0.2%
428 5
 
0.2%
5601 5
 
0.2%
388 5
 
0.2%
070 4
 
0.1%
2500 4
 
0.1%
426 4
 
0.1%
Other values (1587) 1784
60.3%
2024-04-30T03:51:34.228442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2910
18.0%
2 2878
17.8%
1854
11.5%
3 1242
7.7%
5 1143
 
7.1%
4 1127
 
7.0%
6 1105
 
6.8%
9 1025
 
6.3%
8 1022
 
6.3%
1 1013
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14308
88.5%
Space Separator 1854
 
11.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2910
20.3%
2 2878
20.1%
3 1242
8.7%
5 1143
 
8.0%
4 1127
 
7.9%
6 1105
 
7.7%
9 1025
 
7.2%
8 1022
 
7.1%
1 1013
 
7.1%
7 843
 
5.9%
Space Separator
ValueCountFrequency (%)
1854
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16162
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2910
18.0%
2 2878
17.8%
1854
11.5%
3 1242
7.7%
5 1143
 
7.1%
4 1127
 
7.0%
6 1105
 
6.8%
9 1025
 
6.3%
8 1022
 
6.3%
1 1013
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2910
18.0%
2 2878
17.8%
1854
11.5%
3 1242
7.7%
5 1143
 
7.1%
4 1127
 
7.0%
6 1105
 
6.8%
9 1025
 
6.3%
8 1022
 
6.3%
1 1013
 
6.3%

소재지면적
Text

MISSING 

Distinct1324
Distinct (%)75.6%
Missing131
Missing (%)7.0%
Memory size14.8 KiB
2024-04-30T03:51:34.500491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.1495434
Min length3

Characters and Unicode

Total characters10774
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1167 ?
Unique (%)66.6%

Sample

1st row309.00
2nd row845.00
3rd row444.00
4th row1292.00
5th row618.80
ValueCountFrequency (%)
00 80
 
4.6%
330.00 21
 
1.2%
660.00 16
 
0.9%
495.00 13
 
0.7%
350.00 13
 
0.7%
396.00 11
 
0.6%
825.00 10
 
0.6%
990.00 8
 
0.5%
360.00 8
 
0.5%
430.00 8
 
0.5%
Other values (1314) 1564
89.3%
2024-04-30T03:51:34.894865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2368
22.0%
. 1752
16.3%
3 950
8.8%
5 825
 
7.7%
4 823
 
7.6%
6 751
 
7.0%
1 672
 
6.2%
8 617
 
5.7%
7 616
 
5.7%
9 609
 
5.7%
Other values (2) 791
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8835
82.0%
Other Punctuation 1939
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2368
26.8%
3 950
10.8%
5 825
 
9.3%
4 823
 
9.3%
6 751
 
8.5%
1 672
 
7.6%
8 617
 
7.0%
7 616
 
7.0%
9 609
 
6.9%
2 604
 
6.8%
Other Punctuation
ValueCountFrequency (%)
. 1752
90.4%
, 187
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common 10774
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2368
22.0%
. 1752
16.3%
3 950
8.8%
5 825
 
7.7%
4 823
 
7.6%
6 751
 
7.0%
1 672
 
6.2%
8 617
 
5.7%
7 616
 
5.7%
9 609
 
5.7%
Other values (2) 791
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10774
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2368
22.0%
. 1752
16.3%
3 950
8.8%
5 825
 
7.7%
4 823
 
7.6%
6 751
 
7.0%
1 672
 
6.2%
8 617
 
5.7%
7 616
 
5.7%
9 609
 
5.7%
Other values (2) 791
 
7.3%
Distinct1051
Distinct (%)56.0%
Missing6
Missing (%)0.3%
Memory size14.8 KiB
2024-04-30T03:51:35.212603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1795418
Min length6

Characters and Unicode

Total characters11599
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique631 ?
Unique (%)33.6%

Sample

1st row142-868
2nd row135-906
3rd row138-888
4th row158-831
5th row138-736
ValueCountFrequency (%)
158070 11
 
0.6%
139816 9
 
0.5%
134830 8
 
0.4%
139837 8
 
0.4%
137859 8
 
0.4%
157930 7
 
0.4%
157847 7
 
0.4%
130842 7
 
0.4%
134890 7
 
0.4%
130864 7
 
0.4%
Other values (1041) 1798
95.8%
2024-04-30T03:51:35.649374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2606
22.5%
8 1794
15.5%
3 1451
12.5%
0 1184
10.2%
5 1083
9.3%
2 858
 
7.4%
7 609
 
5.3%
4 593
 
5.1%
9 557
 
4.8%
6 527
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11262
97.1%
Dash Punctuation 337
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2606
23.1%
8 1794
15.9%
3 1451
12.9%
0 1184
10.5%
5 1083
9.6%
2 858
 
7.6%
7 609
 
5.4%
4 593
 
5.3%
9 557
 
4.9%
6 527
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 337
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11599
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2606
22.5%
8 1794
15.5%
3 1451
12.5%
0 1184
10.2%
5 1083
9.3%
2 858
 
7.4%
7 609
 
5.3%
4 593
 
5.1%
9 557
 
4.8%
6 527
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11599
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2606
22.5%
8 1794
15.5%
3 1451
12.5%
0 1184
10.2%
5 1083
9.3%
2 858
 
7.4%
7 609
 
5.3%
4 593
 
5.1%
9 557
 
4.8%
6 527
 
4.5%
Distinct1758
Distinct (%)93.7%
Missing6
Missing (%)0.3%
Memory size14.8 KiB
2024-04-30T03:51:35.930820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length60
Mean length26.083111
Min length14

Characters and Unicode

Total characters48958
Distinct characters424
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1655 ?
Unique (%)88.2%

Sample

1st row서울특별시 강북구 번동 463-1
2nd row서울특별시 강남구 압구정동 494
3rd row서울특별시 송파구 문정동 618 파크하비오
4th row서울특별시 양천구 신월동 217-21
5th row서울특별시 송파구 풍납동 388-1 서울아산병원 동관 지하1층
ValueCountFrequency (%)
서울특별시 1877
 
