Overview

Dataset statistics

Number of variables27
Number of observations5140
Missing cells42889
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory226.0 B

Variable types

Categorical6
Numeric5
Text8
DateTime5
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-19925/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태명 is highly imbalanced (51.5%)Imbalance
인허가취소일자 has 4643 (90.3%) missing valuesMissing
폐업일자 has 1536 (29.9%) missing valuesMissing
휴업시작일자 has 4986 (97.0%) missing valuesMissing
휴업종료일자 has 4986 (97.0%) missing valuesMissing
재개업일자 has 5140 (100.0%) missing valuesMissing
전화번호 has 1693 (32.9%) missing valuesMissing
소재지면적 has 5140 (100.0%) missing valuesMissing
소재지우편번호 has 3550 (69.1%) missing valuesMissing
도로명주소 has 470 (9.1%) missing valuesMissing
도로명우편번호 has 3147 (61.2%) missing valuesMissing
업태구분명 has 5140 (100.0%) missing valuesMissing
좌표정보(X) has 218 (4.2%) missing valuesMissing
좌표정보(Y) has 218 (4.2%) missing valuesMissing
지정일자 has 2015 (39.2%) missing valuesMissing
관리번호 is highly skewed (γ1 = -53.27409035)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 1030 (20.0%) zerosZeros

Reproduction

Analysis started2024-04-29 20:03:25.150405
Analysis finished2024-04-29 20:03:26.539042
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
3230000
5140 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 5140
100.0%

Length

2024-04-30T05:03:26.614056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:26.689106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 5140
100.0%

관리번호
Real number (ℝ)

SKEWED  UNIQUE 

Distinct5140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0064944 × 1018
Minimum3.2301981 × 1014
Maximum2.024323 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-30T05:03:26.824106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2301981 × 1014
5-th percentile1.989323 × 1018
Q12.002323 × 1018
median2.007323 × 1018
Q32.014323 × 1018
95-th percentile2.021323 × 1018
Maximum2.024323 × 1018
Range2.024 × 1018
Interquartile range (IQR)1.2000012 × 1016

Descriptive statistics

Standard deviation3.1558119 × 1016
Coefficient of variation (CV)0.015727987
Kurtosis3262.0725
Mean2.0064944 × 1018
Median Absolute Deviation (MAD)6.0000053 × 1015
Skewness-53.27409
Sum1.6513573 × 1018
Variance9.9591488 × 1032
MonotonicityStrictly increasing
2024-04-30T05:03:26.956027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
323019805600000 1
 
< 0.1%
2011323019805600027 1
 
< 0.1%
2011323019805600085 1
 
< 0.1%
2011323019805600084 1
 
< 0.1%
2011323019805600083 1
 
< 0.1%
2011323019805600082 1
 
< 0.1%
2011323019805600081 1
 
< 0.1%
2011323019805600080 1
 
< 0.1%
2011323019805600079 1
 
< 0.1%
2011323019805600078 1
 
< 0.1%
Other values (5130) 5130
99.8%
ValueCountFrequency (%)
323019805600000 1
< 0.1%
1199323000005600057 1
< 0.1%
1973323007805600030 1
< 0.1%
1976323007805600026 1
< 0.1%
1976323007805600027 1
< 0.1%
1976323007805600029 1
< 0.1%
1979323007805600225 1
< 0.1%
1979323007805600237 1
< 0.1%
1979323007805600243 1
< 0.1%
1980323007805600085 1
< 0.1%
ValueCountFrequency (%)
2024323029105600018 1
< 0.1%
2024323029105600017 1
< 0.1%
2024323029105600016 1
< 0.1%
2024323029105600015 1
< 0.1%
2024323029105600014 1
< 0.1%
2024323029105600013 1
< 0.1%
2024323029105600012 1
< 0.1%
2024323029105600011 1
< 0.1%
2024323029105600010 1
< 0.1%
2024323029105600009 1
< 0.1%
Distinct3310
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
2024-04-30T05:03:27.217074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.163035
Min length8

Characters and Unicode

Total characters41958
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

Unique2247 ?
Unique (%)43.7%

Sample

1st row20000513
2nd row19930809
3rd row19731213
4th row19760217
5th row19760329
ValueCountFrequency (%)
19890930 28
 
0.5%
19890929 27
 
0.5%
19890928 22
 
0.4%
20100615 20
 
0.4%
19890927 19
 
0.4%
19970708 19
 
0.4%
19890912 16
 
0.3%
19891004 12
 
0.2%
20030313 12
 
0.2%
20101121 11
 
0.2%
Other values (3301) 4955
96.4%
2024-04-30T05:03:27.580193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13130
31.3%
2 8159
19.4%
1 7393
17.6%
9 3241
 
7.7%
8 1806
 
4.3%
3 1765
 
4.2%
6 1443
 
3.4%
4 1421
 
3.4%
7 1407
 
3.4%
5 1353
 
3.2%
Other values (2) 840
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41118
98.0%
Dash Punctuation 838
 
2.0%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13130
31.9%
2 8159
19.8%
1 7393
18.0%
9 3241
 
7.9%
8 1806
 
4.4%
3 1765
 
4.3%
6 1443
 
3.5%
4 1421
 
3.5%
7 1407
 
3.4%
5 1353
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 838
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41958
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13130
31.3%
2 8159
19.4%
1 7393
17.6%
9 3241
 
7.7%
8 1806
 
4.3%
3 1765
 
4.2%
6 1443
 
3.4%
4 1421
 
3.4%
7 1407
 
3.4%
5 1353
 
3.2%
Other values (2) 840
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13130
31.3%
2 8159
19.4%
1 7393
17.6%
9 3241
 
