Overview

Dataset statistics

Number of variables27
Number of observations2768
Missing cells23892
Missing cells (%)32.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory611.0 KiB
Average record size in memory226.0 B

Variable types

Categorical6
Numeric5
DateTime7
Unsupported3
Text6

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),지정일자,민원종류명
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-19904/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 2333 (84.3%) missing valuesMissing
폐업일자 has 976 (35.3%) missing valuesMissing
휴업시작일자 has 2668 (96.4%) missing valuesMissing
휴업종료일자 has 2668 (96.4%) missing valuesMissing
재개업일자 has 2768 (100.0%) missing valuesMissing
전화번호 has 869 (31.4%) missing valuesMissing
소재지면적 has 2768 (100.0%) missing valuesMissing
소재지우편번호 has 2102 (75.9%) missing valuesMissing
지번주소 has 107 (3.9%) missing valuesMissing
도로명주소 has 420 (15.2%) missing valuesMissing
도로명우편번호 has 1891 (68.3%) missing valuesMissing
업태구분명 has 2768 (100.0%) missing valuesMissing
좌표정보(X) has 192 (6.9%) missing valuesMissing
좌표정보(Y) has 192 (6.9%) missing valuesMissing
지정일자 has 1170 (42.3%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세영업상태코드 has 528 (19.1%) zerosZeros

Reproduction

Analysis started2024-04-06 10:53:50.361315
Analysis finished2024-04-06 10:53:51.943942
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
3020000
2768 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 2768
100.0%

Length

2024-04-06T19:53:52.029647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:53:52.182848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 2768
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2768
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0073291 × 1018
Minimum1.974302 × 1018
Maximum2.024302 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-06T19:53:52.387347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.974302 × 1018
5-th percentile2.001302 × 1018
Q12.001302 × 1018
median2.005302 × 1018
Q32.012302 × 1018
95-th percentile2.020302 × 1018
Maximum2.024302 × 1018
Range5.0000013 × 1016
Interquartile range (IQR)1.1000002 × 1016

Descriptive statistics

Standard deviation6.7695045 × 1015
Coefficient of variation (CV)0.0033723939
Kurtosis-0.12689329
Mean2.0073291 × 1018
Median Absolute Deviation (MAD)4 × 1015
Skewness0.61334486
Sum3.8169958 × 1018
Variance4.5826191 × 1031
MonotonicityStrictly increasing
2024-04-06T19:53:52.631701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1974302007405600001 1
 
< 0.1%
2009302009505600084 1
 
< 0.1%
2009302009505600076 1
 
< 0.1%
2009302009505600077 1
 
< 0.1%
2009302009505600078 1
 
< 0.1%
2009302009505600079 1
 
< 0.1%
2009302009505600080 1
 
< 0.1%
2009302009505600081 1
 
< 0.1%
2009302009505600082 1
 
< 0.1%
2009302009505600083 1
 
< 0.1%
Other values (2758) 2758
99.6%
ValueCountFrequency (%)
1974302007405600001 1
< 0.1%
1976302007405600001 1
< 0.1%
1979302007405600001 1
< 0.1%
1979302007405600417 1
< 0.1%
1987302009505602101 1
< 0.1%
1991302007405600001 1
< 0.1%
1992302009505600416 1
< 0.1%
1992302009505603009 1
< 0.1%
1993302007405600001 1
< 0.1%
1994302007405600010 1
< 0.1%
ValueCountFrequency (%)
2024302020305600009 1
< 0.1%
2024302020305600008 1
< 0.1%
2024302020305600007 1
< 0.1%
2024302020305600004 1
< 0.1%
2024302020305600003 1
< 0.1%
2024302020305600002 1
< 0.1%
2024302020305600001 1
< 0.1%
2023302020305600030 1
< 0.1%
2023302020305600029 1
< 0.1%
2023302020305600028 1
< 0.1%

인허가일자
Date

Distinct1819
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
Minimum1974-07-01 00:00:00
Maximum2024-03-28 00:00:00
2024-04-06T19:53:52.861729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:53:53.141789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct128
Distinct (%)29.4%
Missing2333
Missing (%)84.3%
Memory size21.8 KiB
Minimum1999-09-01 00:00:00
Maximum2023-12-26 00:00:00
2024-04-06T19:53:53.451335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:53:53.701121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
3
1792 
1
528 
4
445 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row4
5th row3

Common Values

ValueCountFrequency (%)
3 1792
64.7%
1 528
 
19.1%
4 445
 
16.1%
2 3
 
0.1%

Length

2024-04-06T19:53:53.943751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:53:54.106577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1792
64.7%
1 528
 
19.1%
4 445
 
16.1%
2 3
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
폐업
1792 
영업/정상
528 
취소/말소/만료/정지/중지
445 
휴업
 
3

Length

Max length14
Median length2
Mean length4.5014451
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row폐업
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 1792
64.7%
영업/정상 528
 
19.1%
취소/말소/만료/정지/중지 445
 
16.1%
휴업 3
 
0.1%

Length

2024-04-06T19:53:54.294264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:53:54.483077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1792
64.7%
영업/정상 528
 
