Overview

Dataset statistics

Number of variables29
Number of observations10000
Missing cells79045
Missing cells (%)27.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 MiB
Average record size in memory251.0 B

Variable types

Categorical9
Numeric5
DateTime8
Text6
Unsupported1

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),자산규모,부채총액,자본금,판매방식명
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-18821/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
자산규모 is highly imbalanced (61.4%)Imbalance
부채총액 is highly imbalanced (61.4%)Imbalance
자본금 is highly imbalanced (61.4%)Imbalance
판매방식명 is highly imbalanced (72.2%)Imbalance
인허가취소일자 has 9999 (> 99.9%) missing valuesMissing
폐업일자 has 7157 (71.6%) missing valuesMissing
휴업시작일자 has 9928 (99.3%) missing valuesMissing
휴업종료일자 has 9928 (99.3%) missing valuesMissing
재개업일자 has 9978 (99.8%) missing valuesMissing
전화번호 has 5961 (59.6%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 9044 (90.4%) missing valuesMissing
지번주소 has 1585 (15.8%) missing valuesMissing
도로명주소 has 1075 (10.8%) missing valuesMissing
도로명우편번호 has 2358 (23.6%) missing valuesMissing
좌표정보(X) has 1016 (10.2%) missing valuesMissing
좌표정보(Y) has 1016 (10.2%) missing valuesMissing
좌표정보(X) is highly skewed (γ1 = 27.07799877)Skewed
좌표정보(Y) is highly skewed (γ1 = -34.98792002)Skewed
관리번호 has unique valuesUnique
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 10:08:34.025499
Analysis finished2024-04-06 10:08:37.668536
Duration3.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3190000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 10000
100.0%

Length

2024-04-06T19:08:37.775105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:37.914287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 10000
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0166789 × 1018
Minimum1.996319 × 1018
Maximum2.024319 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T19:08:38.088658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996319 × 1018
5-th percentile2.005319 × 1018
Q12.012319 × 1018
median2.018319 × 1018
Q32.021319 × 1018
95-th percentile2.023319 × 1018
Maximum2.024319 × 1018
Range2.8000017 × 1016
Interquartile range (IQR)9.0000088 × 1015

Descriptive statistics

Standard deviation6.0266632 × 1015
Coefficient of variation (CV)0.0029884099
Kurtosis-0.55386968
Mean2.0166789 × 1018
Median Absolute Deviation (MAD)4.0000058 × 1015
Skewness-0.75726663
Sum4.4979049 × 1018
Variance3.6320669 × 1031
MonotonicityNot monotonic
2024-04-06T19:08:38.315281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2022319027130200117 1
 
< 0.1%
2020319021630200932 1
 
< 0.1%
2017319015830200160 1
 
< 0.1%
2010319009930200551 1
 
< 0.1%
2021319021630200423 1
 
< 0.1%
2010319009930200442 1
 
< 0.1%
2016319015830200344 1
 
< 0.1%
2010319009930200328 1
 
< 0.1%
2022319027130200326 1
 
< 0.1%
2011319012830200078 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1996319009930200002 1
< 0.1%
1997319009930200004 1
< 0.1%
1998319009930200007 1
< 0.1%
1999319009930200011 1
< 0.1%
1999319009930200012 1
< 0.1%
1999319009930200014 1
< 0.1%
2000319009930200015 1
< 0.1%
2000319009930200016 1
< 0.1%
2000319009930200017 1
< 0.1%
2000319009930200018 1
< 0.1%
ValueCountFrequency (%)
2024319027130200470 1
< 0.1%
2024319027130200469 1
< 0.1%
2024319027130200467 1
< 0.1%
2024319027130200465 1
< 0.1%
2024319027130200463 1
< 0.1%
2024319027130200462 1
< 0.1%
2024319027130200461 1
< 0.1%
2024319027130200459 1
< 0.1%
2024319027130200457 1
< 0.1%
2024319027130200455 1
< 0.1%

인허가일자
Date

Distinct3764
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1996-08-31 00:00:00
Maximum2024-04-04 00:00:00
2024-04-06T19:08:38.886377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:08:39.134297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2023-09-26 00:00:00
Maximum2023-09-26 00:00:00
2024-04-06T19:08:39.312733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:08:39.483223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5822 
3
2290 
4
1275 
5
 
554
2
 
59

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5822
58.2%
3 2290
 
22.9%
4 1275
 
12.8%
5 554
 
5.5%
2 59
 
0.6%

Length

2024-04-06T19:08:39.661246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:39.928508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5822
58.2%
3 2290
 
22.9%
4 1275
 
12.8%
5 554
 
5.5%
2 59
 
0.6%

영업상태명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
5822 
폐업
2290 
취소/말소/만료/정지/중지
1275 
제외/삭제/전출
 
554
휴업
 
59

Length

Max length14
Median length5
Mean length5.609
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5822
58.2%
폐업 2290
 
22.9%
취소/말소/만료/정지/중지 1275
 
12.8%
제외/삭제/전출 554
 
5.5%
휴업 59
 
0.6%

Length

2024-04-06T19:08:40.148780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:40.325273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5822
58.2%
폐업 2290
 
