Overview

Dataset statistics

Number of variables27
Number of observations3854
Missing cells33745
Missing cells (%)32.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory850.7 KiB
Average record size in memory226.0 B

Variable types

Categorical6
Numeric5
Text7
DateTime6
Unsupported3

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-19903/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 3449 (89.5%) missing valuesMissing
폐업일자 has 1399 (36.3%) missing valuesMissing
휴업시작일자 has 3756 (97.5%) missing valuesMissing
휴업종료일자 has 3756 (97.5%) missing valuesMissing
재개업일자 has 3854 (100.0%) missing valuesMissing
전화번호 has 1293 (33.5%) missing valuesMissing
소재지면적 has 3854 (100.0%) missing valuesMissing
소재지우편번호 has 2912 (75.6%) missing valuesMissing
지번주소 has 172 (4.5%) missing valuesMissing
도로명주소 has 527 (13.7%) missing valuesMissing
도로명우편번호 has 2552 (66.2%) missing valuesMissing
업태구분명 has 3854 (100.0%) missing valuesMissing
좌표정보(X) has 426 (11.1%) missing valuesMissing
좌표정보(Y) has 426 (11.1%) missing valuesMissing
지정일자 has 1515 (39.3%) missing valuesMissing
관리번호 is highly skewed (γ1 = 50.09450686)Skewed
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 969 (25.1%) zerosZeros

Reproduction

Analysis started2024-04-29 20:02:57.310169
Analysis finished2024-04-29 20:02:58.678370
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
3010000
3854 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 3854
100.0%

Length

2024-04-30T05:02:58.738351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:02:58.818518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 3854
100.0%

관리번호
Real number (ℝ)

SKEWED  UNIQUE 

Distinct3854
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0083693 × 1018
Minimum3.0101001 × 1014
Maximum9.999301 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.0 KiB
2024-04-30T05:02:58.923129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0101001 × 1014
5-th percentile2.000301 × 1018
Q12.000301 × 1018
median2.006301 × 1018
Q32.013301 × 1018
95-th percentile2.020301 × 1018
Maximum9.999301 × 1018
Range9.999 × 1018
Interquartile range (IQR)1.3000003 × 1016

Descriptive statistics

Standard deviation1.3681817 × 1017
Coefficient of variation (CV)0.06812401
Kurtosis3045.8644
Mean2.0083693 × 1018
Median Absolute Deviation (MAD)6 × 1015
Skewness50.094507
Sum1.1069324 × 1019
Variance1.8719211 × 1034
MonotonicityStrictly increasing
2024-04-30T05:02:59.039941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301010005600303 1
 
< 0.1%
2011301010005600014 1
 
< 0.1%
2010301010005600067 1
 
< 0.1%
2010301010005600068 1
 
< 0.1%
2010301010005600069 1
 
< 0.1%
2010301010005600070 1
 
< 0.1%
2010301010005600071 1
 
< 0.1%
2010301010005600072 1
 
< 0.1%
2010301010005600073 1
 
< 0.1%
2010301010005600074 1
 
< 0.1%
Other values (3844) 3844
99.7%
ValueCountFrequency (%)
301010005600303 1
< 0.1%
1301010005601001 1
< 0.1%
1900301010005600100 1
< 0.1%
1988301007105601414 1
< 0.1%
1989301007105600136 1
< 0.1%
1989301010005600001 1
< 0.1%
1989301010005600007 1
< 0.1%
1989301010005600011 1
< 0.1%
1989301010005600161 1
< 0.1%
1989301010005600162 1
< 0.1%
ValueCountFrequency (%)
9999301010005602026 1
< 0.1%
2024301020505600015 1
< 0.1%
2024301020505600014 1
< 0.1%
2024301020505600013 1
< 0.1%
2024301020505600012 1
< 0.1%
2024301020505600011 1
< 0.1%
2024301020505600010 1
< 0.1%
2024301020505600009 1
< 0.1%
2024301020505600008 1
< 0.1%
2024301020505600007 1
< 0.1%
Distinct2266
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
2024-04-30T05:02:59.274164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.1338869
Min length8

Characters and Unicode

Total characters31348
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

Unique1489 ?
Unique (%)38.6%

Sample

1st row19801101
2nd row19900101
3rd row20100617
4th row19880326
5th row19890701
ValueCountFrequency (%)
19990101 157
 
4.1%
19981214 21
 
0.5%
19981228 21
 
0.5%
19981209 19
 
0.5%
19981218 18
 
0.5%
19981205 17
 
0.4%
19981231 17
 
0.4%
20000101 17
 
0.4%
19981130 14
 
0.4%
19981211 13
 
0.3%
Other values (2256) 3540
91.9%
2024-04-30T05:02:59.643200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9435
30.1%
1 6259
20.0%
2 5609
17.9%
9 3222
 
10.3%
8 1288
 
4.1%
3 1223
 
3.9%
7 1001
 
3.2%
6 974
 
3.1%
5 911
 
2.9%
4 910
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30832
98.4%
Dash Punctuation 516
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9435
30.6%
1 6259
20.3%
2 5609
18.2%
9 3222
 
10.5%
8 1288
 
4.2%
3 1223
 
4.0%
7 1001
 
3.2%
6 974
 
3.2%
5 911
 
3.0%
4 910
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 516
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9435
30.1%
1 6259
20.0%
2 5609
17.9%
9 3222
 
10.3%
8 1288
 
4.1%
3 1223
 
3.9%
7 1001
 
3.2%
6 974
 
3.1%
5 911
 
2.9%
4 910
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9435
30.1%
1 6259
20.0%
2 5609
17.9%
9 3222
 