19.8%
1층 202
 
2.1%
지하1층 179
 
1.9%
송파구 135
 
1.4%
강남구 127
 
1.3%
서초구 122
 
1.3%
강서구 121
 
1.3%
노원구 116
 
1.2%
양천구 111
 
1.2%
강동구 93
 
1.0%
Other values (2540) 6407
67.5%
2024-04-30T03:51:36.354879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8978
18.3%
1 2850
 
5.8%
2346
 
4.8%
2250
 
4.6%
2004
 
4.1%
1940
 
4.0%
1890
 
3.9%
1878
 
3.8%
1877
 
3.8%
- 1481
 
3.0%
Other values (414) 21464
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27744
56.7%
Decimal Number 9793
 
20.0%
Space Separator 8978
 
18.3%
Dash Punctuation 1481
 
3.0%
Other Punctuation 307
 
0.6%
Open Punctuation 207
 
0.4%
Close Punctuation 207
 
0.4%
Uppercase Letter 181
 
0.4%
Math Symbol 55
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2346
 
8.5%
2250
 
8.1%
2004
 
7.2%
1940
 
7.0%
1890
 
6.8%
1878
 
6.8%
1877
 
6.8%
688
 
2.5%
661
 
2.4%
409
 
1.5%
Other values (370) 11801
42.5%
Uppercase Letter
ValueCountFrequency (%)
B 98
54.1%
A 22
 
12.2%
N 7
 
3.9%
S 6
 
3.3%
P 6
 
3.3%
C 6
 
3.3%
K 5
 
2.8%
H 5
 
2.8%
T 4
 
2.2%
D 4
 
2.2%
Other values (8) 18
 
9.9%
Decimal Number
ValueCountFrequency (%)
1 2850
29.1%
2 1122
 
11.5%
0 980
 
10.0%
3 910
 
9.3%
4 750
 
7.7%
5 746
 
7.6%
6 734
 
7.5%
7 590
 
6.0%
8 563
 
5.7%
9 548
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 283
92.2%
. 12
 
3.9%
/ 4
 
1.3%
? 3
 
1.0%
@ 3
 
1.0%
: 2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 198
95.7%
[ 9
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 198
95.7%
] 9
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
8978
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1481
100.0%
Math Symbol
ValueCountFrequency (%)
~ 55
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27744
56.7%
Common 21031
43.0%
Latin 183
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2346
 
8.5%
2250
 
8.1%
2004
 
7.2%
1940
 
7.0%
1890
 
6.8%
1878
 
6.8%
1877
 
6.8%
688
 
2.5%
661
 
2.4%
409
 
1.5%
Other values (370) 11801
42.5%
Common
ValueCountFrequency (%)
8978
42.7%
1 2850
 
13.6%
- 1481
 
7.0%
2 1122
 
5.3%
0 980
 
4.7%
3 910
 
4.3%
4 750
 
3.6%
5 746
 
3.5%
6 734
 
3.5%
7 590
 
2.8%
Other values (14) 1890
 
9.0%
Latin
ValueCountFrequency (%)
B 98
53.6%
A 22
 
12.0%
N 7
 
3.8%
S 6
 
3.3%
P 6
 
3.3%
C 6
 
3.3%
K 5
 
2.7%
H 5
 
2.7%
T 4
 
2.2%
D 4
 
2.2%
Other values (10) 20
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27744
56.7%
ASCII 21211
43.3%
CJK Compat 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8978
42.3%
1 2850
 
13.4%
- 1481
 
7.0%
2 1122
 
5.3%
0 980
 
4.6%
3 910
 
4.3%
4 750
 
3.5%
5 746
 
3.5%
6 734
 
3.5%
7 590
 
2.8%
Other values (33) 2070
 
9.8%
Hangul
ValueCountFrequency (%)
2346
 
8.5%
2250
 
8.1%
2004
 
7.2%
1940
 
7.0%
1890
 
6.8%
1878
 
6.8%
1877
 
6.8%
688
 
2.5%
661
 
2.4%
409
 
1.5%
Other values (370) 11801
42.5%
CJK Compat
ValueCountFrequency (%)
3
100.0%

도로명주소
Text

MISSING 

Distinct1235
Distinct (%)97.7%
Missing619
Missing (%)32.9%
Memory size14.8 KiB
2024-04-30T03:51:36.679877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length63
Mean length34.879747
Min length21

Characters and Unicode

Total characters44088
Distinct characters456
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1209 ?
Unique (%)95.6%

Sample

1st row서울특별시 강북구 도봉로96길 12 (번동)
2nd row서울특별시 강남구 압구정로 343 (압구정동)
3rd row서울특별시 송파구 송파대로 111, 하비오길동 1층 호텔로 202동 137~144호 (문정동, 파크하비오)
4th row서울특별시 양천구 곰달래로2길 46, 1,2층 (신월동)
5th row서울특별시 송파구 올림픽로43길 88 (풍납동,서울아산병원 동관 지하1층)
ValueCountFrequency (%)
서울특별시 1264
 
15.4%
1층 260
 
3.2%
지하1층 201
 
2.4%
강남구 100
 
1.2%
송파구 96
 
1.2%
강서구 76
 
0.9%
서초구 75
 
0.9%
노원구 75
 
0.9%
강동구 67
 
0.8%
양천구 64
 
0.8%
Other values (2331) 5946
72.3%
2024-04-30T03:51:37.140541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6969
 
15.8%
1 2328
 
5.3%
1790
 
4.1%
, 1634
 
3.7%
1581
 
3.6%
1379
 
3.1%
1352
 
3.1%
( 1350
 
3.1%
) 1349
 
3.1%
1330
 
3.0%
Other values (446) 23026
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25345
57.5%
Decimal Number 7002
 