7.7%
8 1806
 
4.3%
3 1765
 
4.2%
6 1443
 
3.4%
4 1421
 
3.4%
7 1407
 
3.4%
5 1353
 
3.2%
Other values (2) 840
 
2.0%

인허가취소일자
Date

MISSING 

Distinct181
Distinct (%)36.4%
Missing4643
Missing (%)90.3%
Memory size40.3 KiB
Minimum1997-08-03 00:00:00
Maximum2024-04-18 00:00:00
2024-04-30T05:03:27.712751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:27.847283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
3
3604 
1
1030 
4
505 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 3604
70.1%
1 1030
 
20.0%
4 505
 
9.8%
2 1
 
< 0.1%

Length

2024-04-30T05:03:27.964769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:28.054343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3604
70.1%
1 1030
 
20.0%
4 505
 
9.8%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
폐업
3604 
영업/정상
1030 
취소/말소/만료/정지/중지
505 
휴업
 
1

Length

Max length14
Median length2
Mean length3.7801556
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3604
70.1%
영업/정상 1030
 
20.0%
취소/말소/만료/정지/중지 505
 
9.8%
휴업 1
 
< 0.1%

Length

2024-04-30T05:03:28.157081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:28.251640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3604
70.1%
영업/정상 1030
 
20.0%
취소/말소/만료/정지/중지 505
 
9.8%
휴업 1
 
< 0.1%

상세영업상태코드
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.768677
Minimum0
Maximum5
Zeros1030
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-30T05:03:28.332067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q32
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0638277
Coefficient of variation (CV)0.60148215
Kurtosis1.6743018
Mean1.768677
Median Absolute Deviation (MAD)0
Skewness0.1805592
Sum9091
Variance1.1317293
MonotonicityNot monotonic
2024-04-30T05:03:28.438472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 3604
70.1%
0 1030
 
20.0%
3 320
 
6.2%
5 182
 
3.5%
4 3
 
0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
0 1030
 
20.0%
1 1
 
< 0.1%
2 3604
70.1%
3 320
 
6.2%
4 3
 
0.1%
5 182
 
3.5%
ValueCountFrequency (%)
5 182
 
3.5%
4 3
 
0.1%
3 320
 
6.2%
2 3604
70.1%
1 1
 
< 0.1%
0 1030
 
20.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
폐업처리
3604 
정상영업
1030 
직권취소
 
320
지정취소
 
182
임시소매기간만료
 
3

Length

Max length8
Median length4
Mean length4.0023346
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 3604
70.1%
정상영업 1030
 
20.0%
직권취소 320
 
6.2%
지정취소 182
 
3.5%
임시소매기간만료 3
 
0.1%
휴업처리 1
 
< 0.1%

Length

2024-04-30T05:03:28.563587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:28.657179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 3604
70.1%
정상영업 1030
 
20.0%
직권취소 320
 
6.2%
지정취소 182
 
3.5%
임시소매기간만료 3
 
0.1%
휴업처리 1
 
< 0.1%

폐업일자
Text

MISSING 

Distinct2521
Distinct (%)70.0%
Missing1536
Missing (%)29.9%
Memory size40.3 KiB
2024-04-30T05:03:28.920417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.054939
Min length8

Characters and Unicode

Total characters29030
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

Unique1749 ?
Unique (%)48.5%

Sample

1st row20140304
2nd row20100128
3rd row20050203
4th row20030603
5th row20011017
ValueCountFrequency (%)
20150519 14
 
0.4%
20091116 12
 
0.3%
20030623 10
 
0.3%
20040330 10
 
0.3%
20101109 10
 
0.3%
20070104 9
 
0.2%
20150724 8
 
0.2%
20091123 7
 
0.2%
20100331 6
 
0.2%
20030116 6
 
0.2%
Other values (2511) 3512
97.4%
2024-04-30T05:03:29.285342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10033
34.6%
2 6540
22.5%
1 4986
17.2%
3 1316
 
4.5%
8 1048
 
3.6%
4 1047
 
3.6%
6 1024
 
3.5%
5 979
 
3.4%
9 929
 
3.2%
7 929
 
3.2%
Other values (2) 199
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28831
99.3%
Dash Punctuation 198
 
0.7%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10033
34.8%
2 6540
22.7%
1 4986
17.3%
3 1316
 
4.6%
8 1048
 
3.6%
4 1047
 
3.6%
6 1024
 
3.6%
5 979
 
3.4%
9 929
 
3.2%
7 929
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29030
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10033
34.6%
2 6540
22.5%
1 4986
17.2%
3 1316
 
4.5%
8 1048
 
3.6%
4 1047
 
3.6%
6 1024
 
3.5%
5 979
 
3.4%
9 929
 
3.2%
7 929
 
3.2%
Other values (2) 199
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29030
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10033
34.6%
2 6540
22.5%
1 4986
17.2%
3 1316
 
4.5%
8 1048
 
3.6%
4 1047
 
3.6%
6 1024
 
3.5%
5 979
 
3.4%
9 929
 
3.2%
7 929
 
3.2%
Other values (2) 199
 
0.7%

휴업시작일자
Date

MISSING 

Distinct136
Distinct (%)88.3%
Missing4986
Missing (%)97.0%
Memory size40.3 KiB
Minimum2001-06-30 00:00:00
Maximum2024-03-14 00:00:00
2024-04-30T05:03:29.408879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:29.531698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct128
Distinct (%)83.1%
Missing4986
Missing (%)97.0%
Memory size40.3 KiB
Minimum2001-11-30 00:00:00
Maximum2025-03-13 00:00:00
2024-04-30T05:03:29.676727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:29.960926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