22.9%
취소/말소/만료/정지/중지 1275
 
12.8%
제외/삭제/전출 554
 
5.5%
휴업 59
 
0.6%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4501
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T19:08:40.474086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0698643
Coefficient of variation (CV)0.84480811
Kurtosis0.2321
Mean2.4501
Median Absolute Deviation (MAD)0
Skewness1.2562126
Sum24501
Variance4.2843384
MonotonicityNot monotonic
2024-04-06T19:08:40.739087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 5818
58.2%
3 2290
 
22.9%
7 1267
 
12.7%
5 554
 
5.5%
2 59
 
0.6%
4 8
 
0.1%
6 4
 
< 0.1%
ValueCountFrequency (%)
1 5818
58.2%
2 59
 
0.6%
3 2290
 
22.9%
4 8
 
0.1%
5 554
 
5.5%
6 4
 
< 0.1%
7 1267
 
12.7%
ValueCountFrequency (%)
7 1267
 
12.7%
6 4
 
< 0.1%
5 554
 
5.5%
4 8
 
0.1%
3 2290
 
22.9%
2 59
 
0.6%
1 5818
58.2%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상영업
5818 
폐업처리
2290 
직권말소
1267 
타시군구이관
 
554
휴업처리
 
59
Other values (2)
 
12

Length

Max length6
Median length4
Mean length4.1116
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 5818
58.2%
폐업처리 2290
 
22.9%
직권말소 1267
 
12.7%
타시군구이관 554
 
5.5%
휴업처리 59
 
0.6%
직권취소 8
 
0.1%
타시군구전입 4
 
< 0.1%

Length

2024-04-06T19:08:40.952600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:41.134680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 5818
58.2%
폐업처리 2290
 
22.9%
직권말소 1267
 
12.7%
타시군구이관 554
 
5.5%
휴업처리 59
 
0.6%
직권취소 8
 
0.1%
타시군구전입 4
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1836
Distinct (%)64.6%
Missing7157
Missing (%)71.6%
Memory size156.2 KiB
Minimum2007-06-13 00:00:00
Maximum2024-06-01 00:00:00
2024-04-06T19:08:41.391224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:08:41.718130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct71
Distinct (%)98.6%
Missing9928
Missing (%)99.3%
Memory size156.2 KiB
Minimum2008-01-30 00:00:00
Maximum2024-04-02 00:00:00
2024-04-06T19:08:41.984419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:08:42.230353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct62
Distinct (%)86.1%
Missing9928
Missing (%)99.3%
Memory size156.2 KiB
Minimum2008-08-31 00:00:00
Maximum2099-01-01 00:00:00
2024-04-06T19:08:42.463981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:08:42.649476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Date

MISSING 

Distinct19
Distinct (%)86.4%
Missing9978
Missing (%)99.8%
Memory size156.2 KiB
Minimum2007-08-29 00:00:00
Maximum2024-01-19 00:00:00
2024-04-06T19:08:42.847654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:08:43.078140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

전화번호
Text

MISSING 

Distinct3341
Distinct (%)82.7%
Missing5961
Missing (%)59.6%
Memory size156.2 KiB
2024-04-06T19:08:43.374993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length9.9732607
Min length1

Characters and Unicode

Total characters40282
Distinct characters18
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

Unique3279 ?
Unique (%)81.2%

Sample

1st row02-592-2516
2nd row02-817-7294
3rd row02 599 4482
4th row02-6408-7577
5th row844-0207
ValueCountFrequency (%)
02 1235
 
20.3%
439
 
7.2%
070 57
 
0.9%
815 39
 
0.6%
822 38
 
0.6%
816 38
 
0.6%
812 37
 
0.6%
825 31
 
0.5%
814 30
 
0.5%
826 29
 
0.5%
Other values (3526) 4098
67.5%
2024-04-06T19:08:43.984249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6132
15.2%
2 5692
14.1%
- 4966
12.3%
8 3684
9.1%
2956
7.3%
7 2875
7.1%
5 2743
6.8%
1 2526
6.3%
3 2392
 
5.9%
4 2344
 
5.8%
Other values (8) 3972
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32322
80.2%
Dash Punctuation 4966
 
12.3%
Space Separator 2956
 
7.3%
Other Punctuation 28
 
0.1%
Math Symbol 6
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6132
19.0%
2 5692
17.6%
8 3684
11.4%
7 2875
8.9%
5 2743
8.5%
1 2526
7.8%
3 2392
 
7.4%
4 2344
 
7.3%
6 2184
 
6.8%
9 1750
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 24
85.7%
* 4
 
14.3%
Math Symbol
ValueCountFrequency (%)
~ 5
83.3%
+ 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 4966
100.0%
Space Separator
ValueCountFrequency (%)
2956
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6132
15.2%
2 5692
14.1%
- 4966
12.3%
8 3684
9.1%
2956
7.3%
7 2875
7.1%
5 2743
6.8%
1 2526
6.3%
3 2392
 
5.9%
4 2344
 
5.8%
Other values (8) 3972
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6132
15.2%
2 5692
14.1%
- 4966
12.3%
8 3684
9.1%
2956
7.3%
7 2875
7.1%
5 2743
6.8%
1 2526
6.3%
3 2392
 