15.9%
Space Separator 6969
 
15.8%
Other Punctuation 1649
 
3.7%
Open Punctuation 1355
 
3.1%
Close Punctuation 1354
 
3.1%
Uppercase Letter 200
 
0.5%
Dash Punctuation 119
 
0.3%
Math Symbol 92
 
0.2%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1790
 
7.1%
1581
 
6.2%
1379
 
5.4%
1352
 
5.3%
1330
 
5.2%
1278
 
5.0%
1264
 
5.0%
1264
 
5.0%
868
 
3.4%
653
 
2.6%
Other values (404) 12586
49.7%
Uppercase Letter
ValueCountFrequency (%)
B 126
63.0%
A 14
 
7.0%
C 9
 
4.5%
S 7
 
3.5%
G 6
 
3.0%
K 6
 
3.0%
F 5
 
2.5%
H 5
 
2.5%
N 5
 
2.5%
L 4
 
2.0%
Other values (8) 13
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 2328
33.2%
2 949
13.6%
0 720
 
10.3%
3 652
 
9.3%
4 471
 
6.7%
5 466
 
6.7%
6 397
 
5.7%
7 365
 
5.2%
9 337
 
4.8%
8 317
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 1634
99.1%
. 10
 
0.6%
? 2
 
0.1%
/ 2
 
0.1%
@ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1350
99.6%
[ 5
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 1349
99.6%
] 5
 
0.4%
Space Separator
ValueCountFrequency (%)
6969
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%
Math Symbol
ValueCountFrequency (%)
~ 92
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25345
57.5%
Common 18542
42.1%
Latin 201
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1790
 
7.1%
1581
 
6.2%
1379
 
5.4%
1352
 
5.3%
1330
 
5.2%
1278
 
5.0%
1264
 
5.0%
1264
 
5.0%
868
 
3.4%
653
 
2.6%
Other values (404) 12586
49.7%
Common
ValueCountFrequency (%)
6969
37.6%
1 2328
 
12.6%
, 1634
 
8.8%
( 1350
 
7.3%
) 1349
 
7.3%
2 949
 
5.1%
0 720
 
3.9%
3 652
 
3.5%
4 471
 
2.5%
5 466
 
2.5%
Other values (13) 1654
 
8.9%
Latin
ValueCountFrequency (%)
B 126
62.7%
A 14
 
7.0%
C 9
 
4.5%
S 7
 
3.5%
G 6
 
3.0%
K 6
 
3.0%
F 5
 
2.5%
H 5
 
2.5%
N 5
 
2.5%
L 4
 
2.0%
Other values (9) 14
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25345
57.5%
ASCII 18741
42.5%
CJK Compat 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6969
37.2%
1 2328
 
12.4%
, 1634
 
8.7%
( 1350
 
7.2%
) 1349
 
7.2%
2 949
 
5.1%
0 720
 
3.8%
3 652
 
3.5%
4 471
 
2.5%
5 466
 
2.5%
Other values (31) 1853
 
9.9%
Hangul
ValueCountFrequency (%)
1790
 
7.1%
1581
 
6.2%
1379
 
5.4%
1352
 
5.3%
1330
 
5.2%
1278
 
5.0%
1264
 
5.0%
1264
 
5.0%
868
 
3.4%
653
 
2.6%
Other values (404) 12586
49.7%
CJK Compat
ValueCountFrequency (%)
2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct897
Distinct (%)71.8%
Missing634
Missing (%)33.7%
Infinite0
Infinite (%)0.0%
Mean5156.4323
Minimum1011
Maximum8861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2024-04-30T03:51:37.433034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1011
5-th percentile1394.4
Q13168
median5404
Q37065
95-th percentile8512.2
Maximum8861
Range7850
Interquartile range (IQR)3897

Descriptive statistics

Standard deviation2276.8666
Coefficient of variation (CV)0.44155851
Kurtosis-1.1593165
Mean5156.4323
Median Absolute Deviation (MAD)1936
Skewness-0.19810814
Sum6440384
Variance5184121.5
MonotonicityNot monotonic
2024-04-30T03:51:37.561301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5404 6
 
0.3%
7777 6
 
0.3%
5699 5
 
0.3%
2721 5
 
0.3%
4968 5
 
0.3%
1319 4
 
0.2%
2625 4
 
0.2%
2751 4
 
0.2%
3008 4
 
0.2%
6376 4
 
0.2%
Other values (887) 1202
63.8%
(Missing) 634
33.7%
ValueCountFrequency (%)
1011 1
0.1%
1041 1
0.1%
1056 1
0.1%
1063 1
0.1%
1066 1
0.1%
1076 1
0.1%
1080 1
0.1%
1081 1
0.1%
1090 1
0.1%
1100 2
0.1%
ValueCountFrequency (%)
8861 1
0.1%
8860 1
0.1%
8856 2
0.1%
8849 1
0.1%
8848 1
0.1%
8846 2
0.1%
8838 1
0.1%
8812 1
0.1%
8808 1
0.1%
8806 1
0.1%
Distinct1646
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2024-04-30T03:51:37.843047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length9.0175252
Min length2

Characters and Unicode

Total characters16980
Distinct characters476
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

Unique1519 ?
Unique (%)80.7%

Sample

1st rowS-마트 번1동점
2nd row한화갤러리아(주) 명품관
3rd row지에스더프레시 송파하비오점
4th row식자재왕 도매마트
5th row현대그린푸드 H마트 서울아산병원점
ValueCountFrequency (%)
주)이마트에브리데이 62
 
2.4%
주식회사 45
 
1.8%
롯데쇼핑(주)롯데슈퍼 31
 
1.2%
주)지에스리테일 27
 
1.1%
진로마트 25
 
1.0%
마트 24
 
0.9%
하나로마트 21
 
0.8%
롯데슈퍼 20
 
0.8%
롯데쇼핑(주 19
 
0.7%
주)이마트 18
 
0.7%
Other values (1706) 2274
88.6%
2024-04-30T03:51:38.220057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1198
 
7.1%
1127
 
6.6%
) 796
 
4.7%
794
 
4.7%
( 785
 
4.6%
684
 
4.0%
681
 
4.0%
360
 
2.1%
345
 
2.0%
293
 
1.7%
Other values (466) 9917
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14343
84.5%
Close Punctuation 796
 