전화번호
Text

MISSING 

Distinct2294
Distinct (%)66.6%
Missing1693
Missing (%)32.9%
Memory size40.3 KiB
2024-04-30T05:03:30.252666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.6843632
Min length1

Characters and Unicode

Total characters29935
Distinct characters15
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

Unique2008 ?
Unique (%)58.3%

Sample

1st row0222025588
2nd row02 4787328
3rd row02
4th row4845061
5th row02
ValueCountFrequency (%)
02 2015
39.1%
02-000-0000 92
 
1.8%
0000 82
 
1.6%
4079733 27
 
0.5%
1577-0711 23
 
0.4%
00 18
 
0.3%
00000 16
 
0.3%
4112222 13
 
0.3%
1577 10
 
0.2%
0711 10
 
0.2%
Other values (2335) 2853
55.3%
2024-04-30T05:03:30.685429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6751
22.6%
2 5014
16.7%
4 3828
12.8%
1 2364
 
7.9%
3 1798
 
6.0%
1722
 
5.8%
7 1577
 
5.3%
- 1530
 
5.1%
8 1506
 
5.0%
5 1357
 
4.5%
Other values (5) 2488
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26677
89.1%
Space Separator 1722
 
5.8%
Dash Punctuation 1530
 
5.1%
Close Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6751
25.3%
2 5014
18.8%
4 3828
14.3%
1 2364
 
8.9%
3 1798
 
6.7%
7 1577
 
5.9%
8 1506
 
5.6%
5 1357
 
5.1%
6 1255
 
4.7%
9 1227
 
4.6%
Space Separator
ValueCountFrequency (%)
1722
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1530
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29935
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6751
22.6%
2 5014
16.7%
4 3828
12.8%
1 2364
 
7.9%
3 1798
 
6.0%
1722
 
5.8%
7 1577
 
5.3%
- 1530
 
5.1%
8 1506
 
5.0%
5 1357
 
4.5%
Other values (5) 2488
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29935
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6751
22.6%
2 5014
16.7%
4 3828
12.8%
1 2364
 
7.9%
3 1798
 
6.0%
1722
 
5.8%
7 1577
 
5.3%
- 1530
 
5.1%
8 1506
 
5.0%
5 1357
 
4.5%
Other values (5) 2488
 
8.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

소재지우편번호
Text

MISSING 

Distinct219
Distinct (%)13.8%
Missing3550
Missing (%)69.1%
Memory size40.3 KiB
2024-04-30T05:03:30.976619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0490566
Min length6

Characters and Unicode

Total characters9618
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

Unique67 ?
Unique (%)4.2%

Sample

1st row138817
2nd row138837
3rd row138872
4th row138220
5th row138040
ValueCountFrequency (%)
138960 48
 
3.0%
138200 48
 
3.0%
138220 38
 
2.4%
138050 27
 
1.7%
138830 26
 
1.6%
138813 26
 
1.6%
138160 25
 
1.6%
138240 25
 
1.6%
138170 24
 
1.5%
138190 24
 
1.5%
Other values (209) 1279
80.4%
2024-04-30T05:03:31.357580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 2745
28.5%
1 2106
21.9%
3 1852
19.3%
0 769
 
8.0%
2 566
 
5.9%
4 369
 
3.8%
5 293
 
3.0%
6 290
 
3.0%
7 274
 
2.8%
9 264
 
2.7%
Other values (2) 90
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9528
99.1%
Dash Punctuation 78
 
0.8%
Space Separator 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 2745
28.8%
1 2106
22.1%
3 1852
19.4%
0 769
 
8.1%
2 566
 
5.9%
4 369
 
3.9%
5 293
 
3.1%
6 290
 
3.0%
7 274
 
2.9%
9 264
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9618
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 2745
28.5%
1 2106
21.9%
3 1852
19.3%
0 769
 
8.0%
2 566
 
5.9%
4 369
 
3.8%
5 293
 
3.0%
6 290
 
3.0%
7 274
 
2.8%
9 264
 
2.7%
Other values (2) 90
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9618
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 2745
28.5%
1 2106
21.9%
3 1852
19.3%
0 769
 
8.0%
2 566
 
5.9%
4 369
 
3.8%
5 293
 
3.0%
6 290
 
3.0%
7 274
 
2.8%
9 264
 
2.7%
Other values (2) 90
 
0.9%
Distinct4434
Distinct (%)86.4%
Missing7
Missing (%)0.1%
Memory size40.3 KiB
2024-04-30T05:03:31.637352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length26.810053
Min length13

Characters and Unicode

Total characters137616
Distinct characters451
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

Unique3959 ?
Unique (%)77.1%

Sample

1st row서울특별시 송파구 마천동 2번지 2호
2nd row서울특별시 송파구 송파동 183번지 0018호
3rd row서울특별시 송파구 풍납동 126번지 102 호
4th row서울특별시 송파구 풍납동 138번지 9호
5th row서울특별시 송파구 풍납동 222번지 1 호
ValueCountFrequency (%)
서울특별시 5133
 
17.5%
송파구 5133
 
17.5%
1층 972
 
3.3%
684
 
2.3%
가락동 612
 
2.1%
잠실동 515
 
1.8%
문정동 501
 
1.7%
방이동 499
 
1.7%
석촌동 365
 
1.2%
오금동 323
 
1.1%
Other values (2879) 14619
49.8%
2024-04-30T05:03:32.053261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28783
20.9%
1 7053
 