10.3%
8 1288
 
4.1%
3 1223
 
3.9%
7 1001
 
3.2%
6 974
 
3.1%
5 911
 
2.9%
4 910
 
2.9%

인허가취소일자
Date

MISSING 

Distinct142
Distinct (%)35.1%
Missing3449
Missing (%)89.5%
Memory size30.2 KiB
Minimum2001-01-27 00:00:00
Maximum2023-05-09 00:00:00
2024-04-30T05:02:59.766265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:02:59.880054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
3
2455 
1
969 
4
425 
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2455
63.7%
1 969
 
25.1%
4 425
 
11.0%
2 5
 
0.1%

Length

2024-04-30T05:03:00.005234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:00.115366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2455
63.7%
1 969
 
25.1%
4 425
 
11.0%
2 5
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
폐업
2455 
영업/정상
969 
취소/말소/만료/정지/중지
425 
휴업
 
5

Length

Max length14
Median length2
Mean length4.0775817
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2455
63.7%
영업/정상 969
 
25.1%
취소/말소/만료/정지/중지 425
 
11.0%
휴업 5
 
0.1%

Length

2024-04-30T05:03:00.231318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:00.343796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2455
63.7%
영업/정상 969
 
25.1%
취소/말소/만료/정지/중지 425
 
11.0%
휴업 5
 
0.1%

상세영업상태코드
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.703944
Minimum0
Maximum5
Zeros969
Zeros (%)25.1%
Negative0
Negative (%)0.0%
Memory size34.0 KiB
2024-04-30T05:03:00.445523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.1918488
Coefficient of variation (CV)0.69946478
Kurtosis0.99194021
Mean1.703944
Median Absolute Deviation (MAD)0
Skewness0.38530531
Sum6567
Variance1.4205035
MonotonicityNot monotonic
2024-04-30T05:03:00.547696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 2455
63.7%
0 969
 
25.1%
3 235
 
6.1%
5 187
 
4.9%
1 5
 
0.1%
4 3
 
0.1%
ValueCountFrequency (%)
0 969
 
25.1%
1 5
 
0.1%
2 2455
63.7%
3 235
 
6.1%
4 3
 
0.1%
5 187
 
4.9%
ValueCountFrequency (%)
5 187
 
4.9%
4 3
 
0.1%
3 235
 
6.1%
2 2455
63.7%
1 5
 
0.1%
0 969
 
25.1%
Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
폐업처리
2455 
정상영업
969 
직권취소
 
235
지정취소
 
187
휴업처리
 
5

Length

Max length8
Median length4
Mean length4.0031136
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 2455
63.7%
정상영업 969
 
25.1%
직권취소 235
 
6.1%
지정취소 187
 
4.9%
휴업처리 5
 
0.1%
임시소매기간만료 3
 
0.1%

Length

2024-04-30T05:03:00.660973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:00.765201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 2455
63.7%
정상영업 969
 
25.1%
직권취소 235
 
6.1%
지정취소 187
 
4.9%
휴업처리 5
 
0.1%
임시소매기간만료 3
 
0.1%

폐업일자
Date

MISSING 

Distinct1802
Distinct (%)73.4%
Missing1399
Missing (%)36.3%
Memory size30.2 KiB
Minimum2001-01-09 00:00:00
Maximum2024-03-26 00:00:00
2024-04-30T05:03:00.863202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:00.977560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct93
Distinct (%)94.9%
Missing3756
Missing (%)97.5%
Memory size30.2 KiB
Minimum2001-01-04 00:00:00
Maximum2023-12-04 00:00:00
2024-04-30T05:03:01.098061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:01.230809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct93
Distinct (%)94.9%
Missing3756
Missing (%)97.5%
Memory size30.2 KiB
Minimum2001-05-15 00:00:00
Maximum2024-02-28 00:00:00
2024-04-30T05:03:01.353858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:01.472255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3854
Missing (%)100.0%
Memory size34.0 KiB

전화번호
Text

MISSING 

Distinct2021
Distinct (%)78.9%
Missing1293
Missing (%)33.5%
Memory size30.2 KiB
2024-04-30T05:03:01.683027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length9.9531433
Min length1

Characters and Unicode

Total characters25490
Distinct characters17
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1780 ?
Unique (%)69.5%

Sample

1st row1111111111
2nd row1
3rd row0222667343
4th row02 8122115
5th row11111111
ValueCountFrequency (%)
02 700
 
21.4%
0200000000 69
 
2.1%
0000000 57
 
1.7%
1111111111 20
 
0.6%
11111111 16
 
0.5%
111111111 14
 
0.4%
000000000000 12
 
0.4%
02-1577-0711 10
 
0.3%
0000000000 10
 
0.3%
1111111 9
 
0.3%
Other values (2024) 2357
72.0%
2024-04-30T05:03:02.043159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5938
23.3%
0 4622
18.1%
7 2328
 
9.1%
1 2041
 
8.0%
3 1916
 
7.5%
5 1649
 
6.5%
6 1578
 
6.2%
8 1280
 
5.0%
4 1230
 
4.8%
9 1222
 
4.8%
Other values (7) 1686
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23804
93.4%
Dash Punctuation 944
 
3.7%
Space Separator 715
 
2.8%
Other Punctuation 23
 
0.1%
Math Symbol 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5938
24.9%
0 4622
19.4%
7 2328
 
9.8%
1 2041
 
8.6%
3 1916
 
8.0%
5 1649
 
6.9%
6 1578
 
6.6%
8 1280
 
5.4%
4 1230
 
5.2%
9 1222
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 21
91.3%
, 2
 
8.7%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
= 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 944
100.0%
Space Separator
ValueCountFrequency (%)
715
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25490
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5938
23.3%
0 4622
18.1%
7 2328
 