4.7%
Open Punctuation 785
 
4.6%
Space Separator 684
 
4.0%
Uppercase Letter 202
 
1.2%
Decimal Number 94
 
0.6%
Lowercase Letter 47
 
0.3%
Dash Punctuation 19
 
0.1%
Other Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1198
 
8.4%
1127
 
7.9%
794
 
5.5%
681
 
4.7%
360
 
2.5%
345
 
2.4%
293
 
2.0%
231
 
1.6%
230
 
1.6%
209
 
1.5%
Other values (412) 8875
61.9%
Uppercase Letter
ValueCountFrequency (%)
S 57
28.2%
G 49
24.3%
K 14
 
6.9%
C 9
 
4.5%
E 7
 
3.5%
L 6
 
3.0%
M 6
 
3.0%
D 6
 
3.0%
H 6
 
3.0%
O 5
 
2.5%
Other values (13) 37
18.3%
Lowercase Letter
ValueCountFrequency (%)
r 9
19.1%
e 7
14.9%
t 7
14.9%
a 6
12.8%
m 4
8.5%
s 3
 
6.4%
u 2
 
4.3%
h 2
 
4.3%
f 2
 
4.3%
k 2
 
4.3%
Other values (3) 3
 
6.4%
Decimal Number
ValueCountFrequency (%)
2 29
30.9%
1 14
14.9%
3 12
12.8%
5 11
 
11.7%
0 10
 
10.6%
4 6
 
6.4%
6 5
 
5.3%
9 4
 
4.3%
7 2
 
2.1%
8 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 7
70.0%
& 1
 
10.0%
? 1
 
10.0%
@ 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 796
100.0%
Open Punctuation
ValueCountFrequency (%)
( 785
100.0%
Space Separator
ValueCountFrequency (%)
684
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14343
84.5%
Common 2388
 
14.1%
Latin 249
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1198
 
8.4%
1127
 
7.9%
794
 
5.5%
681
 
4.7%
360
 
2.5%
345
 
2.4%
293
 
2.0%
231
 
1.6%
230
 
1.6%
209
 
1.5%
Other values (412) 8875
61.9%
Latin
ValueCountFrequency (%)
S 57
22.9%
G 49
19.7%
K 14
 
5.6%
C 9
 
3.6%
r 9
 
3.6%
e 7
 
2.8%
t 7
 
2.8%
E 7
 
2.8%
L 6
 
2.4%
M 6
 
2.4%
Other values (26) 78
31.3%
Common
ValueCountFrequency (%)
) 796
33.3%
( 785
32.9%
684
28.6%
2 29
 
1.2%
- 19
 
0.8%
1 14
 
0.6%
3 12
 
0.5%
5 11
 
0.5%
0 10
 
0.4%
. 7
 
0.3%
Other values (8) 21
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14343
84.5%
ASCII 2637
 
15.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1198
 
8.4%
1127
 
7.9%
794
 
5.5%
681
 
4.7%
360
 
2.5%
345
 
2.4%
293
 
2.0%
231
 
1.6%
230
 
1.6%
209
 
1.5%
Other values (412) 8875
61.9%
ASCII
ValueCountFrequency (%)
) 796
30.2%
( 785
29.8%
684
25.9%
S 57
 
2.2%
G 49
 
1.9%
2 29
 
1.1%
- 19
 
0.7%
1 14
 
0.5%
K 14
 
0.5%
3 12
 
0.5%
Other values (44) 178
 
6.8%
Distinct1739
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
Minimum1999-03-12 00:00:00
Maximum2024-04-25 17:45:01
2024-04-30T03:51:38.345886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:51:38.482584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
I
1145 
U
738 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowU
3rd rowI
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
I 1145
60.8%
U 738
39.2%

Length

2024-04-30T03:51:38.597479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:38.693374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1145
60.8%
u 738
39.2%
Distinct544
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T03:51:38.782370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:51:38.894933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
기타식품판매업
1882 
즉석판매제조가공업
 
1

Length

Max length9
Median length7
Mean length7.0010621
Min length7

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 1882
99.9%
즉석판매제조가공업 1
 
0.1%

Length

2024-04-30T03:51:39.023709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:39.116963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 1882
99.9%
즉석판매제조가공업 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1255
Distinct (%)68.6%
Missing53
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean199547.53
Minimum182141.21
Maximum215426.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2024-04-30T03:51:39.211644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182141.21
5-th percentile186065.68
Q1192567.4
median201501.57
Q3205865.69
95-th percentile211746.88
Maximum215426.03
Range33284.823
Interquartile range (IQR)13298.285

Descriptive statistics

Standard deviation8101.5301
Coefficient of variation (CV)0.040599501
Kurtosis-1.0516004
Mean199547.53
Median Absolute Deviation (MAD)6258.6926
Skewness-0.24048918
Sum3.6517198 × 108
Variance65634790
MonotonicityNot monotonic
2024-04-30T03:51:39.329914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186332.679945287 8
 
0.4%
198791.788015494 6
 
0.3%
192998.202204135 6
 
0.3%
202807.230907617 6
 
0.3%
211838.35431041 6
 
0.3%
198067.192272209 6
 
0.3%
186990.07041522 6
 
0.3%
209790.959909032 5
 
0.3%
208658.077732594 5
 
0.3%
205208.167449959 4
 
0.2%
Other values (1245) 1772
94.1%
(Missing) 53
 
2.8%
ValueCountFrequency (%)
182141.205465089 1
 
0.1%
182524.823835629 2
0.1%
182876.367858149 1
 
0.1%
182944.731406147 1
 
0.1%
183124.298223484 3
0.2%
183243.468631316 2
0.1%
183278.3703236 1
 
0.1%
183307.197874057 2
0.1%
183315.556652953 3
0.2%
183335.766091399 1
 
0.1%
ValueCountFrequency (%)
215426.028109 1
 
0.1%
215303.913311463 1
 
0.1%
215254.0 1
 
0.1%
215008.531272849 1
 
0.1%
214864.638202048 1
 
0.1%
214860.734709632 1
 
0.1%
214761.228719522 1
 
0.1%
214293.085340515 3
0.2%
213873.895223193 3
0.2%
213700.877714971 2
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1254
Distinct (%)68.5%
Missing53
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean449766.66
Minimum438266.71
Maximum464814.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2024-04-30T03:51:39.459682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438266.71
5-th percentile441842.69
Q1444596.45
median448913.52
Q3454230.28
95-th percentile461456.93
Maximum464814.72
Range26548.008
Interquartile range (IQR)9633.8224