19.1%
취소/말소/만료/정지/중지 445
 
16.1%
휴업 3
 
0.1%

상세영업상태코드
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9356936
Minimum0
Maximum6
Zeros528
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-06T19:53:54.654161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2455274
Coefficient of variation (CV)0.64345274
Kurtosis1.0584778
Mean1.9356936
Median Absolute Deviation (MAD)0
Skewness0.50927196
Sum5358
Variance1.5513384
MonotonicityNot monotonic
2024-04-06T19:53:54.840167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 1792
64.7%
0 528
 
19.1%
3 226
 
8.2%
5 215
 
7.8%
1 3
 
0.1%
4 3
 
0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 528
 
19.1%
1 3
 
0.1%
2 1792
64.7%
3 226
 
8.2%
4 3
 
0.1%
5 215
 
7.8%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 215
 
7.8%
4 3
 
0.1%
3 226
 
8.2%
2 1792
64.7%
1 3
 
0.1%
0 528
 
19.1%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
폐업처리
1792 
정상영업
528 
직권취소
226 
지정취소
215 
휴업처리
 
3
Other values (2)
 
4

Length

Max length8
Median length4
Mean length4.0043353
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row직권취소
2nd row폐업처리
3rd row지정취소
4th row직권취소
5th row폐업처리

Common Values

ValueCountFrequency (%)
폐업처리 1792
64.7%
정상영업 528
 
19.1%
직권취소 226
 
8.2%
지정취소 215
 
7.8%
휴업처리 3
 
0.1%
임시소매기간만료 3
 
0.1%
영업정지 1
 
< 0.1%

Length

2024-04-06T19:53:55.073414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:53:55.269892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 1792
64.7%
정상영업 528
 
19.1%
직권취소 226
 
8.2%
지정취소 215
 
7.8%
휴업처리 3
 
0.1%
임시소매기간만료 3
 
0.1%
영업정지 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1416
Distinct (%)79.0%
Missing976
Missing (%)35.3%
Memory size21.8 KiB
Minimum1994-03-31 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T19:53:55.502318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:53:55.852151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct86
Distinct (%)86.0%
Missing2668
Missing (%)96.4%
Memory size21.8 KiB
Minimum2001-10-10 00:00:00
Maximum2023-10-25 00:00:00
2024-04-06T19:53:56.064940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:53:56.310159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct88
Distinct (%)88.0%
Missing2668
Missing (%)96.4%
Memory size21.8 KiB
Minimum2001-12-30 00:00:00
Maximum2025-03-30 00:00:00
2024-04-06T19:53:56.540535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:53:56.773747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2768
Missing (%)100.0%
Memory size24.5 KiB

전화번호
Text

MISSING 

Distinct1662
Distinct (%)87.5%
Missing869
Missing (%)31.4%
Memory size21.8 KiB
2024-04-06T19:53:57.534902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length10
Mean length9.7967351
Min length1

Characters and Unicode

Total characters18604
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1475 ?
Unique (%)77.7%

Sample

1st row02 7982280
2nd row02 7937556
3rd row02 7959363
4th row02 7137213
5th row02-719-3041
ValueCountFrequency (%)
02 1341
41.3%
7195950 15
 
0.5%
1577-0711 10
 
0.3%
7034513 4
 
0.1%
07070927780 4
 
0.1%
7972589 4
 
0.1%
6718411 4
 
0.1%
0232717020 4
 
0.1%
7791648 4
 
0.1%
7130028 4
 
0.1%
Other values (1658) 1854
57.1%
2024-04-06T19:53:58.173604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2822
15.2%
7 2740
14.7%
2 2717
14.6%
9 1675
9.0%
1 1411
7.6%
1352
7.3%
3 1181
6.3%
4 1107
 
6.0%
5 1081
 
5.8%
8 990
 
5.3%
Other values (7) 1528
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16665
89.6%
Space Separator 1352
 
7.3%
Dash Punctuation 549
 
3.0%
Close Punctuation 33
 
0.2%
Other Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2822
16.9%
7 2740
16.4%
2 2717
16.3%
9 1675
10.1%
1 1411
8.5%
3 1181
7.1%
4 1107
 
6.6%
5 1081
 
6.5%
8 990
 
5.9%
6 941
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
* 1
33.3%
Space Separator
ValueCountFrequency (%)
1352
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 549
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18604
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2822
15.2%
7 2740
14.7%
2 2717
14.6%
9 1675
9.0%
1 1411
7.6%
1352
7.3%
3 1181
6.3%
4 1107
 
6.0%
5 1081
 
5.8%
8 990
 
5.3%
Other values (7) 1528
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2822
15.2%
7 2740
14.7%
2 2717
14.6%
9 1675
9.0%
1 1411
7.6%
1352
7.3%
3 1181
6.3%
4 1107
 
6.0%
5 1081
 
5.8%
8 990
 
5.3%
Other values (7) 1528
8.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2768
Missing (%)100.0%
Memory size24.5 KiB

소재지우편번호
Text

MISSING 

Distinct133
Distinct (%)20.0%
Missing2102
Missing (%)75.9%
Memory size21.8 KiB
2024-04-06T19:53:58.566521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0225225
Min length6

Characters and Unicode

Total characters4011
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

Unique51 ?
Unique (%)7.7%

Sample

1st row140869
2nd row140893
3rd row140150
4th row140022
5th row140900
ValueCountFrequency (%)
140013 49
 