5.9%
4 2344
 
5.8%
Other values (8) 3972
9.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)13.4%
Missing9044
Missing (%)90.4%
Infinite0
Infinite (%)0.0%
Mean156405.32
Minimum110170
Maximum442081
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T19:08:44.256404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110170
5-th percentile156010
Q1156030
median156090
Q3156765.25
95-th percentile156848
Maximum442081
Range331911
Interquartile range (IQR)735.25

Descriptive statistics

Standard deviation12900.809
Coefficient of variation (CV)0.082483184
Kurtosis417.68738
Mean156405.32
Median Absolute Deviation (MAD)60
Skewness19.562567
Sum1.4952348 × 108
Variance1.6643086 × 108
MonotonicityNot monotonic
2024-04-06T19:08:44.540235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
156090 176
 
1.8%
156030 123
 
1.2%
156010 69
 
0.7%
156020 60
 
0.6%
156050 47
 
0.5%
156070 34
 
0.3%
156031 26
 
0.3%
156091 25
 
0.2%
156033 23
 
0.2%
156051 14
 
0.1%
Other values (118) 359
 
3.6%
(Missing) 9044
90.4%
ValueCountFrequency (%)
110170 1
< 0.1%
121040 1
< 0.1%
121220 1
< 0.1%
122879 1
< 0.1%
130070 1
< 0.1%
131817 1
< 0.1%
135010 1
< 0.1%
135080 1
< 0.1%
135811 1
< 0.1%
136825 1
< 0.1%
ValueCountFrequency (%)
442081 1
 
< 0.1%
413771 1
 
< 0.1%
156883 2
< 0.1%
156880 1
 
< 0.1%
156879 2
< 0.1%
156878 3
< 0.1%
156875 1
 
< 0.1%
156873 2
< 0.1%
156871 1
 
< 0.1%
156863 1
 
< 0.1%

지번주소
Text

MISSING 

Distinct3084
Distinct (%)36.6%
Missing1585
Missing (%)15.8%
Memory size156.2 KiB
2024-04-06T19:08:44.934790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length45
Mean length26.287938
Min length13

Characters and Unicode

Total characters221213
Distinct characters530
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2333 ?
Unique (%)27.7%

Sample

1st row서울특별시 동작구 사당동 *** 극동아파트
2nd row서울특별시 동작구 상도동 **-**
3rd row서울특별시 동작구 사당동 ****번지 동작삼성래미안아파트
4th row서울특별시 동작구 노량진동 *** 우성아파트
5th row서울특별시 동작구 상도동 **번지 **호 예서빌라 ***호
ValueCountFrequency (%)
서울특별시 8403
18.9%
동작구 8357
18.8%
4941
11.1%
호 3508
7.9%
번지 3440
 
7.7%
사당동 2483
 
5.6%
상도동 2170
 
4.9%
신대방동 1016
 
2.3%
노량진동 834
 
1.9%
대방동 724
 
1.6%
Other values (2052) 8637
19.4%
2024-04-06T19:08:45.625803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 43824
19.8%
37607
17.0%
동 17940
 
8.1%
시 8566
 
3.9%
작 8550
 
3.9%
서 8475
 
3.8%
구 8431
 
3.8%
울 8417
 
3.8%
별 8406
 
3.8%
특 8403
 
3.8%
Other values (520) 62594
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134711
60.9%
Other Punctuation 43914
 
19.9%
Space Separator 37607
 
17.0%
Dash Punctuation 3793
 
1.7%
Decimal Number 510
 
0.2%
Uppercase Letter 363
 
0.2%
Open Punctuation 103
 
< 0.1%
Close Punctuation 103
 
< 0.1%
Lowercase Letter 101
 
< 0.1%
Letter Number 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 17940
 
13.3%
시 8566
 
6.4%
작 8550
 
6.3%
서 8475
 
6.3%
구 8431
 
6.3%
울 8417
 
6.2%
별 8406
 
6.2%
특 8403
 
6.2%
지 3690
 
2.7%
호 3660
 
2.7%
Other values (455) 50173
37.2%
Uppercase Letter
ValueCountFrequency (%)
B 61
16.8%
A 60
16.5%
C 28
 
7.7%
I 27
 
7.4%
S 25
 
6.9%
T 22
 
6.1%
K 21
 
5.8%
H 17
 
4.7%
G 14
 
3.9%
P 14
 
3.9%
Other values (12) 74
20.4%
Lowercase Letter
ValueCountFrequency (%)
e 50
49.5%
l 10
 
9.9%
o 6
 
5.9%
z 6
 
5.9%
i 5
 
5.0%
r 3
 
3.0%
c 3
 
3.0%
w 2
 
2.0%
a 2
 
2.0%
n 2
 
2.0%
Other values (10) 12
 
11.9%
Decimal Number
ValueCountFrequency (%)
1 98
19.2%
3 78
15.3%
2 65
12.7%
4 50
9.8%
5 47
9.2%
0 45
8.8%
6 41
8.0%
9 36
 
7.1%
7 27
 
5.3%
8 23
 
4.5%
Other Punctuation
ValueCountFrequency (%)
* 43824
99.8%
, 62
 
0.1%
? 14
 
< 0.1%
. 8
 
< 0.1%
& 3
 
< 0.1%
/ 3
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅲ 2
 
28.6%
Space Separator
ValueCountFrequency (%)
37607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3793
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134710
60.9%
Common 86031
38.9%
Latin 471
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 17940
 