9.1%
1 2041
 
8.0%
3 1916
 
7.5%
5 1649
 
6.5%
6 1578
 
6.2%
8 1280
 
5.0%
4 1230
 
4.8%
9 1222
 
4.8%
Other values (7) 1686
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25490
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5938
23.3%
0 4622
18.1%
7 2328
 
9.1%
1 2041
 
8.0%
3 1916
 
7.5%
5 1649
 
6.5%
6 1578
 
6.2%
8 1280
 
5.0%
4 1230
 
4.8%
9 1222
 
4.8%
Other values (7) 1686
 
6.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3854
Missing (%)100.0%
Memory size34.0 KiB

소재지우편번호
Text

MISSING 

Distinct222
Distinct (%)23.6%
Missing2912
Missing (%)75.6%
Memory size30.2 KiB
2024-04-30T05:03:02.300995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0403397
Min length6

Characters and Unicode

Total characters5690
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

Unique81 ?
Unique (%)8.6%

Sample

1st row100451
2nd row100835
3rd row100380
4th row100230
5th row100380
ValueCountFrequency (%)
100451 36
 
3.8%
100762 27
 
2.9%
100450 25
 
2.7%
100011 22
 
2.3%
100195 22
 
2.3%
100095 19
 
2.0%
100851 17
 
1.8%
100192 16
 
1.7%
100196 14
 
1.5%
100330 12
 
1.3%
Other values (212) 732
77.7%
2024-04-30T05:03:02.668662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2355
41.4%
1 1406
24.7%
8 328
 
5.8%
2 290
 
5.1%
4 270
 
4.7%
5 268
 
4.7%
3 202
 
3.6%
9 189
 
3.3%
7 185
 
3.3%
6 156
 
2.7%
Other values (2) 41
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5649
99.3%
Dash Punctuation 38
 
0.7%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2355
41.7%
1 1406
24.9%
8 328
 
5.8%
2 290
 
5.1%
4 270
 
4.8%
5 268
 
4.7%
3 202
 
3.6%
9 189
 
3.3%
7 185
 
3.3%
6 156
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5690
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2355
41.4%
1 1406
24.7%
8 328
 
5.8%
2 290
 
5.1%
4 270
 
4.7%
5 268
 
4.7%
3 202
 
3.6%
9 189
 
3.3%
7 185
 
3.3%
6 156
 
2.7%
Other values (2) 41
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2355
41.4%
1 1406
24.7%
8 328
 
5.8%
2 290
 
5.1%
4 270
 
4.7%
5 268
 
4.7%
3 202
 
3.6%
9 189
 
3.3%
7 185
 
3.3%
6 156
 
2.7%
Other values (2) 41
 
0.7%

지번주소
Text

MISSING 

Distinct3284
Distinct (%)89.2%
Missing172
Missing (%)4.5%
Memory size30.2 KiB
2024-04-30T05:03:03.094176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46
Mean length26.404128
Min length1

Characters and Unicode

Total characters97220
Distinct characters433
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

Unique2982 ?
Unique (%)81.0%

Sample

1st row서울특별시 중구 신당1동 250번지 31호
2nd row서울특별시 중구 신당2동 432번지 1055호
3rd row서울특별시 중구 묵정동 29번지 23호 동국빌딩1층
4th row서울특별시 중구 장충동2가 193번지 39호
5th row서울특별시 중구 소공동 87번지 1호 조선호텔 1층
ValueCountFrequency (%)
서울특별시 3678
 
17.7%
중구 3669
 
17.6%
신당동 594
 
2.9%
506
 
2.4%
1호 393
 
1.9%
1층 356
 
1.7%
을지로6가 250
 
1.2%
2호 227
 
1.1%
18번지 162
 
0.8%
3호 158
 
0.8%
Other values (2582) 10842
52.0%
2024-04-30T05:03:03.494711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20799
21.4%
1 4821
 
5.0%
3860
 
4.0%
3825
 
3.9%
3785
 
3.9%
3776
 
3.9%
3752
 
3.9%
3721
 
3.8%
3686
 
3.8%
3685
 
3.8%
Other values (423) 41510
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57674
59.3%
Space Separator 20799
 
21.4%
Decimal Number 17819
 
18.3%
Uppercase Letter 321
 
0.3%
Dash Punctuation 306
 
0.3%
Other Punctuation 100
 
0.1%
Lowercase Letter 70
 
0.1%
Close Punctuation 63
 
0.1%
Open Punctuation 61
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3860
 
6.7%
3825
 
6.6%
3785
 
6.6%
3776
 
6.5%
3752
 
6.5%
3721
 
6.5%
3686
 
6.4%
3685
 
6.4%
3658
 
6.3%
2832
 
4.9%
Other values (363) 21094
36.6%
Uppercase Letter
ValueCountFrequency (%)
B 80
24.9%
D 47
14.6%
A 45
14.0%
C 25
 
7.8%
K 15
 
4.7%
S 14
 
4.4%
T 13
 
4.0%
P 12
 
3.7%
M 11
 
3.4%
I 9
 
2.8%
Other values (12) 50
15.6%
Lowercase Letter
ValueCountFrequency (%)
e 12
17.1%
a 11
15.7%
s 11
15.7%
r 6
8.6%
l 5
7.1%
o 4
 
5.7%
n 4
 
5.7%
t 4
 
5.7%
g 2
 
2.9%
m 2
 
2.9%
Other values (8) 9
12.9%
Decimal Number
ValueCountFrequency (%)
1 4821
27.1%
2 2970
16.7%
3 1844
 