7.4%
140012 34
 
5.1%
140210 31
 
4.7%
140220 23
 
3.5%
140201 23
 
3.5%
140170 22
 
3.3%
140080 21
 
3.2%
140100 21
 
3.2%
140190 19
 
2.9%
140150 19
 
2.9%
Other values (123) 404
60.7%
2024-04-06T19:53:59.130171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1220
30.4%
1 1116
27.8%
4 716
17.9%
2 277
 
6.9%
8 186
 
4.6%
3 181
 
4.5%
7 100
 
2.5%
9 91
 
2.3%
6 59
 
1.5%
5 48
 
1.2%
Other values (2) 17
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3994
99.6%
Dash Punctuation 15
 
0.4%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1220
30.5%
1 1116
27.9%
4 716
17.9%
2 277
 
6.9%
8 186
 
4.7%
3 181
 
4.5%
7 100
 
2.5%
9 91
 
2.3%
6 59
 
1.5%
5 48
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4011
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1220
30.4%
1 1116
27.8%
4 716
17.9%
2 277
 
6.9%
8 186
 
4.6%
3 181
 
4.5%
7 100
 
2.5%
9 91
 
2.3%
6 59
 
1.5%
5 48
 
1.2%
Other values (2) 17
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1220
30.4%
1 1116
27.8%
4 716
17.9%
2 277
 
6.9%
8 186
 
4.6%
3 181
 
4.5%
7 100
 
2.5%
9 91
 
2.3%
6 59
 
1.5%
5 48
 
1.2%
Other values (2) 17
 
0.4%

지번주소
Text

MISSING 

Distinct2334
Distinct (%)87.7%
Missing107
Missing (%)3.9%
Memory size21.8 KiB
2024-04-06T19:53:59.642812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length26.89628
Min length16

Characters and Unicode

Total characters71571
Distinct characters361
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2097 ?
Unique (%)78.8%

Sample

1st row서울특별시 용산구 한강로2가 19번지 139호
2nd row서울특별시 용산구 이태원동 577호
3rd row서울특별시 용산구 한강로3가 52호
4th row서울특별시 용산구 문배동 15번지 16호
5th row서울특별시 용산구 청파동1가 190번지
ValueCountFrequency (%)
서울특별시 2660
 
17.9%
용산구 2658
 
17.9%
한남동 275
 
1.9%
1층 270
 
1.8%
1호 269
 
1.8%
호 259
 
1.7%
한강로3가 251
 
1.7%
이태원동 239
 
1.6%
한강로2가 237
 
1.6%
후암동 132
 
0.9%
Other values (1637) 7604
51.2%
2024-04-06T19:54:00.592145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15125
21.1%
1 3163
 
4.4%
용 3004
 
4.2%
산 2981
 
4.2%
서 2807
 
3.9%
호 2732
 
3.8%
시 2695
 
3.8%
울 2695
 
3.8%
구 2687
 
3.8%
별 2668
 
3.7%
Other values (351) 31014
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42545
59.4%
Space Separator 15125
 
21.1%
Decimal Number 13308
 
18.6%
Dash Punctuation 208
 
0.3%
Uppercase Letter 124
 
0.2%
Open Punctuation 83
 
0.1%
Close Punctuation 83
 
0.1%
Other Punctuation 66
 
0.1%
Lowercase Letter 25
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 3004
 
7.1%
산 2981
 
7.0%
서 2807
 
6.6%
호 2732
 
6.4%
시 2695
 
6.3%
울 2695
 
6.3%
구 2687
 
6.3%
별 2668
 
6.3%
특 2662
 
6.3%
지 2424
 
5.7%
Other values (297) 15190
35.7%
Uppercase Letter
ValueCountFrequency (%)
B 28
22.6%
P 15
12.1%
A 14
11.3%
C 12
9.7%
S 8
 
6.5%
K 7
 
5.6%
D 5
 
4.0%
G 5
 
4.0%
L 5
 
4.0%
J 5
 
4.0%
Other values (8) 20
16.1%
Lowercase Letter
ValueCountFrequency (%)
c 4
16.0%
e 3
12.0%
y 2
 
8.0%
t 2
 
8.0%
w 2
 
8.0%
f 2
 
8.0%
u 1
 
4.0%
a 1
 
4.0%
h 1
 
4.0%
k 1
 
4.0%
Other values (6) 6
24.0%
Decimal Number
ValueCountFrequency (%)
1 3163
23.8%
2 2180
16.4%
3 1735
13.0%
4 1130
 
8.5%
0 1039
 
7.8%
6 939
 
7.1%
5 937
 
7.0%
9 779
 
5.9%
7 730
 
5.5%
8 676
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 57
86.4%
. 6
 
9.1%
& 1
 
1.5%
@ 1
 
1.5%
/ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
15125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42545
59.4%
Common 28877
40.3%
Latin 149
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 3004
 
7.1%
산 2981
 
7.0%
서 2807
 
6.6%
호 2732
 
6.4%
시 2695
 
6.3%
울 2695
 
6.3%
구 2687
 
6.3%
별 2668
 
6.3%
특 2662
 
6.3%
지 2424
 
5.7%
Other values (297) 15190
35.7%
Latin
ValueCountFrequency (%)
B 28
18.8%
P 15
 
10.1%
A 14
 
9.4%
C 12
 
8.1%
S 8
 
5.4%
K 7
 
4.7%
D 5
 
3.4%
G 5
 
3.4%
L 5
 
3.4%
J 5
 
3.4%
Other values (24) 45
30.2%
Common
ValueCountFrequency (%)
15125
52.4%
1 3163
 