5.1%
5963
 
4.3%
5636
 
4.1%
5442
 
4.0%
5309
 
3.9%
5202
 
3.8%
5166
 
3.8%
5159
 
3.7%
5144
 
3.7%
Other values (441) 58759
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83429
60.6%
Space Separator 28783
 
20.9%
Decimal Number 23867
 
17.3%
Dash Punctuation 436
 
0.3%
Open Punctuation 311
 
0.2%
Close Punctuation 311
 
0.2%
Uppercase Letter 303
 
0.2%
Other Punctuation 147
 
0.1%
Math Symbol 14
 
< 0.1%
Lowercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5963
 
7.1%
5636
 
6.8%
5442
 
6.5%
5309
 
6.4%
5202
 
6.2%
5166
 
6.2%
5159
 
6.2%
5144
 
6.2%
5134
 
6.2%
4781
 
5.7%
Other values (389) 30493
36.5%
Uppercase Letter
ValueCountFrequency (%)
B 100
33.0%
A 41
13.5%
T 26
 
8.6%
F 18
 
5.9%
Y 13
 
4.3%
I 12
 
4.0%
X 12
 
4.0%
L 12
 
4.0%
D 9
 
3.0%
E 9
 
3.0%
Other values (13) 51
16.8%
Decimal Number
ValueCountFrequency (%)
1 7053
29.6%
2 3304
13.8%
0 2272
 
9.5%
3 1910
 
8.0%
4 1781
 
7.5%
6 1627
 
6.8%
5 1612
 
6.8%
8 1504
 
6.3%
7 1480
 
6.2%
9 1324
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
t 3
25.0%
l 2
16.7%
m 1
 
8.3%
r 1
 
8.3%
a 1
 
8.3%
o 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 125
85.0%
. 18
 
12.2%
' 2
 
1.4%
& 1
 
0.7%
? 1
 
0.7%
Letter Number
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
28783
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 436
100.0%
Open Punctuation
ValueCountFrequency (%)
( 311
100.0%
Close Punctuation
ValueCountFrequency (%)
) 311
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83429
60.6%
Common 53869
39.1%
Latin 318
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5963
 
7.1%
5636
 
6.8%
5442
 
6.5%
5309
 
6.4%
5202
 
6.2%
5166
 
6.2%
5159
 
6.2%
5144
 
6.2%
5134
 
6.2%
4781
 
5.7%
Other values (389) 30493
36.5%
Latin
ValueCountFrequency (%)
B 100
31.4%
A 41
12.9%
T 26
 
8.2%
F 18
 
5.7%
Y 13
 
4.1%
I 12
 
3.8%
X 12
 
3.8%
L 12
 
3.8%
D 9
 
2.8%
E 9
 
2.8%
Other values (22) 66
20.8%
Common
ValueCountFrequency (%)
28783
53.4%
1 7053
 
13.1%
2 3304
 
6.1%
0 2272
 
4.2%
3 1910
 
3.5%
4 1781
 
3.3%
6 1627
 
3.0%
5 1612
 
3.0%
8 1504
 
2.8%
7 1480
 
2.7%
Other values (10) 2543
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83429
60.6%
ASCII 54184
39.4%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28783
53.1%
1 7053
 
13.0%
2 3304
 
6.1%
0 2272
 
4.2%
3 1910
 
3.5%
4 1781
 
3.3%
6 1627
 
3.0%
5 1612
 
3.0%
8 1504
 
2.8%
7 1480
 
2.7%
Other values (40) 2858
 
5.3%
Hangul
ValueCountFrequency (%)
5963
 
7.1%
5636
 
6.8%
5442
 
6.5%
5309
 
6.4%
5202
 
6.2%
5166
 
6.2%
5159
 
6.2%
5144
 
6.2%
5134
 
6.2%
4781
 
5.7%
Other values (389) 30493
36.5%
Number Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%

도로명주소
Text

MISSING 

Distinct3722
Distinct (%)79.7%
Missing470
Missing (%)9.1%
Memory size40.3 KiB
2024-04-30T05:03:32.363262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length60
Mean length31.749465
Min length16

Characters and Unicode

Total characters148270
Distinct characters453
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

Unique3069 ?
Unique (%)65.7%

Sample

1st row서울특별시 송파구 성내천로23가길 14-1 (마천동)
2nd row서울특별시 송파구 바람드리4길 18 (풍납동)
3rd row서울특별시 송파구 풍성로25나길 26 (풍납동)
4th row서울특별시 송파구 풍성로 41 (풍납동)
5th row서울특별시 송파구 한가람로14길 26 (풍납동)
ValueCountFrequency (%)
서울특별시 4670
 
16.7%
송파구 4655
 
16.6%
1층 1183
 
4.2%
문정동 455
 
1.6%
가락동 455
 
1.6%
방이동 350
 
1.2%
잠실동 340
 
1.2%
올림픽로 316
 
1.1%
석촌동 292
 
1.0%
송파동 269
 
1.0%
Other values (2892) 15038
53.7%
2024-04-30T05:03:32.786944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23393
 
15.8%
1 7065
 
4.8%
5820
 
3.9%
5745
 
3.9%
5378
 
3.6%
) 4902
 
3.3%
( 4902
 
3.3%
4834
 
3.3%
4711
 
3.2%
4705
 
3.2%
Other values (443) 76815
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87221
58.8%
Space Separator 23393
 
15.8%
Decimal Number 22852
 
15.4%
Close Punctuation 4902
 
3.3%
Open Punctuation 4902
 
3.3%
Other Punctuation 4038
 
2.7%
Dash Punctuation 575
 
0.4%
Uppercase Letter 359
 
0.2%
Math Symbol 14
 
< 0.1%
Lowercase Letter 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5820
 