Descriptive statistics

Standard deviation6101.087
Coefficient of variation (CV)0.013565005
Kurtosis-0.71484187
Mean449766.66
Median Absolute Deviation (MAD)4604.4908
Skewness0.47340046
Sum8.2307299 × 108
Variance37223263
MonotonicityNot monotonic
2024-04-30T03:51:39.577858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447538.027901623 8
 
0.4%
457479.99522553 6
 
0.3%
444392.672548989 6
 
0.3%
441802.715363061 6
 
0.3%
461791.719629655 6
 
0.3%
446176.810389121 6
 
0.3%
447195.676766748 6
 
0.3%
443481.212174317 5
 
0.3%
454894.790220198 5
 
0.3%
449413.151252613 4
 
0.2%
Other values (1244) 1772
94.1%
(Missing) 53
 
2.8%
ValueCountFrequency (%)
438266.70898504 1
0.1%
438360.612274203 1
0.1%
438436.109390506 1
0.1%
438492.594496018 1
0.1%
438580.148239494 2
0.1%
438690.814038292 1
0.1%
438699.77460936 2
0.1%
438834.378061101 2
0.1%
438865.160717275 1
0.1%
439029.959102177 1
0.1%
ValueCountFrequency (%)
464814.717432497 1
 
0.1%
464597.202705501 1
 
0.1%
464552.486156478 3
0.2%
464487.617817484 1
 
0.1%
464463.403607965 1
 
0.1%
463966.29285643 1
 
0.1%
463892.861101303 1
 
0.1%
463745.952218533 1
 
0.1%
463532.934877533 1
 
0.1%
463432.221471752 1
 
0.1%

위생업태명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
기타식품판매업
1415 
<NA>
467 
즉석판매제조가공업
 
1

Length

Max length9
Median length7
Mean length6.2570366
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 1415
75.1%
<NA> 467
 
24.8%
즉석판매제조가공업 1
 
0.1%

Length

2024-04-30T03:51:39.702786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:39.798280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 1415
75.1%
na 467
 
24.8%
즉석판매제조가공업 1
 
0.1%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.8%
Missing1518
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean1.0273973
Minimum0
Maximum20
Zeros278
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2024-04-30T03:51:39.889735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.8
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6507961
Coefficient of variation (CV)2.5801082
Kurtosis14.612966
Mean1.0273973
Median Absolute Deviation (MAD)0
Skewness3.5536509
Sum375
Variance7.0267199
MonotonicityNot monotonic
2024-04-30T03:51:39.988797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 278
 
14.8%
1 27
 
1.4%
3 13
 
0.7%
5 11
 
0.6%
2 9
 
0.5%
4 7
 
0.4%
10 7
 
0.4%
7 4
 
0.2%
11 2
 
0.1%
15 2
 
0.1%
Other values (4) 5
 
0.3%
(Missing) 1518
80.6%
ValueCountFrequency (%)
0 278
14.8%
1 27
 
1.4%
2 9
 
0.5%
3 13
 
0.7%
4 7
 
0.4%
5 11
 
0.6%
6 1
 
0.1%
7 4
 
0.2%
8 1
 
0.1%
10 7
 
0.4%
ValueCountFrequency (%)
20 1
 
0.1%
15 2
 
0.1%
12 2
 
0.1%
11 2
 
0.1%
10 7
0.4%
8 1
 
0.1%
7 4
 
0.2%
6 1
 
0.1%
5 11
0.6%
4 7
0.4%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)6.2%
Missing1527
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean1.9101124
Minimum0
Maximum99
Zeros286
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2024-04-30T03:51:40.090473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.3578785
Coefficient of variation (CV)3.8520658
Kurtosis92.967059
Mean1.9101124
Median Absolute Deviation (MAD)0
Skewness8.3541289
Sum680
Variance54.138376
MonotonicityNot monotonic
2024-04-30T03:51:40.182933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 286
 
15.2%
4 12
 
0.6%
10 10
 
0.5%
1 9
 
0.5%
3 6
 
0.3%
2 5
 
0.3%
5 5
 
0.3%
7 3
 
0.2%
20 3
 
0.2%
8 2
 
0.1%
Other values (12) 15
 
0.8%
(Missing) 1527
81.1%
ValueCountFrequency (%)
0 286
15.2%
1 9
 
0.5%
2 5
 
0.3%
3 6
 
0.3%
4 12
 
0.6%
5 5
 
0.3%
6 2
 
0.1%
7 3
 
0.2%
8 2
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
99 1
 
0.1%
45 1
 
0.1%
41 1
 
0.1%
40 1
 
0.1%
33 1
 
0.1%
20 3
0.2%
17 1
 
0.1%
15 2
0.1%
13 1
 
0.1%
12 1
 
0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
<NA>
1556 
기타
156 
주택가주변
 
107
아파트지역
 
54
유흥업소밀집지역
 
8
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.9410515
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1556
82.6%
기타 156
 
8.3%
주택가주변 107
 
5.7%
아파트지역 54
 
2.9%
유흥업소밀집지역 8
 
0.4%
학교정화(절대) 1
 
0.1%
학교정화(상대) 1
 
0.1%

Length

2024-04-30T03:51:40.294507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:40.398933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1556
82.6%
기타 156
 
8.3%
주택가주변 107
 
5.7%
아파트지역 54
 
2.9%
유흥업소밀집지역 8
 
0.4%
학교정화(절대 1
 
0.1%
학교정화(상대 1
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
<NA>
1556 
기타
233 
자율
 
61
관리
 
12
우수
 
11
Other values (3)
 
10

Length

Max length4
Median length4
Mean length3.6494955
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> 1556
82.6%
기타 233
 