11.0%
2 2180
 
7.5%
3 1735
 
6.0%
4 1130
 
3.9%
0 1039
 
3.6%
6 939
 
3.3%
5 937
 
3.2%
9 779
 
2.7%
7 730
 
2.5%
Other values (10) 1120
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42545
59.4%
ASCII 29026
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15125
52.1%
1 3163
 
10.9%
2 2180
 
7.5%
3 1735
 
6.0%
4 1130
 
3.9%
0 1039
 
3.6%
6 939
 
3.2%
5 937
 
3.2%
9 779
 
2.7%
7 730
 
2.5%
Other values (44) 1269
 
4.4%
Hangul
ValueCountFrequency (%)
용 3004
 
7.1%
산 2981
 
7.0%
서 2807
 
6.6%
호 2732
 
6.4%
시 2695
 
6.3%
울 2695
 
6.3%
구 2687
 
6.3%
별 2668
 
6.3%
특 2662
 
6.3%
지 2424
 
5.7%
Other values (297) 15190
35.7%

도로명주소
Text

MISSING 

Distinct1838
Distinct (%)78.3%
Missing420
Missing (%)15.2%
Memory size21.8 KiB
2024-04-06T19:54:01.124369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length53
Mean length30.208262
Min length18

Characters and Unicode

Total characters70929
Distinct characters356
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1508 ?
Unique (%)64.2%

Sample

1st row서울특별시 용산구 녹사평대로 226-1 (이태원동)
2nd row서울특별시 용산구 청파로 307 (청파동1가)
3rd row서울특별시 용산구 한강대로38길 21 (용산동5가)
4th row서울특별시 용산구 이태원로 208 (한남동)
5th row서울특별시 용산구 한강대로 273 (갈월동)
ValueCountFrequency (%)
서울특별시 2348
 
17.5%
용산구 2340
 
17.4%
1층 401
 
3.0%
이태원동 234
 
1.7%
한강대로 218
 
1.6%
한남동 203
 
1.5%
청파로 184
 
1.4%
한강로3가 144
 
1.1%
한강로2가 140
 
1.0%
후암동 114
 
0.8%
Other values (1646) 7112
52.9%
2024-04-06T19:54:01.964369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11098
 
15.6%
로 2977
 
4.2%
1 2916
 
4.1%
용 2655
 
3.7%
산 2616
 
3.7%
서 2596
 
3.7%
) 2406
 
3.4%
( 2405
 
3.4%
울 2385
 
3.4%
시 2375
 
3.3%
Other values (346) 36500
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42056
59.3%
Space Separator 11098
 
15.6%
Decimal Number 11043
 
15.6%
Close Punctuation 2406
 
3.4%
Open Punctuation 2405
 
3.4%
Other Punctuation 1392
 
2.0%
Dash Punctuation 350
 
0.5%
Uppercase Letter 148
 
0.2%
Lowercase Letter 28
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 2977
 
7.1%
용 2655
 
6.3%
산 2616
 
6.2%
서 2596
 
6.2%
울 2385
 
5.7%
시 2375
 
5.6%
구 2360
 
5.6%
별 2357
 
5.6%
특 2349
 
5.6%
동 1994
 
4.7%
Other values (289) 17392
41.4%
Uppercase Letter
ValueCountFrequency (%)
B 38
25.7%
A 15
 
10.1%
C 13
 
8.8%
D 8
 
5.4%
K 8
 
5.4%
L 8
 
5.4%
T 7
 
4.7%
S 6
 
4.1%
P 6
 
4.1%
Y 5
 
3.4%
Other values (10) 34
23.0%
Lowercase Letter
ValueCountFrequency (%)
c 6
21.4%
e 3
10.7%
k 2
 
7.1%
f 2
 
7.1%
t 2
 
7.1%
w 2
 
7.1%
y 2
 
7.1%
u 1
 
3.6%
a 1
 
3.6%
h 1
 
3.6%
Other values (6) 6
21.4%
Decimal Number
ValueCountFrequency (%)
1 2916
26.4%
2 1799
16.3%
3 1349
12.2%
0 978
 
8.9%
4 925
 
8.4%
5 774
 
7.0%
7 677
 
6.1%
6 638
 
5.8%
9 516
 
4.7%
8 471
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 1382
99.3%
. 6
 
0.4%
' 1
 
0.1%
& 1
 
0.1%
@ 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
11098
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2406
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2405
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42056
59.3%
Common 28697
40.5%
Latin 176
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 2977
 
7.1%
용 2655
 
6.3%
산 2616
 
6.2%
서 2596
 
6.2%
울 2385
 
5.7%
시 2375
 
5.6%
구 2360
 
5.6%
별 2357
 
5.6%
특 2349
 
5.6%
동 1994
 
4.7%
Other values (289) 17392
41.4%
Latin
ValueCountFrequency (%)
B 38
21.6%
A 15
 
8.5%
C 13
 
7.4%
D 8
 
4.5%
K 8
 
4.5%
L 8
 
4.5%
T 7
 
4.0%
c 6
 
3.4%
S 6
 
3.4%
P 6
 
3.4%
Other values (26) 61
34.7%
Common
ValueCountFrequency (%)
11098
38.7%
1 2916
 