6.7%
5745
 
6.6%
5378
 
6.2%
4834
 
5.5%
4711
 
5.4%
4705
 
5.4%
4700
 
5.4%
4695
 
5.4%
4673
 
5.4%
4670
 
5.4%
Other values (392) 37290
42.8%
Uppercase Letter
ValueCountFrequency (%)
B 133
37.0%
A 61
17.0%
F 18
 
5.0%
Y 18
 
5.0%
T 15
 
4.2%
C 14
 
3.9%
G 12
 
3.3%
I 12
 
3.3%
E 12
 
3.3%
S 9
 
2.5%
Other values (13) 55
15.3%
Decimal Number
ValueCountFrequency (%)
1 7065
30.9%
2 3217
14.1%
3 2447
 
10.7%
0 2167
 
9.5%
4 2036
 
8.9%
6 1408
 
6.2%
5 1360
 
6.0%
8 1166
 
5.1%
9 1047
 
4.6%
7 939
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
l 2
18.2%
t 2
18.2%
o 1
 
9.1%
a 1
 
9.1%
m 1
 
9.1%
r 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 4029
99.8%
. 6
 
0.1%
' 2
 
< 0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
23393
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4902
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4902
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 575
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87221
58.8%
Common 60676
40.9%
Latin 373
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5820
 
6.7%
5745
 
6.6%
5378
 
6.2%
4834
 
5.5%
4711
 
5.4%
4705
 
5.4%
4700
 
5.4%
4695
 
5.4%
4673
 
5.4%
4670
 
5.4%
Other values (392) 37290
42.8%
Latin
ValueCountFrequency (%)
B 133
35.7%
A 61
16.4%
F 18
 
4.8%
Y 18
 
4.8%
T 15
 
4.0%
C 14
 
3.8%
G 12
 
3.2%
I 12
 
3.2%
E 12
 
3.2%
S 9
 
2.4%
Other values (22) 69
18.5%
Common
ValueCountFrequency (%)
23393
38.6%
1 7065
 
11.6%
) 4902
 
8.1%
( 4902
 
8.1%
, 4029
 
6.6%
2 3217
 
5.3%
3 2447
 
4.0%
0 2167
 
3.6%
4 2036
 
3.4%
6 1408
 
2.3%
Other values (9) 5110
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87221
58.8%
ASCII 61046
41.2%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23393
38.3%
1 7065
 
11.6%
) 4902
 
8.0%
( 4902
 
8.0%
, 4029
 
6.6%
2 3217
 
5.3%
3 2447
 
4.0%
0 2167
 
3.5%
4 2036
 
3.3%
6 1408
 
2.3%
Other values (39) 5480
 
9.0%
Hangul
ValueCountFrequency (%)
5820
 
6.7%
5745
 
6.6%
5378
 
6.2%
4834
 
5.5%
4711
 
5.4%
4705
 
5.4%
4700
 
5.4%
4695
 
5.4%
4673
 
5.4%
4670
 
5.4%
Other values (392) 37290
42.8%
Number Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%

도로명우편번호
Text

MISSING 

Distinct470
Distinct (%)23.6%
Missing3147
Missing (%)61.2%
Memory size40.3 KiB
2024-04-30T05:03:33.084050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4284997
Min length5

Characters and Unicode

Total characters10819
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

Unique133 ?
Unique (%)6.7%

Sample

1st row138817
2nd row05559
3rd row138872
4th row05810
5th row05537
ValueCountFrequency (%)
05855 34
 
1.7%
05510 32
 
1.6%
05699 29
 
1.5%
05836 28
 
1.4%
05838 26
 
1.3%
05854 23
 
1.2%
05698 19
 
1.0%
138960 18
 
0.9%
05849 18
 
0.9%
138844 18
 
0.9%
Other values (460) 1748
87.7%
2024-04-30T05:03:33.494787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 2029
18.8%
5 1904
17.6%
0 1714
15.8%
1 1267
11.7%
3 1212
11.2%
6 692
 
6.4%
7 611
 
5.6%
4 495
 
4.6%
2 444
 
4.1%
9 400
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10768
99.5%
Dash Punctuation 51
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 2029
18.8%
5 1904
17.7%
0 1714
15.9%
1 1267
11.8%
3 1212
11.3%
6 692
 
6.4%
7 611
 
5.7%
4 495
 
4.6%
2 444
 
4.1%
9 400
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10819
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 2029
18.8%
5 1904
17.6%
0 1714
15.8%
1 1267
11.7%
3 1212
11.2%
6 692
 
6.4%
7 611
 
5.6%
4 495
 
4.6%
2 444
 
4.1%
9 400
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10819
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 2029
18.8%
5 1904
17.6%
0 1714
15.8%
1 1267
11.7%
3 1212
11.2%
6 692
 
6.4%
7 611
 
5.6%
4 495
 
4.6%
2 444
 
4.1%
9 400
 
3.7%
Distinct3899
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
2024-04-30T05:03:33.743271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length7.4418288
Min length1

Characters and Unicode

Total characters38251
Distinct characters690
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3239 ?
Unique (%)63.0%

Sample

1st row삼거리미니슈퍼
2nd row럭키슈퍼
3rd row연초
4th row대광
5th row개미수퍼
ValueCountFrequency (%)
gs25 255
 
3.6%
씨유 202
 
2.9%
세븐일레븐 174
 
2.5%
주)코리아세븐 102
 
1.4%
미니스톱 96
 
1.4%
이마트24 84
 
1.2%
지에스25 71
 
1.0%
훼미리마트 66
 
0.9%
cu 34
 
0.5%
지에스(gs)25 31
 
0.4%
Other values (3709) 5926
84.2%
2024-04-30T05:03:34.103511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2006
 