10.3%
4 1438
 
8.1%
5 1377
 
7.7%
6 1251
 
7.0%
0 1192
 
6.7%
7 1049
 
5.9%
8 977
 
5.5%
9 900
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 56
56.0%
/ 39
39.0%
. 5
 
5.0%
Math Symbol
ValueCountFrequency (%)
~ 5
71.4%
< 1
 
14.3%
> 1
 
14.3%
Space Separator
ValueCountFrequency (%)
20799
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 306
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57674
59.3%
Common 39155
40.3%
Latin 391
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3860
 
6.7%
3825
 
6.6%
3785
 
6.6%
3776
 
6.5%
3752
 
6.5%
3721
 
6.5%
3686
 
6.4%
3685
 
6.4%
3658
 
6.3%
2832
 
4.9%
Other values (363) 21094
36.6%
Latin
ValueCountFrequency (%)
B 80
20.5%
D 47
12.0%
A 45
 
11.5%
C 25
 
6.4%
K 15
 
3.8%
S 14
 
3.6%
T 13
 
3.3%
e 12
 
3.1%
P 12
 
3.1%
a 11
 
2.8%
Other values (30) 117
29.9%
Common
ValueCountFrequency (%)
20799
53.1%
1 4821
 
12.3%
2 2970
 
7.6%
3 1844
 
4.7%
4 1438
 
3.7%
5 1377
 
3.5%
6 1251
 
3.2%
0 1192
 
3.0%
7 1049
 
2.7%
8 977
 
2.5%
Other values (10) 1437
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57674
59.3%
ASCII 39546
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20799
52.6%
1 4821
 
12.2%
2 2970
 
7.5%
3 1844
 
4.7%
4 1438
 
3.6%
5 1377
 
3.5%
6 1251
 
3.2%
0 1192
 
3.0%
7 1049
 
2.7%
8 977
 
2.5%
Other values (50) 1828
 
4.6%
Hangul
ValueCountFrequency (%)
3860
 
6.7%
3825
 
6.6%
3785
 
6.6%
3776
 
6.5%
3752
 
6.5%
3721
 
6.5%
3686
 
6.4%
3685
 
6.4%
3658
 
6.3%
2832
 
4.9%
Other values (363) 21094
36.6%

도로명주소
Text

MISSING 

Distinct2755
Distinct (%)82.8%
Missing527
Missing (%)13.7%
Memory size30.2 KiB
2024-04-30T05:03:03.784023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length54
Mean length30.498046
Min length18

Characters and Unicode

Total characters101467
Distinct characters443
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

Unique2355 ?
Unique (%)70.8%

Sample

1st row서울특별시 중구 퇴계로 379 (신당동)
2nd row서울특별시 중구 서애로1길 35 (묵정동,동국빌딩1층)
3rd row서울특별시 중구 퇴계로50길 59 (장충동2가)
4th row서울특별시 중구 남대문로 17-1 (남대문로3가)
5th row서울특별시 중구 동호로15가길 20, 1층 (신당동)
ValueCountFrequency (%)
서울특별시 3327
 
16.9%
중구 3306
 
16.8%
1층 693
 
3.5%
신당동 521
 
2.6%
퇴계로 309
 
1.6%
장충단로 187
 
0.9%
을지로 178
 
0.9%
지하1층 161
 
0.8%
다산로 136
 
0.7%
청계천로 111
 
0.6%
Other values (2623) 10792
54.7%
2024-04-30T05:03:04.200639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16406
 
16.2%
1 4692
 
4.6%
4249
 
4.2%
3615
 
3.6%
3490
 
3.4%
3431
 
3.4%
3423
 
3.4%
3378
 
3.3%
) 3373
 
3.3%
( 3371
 
3.3%
Other values (433) 52039
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58680
57.8%
Space Separator 16406
 
16.2%
Decimal Number 16066
 
15.8%
Close Punctuation 3373
 
3.3%
Open Punctuation 3371
 
3.3%
Other Punctuation 2445
 
2.4%
Dash Punctuation 584
 
0.6%
Uppercase Letter 460
 
0.5%
Lowercase Letter 68
 
0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4249
 
7.2%
3615
 
6.2%
3490
 
5.9%
3431
 
5.8%
3423
 
5.8%
3378
 
5.8%
3338
 
5.7%
3335
 
5.7%
2881
 
4.9%
2031
 
3.5%
Other values (371) 25509
43.5%
Uppercase Letter
ValueCountFrequency (%)
B 128
27.8%
A 48
 
10.4%
D 46
 
10.0%
C 33
 
7.2%
E 20
 
4.3%
M 19
 
4.1%
S 19
 
4.1%
P 19
 
4.1%
T 15
 
3.3%
K 14
 
3.0%
Other values (13) 99
21.5%
Lowercase Letter
ValueCountFrequency (%)
e 12
17.6%
a 11
16.2%
s 9
13.2%
r 5
7.4%
t 5
7.4%
l 5
7.4%
n 4
 
5.9%
o 3
 
4.4%
p 3
 
4.4%
m 2
 
2.9%
Other values (8) 9
13.2%
Decimal Number
ValueCountFrequency (%)
1 4692
29.2%
2 2701
16.8%
3 1749
 
10.9%
4 1257
 
7.8%
0 1191
 
7.4%
6 1093
 
6.8%
5 1083
 
6.7%
7 820
 
5.1%
8 820
 
5.1%
9 660
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 2408
98.5%
/ 32
 
1.3%
. 3
 
0.1%
& 1
 
< 0.1%
# 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
16406
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3373
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3371
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 584
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58680
57.8%
Common 42258
41.6%
Latin 529
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4249
 