12.4%
자율 61
 
3.2%
관리 12
 
0.6%
우수 11
 
0.6%
지도 4
 
0.2%
4
 
0.2%
2
 
0.1%

Length

2024-04-30T03:51:40.520090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:40.626168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1556
82.6%
기타 233
 
12.4%
자율 61
 
3.2%
관리 12
 
0.6%
우수 11
 
0.6%
지도 4
 
0.2%
4
 
0.2%
2
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
<NA>
1497 
상수도전용
383 
상수도(음용)지하수(주방용)겸용
 
3

Length

Max length17
Median length4
Mean length4.2241105
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1497
79.5%
상수도전용 383
 
20.3%
상수도(음용)지하수(주방용)겸용 3
 
0.2%

Length

2024-04-30T03:51:40.734523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:40.841369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1497
79.5%
상수도전용 383
 
20.3%
상수도(음용)지하수(주방용)겸용 3
 
0.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
<NA>
1745 
0
 
138

Length

Max length4
Median length4
Mean length3.7801381
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> 1745
92.7%
0 138
 
7.3%

Length

2024-04-30T03:51:40.955969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:41.057258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1745
92.7%
0 138
 
7.3%

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.8%
Missing1157
Missing (%)61.4%
Infinite0
Infinite (%)0.0%
Mean0.1322314
Minimum0
Maximum38
Zeros718
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2024-04-30T03:51:41.127478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.650624
Coefficient of variation (CV)12.482844
Kurtosis394.79233
Mean0.1322314
Median Absolute Deviation (MAD)0
Skewness18.425537
Sum96
Variance2.7245597
MonotonicityNot monotonic
2024-04-30T03:51:41.212612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 718
38.1%
6 3
 
0.2%
9 2
 
0.1%
38 1
 
0.1%
15 1
 
0.1%
7 1
 
0.1%
(Missing) 1157
61.4%
ValueCountFrequency (%)
0 718
38.1%
6 3
 
0.2%
7 1
 
0.1%
9 2
 
0.1%
15 1
 
0.1%
38 1
 
0.1%
ValueCountFrequency (%)
38 1
 
0.1%
15 1
 
0.1%
9 2
 
0.1%
7 1
 
0.1%
6 3
 
0.2%
0 718
38.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
<NA>
1152 
0
723 
1
 
5
3
 
2
2
 
1

Length

Max length4
Median length4
Mean length2.8353691
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1152
61.2%
0 723
38.4%
1 5
 
0.3%
3 2
 
0.1%
2 1
 
0.1%

Length

2024-04-30T03:51:41.319683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:41.434409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1152
61.2%
0 723
38.4%
1 5
 
0.3%
3 2
 
0.1%
2 1
 
0.1%

공장판매직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.1%
Missing1149
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean0.14577657
Minimum0
Maximum10
Zeros717
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2024-04-30T03:51:41.530614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0560047
Coefficient of variation (CV)7.2439946
Kurtosis66.379384
Mean0.14577657
Median Absolute Deviation (MAD)0
Skewness8.0007274
Sum107
Variance1.1151458
MonotonicityNot monotonic
2024-04-30T03:51:41.622249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 717
38.1%
10 5
 
0.3%
5 5
 
0.3%
9 2
 
0.1%
4 2
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
(Missing) 1149
61.0%
ValueCountFrequency (%)
0 717
38.1%
1 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
4 2
 
0.1%
5 5
 
0.3%
9 2
 
0.1%
10 5
 
0.3%
ValueCountFrequency (%)
10 5
 
0.3%
9 2
 
0.1%
5 5
 
0.3%
4 2
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
0 717
38.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
<NA>
1157 
0
726 

Length

Max length4
Median length4
Mean length2.8433351
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> 1157
61.4%
0 726
38.6%

Length

2024-04-30T03:51:41.720976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:42.018200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1157
61.4%
0 726
38.6%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
<NA>
1116 
임대
430 
자가
337 

Length

Max length4
Median length4
Mean length3.1853425
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> 1116
59.3%
임대 430
 
22.8%
자가 337
 
17.9%

Length

2024-04-30T03:51:42.117086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:42.212773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1116
59.3%
임대 430
 
22.8%
자가 337
 
17.9%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)4.4%
Missing1656
Missing (%)87.9%
Infinite0
Infinite (%)0.0%
Mean12819383
Minimum0
Maximum5 × 108
Zeros214
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2024-04-30T03:51:42.291973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile48000000
Maximum5 × 108
Range5 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62950873
Coefficient of variation (CV)4.9106007
Kurtosis32.668164
Mean12819383
Median Absolute Deviation (MAD)0
Skewness5.6045054
Sum2.91 × 109
Variance3.9628124 × 1015
MonotonicityNot monotonic
2024-04-30T03:51:42.389571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 214
 
11.4%
300000000 3
 
0.2%
100000000 2
 
0.1%
400000000 2
 
0.1%
60000000 1
 
0.1%
150000000 1
 
0.1%
500000000 1
 
0.1%
20000000 1
 
0.1%
200000000 1
 
0.1%
80000000 1
 
0.1%
(Missing) 1656
87.9%
ValueCountFrequency (%)
0 214
11.4%
20000000 1
 
0.1%
60000000 1
 
0.1%
80000000 1
 
0.1%
100000000 2
 
0.1%
150000000 1
 
0.1%
200000000 1
 
0.1%
300000000 3
 
0.2%
400000000 2
 
0.1%
500000000 1
 
0.1%
ValueCountFrequency (%)
500000000 1
 
0.1%
400000000 2
 
0.1%
300000000 3
 
0.2%
200000000 1
 
0.1%
150000000 1
 
0.1%
100000000 2
 
0.1%
80000000 1
 
0.1%
60000000 1
 
0.1%
20000000 1
 
0.1%
0 214
11.4%

월세액
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)5.7%
Missing1655
Missing (%)87.9%
Infinite0
Infinite (%)0.0%
Mean742105.26
Minimum0
Maximum23000000
Zeros214
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2024-04-30T03:51:42.482650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4650000
Maximum23000000
Range23000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3330129.3
Coefficient of variation (CV)4.4874083
Kurtosis26.276572
Mean742105.26
Median Absolute Deviation (MAD)0
Skewness5.0566416
Sum1.692 × 108
Variance1.1089761 × 1013
MonotonicityNot monotonic
2024-04-30T03:51:42.581016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 214
 