10.2%
) 2406
 
8.4%
( 2405
 
8.4%
2 1799
 
6.3%
, 1382
 
4.8%
3 1349
 
4.7%
0 978
 
3.4%
4 925
 
3.2%
5 774
 
2.7%
Other values (11) 2665
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42056
59.3%
ASCII 28873
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11098
38.4%
1 2916
 
10.1%
) 2406
 
8.3%
( 2405
 
8.3%
2 1799
 
6.2%
, 1382
 
4.8%
3 1349
 
4.7%
0 978
 
3.4%
4 925
 
3.2%
5 774
 
2.7%
Other values (47) 2841
 
9.8%
Hangul
ValueCountFrequency (%)
로 2977
 
7.1%
용 2655
 
6.3%
산 2616
 
6.2%
서 2596
 
6.2%
울 2385
 
5.7%
시 2375
 
5.6%
구 2360
 
5.6%
별 2357
 
5.6%
특 2349
 
5.6%
동 1994
 
4.7%
Other values (289) 17392
41.4%

도로명우편번호
Text

MISSING 

Distinct231
Distinct (%)26.3%
Missing1891
Missing (%)68.3%
Memory size21.8 KiB
2024-04-06T19:54:02.530848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4561003
Min length5

Characters and Unicode

Total characters4785
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

Unique64 ?
Unique (%)7.3%

Sample

1st row04325
2nd row04328
3rd row140833
4th row140833
5th row04338
ValueCountFrequency (%)
04382 19
 
2.2%
04378 15
 
1.7%
140013 14
 
1.6%
140873 14
 
1.6%
140821 13
 
1.5%
140012 13
 
1.5%
04427 13
 
1.5%
04353 12
 
1.4%
04315 12
 
1.4%
140201 12
 
1.4%
Other values (221) 740
84.4%
2024-04-06T19:54:03.325701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1202
25.1%
4 1058
22.1%
1 698
14.6%
3 630
13.2%
8 312
 
6.5%
2 253
 
5.3%
7 217
 
4.5%
5 144
 
3.0%
6 137
 
2.9%
9 124
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4775
99.8%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1202
25.2%
4 1058
22.2%
1 698
14.6%
3 630
13.2%
8 312
 
6.5%
2 253
 
5.3%
7 217
 
4.5%
5 144
 
3.0%
6 137
 
2.9%
9 124
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4785
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1202
25.1%
4 1058
22.1%
1 698
14.6%
3 630
13.2%
8 312
 
6.5%
2 253
 
5.3%
7 217
 
4.5%
5 144
 
3.0%
6 137
 
2.9%
9 124
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4785
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1202
25.1%
4 1058
22.1%
1 698
14.6%
3 630
13.2%
8 312
 
6.5%
2 253
 
5.3%
7 217
 
4.5%
5 144
 
3.0%
6 137
 
2.9%
9 124
 
2.6%

사업장명
Text

Distinct2070
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
2024-04-06T19:54:03.851321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length6.7098988
Min length1

Characters and Unicode

Total characters18573
Distinct characters599
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1743 ?
Unique (%)63.0%

Sample

1st row고흥식품
2nd row지미연초판매소
3rd row가판점
4th row충남슈퍼
5th row삼오문구
ValueCountFrequency (%)
씨유 119
 
3.3%
담배소매점 77
 
2.2%
gs25 68
 
1.9%
세븐일레븐 52
 
1.5%
주)코리아세븐 46
 
1.3%
지에스25 46
 
1.3%
식품 35
 
1.0%
잡화 34
 
1.0%
코레일유통(주 25
 
0.7%
이마트24 24
 
0.7%
Other values (2079) 3032
85.2%
2024-04-06T19:54:04.588613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 963
 
5.2%
792
 
4.3%
산 407
 
2.2%
용 356
 
1.9%
마 353
 
1.9%
이 340
 
1.8%
퍼 330
 
1.8%
트 327
 
1.8%
식 313
 
1.7%
슈 310
 
1.7%
Other values (589) 14082
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15794
85.0%
Space Separator 792
 
4.3%
Decimal Number 762
 
4.1%
Uppercase Letter 577
 
3.1%
Close Punctuation 280
 
1.5%
Open Punctuation 279
 
1.5%
Lowercase Letter 42
 
0.2%
Other Punctuation 28
 
0.2%
Dash Punctuation 17
 
0.1%
Initial Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 963
 
6.1%
산 407
 
2.6%
용 356
 
2.3%
마 353
 
2.2%
이 340
 
2.2%
퍼 330
 
2.1%
트 327
 
2.1%
식 313
 
2.0%
슈 310
 
2.0%
스 281
 
1.8%
Other values (528) 11814
74.8%
Uppercase Letter
ValueCountFrequency (%)
S 162
28.1%
G 147
25.5%
C 27
 
4.7%
L 25
 
4.3%
U 23
 
4.0%
M 20
 
3.5%
K 20
 
3.5%
E 18
 
3.1%
R 18
 
3.1%
O 16
 
2.8%
Other values (15) 101
17.5%
Lowercase Letter
ValueCountFrequency (%)
a 6
14.3%
t 6
14.3%
r 6
14.3%
e 5
11.9%
u 3
7.1%
m 3
7.1%
s 3
7.1%
i 2
 
4.8%
h 2
 
4.8%
o 2
 
4.8%
Other values (4) 4
9.5%
Decimal Number
ValueCountFrequency (%)
2 293
38.5%
5 237
31.1%
4 76
 
