Overview

Dataset statistics

Number of variables33
Number of observations1319
Missing cells12868
Missing cells (%)29.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory358.2 KiB
Average record size in memory278.1 B

Variable types

Numeric8
Categorical8
DateTime7
Text6
Unsupported4

Dataset

Description2023-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123127

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 is highly imbalanced (90.7%)Imbalance
폐업일자 has 275 (20.8%) missing valuesMissing
휴업시작일자 has 1302 (98.7%) missing valuesMissing
휴업종료일자 has 1302 (98.7%) missing valuesMissing
재개업일자 has 1315 (99.7%) missing valuesMissing
소재지전화 has 203 (15.4%) missing valuesMissing
소재지면적 has 1319 (100.0%) missing valuesMissing
소재지우편번호 has 497 (37.7%) missing valuesMissing
소재지전체주소 has 229 (17.4%) missing valuesMissing
도로명전체주소 has 67 (5.1%) missing valuesMissing
도로명우편번호 has 642 (48.7%) missing valuesMissing
업태구분명 has 1319 (100.0%) missing valuesMissing
좌표정보(x) has 60 (4.5%) missing valuesMissing
좌표정보(y) has 60 (4.5%) missing valuesMissing
자산규모 has 545 (41.3%) missing valuesMissing
부채총액 has 548 (41.5%) missing valuesMissing
자본금 has 547 (41.5%) missing valuesMissing
판매방식명 has 1319 (100.0%) missing valuesMissing
Unnamed: 32 has 1319 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 27.59124658)Skewed
부채총액 is highly skewed (γ1 = 27.5591066)Skewed
자본금 is highly skewed (γ1 = 26.97218459)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
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
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 117 (8.9%) zerosZeros
부채총액 has 465 (35.3%) zerosZeros
자본금 has 76 (5.8%) zerosZeros

Reproduction

Analysis started2024-04-17 06:05:40.952099
Analysis finished2024-04-17 06:05:41.789644
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1319
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean660
Minimum1
Maximum1319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:41.849938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile66.9
Q1330.5
median660
Q3989.5
95-th percentile1253.1
Maximum1319
Range1318
Interquartile range (IQR)659

Descriptive statistics

Standard deviation380.90681
Coefficient of variation (CV)0.57713153
Kurtosis-1.2
Mean660
Median Absolute Deviation (MAD)330
Skewness0
Sum870540
Variance145090
MonotonicityStrictly increasing
2024-04-17T15:05:41.976037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
887 1
 
0.1%
885 1
 
0.1%
884 1
 
0.1%
883 1
 
0.1%
882 1
 
0.1%
881 1
 
0.1%
880 1
 
0.1%
879 1
 
0.1%
878 1
 
0.1%
Other values (1309) 1309
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1319 1
0.1%
1318 1
0.1%
1317 1
0.1%
1316 1
0.1%
1315 1
0.1%
1314 1
0.1%
1313 1
0.1%
1312 1
0.1%
1311 1
0.1%
1310 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
전화권유판매업
1319 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전화권유판매업 1319
100.0%

Length

2024-04-17T15:05:42.093141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:42.179874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 1319
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
08_26_03_P
1319 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_03_P
2nd row08_26_03_P
3rd row08_26_03_P
4th row08_26_03_P
5th row08_26_03_P

Common Values

ValueCountFrequency (%)
08_26_03_P 1319
100.0%

Length

2024-04-17T15:05:42.264236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:42.349005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 1319
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322782.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:42.421577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13290000
median3310000
Q33370000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation39314.001
Coefficient of variation (CV)0.011831651
Kurtosis-1.2076226
Mean3322782.4
Median Absolute Deviation (MAD)20000
Skewness0.2703761
Sum4.38275 × 109
Variance1.5455907 × 109
MonotonicityIncreasing
2024-04-17T15:05:42.518139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 376
28.5%
3370000 200
15.2%
3330000 121
 