13.3%
시 8566
 
6.4%
작 8550
 
6.3%
서 8475
 
6.3%
구 8431
 
6.3%
울 8417
 
6.2%
별 8406
 
6.2%
특 8403
 
6.2%
지 3690
 
2.7%
호 3660
 
2.7%
Other values (454) 50172
37.2%
Latin
ValueCountFrequency (%)
B 61
13.0%
A 60
12.7%
e 50
 
10.6%
C 28
 
5.9%
I 27
 
5.7%
S 25
 
5.3%
T 22
 
4.7%
K 21
 
4.5%
H 17
 
3.6%
G 14
 
3.0%
Other values (34) 146
31.0%
Common
ValueCountFrequency (%)
* 43824
50.9%
37607
43.7%
- 3793
 
4.4%
( 103
 
0.1%
) 103
 
0.1%
1 98
 
0.1%
3 78
 
0.1%
2 65
 
0.1%
, 62
 
0.1%
4 50
 
0.1%
Other values (11) 248
 
0.3%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134710
60.9%
ASCII 86495
39.1%
Number Forms 7
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 43824
50.7%
37607
43.5%
- 3793
 
4.4%
( 103
 
0.1%
) 103
 
0.1%
1 98
 
0.1%
3 78
 
0.1%
2 65
 
0.1%
, 62
 
0.1%
B 61
 
0.1%
Other values (53) 701
 
0.8%
Hangul
ValueCountFrequency (%)
동 17940
 
13.3%
시 8566
 
6.4%
작 8550
 
6.3%
서 8475
 
6.3%
구 8431
 
6.3%
울 8417
 
6.2%
별 8406
 
6.2%
특 8403
 
6.2%
지 3690
 
2.7%
호 3660
 
2.7%
Other values (454) 50172
37.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅲ 2
 
28.6%
CJK
ValueCountFrequency (%)
家 1
100.0%

도로명주소
Text

MISSING 

Distinct5120
Distinct (%)57.4%
Missing1075
Missing (%)10.8%
Memory size156.2 KiB
2024-04-06T19:08:46.075165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length51
Mean length36.5107
Min length12

Characters and Unicode

Total characters325858
Distinct characters558
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3882 ?
Unique (%)43.5%

Sample

1st row서울특별시 동작구 동작대로**길 ***, 제***상가동 *층 ***(A-***)호 (사당동, 극동아파트)
2nd row서울특별시 동작구 상도로**길 **-*, *층 (상도동)
3rd row서울특별시 동작구 사당로**바길 *, ***동 ***호 (사당동, 동작삼성래미안아파트)
4th row서울특별시 동작구 만양로*길 **, ***동 ****호 (노량진동, 우성아파트)
5th row서울특별시 동작구 만양로*길 **, ***호 (상도동,예서빌라)
ValueCountFrequency (%)
서울특별시 8919
14.7%
동작구 8879
14.7%
8668
14.3%
호 5408
 
8.9%
사당동 2375
 
3.9%
상도동 2244
 
3.7%
층 2193
 
3.6%
동 1988
 
3.3%
신대방동 986
 
1.6%
노량진동 786
 
1.3%
Other values (2743) 18082
29.9%
2024-04-06T19:08:46.884008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 58329
17.9%
51631
15.8%
동 22278
 
6.8%
, 11513
 
3.5%
작 10056
 
3.1%
서 9222
 
2.8%
시 9123
 
2.8%
) 8989
 
2.8%
( 8989
 
2.8%
구 8932
 
2.7%
Other values (548) 126796
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183022
56.2%
Other Punctuation 69876
 
21.4%
Space Separator 51631
 
15.8%
Close Punctuation 8989
 
2.8%
Open Punctuation 8989
 
2.8%
Dash Punctuation 1702
 
0.5%
Decimal Number 789
 
0.2%
Uppercase Letter 711
 
0.2%
Lowercase Letter 125
 
< 0.1%
Letter Number 12
 
< 0.1%
Other values (2) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22278
 
12.2%
작 10056
 
5.5%
서 9222
 
5.0%
시 9123
 
5.0%
구 8932
 
4.9%
울 8930
 
4.9%
별 8922
 
4.9%
특 8919
 
4.9%
로 8150
 
4.5%
길 6673
 
3.6%
Other values (480) 81817
44.7%
Uppercase Letter
ValueCountFrequency (%)
B 245
34.5%
A 192
27.0%
C 43
 
6.0%
I 27
 
3.8%
T 25
 
3.5%
S 24
 
3.4%
K 23
 
3.2%
D 17
 
2.4%
H 16
 
2.3%
E 13
 
1.8%
Other values (12) 86
 
12.1%
Lowercase Letter
ValueCountFrequency (%)
e 58
46.4%
b 21
 
16.8%
l 7
 
5.6%
z 6
 
4.8%
o 5
 
4.0%
i 4
 
3.2%
a 3
 
2.4%
c 3
 
2.4%
n 3
 
2.4%
s 2
 
1.6%
Other values (10) 13
 
10.4%
Decimal Number
ValueCountFrequency (%)
1 200
25.3%
2 137
17.4%
0 121
15.3%
3 87
11.0%
4 59
 