10.0%
6 34
 
4.5%
3 32
 
4.2%
1 28
 
3.7%
9 24
 
3.1%
8 16
 
2.1%
0 12
 
1.6%
7 10
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 9
32.1%
, 9
32.1%
& 3
 
10.7%
? 3
 
10.7%
: 3
 
10.7%
' 1
 
3.6%
Space Separator
ValueCountFrequency (%)
792
100.0%
Close Punctuation
ValueCountFrequency (%)
) 280
100.0%
Open Punctuation
ValueCountFrequency (%)
( 279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15795
85.0%
Common 2159
 
11.6%
Latin 619
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 963
 
6.1%
산 407
 
2.6%
용 356
 
2.3%
마 353
 
2.2%
이 340
 
2.2%
퍼 330
 
2.1%
트 327
 
2.1%
식 313
 
2.0%
슈 310
 
2.0%
스 281
 
1.8%
Other values (529) 11815
74.8%
Latin
ValueCountFrequency (%)
S 162
26.2%
G 147
23.7%
C 27
 
4.4%
L 25
 
4.0%
U 23
 
3.7%
M 20
 
3.2%
K 20
 
3.2%
E 18
 
2.9%
R 18
 
2.9%
O 16
 
2.6%
Other values (29) 143
23.1%
Common
ValueCountFrequency (%)
792
36.7%
2 293
 
13.6%
) 280
 
13.0%
( 279
 
12.9%
5 237
 
11.0%
4 76
 
3.5%
6 34
 
1.6%
3 32
 
1.5%
1 28
 
1.3%
9 24
 
1.1%
Other values (11) 84
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15794
85.0%
ASCII 2777
 
15.0%
Punctuation 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 963
 
6.1%
산 407
 
2.6%
용 356
 
2.3%
마 353
 
2.2%
이 340
 
2.2%
퍼 330
 
2.1%
트 327
 
2.1%
식 313
 
2.0%
슈 310
 
2.0%
스 281
 
1.8%
Other values (528) 11814
74.8%
ASCII
ValueCountFrequency (%)
792
28.5%
2 293
 
10.6%
) 280
 
10.1%
( 279
 
10.0%
5 237
 
8.5%
S 162
 
5.8%
G 147
 
5.3%
4 76
 
2.7%
6 34
 
1.2%
3 32
 
1.2%
Other values (49) 445
16.0%
Punctuation
ValueCountFrequency (%)
“ 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

Distinct1853
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
Minimum2007-07-23 16:06:38
Maximum2024-04-03 17:04:18
2024-04-06T19:54:04.831452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:54:05.096659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
I
2221 
U
547 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2221
80.2%
U 547
 
19.8%

Length

2024-04-06T19:54:05.366274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:54:05.530712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2221
80.2%
u 547
 
19.8%

데이터갱신일자
Date

Distinct404
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T19:54:05.718920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:54:06.057552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2768
Missing (%)100.0%
Memory size24.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1332
Distinct (%)51.7%
Missing192
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean197841.5
Minimum195122.14
Maximum200859.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-06T19:54:06.287931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195122.14
5-th percentile196145.2
Q1196819.92
median197426.12
Q3199073.57
95-th percentile200286.14
Maximum200859.14
Range5737.0004
Interquartile range (IQR)2253.6504

Descriptive statistics

Standard deviation1343.3499
Coefficient of variation (CV)0.0067900308
Kurtosis-0.86451602
Mean197841.5
Median Absolute Deviation (MAD)812.82114
Skewness0.56559084
Sum5.096397 × 108
Variance1804588.9
MonotonicityNot monotonic
2024-04-06T19:54:06.534073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196762.077394917 40
 
1.4%
196370.746398773 34
 
1.2%
197373.839856311 22
 
0.8%
196145.20051733 19
 
0.7%
196893.277042114 19
 
0.7%
196873.001604976 15
 
0.5%
197947.868031314 14
 
0.5%
196746.85858078 13
 
0.5%
197138.823553 11
 
0.4%
197044.277002519 10
 
0.4%
Other values (1322) 2379
85.9%
(Missing) 192
 
6.9%
ValueCountFrequency (%)
195122.135399337 1
 
< 0.1%
195146.566580165 1
 
< 0.1%
195266.362355276 1
 
< 0.1%
195385.366085745 3
0.1%
195385.722601944 1
 
< 0.1%
195515.18314741 1
 
< 0.1%
195529.949270409 1
 
< 0.1%
195544.606275448 3
0.1%
195547.140326252 3
0.1%
195550.858625514 1
 
< 0.1%
ValueCountFrequency (%)
200859.135768055 1
 
< 0.1%
200846.604536733 1
 
< 0.1%
200837.136549128 1
 
< 0.1%
200824.55933234 2
 
0.1%
200822.982326596 2
 
0.1%
200806.372578114 6
0.2%
200769.106350156 1
 
< 0.1%
200768.292367139 1
 
< 0.1%
200743.543180415 1
 
< 0.1%
200732.487144114 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1331
Distinct (%)51.7%
Missing192
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean448260.22
Minimum445891.89
Maximum455952.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-06T19:54:06.797222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445891.89
5-th percentile446770.64
Q1447651.53
median448066.53
Q3448901.83
95-th percentile450001.6
Maximum455952.48
Range10060.594
Interquartile range (IQR)1250.295