5.2%
1905
 
5.0%
1198
 
3.1%
1106
 
2.9%
758
 
2.0%
2 754
 
2.0%
729
 
1.9%
689
 
1.8%
5 582
 
1.5%
554
 
1.4%
Other values (680) 27970
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32056
83.8%
Space Separator 1905
 
5.0%
Decimal Number 1721
 
4.5%
Uppercase Letter 1360
 
3.6%
Close Punctuation 494
 
1.3%
Open Punctuation 492
 
1.3%
Lowercase Letter 149
 
0.4%
Dash Punctuation 55
 
0.1%
Other Punctuation 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2006
 
6.3%
1198
 
3.7%
1106
 
3.5%
758
 
2.4%
729
 
2.3%
689
 
2.1%
554
 
1.7%
534
 
1.7%
514
 
1.6%
513
 
1.6%
Other values (614) 23455
73.2%
Uppercase Letter
ValueCountFrequency (%)
S 463
34.0%
G 451
33.2%
C 112
 
8.2%
U 86
 
6.3%
L 36
 
2.6%
A 28
 
2.1%
M 26
 
1.9%
B 23
 
1.7%
R 21
 
1.5%
I 18
 
1.3%
Other values (15) 96
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
e 25
16.8%
s 17
11.4%
o 16
10.7%
t 14
9.4%
a 11
 
7.4%
r 11
 
7.4%
l 8
 
5.4%
k 6
 
4.0%
p 6
 
4.0%
f 5
 
3.4%
Other values (9) 30
20.1%
Decimal Number
ValueCountFrequency (%)
2 754
43.8%
5 582
33.8%
4 126
 
7.3%
1 88
 
5.1%
3 52
 
3.0%
9 40
 
2.3%
8 27
 
1.6%
7 20
 
1.2%
6 19
 
1.1%
0 13
 
0.8%
Other Punctuation
ValueCountFrequency (%)
/ 6
31.6%
? 5
26.3%
. 3
15.8%
& 3
15.8%
, 1
 
5.3%
' 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 493
99.8%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 491
99.8%
[ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1905
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32056
83.8%
Common 4686
 
12.3%
Latin 1509
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2006
 
6.3%
1198
 
3.7%
1106
 
3.5%
758
 
2.4%
729
 
2.3%
689
 
2.1%
554
 
1.7%
534
 
1.7%
514
 
1.6%
513
 
1.6%
Other values (614) 23455
73.2%
Latin
ValueCountFrequency (%)
S 463
30.7%
G 451
29.9%
C 112
 
7.4%
U 86
 
5.7%
L 36
 
2.4%
A 28
 
1.9%
M 26
 
1.7%
e 25
 
1.7%
B 23
 
1.5%
R 21
 
1.4%
Other values (34) 238
15.8%
Common
ValueCountFrequency (%)
1905
40.7%
2 754
 
16.1%
5 582
 
12.4%
) 493
 
10.5%
( 491
 
10.5%
4 126
 
2.7%
1 88
 
1.9%
- 55
 
1.2%
3 52
 
1.1%
9 40
 
0.9%
Other values (12) 100
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32055
83.8%
ASCII 6195
 
16.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2006
 
6.3%
1198
 
3.7%
1106
 
3.5%
758
 
2.4%
729
 
2.3%
689
 
2.1%
554
 
1.7%
534
 
1.7%
514
 
1.6%
513
 
1.6%
Other values (613) 23454
73.2%
ASCII
ValueCountFrequency (%)
1905
30.8%
2 754
 
12.2%
5 582
 
9.4%
) 493
 
8.0%
( 491
 
7.9%
S 463
 
7.5%
G 451
 
7.3%
4 126
 
2.0%
C 112
 
1.8%
1 88
 
1.4%
Other values (56) 730
 
11.8%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct3767
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
Minimum2007-07-20 11:34:41
Maximum2024-04-25 16:28:38
2024-04-30T05:03:34.222862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:34.337943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
I
4116 
U
1024 

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 4116
80.1%
U 1024
 
19.9%

Length

2024-04-30T05:03:34.444046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:34.529542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 4116
80.1%
u 1024
 
19.9%
Distinct783
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-30T05:03:34.613646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:34.743819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1877
Distinct (%)38.1%
Missing218
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean210291.89
Minimum206168.6
Maximum213999.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-30T05:03:34.892339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206168.6
5-th percentile207292.17
Q1209223.15
median210347.07
Q3211307.2
95-th percentile213197.14
Maximum213999.96
Range7831.3524
Interquartile range (IQR)2084.0453

Descriptive statistics

Standard deviation1705.9359
Coefficient of variation (CV)0.008112229
Kurtosis-0.49378932
Mean210291.89
Median Absolute Deviation (MAD)1058.598
Skewness-0.074894144
Sum1.0350567 × 109
Variance2910217.4
MonotonicityNot monotonic
2024-04-30T05:03:35.020982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209790.959909032 98
 
1.9%
208589.363343145 53
 
1.0%
210199.45921923 45
 
0.9%
210986.460698452 38
 
0.7%
206383.829438022 29
 
0.6%
209394.231297346 25
 
0.5%
208707.089897534 21
 
0.4%
208233.926974585 21
 
0.4%
209393.076054654 19
 
0.4%
208317.419891103 17
 
0.3%
Other values (1867) 4556
88.6%
(Missing) 218
 
4.2%
ValueCountFrequency (%)
206168.604353473 3
 
0.1%
206333.883560842 1
 
< 0.1%
206345.593755163 1
 
< 0.1%
206383.829438022 29
0.6%
206397.34797252 4
 
0.1%
206425.501600423 3
 
0.1%
206487.800145227 1
 
< 0.1%
206498.438841963 7
 
0.1%
206531.147433206 1
 
< 0.1%
206684.903140953 2
 
< 0.1%
ValueCountFrequency (%)
213999.956783491 3
0.1%
213977.355937651 5
0.1%
213941.187646562 1
 