11.4%
10000000 3
 
0.2%
20000000 1
 
0.1%
17500000 1
 
0.1%
4000000 1
 
0.1%
23000000 1
 
0.1%
18000000 1
 
0.1%
3500000 1
 
0.1%
22000000 1
 
0.1%
5000000 1
 
0.1%
Other values (3) 3
 
0.2%
(Missing) 1655
87.9%
ValueCountFrequency (%)
0 214
11.4%
3500000 1
 
0.1%
4000000 1
 
0.1%
5000000 1
 
0.1%
6200000 1
 
0.1%
8000000 1
 
0.1%
10000000 3
 
0.2%
12000000 1
 
0.1%
17500000 1
 
0.1%
18000000 1
 
0.1%
ValueCountFrequency (%)
23000000 1
 
0.1%
22000000 1
 
0.1%
20000000 1
 
0.1%
18000000 1
 
0.1%
17500000 1
 
0.1%
12000000 1
 
0.1%
10000000 3
0.2%
8000000 1
 
0.1%
6200000 1
 
0.1%
5000000 1
 
0.1%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing467
Missing (%)24.8%
Memory size3.8 KiB
False
1415 
True
 
1
(Missing)
467 
ValueCountFrequency (%)
False 1415
75.1%
True 1
 
0.1%
(Missing) 467
 
24.8%
2024-04-30T03:51:42.677616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct127
Distinct (%)9.0%
Missing467
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean65.426201
Minimum0
Maximum7840
Zeros1284
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size16.7 KiB
2024-04-30T03:51:42.789092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile496.185
Maximum7840
Range7840
Interquartile range (IQR)0

Descriptive statistics

Standard deviation314.19092
Coefficient of variation (CV)4.8022186
Kurtosis277.98652
Mean65.426201
Median Absolute Deviation (MAD)0
Skewness13.160778
Sum92643.5
Variance98715.932
MonotonicityNot monotonic
2024-04-30T03:51:42.923614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1284
68.2%
313.5 2
 
0.1%
360.0 2
 
0.1%
495.0 2
 
0.1%
770.36 2
 
0.1%
466.65 2
 
0.1%
330.0 2
 
0.1%
66.0 1
 
0.1%
71.0 1
 
0.1%
357.29 1
 
0.1%
Other values (117) 117
 
6.2%
(Missing) 467
 
24.8%
ValueCountFrequency (%)
0.0 1284
68.2%
4.25 1
 
0.1%
6.6 1
 
0.1%
18.0 1
 
0.1%
33.0 1
 
0.1%
47.0 1
 
0.1%
48.33 1
 
0.1%
66.0 1
 
0.1%
71.0 1
 
0.1%
106.4 1
 
0.1%
ValueCountFrequency (%)
7840.0 1
0.1%
2790.0 1
0.1%
2507.86 1
0.1%
2451.0 1
0.1%
2207.94 1
0.1%
2096.69 1
0.1%
1989.5 1
0.1%
1476.0 1
0.1%
1207.0 1
0.1%
1192.23 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1883
Missing (%)100.0%
Memory size16.7 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1883
Missing (%)100.0%
Memory size16.7 KiB

홈페이지
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
<NA>
1881 
5
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.9968136
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1881
99.9%
5 1
 
0.1%
2 1
 
0.1%

Length

2024-04-30T03:51:43.055194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:51:43.156070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1881
99.9%
5 1
 