9.2%
3300000 115
 
8.7%
3350000 92
 
7.0%
3270000 87
 
6.6%
3380000 73
 
5.5%
3310000 48
 
3.6%
3390000 47
 
3.6%
3320000 42
 
3.2%
Other values (6) 118
 
8.9%
ValueCountFrequency (%)
3250000 26
 
2.0%
3260000 9
 
0.7%
3270000 87
 
6.6%
3280000 8
 
0.6%
3290000 376
28.5%
3300000 115
 
8.7%
3310000 48
 
3.6%
3320000 42
 
3.2%
3330000 121
 
9.2%
3340000 38
 
2.9%
ValueCountFrequency (%)
3400000 22
 
1.7%
3390000 47
 
3.6%
3380000 73
 
5.5%
3370000 200
15.2%
3360000 15
 
1.1%
3350000 92
7.0%
3340000 38
 
2.9%
3330000 121
9.2%
3320000 42
 
3.2%
3310000 48
 
3.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1319
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0122648 × 1018
Minimum2.002329 × 1018
Maximum2.023339 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:42.631072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002329 × 1018
5-th percentile2.0063288 × 1018
Q12.00833 × 1018
median2.011331 × 1018
Q32.0153355 × 1018
95-th percentile2.021333 × 1018
Maximum2.023339 × 1018
Range2.1010002 × 1016
Interquartile range (IQR)7.0055054 × 1015

Descriptive statistics

Standard deviation4.6986369 × 1015
Coefficient of variation (CV)0.0023349993
Kurtosis-0.66713632
Mean2.0122648 × 1018
Median Absolute Deviation (MAD)3.0040005 × 1015
Skewness0.5247093
Sum-2.1538602 × 1018
Variance2.2077189 × 1031
MonotonicityNot monotonic
2024-04-17T15:05:42.749187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008324200001 1
 
0.1%
2012335008524200003 1
 
0.1%
2015335010024200001 1
 
0.1%
2012335008524200008 1
 
0.1%
2016335010024200004 1
 
0.1%
2022335013524200004 1
 
0.1%
2021335011224200005 1
 
0.1%
2022335013524200005 1
 
0.1%
2022335013524200006 1
 
0.1%
2021335013524200002 1
 
0.1%
Other values (1309) 1309
99.2%
ValueCountFrequency (%)
2002329008524200001 1
0.1%
2002329008524200006 1
0.1%
2002333008224200001 1
0.1%
2003329008524200011 1
0.1%
2003333008224200001 1
0.1%
2004325005924200015 1
0.1%
2004325005924200016 1
0.1%
2004329008524200005 1
0.1%
2004329008524200007 1
0.1%
2004329008524200008 1
0.1%
ValueCountFrequency (%)
2023339010924200001 1
0.1%
2023336014524200001 1
0.1%
2023334014524200001 1
0.1%
2022340010924200001 1
0.1%
2022339010924200001 1
0.1%
2022337010624200002 1
0.1%
2022337010624200001 1
0.1%
2022336014524200001 1
0.1%
2022335013524200006 1
0.1%
2022335013524200005 1
0.1%

인허가일자
Date

Distinct1043
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
Minimum2002-08-20 00:00:00
Maximum2023-01-18 00:00:00
2024-04-17T15:05:42.873698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:05:42.992295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct26
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
<NA>
1263 
2010-05-14
 
8
2010-12-31
 
6
2007-12-18
 
4
2008-12-26
 
4
Other values (21)
 
34

Length

Max length10
Median length4
Mean length4.2547384
Min length4

Unique

Unique12 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1263
95.8%
2010-05-14 8
 
0.6%
2010-12-31 6
 
0.5%
2007-12-18 4
 
0.3%
2008-12-26 4
 
0.3%
2008-09-08 3
 
0.2%
2009-08-05 3
 
0.2%
2007-12-26 3
 
0.2%
2010-04-22 3
 
0.2%
2009-11-12 2
 
0.2%
Other values (16) 20
 
1.5%

Length

2024-04-17T15:05:43.104812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1263
95.8%
2010-05-14 8
 