7.2%
3615
 
6.2%
3490
 
5.9%
3431
 
5.8%
3423
 
5.8%
3378
 
5.8%
3338
 
5.7%
3335
 
5.7%
2881
 
4.9%
2031
 
3.5%
Other values (371) 25509
43.5%
Latin
ValueCountFrequency (%)
B 128
24.2%
A 48
 
9.1%
D 46
 
8.7%
C 33
 
6.2%
E 20
 
3.8%
M 19
 
3.6%
S 19
 
3.6%
P 19
 
3.6%
T 15
 
2.8%
K 14
 
2.6%
Other values (32) 168
31.8%
Common
ValueCountFrequency (%)
16406
38.8%
1 4692
 
11.1%
) 3373
 
8.0%
( 3371
 
8.0%
2 2701
 
6.4%
, 2408
 
5.7%
3 1749
 
4.1%
4 1257
 
3.0%
0 1191
 
2.8%
6 1093
 
2.6%
Other values (10) 4017
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58680
57.8%
ASCII 42786
42.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16406
38.3%
1 4692
 
11.0%
) 3373
 
7.9%
( 3371
 
7.9%
2 2701
 
6.3%
, 2408
 
5.6%
3 1749
 
4.1%
4 1257
 
2.9%
0 1191
 
2.8%
6 1093
 
2.6%
Other values (51) 4545
 
10.6%
Hangul
ValueCountFrequency (%)
4249
 
7.2%
3615
 
6.2%
3490
 
5.9%
3431
 
5.8%
3423
 
5.8%
3378
 
5.8%
3338
 
5.7%
3335
 
5.7%
2881
 
4.9%
2031
 
3.5%
Other values (371) 25509
43.5%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct311
Distinct (%)23.9%
Missing2552
Missing (%)66.2%
Memory size30.2 KiB
2024-04-30T05:03:04.517618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4354839
Min length5

Characters and Unicode

Total characters7077
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

Unique93 ?
Unique (%)7.1%

Sample

1st row04604
2nd row04541
3rd row04562
4th row100846
5th row100095
ValueCountFrequency (%)
04563 25
 
1.9%
100451 23
 
1.8%
04568 18
 
1.4%
04536 17
 
1.3%
04516 16
 
1.2%
04537 16
 
1.2%
100450 15
 
1.2%
04559 15
 
1.2%
100762 15
 
1.2%
04520 14
 
1.1%
Other values (301) 1128
86.6%
2024-04-30T05:03:04.920312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2265
32.0%
4 1062
15.0%
1 971
13.7%
5 858
 
12.1%
6 442
 
6.2%
8 335
 
4.7%
3 327
 
4.6%
2 304
 
4.3%
7 273
 
3.9%
9 215
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7052
99.6%
Dash Punctuation 25
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2265
32.1%
4 1062
15.1%
1 971
13.8%
5 858
 
12.2%
6 442
 
6.3%
8 335
 
4.8%
3 327
 
4.6%
2 304
 
4.3%
7 273
 
3.9%
9 215
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7077
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2265
32.0%
4 1062
15.0%
1 971
13.7%
5 858
 
12.1%
6 442
 
6.2%
8 335
 
4.7%
3 327
 
4.6%
2 304
 
4.3%
7 273
 
3.9%
9 215
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7077
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2265
32.0%
4 1062
15.0%
1 971
13.7%
5 858
 
12.1%
6 442
 
6.2%
8 335
 
4.7%
3 327
 
4.6%
2 304
 
4.3%
7 273
 
3.9%
9 215
 
3.0%
Distinct2390
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
2024-04-30T05:03:05.112662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length5.7527244
Min length1

Characters and Unicode

Total characters22171
Distinct characters624
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2048 ?
Unique (%)53.1%

Sample

1st row가판점
2nd row성창슈퍼
3rd row코리아세븐동국대2호점
4th row
5th row션드리?
ValueCountFrequency (%)
807
 
16.6%
씨유 189
 
3.9%
gs25 94
 
1.9%
세븐일레븐 90
 
1.9%
매점 76
 
1.6%
주)코리아세븐 54
 
1.1%
지에스25 43
 
0.9%
훼미리마트 37
 
0.8%
이마트24 36
 
0.7%
구내매점 33
 
0.7%
Other values (2427) 3405
70.0%
2024-04-30T05:03:05.410078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1348
 
6.1%
1012
 
4.6%
912
 
4.1%
482
 
2.2%
2 423
 
1.9%
363
 
1.6%
357
 
1.6%
349
 
1.6%
5 339
 
1.5%
327
 
1.5%
Other values (614) 16259
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18654
84.1%
Decimal Number 1053
 
4.7%
Space Separator 1012
 
4.6%
Uppercase Letter 779
 
3.5%
Open Punctuation 286
 
1.3%
Close Punctuation 286
 
1.3%
Lowercase Letter 58
 
0.3%
Other Punctuation 26
 
0.1%
Dash Punctuation 16
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1348
 
7.2%
912
 
4.9%
482
 
2.6%
363
 
1.9%
357
 
1.9%
349
 
1.9%
327
 
1.8%
321
 
1.7%
294
 
1.6%
289
 
1.5%
Other values (552) 13612
73.0%
Uppercase Letter
ValueCountFrequency (%)
S 246
31.6%
G 230
29.5%
C 44
 