7.5%
5 47
 
6.0%
9 38
 
4.8%
6 36
 
4.6%
8 34
 
4.3%
7 30
 
3.8%
Other Punctuation
ValueCountFrequency (%)
* 58329
83.5%
, 11513
 
16.5%
? 15
 
< 0.1%
. 9
 
< 0.1%
/ 5
 
< 0.1%
& 4
 
< 0.1%
! 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 10
90.9%
+ 1
 
9.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 10
83.3%
Ⅲ 2
 
16.7%
Space Separator
ValueCountFrequency (%)
51631
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8989
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8989
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1702
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183021
56.2%
Common 141988
43.6%
Latin 848
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22278
 
12.2%
작 10056
 
5.5%
서 9222
 
5.0%
시 9123
 
5.0%
구 8932
 
4.9%
울 8930
 
4.9%
별 8922
 
4.9%
특 8919
 
4.9%
로 8150
 
4.5%
길 6673
 
3.6%
Other values (479) 81816
44.7%
Latin
ValueCountFrequency (%)
B 245
28.9%
A 192
22.6%
e 58
 
6.8%
C 43
 
5.1%
I 27
 
3.2%
T 25
 
2.9%
S 24
 
2.8%
K 23
 
2.7%
b 21
 
2.5%
D 17
 
2.0%
Other values (34) 173
20.4%
Common
ValueCountFrequency (%)
* 58329
41.1%
51631
36.4%
, 11513
 
8.1%
) 8989
 
6.3%
( 8989
 
6.3%
- 1702
 
1.2%
1 200
 
0.1%
2 137
 
0.1%
0 121
 
0.1%
3 87
 
0.1%
Other values (14) 290
 
0.2%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183021
56.2%
ASCII 142824
43.8%
Number Forms 12
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 58329
40.8%
51631
36.2%
, 11513
 
8.1%
) 8989
 
6.3%
( 8989
 
6.3%
- 1702
 
1.2%
B 245
 
0.2%
1 200
 
0.1%
A 192
 
0.1%
2 137
 
0.1%
Other values (56) 897
 
0.6%
Hangul
ValueCountFrequency (%)
동 22278
 
12.2%
작 10056
 
5.5%
서 9222
 
5.0%
시 9123
 
5.0%
구 8932
 
4.9%
울 8930
 
4.9%
별 8922
 
4.9%
특 8919
 
4.9%
로 8150
 
4.5%
길 6673
 
3.6%
Other values (479) 81816
44.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 10
83.3%
Ⅲ 2
 
16.7%
CJK
ValueCountFrequency (%)
家 1
100.0%

도로명우편번호
Text

MISSING 

Distinct329
Distinct (%)4.3%
Missing2358
Missing (%)23.6%
Memory size156.2 KiB
2024-04-06T19:08:47.476799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1495682
Min length5

Characters and Unicode

Total characters39353
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

Unique39 ?
Unique (%)0.5%

Sample

1st row06990
2nd row06921
3rd row07002
4th row06917
5th row06988
ValueCountFrequency (%)
06990 143
 
1.9%
07040 124
 
1.6%
06954 100
 
1.3%
07071 99
 
1.3%
07025 86
 
1.1%
07015 85
 
1.1%
06900 85
 
1.1%
07013 82
 
1.1%
07030 75
 
1.0%
07055 73
 
1.0%
Other values (319) 6690
87.5%
2024-04-06T19:08:48.364218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12155
30.9%
6 5648
14.4%
7 4809
 
12.2%
9 4480
 
11.4%
1 3039
 
7.7%
5 2764
 
7.0%
3 1656
 
4.2%
2 1614
 
4.1%
8 1609
 
4.1%
4 1563
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39337
> 99.9%
Dash Punctuation 16
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12155
30.9%
6 5648
14.4%
7 4809
 
12.2%
9 4480
 
11.4%
1 3039
 
7.7%
5 2764
 
7.0%
3 1656
 
4.2%
2 1614
 
4.1%
8 1609
 
4.1%
4 1563
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39353
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12155
30.9%
6 5648
14.4%
7 4809
 
12.2%
9 4480
 
11.4%
1 3039
 
7.7%
5 2764
 
7.0%
3 1656
 
4.2%
2 1614
 
4.1%
8 1609
 
4.1%
4 1563
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39353
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12155
30.9%
6 5648
14.4%
7 4809
 
12.2%
9 4480
 
11.4%
1 3039
 
7.7%
5 2764
 
7.0%
3 1656
 
4.2%
2 1614
 
4.1%
8 1609
 
4.1%
4 1563
 
4.0%

사업장명
Text

Distinct9799
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T19:08:49.013526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length6.8458
Min length1

Characters and Unicode

Total characters68458
Distinct characters1125
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9614 ?
Unique (%)96.1%

Sample

1st row청민
2nd row퍼스트디자인
3rd row브라더루이
4th row유니온 개러지
5th row아카펠라
ValueCountFrequency (%)
주식회사 451
 
3.6%
주 51
 
0.4%
company 32
 
0.3%
더 25
 
0.2%
korea 23
 
0.2%
컴퍼니 21
 
0.2%
스튜디오 19
 
0.2%
co 17
 
0.1%
17
 
0.1%
global 13
 
0.1%
Other values (10982) 11891
94.7%
2024-04-06T19:08:50.056391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2562
 