Descriptive statistics

Standard deviation956.4751
Coefficient of variation (CV)0.0021337497
Kurtosis1.0043687
Mean448260.22
Median Absolute Deviation (MAD)587.79166
Skewness0.40737079
Sum1.1547183 × 109
Variance914844.61
MonotonicityNot monotonic
2024-04-06T19:54:07.034667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447480.039577359 40
 
1.4%
447841.698787531 34
 
1.2%
447480.626891957 19
 
0.7%
447852.583272453 19
 
0.7%
450014.537949042 18
 
0.7%
447960.206197372 15
 
0.5%
447328.062734132 14
 
0.5%
447934.85182274 14
 
0.5%
447436.953717 11
 
0.4%
446549.892594467 10
 
0.4%
Other values (1321) 2382
86.1%
(Missing) 192
 
6.9%
ValueCountFrequency (%)
445891.889050955 5
0.2%
446114.125235545 4
0.1%
446114.155238838 4
0.1%
446185.244544796 1
 
< 0.1%
446201.315141801 2
 
0.1%
446202.36502252 2
 
0.1%
446243.198701013 2
 
0.1%
446244.607183366 2
 
0.1%
446248.255892098 2
 
0.1%
446258.597479561 1
 
< 0.1%
ValueCountFrequency (%)
455952.483479305 1
 
< 0.1%
450295.453666667 3
0.1%
450290.442701448 3
0.1%
450288.561776513 1
 
< 0.1%
450278.758007272 5
0.2%
450276.362603368 1
 
< 0.1%
450239.905239 1
 
< 0.1%
450239.515008707 3
0.1%
450238.570804572 1
 
< 0.1%
450238.200889239 1
 
< 0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1193
Distinct (%)74.7%
Missing1170
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean20075679
Minimum19760630
Maximum20220325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-06T19:54:07.269218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19760630
5-th percentile19910313
Q120031115
median20085669
Q320140514
95-th percentile20190536
Maximum20220325
Range459695
Interquartile range (IQR)109399.75

Descriptive statistics

Standard deviation84150.895
Coefficient of variation (CV)0.0041916835
Kurtosis1.0045169
Mean20075679
Median Absolute Deviation (MAD)54832
Skewness-0.90663341
Sum3.2080936 × 1010
Variance7.0813731 × 109
MonotonicityNot monotonic
2024-04-06T19:54:07.589262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19790630 17
 
0.6%
19850630 9
 
0.3%
19981102 8
 
0.3%
20080903 8
 
0.3%
20120820 7
 
0.3%
19981104 6
 
0.2%
19981030 6
 
0.2%
20100412 6
 
0.2%
20090310 6
 
0.2%
20161027 5
 
0.2%
Other values (1183) 1520
54.9%
(Missing) 1170
42.3%
ValueCountFrequency (%)
19760630 1
 
< 0.1%
19790630 17
0.6%
19810516 1
 
< 0.1%
19821213 1
 
< 0.1%
19830228 1
 
< 0.1%
19830402 1
 
< 0.1%
19840202 1
 
< 0.1%
19840503 1
 
< 0.1%
19840630 1
 
< 0.1%
19841129 1
 
< 0.1%
ValueCountFrequency (%)
20220325 1
< 0.1%
20220211 1
< 0.1%
20220128 1
< 0.1%
20220118 1
< 0.1%
20220114 2
0.1%
20211213 1
< 0.1%
20211130 1
< 0.1%
20211103 1
< 0.1%
20211022 1
< 0.1%
20211015 1
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
<NA>
1170 
2009년11월법개정전자료
857 
제7조의3제2항에따른경우
508 
제7조의3제3항에따른경우
233 

Length

Max length14
Median length13
Mean length9.5054191
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row2009년11월법개정전자료
3rd row2009년11월법개정전자료
4th row<NA>
5th row2009년11월법개정전자료

Common Values

ValueCountFrequency (%)
<NA> 1170
42.3%
2009년11월법개정전자료 857
31.0%
제7조의3제2항에따른경우 508
18.4%
제7조의3제3항에따른경우 233
 
8.4%

Length

2024-04-06T19:54:07.887225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:54:08.094210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1170
42.3%
2009년11월법개정전자료 857
31.0%
제7조의3제2항에따른경우 508
18.4%
제7조의3제3항에따른경우 233
 