5.6%
A 32
 
4.1%
U 25
 
3.2%
D 18
 
2.3%
M 17
 
2.2%
E 15
 
1.9%
L 15
 
1.9%
Y 14
 
1.8%
Other values (14) 123
15.8%
Lowercase Letter
ValueCountFrequency (%)
e 10
17.2%
a 7
12.1%
t 5
8.6%
o 5
8.6%
r 4
 
6.9%
f 4
 
6.9%
s 4
 
6.9%
m 4
 
6.9%
n 3
 
5.2%
p 2
 
3.4%
Other values (8) 10
17.2%
Decimal Number
ValueCountFrequency (%)
2 423
40.2%
5 339
32.2%
4 92
 
8.7%
1 66
 
6.3%
3 35
 
3.3%
7 27
 
2.6%
0 25
 
2.4%
6 22
 
2.1%
8 15
 
1.4%
9 9
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 10
38.5%
, 8
30.8%
/ 4
 
15.4%
& 2
 
7.7%
? 2
 
7.7%
Space Separator
ValueCountFrequency (%)
1012
100.0%
Open Punctuation
ValueCountFrequency (%)
( 286
100.0%
Close Punctuation
ValueCountFrequency (%)
) 286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18655
84.1%
Common 2679
 
12.1%
Latin 837
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1348
 
7.2%
912
 
4.9%
482
 
2.6%
363
 
1.9%
357
 
1.9%
349
 
1.9%
327
 
1.8%
321
 
1.7%
294
 
1.6%
289
 
1.5%
Other values (553) 13613
73.0%
Latin
ValueCountFrequency (%)
S 246
29.4%
G 230
27.5%
C 44
 
5.3%
A 32
 
3.8%
U 25
 
3.0%
D 18
 
2.2%
M 17
 
2.0%
E 15
 
1.8%
L 15
 
1.8%
Y 14
 
1.7%
Other values (32) 181
21.6%
Common
ValueCountFrequency (%)
1012
37.8%
2 423
15.8%
5 339
 
12.7%
( 286
 
10.7%
) 286
 
10.7%
4 92
 
3.4%
1 66
 
2.5%
3 35
 
1.3%
7 27
 
1.0%
0 25
 
0.9%
Other values (9) 88
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18654
84.1%
ASCII 3516
 
15.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1348
 
7.2%
912
 
4.9%
482
 
2.6%
363
 
1.9%
357
 
1.9%
349
 
1.9%
327
 
1.8%
321
 
1.7%
294
 
1.6%
289
 
1.5%
Other values (552) 13612
73.0%
ASCII
ValueCountFrequency (%)
1012
28.8%
2 423
12.0%
5 339
 
9.6%
( 286
 
8.1%
) 286
 
8.1%
S 246
 
7.0%
G 230
 
6.5%
4 92
 
2.6%
1 66
 
1.9%
C 44
 
1.3%
Other values (51) 492
14.0%
None
ValueCountFrequency (%)
1
100.0%
Distinct2703
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
Minimum2007-07-11 11:22:11
Maximum2024-04-24 17:33:02
2024-04-30T05:03:05.580808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:05.696457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
I
3128 
U
726 

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 3128
81.2%
U 726
 
18.8%

Length

2024-04-30T05:03:05.793572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:05.872392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3128
81.2%
u 726
 
18.8%
Distinct606
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-30T05:03:05.966043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:06.102429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3854
Missing (%)100.0%
Memory size34.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1610
Distinct (%)47.0%
Missing426
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean199512.34
Minimum190119.73
Maximum205459.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.0 KiB
2024-04-30T05:03:06.242847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190119.73
5-th percentile197305.69
Q1198306.91
median199521.2
Q3200691.81
95-th percentile201652.2
Maximum205459.25
Range15339.517
Interquartile range (IQR)2384.9029

Descriptive statistics

Standard deviation1410.7033
Coefficient of variation (CV)0.0070707572
Kurtosis-0.28563913
Mean199512.34
Median Absolute Deviation (MAD)1183.1052
Skewness-0.16473906
Sum6.8392831 × 108
Variance1990083.9
MonotonicityNot monotonic
2024-04-30T05:03:06.364193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200664.582936542 50
 
1.3%
200613.510297669 38
 
1.0%
200573.641273539 35
 
0.9%
198562.632745775 23
 
0.6%
200703.625559248 23
 
0.6%
197243.215346366 20
 
0.5%
201236.031514508 19
 
0.5%
201250.876993355 17
 
0.4%
198259.65357739 15
 
0.4%
198126.501924718 13
 
0.3%
Other values (1600) 3175
82.4%
(Missing) 426
 
11.1%
ValueCountFrequency (%)
190119.734954633 1
 
< 0.1%
192260.299912091 1
 
< 0.1%
193816.116765842 1
 
< 0.1%
194039.375933757 1
 
< 0.1%
196606.636582259 1
 
< 0.1%
196619.953130724 1
 
< 0.1%
196655.581895878 3
0.1%
196690.774845982 1
 
< 0.1%
196697.116895888 1
 
< 0.1%
196700.055871163 2
0.1%
ValueCountFrequency (%)
205459.251726378 1
 
< 0.1%
202398.594377612 1
 
< 0.1%
202284.404477939 1
 
< 0.1%
202275.274635685 1
 
< 0.1%
202269.529188403 1
 
< 0.1%
202217.581174823 1
 
< 0.1%
202207.966958973 2
0.1%
202128.136971071 4
0.1%
202070.133584593 1
 
< 0.1%
202056.941837667 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1609
Distinct (%)46.9%
Missing426
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean451202.01
Minimum442265.51
Maximum471254.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.0 KiB
2024-04-30T05:03:06.488793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442265.51
5-th percentile450229.29
Q1450916.44
median451267.61
Q3451583.84
95-th percentile451838.44
Maximum471254.7
Range28989.189
Interquartile range (IQR)667.39453