0.6%
2010-12-31 6
 
0.5%
2007-12-18 4
 
0.3%
2008-12-26 4
 
0.3%
2008-09-08 3
 
0.2%
2009-08-05 3
 
0.2%
2007-12-26 3
 
0.2%
2010-04-22 3
 
0.2%
2008-09-17 2
 
0.2%
Other values (16) 20
 
1.5%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
3
645 
4
455 
1
206 
2
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 645
48.9%
4 455
34.5%
1 206
 
15.6%
2 13
 
1.0%

Length

2024-04-17T15:05:43.198196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:43.280154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 645
48.9%
4 455
34.5%
1 206
 
15.6%
2 13
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
폐업
645 
취소/말소/만료/정지/중지
455 
영업/정상
206 
휴업
 
13

Length

Max length14
Median length5
Mean length6.6080364
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 645
48.9%
취소/말소/만료/정지/중지 455
34.5%
영업/정상 206
 
15.6%
휴업 13
 
1.0%

Length

2024-04-17T15:05:43.389197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:43.481240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 645
48.9%
취소/말소/만료/정지/중지 455
34.5%
영업/정상 206
 
15.6%
휴업 13
 
1.0%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
3
645 
7
396 
1
206 
4
 
59
2
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 645
48.9%
7 396
30.0%
1 206
 
15.6%
4 59
 
4.5%
2 13
 
1.0%

Length

2024-04-17T15:05:43.569594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:43.649940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 645
48.9%
7 396
30.0%
1 206
 
15.6%
4 59
 
4.5%
2 13
 
1.0%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
폐업처리
645 
직권말소
396 
정상영업
206 
직권취소
 
59
휴업처리
 
13

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 645
48.9%
직권말소 396
30.0%
정상영업 206
 
15.6%
직권취소 59
 
4.5%
휴업처리 13
 
1.0%

Length

2024-04-17T15:05:43.739232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:43.818907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 645
48.9%
직권말소 396
30.0%
정상영업 206
 
15.6%
직권취소 59
 
4.5%
휴업처리 13
 
1.0%

폐업일자
Date

MISSING 

Distinct650
Distinct (%)62.3%
Missing275
Missing (%)20.8%
Memory size10.4 KiB
Minimum2007-06-04 00:00:00
Maximum2023-01-10 00:00:00
2024-04-17T15:05:43.918630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:05:44.023467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct17
Distinct (%)100.0%
Missing1302
Missing (%)98.7%
Memory size10.4 KiB
Minimum2009-02-26 00:00:00
Maximum2022-02-22 00:00:00
2024-04-17T15:05:44.113926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:05:44.200427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

휴업종료일자
Date

MISSING 

Distinct16
Distinct (%)94.1%
Missing1302
Missing (%)98.7%
Memory size10.4 KiB
Minimum2009-06-30 00:00:00
Maximum2024-12-31 00:00:00
2024-04-17T15:05:44.280324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:05:44.363950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

재개업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing1315
Missing (%)99.7%
Memory size10.4 KiB
Minimum2006-01-26 00:00:00
Maximum2020-03-12 00:00:00
2024-04-17T15:05:44.460812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:05:44.539797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

소재지전화
Text

MISSING 

Distinct1041
Distinct (%)93.3%
Missing203
Missing (%)15.4%
Memory size10.4 KiB
2024-04-17T15:05:44.730662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.918459
Min length7

Characters and Unicode

Total characters12185
Distinct characters16
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

Unique974 ?
Unique (%)87.3%

Sample

1st row051-466-0046
2nd row051 710 0088
3rd row051 465 2480
4th row051-463-3556
5th row051 441 2905
ValueCountFrequency (%)
051 97
 
7.4%
711 6
 
0.5%
853 5
 
0.4%
051-747-5044 4
 
0.3%
517 4
 
0.3%
868 4
 
0.3%
851 4
 
0.3%
861 4
 
0.3%
906 4
 
0.3%
465 4
 
0.3%
Other values (1085) 1175
89.6%
2024-04-17T15:05:45.269272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2197
18.0%
1 1629
13.4%
- 1619
13.3%
5 1538
12.6%
8 865
 