8.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
03020000197430200740560000119740701200412274취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>02 7982280<NA><NA>서울특별시 용산구 한강로2가 19번지 139호<NA><NA>고흥식품2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
13020000197630200740560000119760630<NA>3폐업2폐업처리20130502<NA><NA><NA>02 7937556<NA><NA>서울특별시 용산구 이태원동 577호서울특별시 용산구 녹사평대로 226-1 (이태원동)<NA>지미연초판매소2013-05-02 13:32:07I2018-08-31 23:59:59.0<NA>198781.156109448403.550395197606302009년11월법개정전자료
23020000197930200740560000119790630200810094취소/말소/만료/정지/중지5지정취소<NA><NA><NA><NA>02 7959363<NA><NA>서울특별시 용산구 한강로3가 52호<NA><NA>가판점2008-10-30 15:50:38I2018-08-31 23:59:59.0<NA>196824.217193447041.760536197906302009년11월법개정전자료
33020000197930200740560041719790630<NA>4취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>02 7137213<NA><NA>서울특별시 용산구 문배동 15번지 16호<NA><NA>충남슈퍼2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
43020000198730200950560210119870826<NA>3폐업2폐업처리20080117<NA><NA><NA>02-719-3041<NA>140869서울특별시 용산구 청파동1가 190번지서울특별시 용산구 청파로 307 (청파동1가)<NA>삼오문구2008-01-17 14:19:47I2018-08-31 23:59:59.0<NA>197253.604211449414.228533198708262009년11월법개정전자료
53020000199130200740560000119910624<NA>3폐업2폐업처리20041201<NA><NA><NA>02 7901160<NA><NA>서울특별시 용산구 용산동5가 2번지 1호서울특별시 용산구 한강대로38길 21 (용산동5가)<NA>국군8327부대매점2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>197353.288651447309.58713<NA><NA>
63020000199230200950560041619921224<NA>3폐업2폐업처리20090420<NA><NA><NA>0410-8706-7358<NA>140893서울특별시 용산구 한남동 736번지 11호서울특별시 용산구 이태원로 208 (한남동)<NA>태평식품2009-04-20 10:07:31I2018-08-31 23:59:59.0<NA>199675.289712448030.294524199212242009년11월법개정전자료
73020000199230200950560300919920318201208314취소/말소/만료/정지/중지5지정취소<NA><NA><NA><NA>711-1301<NA>140150서울특별시 용산구 갈월동 92번지서울특별시 용산구 한강대로 273 (갈월동)<NA>가판점2012-08-31 13:40:18I2018-08-31 23:59:59.0<NA>197454.750647448937.796601199203182009년11월법개정전자료
83020000199330200740560000119930309<NA>3폐업2폐업처리20041224<NA><NA><NA>02 7134515<NA><NA>서울특별시 용산구 서계동 130번지 2호서울특별시 용산구 청파로 353 (서계동)<NA>민기열쇠2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>197214.635962449870.829904<NA><NA>
93020000199430200740560001019941002<NA>3폐업2폐업처리20090323<NA><NA><NA>02 7481293<NA><NA>서울특별시 용산구 용산동3가 1호 (국방부내)서울특별시 용산구 이태원로 22 (용산동3가,(국방부내))<NA>국방부 근무지원단2009-03-23 16:21:12I2018-08-31 23:59:59.0<NA>197947.868031447934.851823199410022009년11월법개정전자료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
2758302000020233020203056000282023-11-06<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로2가 88서울특별시 용산구 한강대로48길 17-5, 1층 (한강로2가)04382지에스25 용리단길2023-11-06 15:38:01I2022-11-01 00:08:00.0<NA>197423.388614447712.375925<NA><NA>
2759302000020233020203056000292023-11-27<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 용산동3가 1서울특별시 용산구 이태원로 22, B1층 (용산동3가)04383지에스25 국방부2023-11-28 09:18:04I2022-10-31 21:00:00.0<NA>197948.317862447933.587473<NA><NA>
2760302000020233020203056000302023-11-30<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로4가 142-1서울특별시 용산구 원효로 55, 1층 (원효로4가)04360(주)코리아세븐 용산원효점2024-02-08 15:08:40U2023-12-01 23:01:00.0<NA>195556.853873447925.90821<NA><NA>
2761302000020243020203056000012024-01-05<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로2가 420 용산푸르지오써밋서울특별시 용산구 한강대로 69, 상가동 B106-1호 (한강로2가, 용산푸르지오써밋)04378지에스25푸르지오써밋점2024-01-05 15:38:45I2023-12-01 00:07:00.0<NA>196861.350875447226.72051<NA><NA>
2762302000020243020203056000022024-01-11<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로1가 51-19서울특별시 용산구 원효로83길 7, 1층 (원효로1가)04316지에스25 용산퍼스트2024-01-11 17:10:56I2023-11-30 23:03:00.0<NA>197090.167811448636.658911<NA><NA>
2763302000020243020203056000032024-01-11<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로1가 231-6서울특별시 용산구 한강대로62길 48, 1층 (한강로1가)04382씨유 용산삼각지점2024-01-11 17:11:11I2023-11-30 23:03:00.0<NA>197578.141435447844.960185<NA><NA>
2764302000020243020203056000042024-01-11<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로1가 166-6 혜전약국서울특별시 용산구 이태원로4길 30, 101호 (한강로1가, 혜전약국)04382씨유용산프레지던트점2024-01-11 17:14:20I2023-11-30 23:03:00.0<NA>197750.297826447888.672064<NA><NA>
2765302000020243020203056000072024-02-21<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 260-169서울특별시 용산구 회나무로13가길 41, 1층 (이태원동)04344씨유 이태원2동점2024-02-21 14:36:59I2023-12-01 22:03:00.0<NA>199216.466247448752.686364<NA><NA>
2766302000020243020203056000082024-03-20<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이촌동 302-17서울특별시 용산구 서빙고로62길 5-486 (이촌동)04427한강르네상스 이촌2호점2024-03-20 12:29:14I2023-12-02 22:02:00.0<NA>197329.192481446114.125236<NA><NA>
2767302000020243020203056000092024-03-28<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로1가 50-1 용산파크자이서울특별시 용산구 한강대로 205, 1층 D8호 (한강로1가, 용산파크자이)04322씨유(CU)용산파크자이점2024-03-28 15:44:35I2023-12-02 21:00:00.0<NA>197514.145786448264.322315<NA><NA>