Descriptive statistics

Standard deviation632.83872
Coefficient of variation (CV)0.0014025618
Kurtosis307.10728
Mean451202.01
Median Absolute Deviation (MAD)337.99065
Skewness7.8934701
Sum1.5467205 × 109
Variance400484.85
MonotonicityNot monotonic
2024-04-30T05:03:06.623116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451781.8683954 50
 
1.3%
451817.515366883 38
 
1.0%
451621.036467544 35
 
0.9%
451836.458256618 23
 
0.6%
450975.116406048 23
 
0.6%
450655.104239931 22
 
0.6%
451872.409388295 19
 
0.5%
451908.773811626 17
 
0.4%
451392.198218657 15
 
0.4%
451827.973207366 13
 
0.3%
Other values (1599) 3173
82.3%
(Missing) 426
 
11.1%
ValueCountFrequency (%)
442265.511556178 1
 
< 0.1%
446513.394643464 1
 
< 0.1%
446762.160723796 1
 
< 0.1%
447552.774477998 1
 
< 0.1%
447864.763737276 1
 
< 0.1%
449562.218888591 2
 
0.1%
449593.086899 1
 
< 0.1%
449608.877664161 2
 
0.1%
449611.221496994 1
 
< 0.1%
449638.824308081 11
0.3%
ValueCountFrequency (%)
471254.700506907 1
 
< 0.1%
455299.741876994 1
 
< 0.1%
452692.508806554 1
 
< 0.1%
452076.818664092 7
0.2%
452026.206096556 1
 
< 0.1%
452025.526057499 1
 
< 0.1%
452016.629661945 1
 
< 0.1%
452007.346146363 1
 
< 0.1%
452002.73062535 1
 
< 0.1%
452001.282161008 2
 
0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1528
Distinct (%)65.3%
Missing1515
Missing (%)39.3%
Infinite0
Infinite (%)0.0%
Mean20086570
Minimum19700202
Maximum20220323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.0 KiB
2024-04-30T05:03:06.753972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19700202
5-th percentile19970721
Q120040621
median20090731
Q320141031
95-th percentile20190808
Maximum20220323
Range520121
Interquartile range (IQR)100410

Descriptive statistics

Standard deviation72036.939
Coefficient of variation (CV)0.0035863235
Kurtosis0.16777432
Mean20086570
Median Absolute Deviation (MAD)50297
Skewness-0.48698548
Sum4.6982488 × 1010
Variance5.1893206 × 109
MonotonicityNot monotonic
2024-04-30T05:03:06.871037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990101 60
 
1.6%
19981209 10
 
0.3%
19981205 9
 
0.2%
19981214 8
 
0.2%
19890701 8
 
0.2%
19981216 8
 
0.2%
19981211 7
 
0.2%
20090703 7
 
0.2%
19981130 6
 
0.2%
20080215 6
 
0.2%
Other values (1518) 2210
57.3%
(Missing) 1515
39.3%
ValueCountFrequency (%)
19700202 1
< 0.1%
19740701 1
< 0.1%
19790630 1
< 0.1%
19801101 1
< 0.1%
19810825 1
< 0.1%
19830211 1
< 0.1%
19870101 1
< 0.1%
19890101 1
< 0.1%
19890315 1
< 0.1%
19890330 1
< 0.1%
ValueCountFrequency (%)
20220323 1
 
< 0.1%
20220321 1
 
< 0.1%
20220317 1
 
< 0.1%
20220218 1
 
< 0.1%
20220211 3
0.1%
20220210 1
 
< 0.1%
20220204 2
0.1%
20220110 2
0.1%
20220107 1
 
< 0.1%
20211227 1
 
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
<NA>
1515 
2009년11월법개정전자료
1145 
제7조의3제2항에따른경우
643 
제7조의3제3항에따른경우
551 

Length

Max length14
Median length13
Mean length9.7592112
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1515
39.3%
2009년11월법개정전자료 1145
29.7%
제7조의3제2항에따른경우 643
16.7%
제7조의3제3항에따른경우 551
 
14.3%

Length

2024-04-30T05:03:06.995151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:07.094874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1515
39.3%
2009년11월법개정전자료 1145
29.7%
제7조의3제2항에따른경우 643
16.7%
제7조의3제3항에따른경우 551
 