7.1%
7 833
 
6.8%
6 794
 
6.5%
9 651
 
5.3%
3 639
 
5.2%
4 628
 
5.2%
Other values (6) 792
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10353
85.0%
Dash Punctuation 1619
 
13.3%
Space Separator 195
 
1.6%
Close Punctuation 12
 
0.1%
Math Symbol 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2197
21.2%
1 1629
15.7%
5 1538
14.9%
8 865
 
8.4%
7 833
 
8.0%
6 794
 
7.7%
9 651
 
6.3%
3 639
 
6.2%
4 628
 
6.1%
2 579
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1619
100.0%
Space Separator
ValueCountFrequency (%)
195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2197
18.0%
1 1629
13.4%
- 1619
13.3%
5 1538
12.6%
8 865
 
7.1%
7 833
 
6.8%
6 794
 
6.5%
9 651
 
5.3%
3 639
 
5.2%
4 628
 
5.2%
Other values (6) 792
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2197
18.0%
1 1629
13.4%
- 1619
13.3%
5 1538
12.6%
8 865
 
7.1%
7 833
 
6.8%
6 794
 
6.5%
9 651
 
5.3%
3 639
 
5.2%
4 628
 
5.2%
Other values (6) 792
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1319
Missing (%)100.0%
Memory size11.7 KiB

소재지우편번호
Text

MISSING 

Distinct251
Distinct (%)30.5%
Missing497
Missing (%)37.7%
Memory size10.4 KiB
2024-04-17T15:05:45.515062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters5754
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

Unique146 ?
Unique (%)17.8%

Sample

1st row600-012
2nd row600-714
3rd row600-816
4th row600-721
5th row600-723
ValueCountFrequency (%)
614-050 45
 
5.5%
614-030 42
 
5.1%
612-020 26
 
3.2%
614-040 26
 
3.2%
607-060 26
 
3.2%
611-080 24
 
2.9%
614-020 21
 
2.6%
611-839 18
 
2.2%
613-100 14
 
1.7%
613-120 13
 
1.6%
Other values (241) 567
69.0%
2024-04-17T15:05:45.843991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1188
20.6%
1 967
16.8%
6 938
16.3%
- 822
14.3%
4 450
 
7.8%
8 404
 
7.0%
3 273
 
4.7%
2 258
 
4.5%
7 189
 
3.3%
5 135
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4932
85.7%
Dash Punctuation 822
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1188
24.1%
1 967
19.6%
6 938
19.0%
4 450
 
9.1%
8 404
 
8.2%
3 273
 
5.5%
2 258
 
5.2%
7 189
 
3.8%
5 135
 
2.7%
9 130
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 822
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5754
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1188
20.6%
1 967
16.8%
6 938
16.3%
- 822
14.3%
4 450
 
7.8%
8 404
 
7.0%
3 273
 
4.7%
2 258
 
4.5%
7 189
 
3.3%
5 135
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5754
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1188
20.6%
1 967
16.8%
6 938
16.3%
- 822
14.3%
4 450
 
7.8%
8 404
 
7.0%
3 273
 
4.7%
2 258
 
4.5%
7 189
 
3.3%
5 135
 
2.3%

소재지전체주소
Text

MISSING 

Distinct829
Distinct (%)76.1%
Missing229
Missing (%)17.4%
Memory size10.4 KiB
2024-04-17T15:05:46.086524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length28.484404
Min length12

Characters and Unicode

Total characters31048
Distinct characters338
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique698 ?
Unique (%)64.0%

Sample

1st row부산광역시 중구 중앙동*가 **-**
2nd row부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층
3rd row부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층
4th row부산광역시 중구 중앙동*가 **번지 *호 케이티중부산지사 *층
5th row부산광역시 중구 중앙동*가 **번지 *호 흥우빌딩 *층
ValueCountFrequency (%)
부산광역시 1089
16.7%
호 1063
16.3%
번지 960
14.8%
층 339
 