0.1%
2 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030800003080000-114-2006-000012006-05-25<NA>3폐업2폐업2023-02-28<NA><NA><NA>9081002309.00142-868서울특별시 강북구 번동 463-1서울특별시 강북구 도봉로96길 12 (번동)1056S-마트 번1동점2023-02-28 11:07:55U2022-12-03 00:03:00.0기타식품판매업202520.512673459784.511653<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
132200003220000-114-1990-001341990-09-18<NA>1영업/정상1영업<NA><NA><NA><NA>02 34494029845.00135-906서울특별시 강남구 압구정동 494서울특별시 강남구 압구정로 343 (압구정동)6008한화갤러리아(주) 명품관2023-11-13 15:14:29U2022-10-31 23:05:00.0기타식품판매업203470.848439447369.579852<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232300003230000-114-2023-000012023-03-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>444.00138-888서울특별시 송파구 문정동 618 파크하비오서울특별시 송파구 송파대로 111, 하비오길동 1층 호텔로 202동 137~144호 (문정동, 파크하비오)5837지에스더프레시 송파하비오점2023-03-21 10:25:51I2022-12-02 22:03:00.0기타식품판매업210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
331400003140000-114-2016-000042016-12-20<NA>1영업/정상1영업<NA><NA><NA><NA>02152263331292.00158-831서울특별시 양천구 신월동 217-21서울특별시 양천구 곰달래로2길 46, 1,2층 (신월동)7927식자재왕 도매마트2023-07-31 17:38:14U2022-12-08 00:02:00.0기타식품판매업185458.61385447142.654719<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432300003230000-114-2011-000042011-07-08<NA>1영업/정상1영업<NA><NA><NA><NA>02 30107726618.80138-736서울특별시 송파구 풍납동 388-1 서울아산병원 동관 지하1층서울특별시 송파구 올림픽로43길 88 (풍납동,서울아산병원 동관 지하1층)5505현대그린푸드 H마트 서울아산병원점2023-03-21 13:18:24U2022-12-02 22:03:00.0기타식품판매업209607.590372447120.577229<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
531500003150000-114-2003-000052003-07-21<NA>1영업/정상1영업<NA><NA><NA><NA>02 264322111225.10157-900서울특별시 강서구 화곡동 830-1서울특별시 강서구 등촌로5길 80 (화곡동)7738롯데슈퍼 화곡2점2023-03-21 17:15:15U2022-12-02 22:03:00.0기타식품판매업187464.403179447877.710664<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
632200003220000-114-1994-000021994-08-04<NA>1영업/정상1영업<NA><NA><NA><NA>02 5437642<NA>135-510서울특별시 강남구 압구정동 456 금강쇼핑센타 지하1층서울특별시 강남구 압구정로 201 (압구정동,금강쇼핑센타 지하1층)6004(주)현대그린푸드 압구정슈퍼2023-03-21 16:25:55U2022-12-02 22:03:00.0기타식품판매업202485.226491447521.520319<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
731500003150000-114-2023-000022023-03-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1091.78157-909서울특별시 강서구 화곡동 900-1 해태드림타운 1층 110,111,112,113호서울특별시 강서구 강서로7길 28, 1층 110,111,112,113호 (화곡동, 해태드림타운)7777(주)행복한식자재마트2023-03-23 14:05:23I2022-12-02 22:05:00.0기타식품판매업186332.679945447538.027902<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
832300003230000-114-2004-000042004-10-18<NA>1영업/정상1영업<NA><NA><NA><NA>02 4065304380.00138-818서울특별시 송파구 마천동 125서울특별시 송파구 마천로43길 3 (마천동)5755송파농협하나로마트 거마점2023-05-11 10:11:06U2022-12-04 23:03:00.0기타식품판매업213008.255812443940.299053<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
931200003120000-114-2023-000022023-06-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>970.00120-859서울특별시 서대문구 홍제동 158-33 연세24시사우나서울특별시 서대문구 통일로 413, 1층 (홍제동)3646삼성식자재마트2023-06-05 12:12:01I2022-12-06 00:08:00.0기타식품판매업195196.693652453764.706269<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
187330400003040000-114-2022-0000320220513<NA>1영업/정상1영업<NA><NA><NA><NA>02 499 3001461.10143840서울특별시 광진구 군자동 362-1 동일흥업주식회사서울특별시 광진구 군자로 70, 가동 1층 101,102호 (군자동)5004화양슈퍼2022-05-13 15:22:58I2021-12-04 23:05:00.0기타식품판매업206212.747884449662.647324<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
187431000003100000-114-2007-000012007-01-22<NA>1영업/정상1영업<NA><NA><NA><NA>9488484407.61139-865서울특별시 노원구 중계동 515-2 정안프라자서울특별시 노원구 동일로 1308, 정안프라자 (중계동)1760롯데쇼핑(주)롯데슈퍼 중계역점2023-06-12 17:29:49U2022-12-05 23:04:00.0기타식품판매업205764.01735460516.391783<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
187532300003230000-114-2021-000022021-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>989.40138-829서울특별시 송파구 방이동 89-12 BNK 올림픽프라자서울특별시 송파구 양재대로 1220, 1층 (방이동)5648롯데쇼핑(주)롯데슈퍼올림픽점2023-05-22 16:48:50U2022-12-04 22:04:00.0기타식품판매업211708.264682445907.582851<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
187632300003230000-114-1996-007481996-10-01<NA>1영업/정상1영업<NA><NA><NA><NA>02 422 9003612.32138-851서울특별시 송파구 송파동 121-0서울특별시 송파구 가락로 183 (송파동)5664롯데쇼핑(주)롯데슈퍼송파점2023-05-25 10:58:40U2022-12-04 22:07:00.0기타식품판매업210057.912138444767.36764<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
187731000003100000-114-2007-000022007-04-23<NA>1영업/정상1영업<NA><NA><NA><NA>02 9783552330.60139-800서울특별시 노원구 공릉동 238-53 공릉빌딩서울특별시 노원구 공릉로 144, 공릉빌딩 (공릉동)1819롯데쇼핑(주)롯데슈퍼공릉점2023-05-23 17:14:32U2022-12-04 22:05:00.0기타식품판매업206952.444114457814.529614<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
187832200003220000-114-2018-000052018-08-02<NA>1영업/정상1영업<NA><NA><NA><NA>02 22905703768.37135-947서울특별시 강남구 일원동 717 삼성생명 일원동 빌딩서울특별시 강남구 일원로 115, 삼성생명 일원동 빌딩 지하1층 B101-1호 (일원동)6355롯데프리미엄 푸드마켓 일원점2023-05-31 16:35:20U2022-12-06 00:02:00.0기타식품판매업207399.551655442426.399301<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
187931500003150000-114-2005-000022005-02-28<NA>1영업/정상1영업<NA><NA><NA><NA>0226645606660.40157-850서울특별시 강서구 방화동 533-9서울특별시 강서구 양천로6길 15 (방화동)7602롯데쇼핑(주) 롯데슈퍼 개화산점2023-05-30 16:11:24U2022-12-06 00:01:00.0기타식품판매업182944.731406452207.427296<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
188031300003130000-114-2008-000022008-08-11<NA>1영업/정상1영업<NA><NA><NA><NA>02 7015604494.77121-810서울특별시 마포구 대흥동 337-10서울특별시 마포구 큰우물로 3 (대흥동)4150롯데슈퍼 (마포대흥점)2023-11-28 10:01:23U2022-10-31 21:00:00.0기타식품판매업194648.759341449239.314704<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
188131000003100000-114-1996-002291996-06-21<NA>1영업/정상1영업<NA><NA><NA><NA>02 9341153613.90139-823서울특별시 노원구 상계동 651 11단지종합상가서울특별시 노원구 동일로 1541, 11단지종합상가 지층 (상계동)1620롯데쇼핑(주)롯데수퍼상계11점2023-06-12 17:00:50U2022-12-05 23:04:00.0기타식품판매업204962.052698462608.538123<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
188232300003230000-114-2009-000092009-07-23<NA>1영업/정상1영업<NA><NA><NA><NA>02 22905735547.67138-800서울특별시 송파구 가락동 7 0,2 가동,나동,다동서울특별시 송파구 오금로36길 8 (가락동, 0,2 가동,나동,다동)5700롯데쇼핑(주)롯데슈퍼가락점2023-06-13 14:13:11U2022-12-05 23:05:00.0기타식품판매업211019.591804444543.052705<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>