14.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
0301000030101000560030319801101<NA>3폐업2폐업처리20100303<NA><NA><NA><NA><NA>100451서울특별시 중구 신당1동 250번지 31호서울특별시 중구 퇴계로 379 (신당동)<NA>가판점2010-03-03 18:08:45I2018-08-31 23:59:59.0<NA>201131.676055451442.823564198011012009년11월법개정전자료
13010000130101000560100119900101<NA>3폐업2폐업처리20100219<NA><NA><NA>1111111111<NA>100835서울특별시 중구 신당2동 432번지 1055호<NA><NA>성창슈퍼2010-02-19 17:54:24I2018-08-31 23:59:59.0<NA><NA><NA>199001012009년11월법개정전자료
23010000190030101000560010020100617<NA>3폐업2폐업처리20100617<NA><NA><NA>1<NA>100380서울특별시 중구 묵정동 29번지 23호 동국빌딩1층서울특별시 중구 서애로1길 35 (묵정동,동국빌딩1층)<NA>코리아세븐동국대2호점2010-06-17 16:29:46I2018-08-31 23:59:59.0<NA>199933.154169450973.073969201006172009년11월법개정전자료
33010000198830100710560141419880326<NA>3폐업2폐업처리20021101<NA><NA><NA>0222667343<NA><NA>서울특별시 중구 장충동2가 193번지 39호서울특별시 중구 퇴계로50길 59 (장충동2가)<NA>2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>200048.249046450855.69518<NA><NA>
43010000198930100710560013619890701<NA>3폐업2폐업처리20030103<NA><NA><NA>02 8122115<NA><NA>서울특별시 중구 소공동 87번지 1호 조선호텔 1층<NA><NA>션드리?2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>198172.151119451350.969223<NA><NA>
53010000198930101000560000119890701<NA>3폐업2폐업처리20071227<NA><NA><NA><NA><NA>100230서울특별시 중구 수표동 65번지 3호<NA><NA>수표식품2007-12-27 14:24:32I2018-08-31 23:59:59.0<NA><NA><NA>198907012009년11월법개정전자료
63010000198930101000560000719890701<NA>3폐업2폐업처리20110110<NA><NA><NA>11111111<NA>100380서울특별시 중구 묵정동 31번지 2호<NA><NA>돼지식품2011-01-10 14:52:03I2018-08-31 23:59:59.0<NA>199930.587375451033.309287198907012009년11월법개정전자료
73010000198930101000560001119890701<NA>3폐업2폐업처리20080917<NA><NA><NA>2236-3208<NA>100451서울특별시 중구 신당동 204번지 26호<NA><NA>호남식품2008-09-17 10:23:08I2018-08-31 23:59:59.0<NA><NA><NA>198907012009년11월법개정전자료
83010000198930101000560016119891219<NA>1영업/정상0정상영업<NA><NA><NA><NA>773-7623<NA>100092서울특별시 중구 남대문로2가 140번지 1호 가판점<NA><NA>가로판매대532009-06-11 10:26:06I2018-08-31 23:59:59.0<NA>198377.189799451457.016602198912192009년11월법개정전자료
93010000198930101000560016219890701<NA>1영업/정상0정상영업<NA><NA><NA><NA>02-752-4805<NA>000서울특별시 중구 남대문로3가 85번지 1호 2통 4반서울특별시 중구 남대문로 17-1 (남대문로3가)<NA>창흥상회2012-12-04 16:46:05I2018-08-31 23:59:59.0<NA>197964.217707450994.773403198907012009년11월법개정전자료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
3844301000020243010205056000072024-02-22<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남산동2가 24-1서울특별시 중구 소파로 125 (남산동2가)04629세븐일레븐 숭의여대점2024-02-23 08:24:46I2023-12-01 22:06:00.0<NA>198796.838609450687.231199<NA><NA>
3845301000020243010205056000082024-03-04<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로6가 17-11 통일의류종합상가서울특별시 중구 청계천로 260-6, 통일의류종합상가 B동 1층 49-1호 (을지로6가)04563커라식품2024-03-04 15:41:40I2023-12-03 00:06:00.0<NA>200473.201661451879.844619<NA><NA>
3846301000020243010205056000092024-03-08<NA>1영업/정상0정상영업<NA><NA><NA><NA>02-3409-2971<NA><NA>서울특별시 중구 예관동 120-1 중구청서울특별시 중구 창경궁로 17, 중구청 지하1층 (예관동)04558주식회사 호박패밀리 중구지점2024-04-22 13:37:49U2023-12-03 22:04:00.0<NA>199732.248739451272.806325<NA><NA>
3847301000020243010205056000102024-03-15<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로2가 206 IBK파이낸스타워서울특별시 중구 을지로 82, IBK파이낸스타워 27층 (을지로2가)04538씨유 아이비케이기업은행본점2024-03-15 15:10:36I2023-12-02 23:07:00.0<NA>198791.046999451496.52816<NA><NA>
3848301000020243010205056000112024-03-20<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 명동1가 1-3 YWCA연합회서울특별시 중구 명동길 73, YWCA연합회 (명동1가)04538씨유 뉴명동YWCA점2024-03-22 08:53:36I2023-12-02 22:04:00.0<NA>198712.290937451344.614137<NA><NA>
3849301000020243010205056000122024-03-22<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 쌍림동 148-2서울특별시 중구 퇴계로 290 (쌍림동)04615지에스(GS)25 쌍림중앙점2024-03-25 09:43:14I2023-12-02 22:07:00.0<NA>200273.106026451226.152682<NA><NA>
3850301000020243010205056000132024-03-26<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 217-91 청평화시장서울특별시 중구 청계천로 334, 청평화시장 1층 라33호 (신당동)04568파주식품2024-03-27 14:49:09I2023-12-02 22:09:00.0<NA>201250.876993451908.773812<NA><NA>
3851301000020243010205056000142024-03-29<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 646-2서울특별시 중구 난계로11길 43 (황학동)04575(주)코리아세븐 황학주민센터점2024-03-29 16:25:02I2023-12-02 21:01:00.0<NA>201830.544708451627.239443<NA><NA>
3852301000020243010205056000152024-04-09<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남대문로3가 110서울특별시 중구 남대문로 39, 4층 (남대문로3가)04531(주)비지에프리테일 한국은행점2024-04-22 13:36:04U2023-12-03 22:04:00.0<NA>198162.595386451097.082869<NA><NA>
38533010000999930101000560202619700202<NA>3폐업2폐업처리20100226<NA><NA><NA>777-0321<NA>100095서울특별시 중구 남대문로5가 192번지<NA><NA>부여상회2010-02-26 18:01:09I2018-08-31 23:59:59.0<NA>197750.275208450605.923223197002022009년11월법개정전자료