5.2%
부산진구 298
 
4.6%
연제구 184
 
2.8%
150
 
2.3%
연산동 126
 
1.9%
동래구 101
 
1.6%
부전동 91
 
1.4%
Other values (628) 2105
32.4%
2024-04-17T15:05:46.441174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6347
20.4%
5440
17.5%
산 1590
 
5.1%
부 1546
 
5.0%
동 1333
 
4.3%
광 1124
 
3.6%
시 1108
 
3.6%
구 1101
 
3.5%
역 1094
 
3.5%
호 1087
 
3.5%
Other values (328) 9278
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18993
61.2%
Other Punctuation 6377
 
20.5%
Space Separator 5440
 
17.5%
Dash Punctuation 115
 
0.4%
Uppercase Letter 101
 
0.3%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1590
 
8.4%
부 1546
 
8.1%
동 1333
 
7.0%
광 1124
 
5.9%
시 1108
 
5.8%
구 1101
 
5.8%
역 1094
 
5.8%
호 1087
 
5.7%
지 1018
 
5.4%
번 961
 
5.1%
Other values (303) 7031
37.0%
Uppercase Letter
ValueCountFrequency (%)
K 26
25.7%
T 25
24.8%
S 12
11.9%
B 12
11.9%
O 6
 
5.9%
I 3
 
3.0%
D 3
 
3.0%
H 2
 
2.0%
W 2
 
2.0%
E 2
 
2.0%
Other values (5) 8
 
7.9%
Other Punctuation
ValueCountFrequency (%)
* 6347
99.5%
, 22
 
0.3%
/ 7
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5440
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18993
61.2%
Common 11951
38.5%
Latin 104
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1590
 
8.4%
부 1546
 
8.1%
동 1333
 
7.0%
광 1124
 
5.9%
시 1108
 
5.8%
구 1101
 
5.8%
역 1094
 
5.8%
호 1087
 
5.7%
지 1018
 
5.4%
번 961
 
5.1%
Other values (303) 7031
37.0%
Latin
ValueCountFrequency (%)
K 26
25.0%
T 25
24.0%
S 12
11.5%
B 12
11.5%
O 6
 
5.8%
I 3
 
2.9%
e 3
 
2.9%
D 3
 
2.9%
H 2
 
1.9%
W 2
 
1.9%
Other values (6) 10
 
9.6%
Common
ValueCountFrequency (%)
* 6347
53.1%
5440
45.5%
- 115
 
1.0%
, 22
 
0.2%
) 8
 
0.1%
( 8
 
0.1%
/ 7
 
0.1%
~ 3
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18993
61.2%
ASCII 12055
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6347
52.7%
5440
45.1%
- 115
 
1.0%
K 26
 
0.2%
T 25
 
0.2%
, 22
 
0.2%
S 12
 
0.1%
B 12
 
0.1%
) 8
 
0.1%
( 8
 
0.1%
Other values (15) 40
 
0.3%
Hangul
ValueCountFrequency (%)
산 1590
 
8.4%
부 1546
 
8.1%
동 1333
 
7.0%
광 1124
 
5.9%
시 1108
 
5.8%
구 1101
 
5.8%
역 1094
 
5.8%
호 1087
 
5.7%
지 1018
 
5.4%
번 961
 
5.1%
Other values (303) 7031
37.0%

도로명전체주소
Text

MISSING 

Distinct1067
Distinct (%)85.2%
Missing67
Missing (%)5.1%
Memory size10.4 KiB
2024-04-17T15:05:46.675093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47.5
Mean length33.277955
Min length21

Characters and Unicode

Total characters41664
Distinct characters368
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique935 ?
Unique (%)74.7%

Sample

1st row부산광역시 중구 충장대로*번길 **, 남정빌딩 ***호 (중앙동*가)
2nd row부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)
3rd row부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)
4th row부산광역시 중구 중앙대로 *** (중앙동*가)
5th row부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보 부산사옥)
ValueCountFrequency (%)
1280
16.7%
부산광역시 1252
 