< 0.1%
213919.422177928 3
0.1%
213894.832323277 5
0.1%
213885.153488894 2
 
< 0.1%
213873.895223193 2
 
< 0.1%
213860.660598816 1
 
< 0.1%
213860.362849957 2
 
< 0.1%
213859.070843691 3
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1874
Distinct (%)38.1%
Missing218
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean444559.01
Minimum440823.23
Maximum448805.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-30T05:03:35.199564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440823.23
5-th percentile442366.03
Q1443650.99
median444532.42
Q3445356.54
95-th percentile447254.93
Maximum448805.06
Range7981.834
Interquartile range (IQR)1705.5564

Descriptive statistics

Standard deviation1340.9641
Coefficient of variation (CV)0.0030163917
Kurtosis0.61453377
Mean444559.01
Median Absolute Deviation (MAD)857.03229
Skewness0.42564815
Sum2.1881195 × 109
Variance1798184.7
MonotonicityNot monotonic
2024-04-30T05:03:35.401470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443481.212174317 98
 
1.9%
445455.90405262 53
 
1.0%
446539.279382444 45
 
0.9%
441725.293491662 38
 
0.7%
446030.128073052 29
 
0.6%
443951.236927017 25
 
0.5%
446299.352775446 21
 
0.4%
445435.257647797 21
 
0.4%
446147.977949052 19
 
0.4%
445894.98085039 17
 
0.3%
Other values (1864) 4556
88.6%
(Missing) 218
 
4.2%
ValueCountFrequency (%)
440823.229256059 1
 
< 0.1%
441093.234429209 1
 
< 0.1%
441112.927797859 1
 
< 0.1%
441412.0 1
 
< 0.1%
441426.0 3
0.1%
441446.0 2
< 0.1%
441498.384130559 1
 
< 0.1%
441548.0 3
0.1%
441586.029967716 3
0.1%
441609.522612664 1
 
< 0.1%
ValueCountFrequency (%)
448805.063230447 1
 
< 0.1%
448601.324644324 8
0.2%
448593.535808124 1
 
< 0.1%
448571.39753402 1
 
< 0.1%
448555.140307009 2
 
< 0.1%
448553.63680263 9
0.2%
448472.581253344 1
 
< 0.1%
448440.895172526 1
 
< 0.1%
448437.083161462 1
 
< 0.1%
448435.537821235 1
 
< 0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct2148
Distinct (%)68.7%
Missing2015
Missing (%)39.2%
Infinite0
Infinite (%)0.0%
Mean20086441
Minimum19731213
Maximum20220307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-30T05:03:35.536996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19731213
5-th percentile19900129
Q120051114
median20100127
Q320141021
95-th percentile20191114
Maximum20220307
Range489094
Interquartile range (IQR)89907

Descriptive statistics

Standard deviation79629.978
Coefficient of variation (CV)0.0039643647
Kurtosis0.95903594
Mean20086441
Median Absolute Deviation (MAD)40986
Skewness-0.99401884
Sum6.2770129 × 1010
Variance6.3409335 × 109
MonotonicityNot monotonic
2024-04-30T05:03:35.657975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100615 20
 
0.4%
19890930 15
 
0.3%
20101121 11
 
0.2%
20060316 11
 
0.2%
20070115 10
 
0.2%
19970708 10
 
0.2%
20071022 8
 
0.2%
19890912 8
 
0.2%
19890929 8
 
0.2%
20060616 8
 
0.2%
Other values (2138) 3016
58.7%
(Missing) 2015
39.2%
ValueCountFrequency (%)
19731213 1
< 0.1%
19790625 1
< 0.1%
19790630 1
< 0.1%
19800701 1
< 0.1%
19810610 1
< 0.1%
19820513 1
< 0.1%
19820517 1
< 0.1%
19821108 1
< 0.1%
19821111 1
< 0.1%
19830517 1
< 0.1%
ValueCountFrequency (%)
20220307 1
< 0.1%
20220302 1
< 0.1%
20220228 1
< 0.1%
20220203 1
< 0.1%
20220118 1
< 0.1%
20220110 1
< 0.1%
20211231 1
< 0.1%
20211229 1
< 0.1%
20211227 1
< 0.1%
20211223 1
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
<NA>
2015 
2009년11월법개정전자료
1434 
제7조의3제2항에따른경우
1238 
제7조의3제3항에따른경우
453 

Length

Max length14
Median length13
Mean length9.7507782
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2015
39.2%
2009년11월법개정전자료 1434
27.9%
제7조의3제2항에따른경우 1238
24.1%
제7조의3제3항에따른경우 453
 
8.8%

Length

2024-04-30T05:03:35.763341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:35.860864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2015
39.2%
2009년11월법개정전자료 1434
27.9%
제7조의3제2항에따른경우 1238
24.1%
제7조의3제3항에따른경우 453
 