3.7%
이 2339
 
3.4%
스 1977
 
2.9%
) 1954
 
2.9%
( 1954
 
2.9%
리 1191
 
1.7%
주 1095
 
1.6%
e 890
 
1.3%
사 827
 
1.2%
o 797
 
1.2%
Other values (1115) 52872
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47394
69.2%
Lowercase Letter 7890
 
11.5%
Uppercase Letter 5771
 
8.4%
Space Separator 2562
 
3.7%
Close Punctuation 1954
 
2.9%
Open Punctuation 1954
 
2.9%
Decimal Number 505
 
0.7%
Other Punctuation 342
 
0.5%
Dash Punctuation 62
 
0.1%
Connector Punctuation 15
 
< 0.1%
Other values (4) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2339
 
4.9%
스 1977
 
4.2%
리 1191
 
2.5%
주 1095
 
2.3%
사 827
 
1.7%
아 794
 
1.7%
트 692
 
1.5%
에 668
 
1.4%
니 635
 
1.3%
라 595
 
1.3%
Other values (1033) 36581
77.2%
Lowercase Letter
ValueCountFrequency (%)
e 890
11.3%
o 797
 
10.1%
a 693
 
8.8%
n 575
 
7.3%
i 564
 
7.1%
r 511
 
6.5%
t 486
 
6.2%
l 458
 
5.8%
s 404
 
5.1%
u 310
 
3.9%
Other values (16) 2202
27.9%
Uppercase Letter
ValueCountFrequency (%)
A 472
 
8.2%
O 450
 
7.8%
E 407
 
7.1%
S 383
 
6.6%
N 368
 
6.4%
T 338
 
5.9%
L 333
 
5.8%
I 293
 
5.1%
C 279
 
4.8%
M 264
 
4.6%
Other values (16) 2184
37.8%
Other Punctuation
ValueCountFrequency (%)
. 162
47.4%
& 96
28.1%
, 39
 
11.4%
' 18
 
5.3%
? 7
 
2.0%
# 5
 
1.5%
: 5
 
1.5%
/ 5
 
1.5%
! 3
 
0.9%
; 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 90
17.8%
1 87
17.2%
0 60
11.9%
4 58
11.5%
3 55
10.9%
9 44
8.7%
5 37
7.3%
7 27
 
5.3%
8 24
 
4.8%
6 23
 
4.6%
Space Separator
ValueCountFrequency (%)
2562
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1954
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1954
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47381
69.2%
Latin 13662
 
20.0%
Common 7398
 
10.8%
Han 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2339
 
4.9%
스 1977
 
4.2%
리 1191
 
2.5%
주 1095
 
2.3%
사 827
 
1.7%
아 794
 
1.7%
트 692
 
1.5%
에 668
 
1.4%
니 635
 
1.3%
라 595
 
1.3%
Other values (1017) 36568
77.2%
Latin
ValueCountFrequency (%)
e 890
 
6.5%
o 797
 
5.8%
a 693
 
5.1%
n 575
 
4.2%
i 564
 
4.1%
r 511
 
3.7%
t 486
 
3.6%
A 472
 
3.5%
l 458
 
3.4%
O 450
 
3.3%
Other values (43) 7766
56.8%
Common
ValueCountFrequency (%)
2562
34.6%
) 1954
26.4%
( 1954
26.4%
. 162
 
2.2%
& 96
 
1.3%
2 90
 
1.2%
1 87
 
1.2%
- 62
 
0.8%
0 60
 
0.8%
4 58
 
0.8%
Other values (18) 313
 
4.2%
Han
ValueCountFrequency (%)
木 1
 
5.9%
味 1
 
5.9%
佳 1
 
5.9%
子 1
 
5.9%
峰 1
 
5.9%
愛 1
 
5.9%
來 1
 
5.9%
怡 1
 
5.9%
可 1
 
5.9%
觀 1
 
5.9%
Other values (7) 7
41.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47377
69.2%
ASCII 21058
30.8%
CJK 17
 
< 0.1%
None 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2562
 
12.2%
) 1954
 
9.3%
( 1954
 
9.3%
e 890
 
4.2%
o 797
 
3.8%
a 693
 
3.3%
n 575
 
2.7%
i 564
 
2.7%
r 511
 
2.4%
t 486
 
2.3%
Other values (69) 10072
47.8%
Hangul
ValueCountFrequency (%)
이 2339
 
4.9%
스 1977
 
4.2%
리 1191
 
2.5%
주 1095
 
2.3%
사 827
 
1.7%
아 794
 
1.7%
트 692
 
1.5%
에 668
 
1.4%
니 635
 
1.3%
라 595
 
1.3%
Other values (1016) 36564
77.2%
None
ValueCountFrequency (%)
㈜ 4
80.0%
？ 1
 
20.0%
CJK
ValueCountFrequency (%)
木 1
 
5.9%
味 1
 
5.9%
佳 1
 
5.9%
子 1
 
5.9%
峰 1
 
5.9%
愛 1
 
5.9%
來 1
 
5.9%
怡 1
 
5.9%
可 1
 
5.9%
觀 1
 
5.9%
Other values (7) 7
41.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

Distinct9697
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2007-07-18 18:22:36
Maximum2024-04-04 17:23:27
2024-04-06T19:08:50.798382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:08:51.048112image/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 size156.2 KiB
I
8052 
U
1948 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8052
80.5%
U 1948
 