16.3%
층 488
 
6.4%
호 391
 
5.1%
부산진구 364
 
4.7%
중앙대로 246
 
3.2%
연제구 199
 
2.6%
해운대구 114
 
1.5%
연산동 104
 
1.4%
동래구 95
 
1.2%
Other values (1060) 3147
41.0%
2024-04-17T15:05:47.049226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6505
 
15.6%
6435
 
15.4%
산 1855
 
4.5%
부 1839
 
4.4%
동 1657
 
4.0%
, 1367
 
3.3%
시 1313
 
3.2%
광 1305
 
3.1%
구 1265
 
3.0%
역 1256
 
3.0%
Other values (358) 16867
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24577
59.0%
Other Punctuation 7879
 
18.9%
Space Separator 6435
 
15.4%
Close Punctuation 1245
 
3.0%
Open Punctuation 1245
 
3.0%
Uppercase Letter 139
 
0.3%
Dash Punctuation 131
 
0.3%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1855
 
7.5%
부 1839
 
7.5%
동 1657
 
6.7%
시 1313
 
5.3%
광 1305
 
5.3%
구 1265
 
5.1%
역 1256
 
5.1%
로 1253
 
5.1%
대 731
 
3.0%
층 617
 
2.5%
Other values (331) 11486
46.7%
Uppercase Letter
ValueCountFrequency (%)
K 39
28.1%
T 37
26.6%
B 12
 
8.6%
S 10
 
7.2%
O 6
 
4.3%
C 5
 
3.6%
A 5
 
3.6%
I 4
 
2.9%
W 4
 
2.9%
E 4
 
2.9%
Other values (6) 13
 
9.4%
Other Punctuation
ValueCountFrequency (%)
* 6505
82.6%
, 1367
 
17.3%
/ 7
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
k 2
 
22.2%
t 2
 
22.2%
Space Separator
ValueCountFrequency (%)
6435
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24577
59.0%
Common 16939
40.7%
Latin 148
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1855
 
7.5%
부 1839
 
7.5%
동 1657
 
6.7%
시 1313
 
5.3%
광 1305
 
5.3%
구 1265
 
5.1%
역 1256
 
5.1%
로 1253
 
5.1%
대 731
 
3.0%
층 617
 
2.5%
Other values (331) 11486
46.7%
Latin
ValueCountFrequency (%)
K 39
26.4%
T 37
25.0%
B 12
 
8.1%
S 10
 
6.8%
O 6
 
4.1%
C 5
 
3.4%
e 5
 
3.4%
A 5
 
3.4%
I 4
 
2.7%
W 4
 
2.7%
Other values (9) 21
14.2%
Common
ValueCountFrequency (%)
* 6505
38.4%
6435
38.0%
, 1367
 
8.1%
) 1245
 
7.3%
( 1245
 
7.3%
- 131
 
0.8%
/ 7
 
< 0.1%
~ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24577
59.0%
ASCII 17087
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6505
38.1%
6435
37.7%
, 1367
 
8.0%
) 1245
 
7.3%
( 1245
 
7.3%
- 131
 
0.8%
K 39
 
0.2%
T 37
 
0.2%
B 12
 
0.1%
S 10
 
0.1%
Other values (17) 61
 
0.4%
Hangul
ValueCountFrequency (%)
산 1855
 
7.5%
부 1839
 
7.5%
동 1657
 
6.7%
시 1313
 
5.3%
광 1305
 
5.3%
구 1265
 
5.1%
역 1256
 
5.1%
로 1253
 
5.1%
대 731
 
3.0%
층 617
 
2.5%
Other values (331) 11486
46.7%

도로명우편번호
Text

MISSING 

Distinct397
Distinct (%)58.6%
Missing642
Missing (%)48.7%
Memory size10.4 KiB
2024-04-17T15:05:47.307873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.915805
Min length5