8.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
0323000032301980560000020000513<NA>3폐업2폐업처리20140304<NA><NA><NA><NA><NA>138817서울특별시 송파구 마천동 2번지 2호서울특별시 송파구 성내천로23가길 14-1 (마천동)138817삼거리미니슈퍼2014-03-04 16:26:06I2018-08-31 23:59:59.0<NA>212724.748732444492.160486200005132009년11월법개정전자료
13230000119932300000560005719930809201505194취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>0222025588<NA><NA>서울특별시 송파구 송파동 183번지 0018호<NA><NA>럭키슈퍼2015-05-20 17:22:35I2018-08-31 23:59:59.0<NA>210239.271487444243.879187199308092009년11월법개정전자료
23230000197332300780560003019731213<NA>3폐업2폐업처리20100128<NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 126번지 102 호서울특별시 송파구 바람드리4길 18 (풍납동)<NA>연초2010-01-28 17:11:37I2018-08-31 23:59:59.0<NA>210226.868088448278.027849197312132009년11월법개정전자료
33230000197632300780560002619760217<NA>3폐업2폐업처리200502032002060420020703<NA>02 4787328<NA><NA>서울특별시 송파구 풍납동 138번지 9호서울특별시 송파구 풍성로25나길 26 (풍납동)<NA>대광2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>210345.99456448150.947667<NA><NA>
43230000197632300780560002719760329<NA>3폐업2폐업처리20030603<NA><NA><NA>02<NA><NA>서울특별시 송파구 풍납동 222번지 1 호서울특별시 송파구 풍성로 41 (풍납동)<NA>개미수퍼2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>210272.068523448027.475604<NA><NA>
53230000197632300780560002919761203<NA>3폐업2폐업처리20011017<NA><NA><NA>4845061<NA><NA>서울특별시 송파구 풍납동 222번지 4호서울특별시 송파구 한가람로14길 26 (풍납동)<NA>태초식품2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>210216.850821448144.615871<NA><NA>
63230000197932300780560022519790625<NA>3폐업2폐업처리20181001<NA><NA><NA>02<NA><NA>서울특별시 송파구 마천동 118번지 21 호서울특별시 송파구 마천로39길 6-1 (마천동)<NA>삼양슈퍼2018-10-01 17:15:00U2018-10-03 02:36:48.0<NA>212954.845042444009.43497197906252009년11월법개정전자료
73230000197932300780560023719790630202209274취소/말소/만료/정지/중지5지정취소<NA><NA><NA><NA>02<NA><NA>서울특별시 송파구 마천동 130호서울특별시 송파구 거마로22길 20-15 (마천동)<NA>상호 없음2022-09-24 15:15:35U2021-12-08 22:06:00.0<NA>213101.693734443941.398142<NA><NA>
83230000197932300780560024319790630<NA>3폐업2폐업처리20111020<NA><NA><NA>02-406-0242<NA><NA>서울특별시 송파구 마천동 140번지 2 호<NA><NA>시장지물포2011-10-20 10:26:41I2018-08-31 23:59:59.0<NA>213247.196131444020.568495197906302009년11월법개정전자료
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
5130323000020243230291056000092024-03-07<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 25-6서울특별시 송파구 동남로6길 17, 1층 (문정동)05804GS25 문정제일2024-03-07 15:57:20I2023-12-03 00:09:00.0<NA>210994.902057442970.432183<NA><NA>
5131323000020243230291056000102024-03-12<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 송파동 133서울특별시 송파구 백제고분로46길 4, 1층 (송파동)05665GS25 송파중앙점2024-03-12 18:31:08I2023-12-02 23:04:00.0<NA>209817.233834445144.314365<NA><NA>
5132323000020243230291056000112024-03-20<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 17서울특별시 송파구 마천로31길 14, 1층 (마천동)05733GS25 마천빌리지점2024-03-20 15:54:07I2023-12-02 22:02:00.0<NA>212601.045351444396.855247<NA><NA>
5133323000020243230291056000122024-03-25<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 송파동 48-16서울특별시 송파구 오금로 148, 101호 (송파동)05620씨유 송파세현점2024-03-25 15:21:06I2023-12-02 22:07:00.0<NA>209756.217054445369.698486<NA><NA>
5134323000020243230291056000132024-03-28<NA>1영업/정상0정상영업<NA><NA><NA><NA>02-406-7758<NA><NA>서울특별시 송파구 잠실동 1-1 한강공원잠실안내센터서울특별시 송파구 한가람로 65, 한강공원잠실안내센터 (잠실동)05502한강르네상스 잠실 2호점2024-03-28 17:27:37I2023-12-02 21:00:00.0<NA>207280.548176446256.122691<NA><NA>
5135323000020243230291056000142024-03-29<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 52서울특별시 송파구 동남로2길 30 (문정동)05806이마트24 문정마에스트로점2024-03-29 15:05:55I2023-12-02 21:01:00.0<NA>210826.676146442726.275718<NA><NA>
5136323000020243230291056000152024-03-29<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 651 문정역테라타워서울특별시 송파구 송파대로 167, 문정역테라타워 A동 G116-1호 (문정동)05855(주)트리츠2024-04-01 15:38:16I2023-12-04 00:03:00.0<NA><NA><NA><NA><NA>
5137323000020243230291056000162024-04-01<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 삼전동 58-3 대영빌딩서울특별시 송파구 백제고분로28길 18, 대영빌딩 1층 (삼전동)05591씨유 뉴삼전무지개점2024-04-11 15:45:42U2023-12-03 23:03:00.0<NA>208028.06976444370.05874<NA><NA>
5138323000020243230291056000172024-04-24<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 103-15서울특별시 송파구 올림픽로32길 53, 1층 (방이동)05546지에스 더프레시 송파나루역점2024-04-23 16:02:52I2023-12-03 22:05:00.0<NA>209841.106799445595.125935<NA><NA>
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