19.5%

Length

2024-04-06T19:08:51.423189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:51.673906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8052
80.5%
u 1948
 
19.5%

데이터갱신일자
Date

Distinct1516
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T19:08:51.927291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:08:52.195312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Text

Distinct515
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T19:08:52.707239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length84
Mean length9.2037
Min length1

Characters and Unicode

Total characters92037
Distinct characters51
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)3.2%

Sample

1st row종합몰
2nd row종합몰
3rd row종합몰
4th row의류/패션/잡화/뷰티
5th row기타
ValueCountFrequency (%)
의류/패션/잡화/뷰티 3663
25.7%
종합몰 3208
22.5%
기타 1914
13.4%
건강/식품 1102
 
7.7%
교육/도서/완구/오락 984
 
6.9%
749
 
5.3%
컴퓨터/사무용품 663
 
4.7%
가구/수납용품 618
 
4.3%
가전 508
 
3.6%
레져/여행/공연 356
 
2.5%
Other values (3) 475
 
3.3%
2024-04-06T19:08:53.263093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 17403
18.9%
4240
 
4.6%
의 3663
 
4.0%
화 3663
 
4.0%
티 3663
 
4.0%
뷰 3663
 
4.0%
류 3663
 
4.0%
잡 3663
 
4.0%
션 3663
 
4.0%
패 3663
 
4.0%
Other values (41) 41090
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69645
75.7%
Other Punctuation 17403
 
18.9%
Space Separator 4240
 
4.6%
Dash Punctuation 749
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3663
 
5.3%
화 3663
 
5.3%
티 3663
 
5.3%
뷰 3663
 
5.3%
류 3663
 
5.3%
잡 3663
 
5.3%
션 3663
 
5.3%
패 3663
 
5.3%
종 3208
 
4.6%
합 3208
 
4.6%
Other values (38) 33925
48.7%
Other Punctuation
ValueCountFrequency (%)
/ 17403
100.0%
Space Separator
ValueCountFrequency (%)
4240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 749
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69645
75.7%
Common 22392
 
24.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3663
 
5.3%
화 3663
 
5.3%
티 3663
 
5.3%
뷰 3663
 
5.3%
류 3663
 
5.3%
잡 3663
 
5.3%
션 3663
 
5.3%
패 3663
 
5.3%
종 3208
 
4.6%
합 3208
 
4.6%
Other values (38) 33925
48.7%
Common
ValueCountFrequency (%)
/ 17403
77.7%
4240
 
18.9%
- 749
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69645
75.7%
ASCII 22392
 
24.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 17403
77.7%
4240
 
18.9%
- 749
 
3.3%
Hangul
ValueCountFrequency (%)
의 3663
 
5.3%
화 3663
 
5.3%
티 3663
 
5.3%
뷰 3663
 
5.3%
류 3663
 
5.3%
잡 3663
 
5.3%
션 3663
 
5.3%
패 3663
 
5.3%
종 3208
 
4.6%
합 3208
 
4.6%
Other values (38) 33925
48.7%

좌표정보(X)
Real number (ℝ)

MISSING  SKEWED 

Distinct4865
Distinct (%)54.2%
Missing1016
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean195509.88
Minimum179377.06
Maximum355051.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T19:08:53.501964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179377.06
5-th percentile192170.16
Q1194032.19
median195369.02
Q3197289.51
95-th percentile198175.83
Maximum355051.98
Range175674.92
Interquartile range (IQR)3257.316

Descriptive statistics

Standard deviation2561.1212
Coefficient of variation (CV)0.013099702
Kurtosis1677.1271
Mean195509.88
Median Absolute Deviation (MAD)1621.0595
Skewness27.077999
Sum1.7564608 × 109
Variance6559341.7
MonotonicityNot monotonic
2024-04-06T19:08:53.748858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197802.054854046 153
 
1.5%
191691.678396263 91
 
0.9%
195078.236176484 83
 
0.8%
197802.436613024 74
 
0.7%
193300.832515956 69
 
0.7%
197545.985381694 60
 
0.6%
195927.468714435 54
 
0.5%
193273.484014052 51
 
0.5%
194219.201792642 46
 
0.5%
192113.200600983 46
 
0.5%
Other values (4855) 8257
82.6%
(Missing) 1016
 
10.2%
ValueCountFrequency (%)
179377.05694409 1
 
< 0.1%
184252.280186917 1
 
< 0.1%
190626.074677626 1
 
< 0.1%
190896.375120975 2
 
< 0.1%
191481.81674639 5
 
0.1%
191484.231170935 5
 
0.1%
191519.647729474 1
 
< 0.1%
191548.535775618 18
0.2%
191555.354381759 5
 
0.1%
191585.298671366 1
 
< 0.1%
ValueCountFrequency (%)
355051.976290229 1
< 0.1%
221678.427994137 1
< 0.1%
210969.58 1
< 0.1%
210535.089616 1
< 0.1%
210440.282511104 1
< 0.1%
209409.160207927 1
< 0.1%
208043.235839857 1
< 0.1%
206244.551036173 1
< 0.1%
205747.212430477 1
< 0.1%
204504.360083785 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct4861
Distinct (%)54.1%
Missing1016
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean443813.82
Minimum310805.53
Maximum472652.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T19:08:53.996356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum310805.53
5-th percentile441893.85
Q1442935.03
median443888.66
Q3444729.56
95-th percentile445574.1
Maximum472652.65
Range161847.12
Interquartile range (IQR)1794.5266

Descriptive statistics

Standard deviation2028.2854
Coefficient of variation (CV)0.0045701266
Kurtosis2198.5175
Mean443813.82
Median Absolute Deviation (MAD)890.5407
Skewness-34.98792
Sum3.9872234 × 109
Variance4113941.5
MonotonicityNot monotonic
2024-04-06T19:08:54.254427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443049.47147487 153
 
1.5%
442818.113681285 91
 
0.9%
445024.485155695 83
 
0.8%
443049.214038897 74
 
0.7%
443302.417672701 69
 
0.7%
442685.886949892 65
 
0.7%
444128.008419569 54
 
0.5%
445011.250115029 51
 
0.5%
444880.903466886 46
 
0.5%
443344.373525343 46
 
0.5%
Other values (4851) 8252
82.5%
(Missing) 1016
 
10.2%
ValueCountFrequency (%)
310805.528772631 1
< 0.1%
377190.565545404 1
< 0.1%
418242.337011693 1
< 0.1%
426451.358939753 1
< 0.1%
434559.26 1
< 0.1%
441527.120123098 2
< 0.1%
441541.554552654 2
< 0.1%
441543.537610587 2
< 0.1%
441553.731052152 1
< 0.1%
441559.456666666 1
< 0.1%
ValueCountFrequency (%)
472652.652551911 1
< 0.1%
469740.162679381 1
< 0.1%
456556.607647966 1
< 0.1%
455254.505717795 1
< 0.1%
454622.457968864 1
< 0.1%
454489.358627945 1
< 0.1%
453042.885301507 1
< 0.1%
452996.261730184 1
< 0.1%
452354.914065855 1
< 0.1%
452302.70200551 1
< 0.1%

자산규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9244 
0
 
756

Length

Max length4
Median length4
Mean length3.7732
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9244
92.4%
0 756
 
7.6%

Length

2024-04-06T19:08:54.618190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:54.783036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9244
92.4%
0 756
 
7.6%

부채총액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9244 
0
 
756

Length

Max length4
Median length4
Mean length3.7732
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9244
92.4%
0 756
 
7.6%

Length

2024-04-06T19:08:54.987009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:55.237941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9244
92.4%
0 756
 
7.6%

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9244 
0
 
756

Length

Max length4
Median length4
Mean length3.7732
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9244
92.4%
0 756
 
7.6%

Length

2024-04-06T19:08:55.455300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:55.671547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9244
92.4%
0 756
 
7.6%

판매방식명
Categorical

IMBALANCE 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷
5052 
<NA>
4627 
인터넷, 기타
 
108
기타
 
60
TV홈쇼핑, 인터넷
 
30
Other values (19)
 
123

Length

Max length26
Median length3
Mean length3.6496
Min length2

Unique

Unique7 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷 5052
50.5%
<NA> 4627
46.3%
인터넷, 기타 108
 
1.1%
기타 60
 
0.6%
TV홈쇼핑, 인터넷 30
 
0.3%
TV홈쇼핑 23
 
0.2%
인터넷, 카다로그 23
 
0.2%
TV홈쇼핑, 인터넷, 카다로그, 신문잡지, 기타 21
 
0.2%
TV홈쇼핑, 인터넷, 카다로그, 신문잡지 7
 
0.1%
인터넷, 카다로그, 기타 7
 
0.1%
Other values (14) 42
 
0.4%

Length

2024-04-06T19:08:55.866780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 5280
51.0%
na 4627
44.7%
기타 213
 
2.1%
tv홈쇼핑 96
 
0.9%
카다로그 83
 
0.8%
신문잡지 52
 
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
14835319000020223190271302001172022-10-14<NA>3폐업3폐업처리2023-12-13<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 *** 극동아파트서울특별시 동작구 동작대로**길 ***, 제***상가동 *층 ***(A-***)호 (사당동, 극동아파트)06990청민2023-12-13 13:19:44U2022-11-01 23:05:00.0종합몰197802.436613443049.214039<NA><NA><NA><NA>
126773190000202131902163020116320210722<NA>3폐업3폐업처리20220113<NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 **-**서울특별시 동작구 상도로**길 **-*, *층 (상도동)06921퍼스트디자인2022-01-14 15:18:30U2022-01-16 02:40:00.0종합몰195167.607031444939.178000인터넷
87993190000201931901923020014320190208<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-592-2516<NA><NA>서울특별시 동작구 사당동 ****번지 동작삼성래미안아파트서울특별시 동작구 사당로**바길 *, ***동 ***호 (사당동, 동작삼성래미안아파트)07002브라더루이2019-02-11 11:01:22I2019-02-13 02:21:19.0종합몰197317.188277442998.117057<NA><NA><NA>인터넷
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