Characters and Unicode

Total characters4005
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

Unique273 ?
Unique (%)40.3%

Sample

1st row48936
2nd row600-816
3rd row600-815
4th row600-815
5th row48934
ValueCountFrequency (%)
48059 22
 
3.2%
614-853 18
 
2.7%
611-839 17
 
2.5%
47596 10
 
1.5%
47257 8
 
1.2%
614-843 6
 
0.9%
614-870 6
 
0.9%
46569 6
 
0.9%
611-820 6
 
0.9%
611-831 6
 
0.9%
Other values (387) 572
84.5%
2024-04-17T15:05:47.688947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 658
16.4%
6 523
13.1%
1 492
12.3%
8 445
11.1%
7 359
9.0%
0 310
7.7%
- 310
7.7%
2 278
6.9%
5 239
 
6.0%
3 210
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3695
92.3%
Dash Punctuation 310
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 658
17.8%
6 523
14.2%
1 492
13.3%
8 445
12.0%
7 359
9.7%
0 310
8.4%
2 278
7.5%
5 239
 
6.5%
3 210
 
5.7%
9 181
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4005
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 658
16.4%
6 523
13.1%
1 492
12.3%
8 445
11.1%
7 359
9.0%
0 310
7.7%
- 310
7.7%
2 278
6.9%
5 239
 
6.0%
3 210
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 658
16.4%
6 523
13.1%
1 492
12.3%
8 445
11.1%
7 359
9.0%
0 310
7.7%
- 310
7.7%
2 278
6.9%
5 239
 
6.0%
3 210
 
5.2%

사업장명
Text

Distinct1262
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2024-04-17T15:05:47.910348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length7.7649735
Min length1

Characters and Unicode

Total characters10242
Distinct characters498
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

Unique1210 ?
Unique (%)91.7%

Sample

1st row코어(CORE)
2nd row(주)두성크리에이터
3rd row(주)야마야푸즈서비스
4th row(주)텔라이브
5th row한국사진기자협회 영남지사
ValueCountFrequency (%)
주식회사 192
 
11.4%
주 13
 
0.8%
부산지점 5
 
0.3%
주)티브로드 5
 
0.3%
대부중개 5
 
0.3%
유한회사 4
 
0.2%
농업회사법인 4
 
0.2%
모바일 4
 
0.2%
주)대영씨엔아이 3
 
0.2%
정보통신 3
 
0.2%
Other values (1351) 1439
85.8%
2024-04-17T15:05:48.238228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 698
 
6.8%
( 526
 
5.1%
) 526
 
5.1%
361
 
3.5%
이 320
 
3.1%
사 270
 
2.6%
스 258
 
2.5%
회 241
 
2.4%
식 218
 
2.1%
신 165
 
1.6%
Other values (488) 6659
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8379
81.8%
Open Punctuation 526
 
5.1%
Close Punctuation 526
 
5.1%
Space Separator 361
 
3.5%
Uppercase Letter 261
 
2.5%
Lowercase Letter 104
 
1.0%
Other Punctuation 50
 
0.5%
Decimal Number 21
 
0.2%
Other Symbol 13
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 698
 
8.3%
이 320
 
3.8%
사 270
 
3.2%
스 258
 
3.1%
회 241
 
2.9%
식 218
 
2.6%
신 165
 
2.0%
통 162
 
1.9%
부 138
 
1.6%
에 136
 
1.6%
Other values (426) 5773
68.9%
Uppercase Letter
ValueCountFrequency (%)
S 22
 
8.4%
M 21
 
8.0%
C 17
 
6.5%
T 17
 
6.5%
A 16
 
6.1%
K 15
 
5.7%
I 14
 
5.4%
L 13
 
5.0%
N 13
 
5.0%
B 13
 
5.0%
Other values (16) 100
38.3%
Lowercase Letter
ValueCountFrequency (%)
o 16
15.4%
i 12
11.5%
n 11
10.6%
e 9
8.7%
s 8
 
7.7%
t 7
 
6.7%
d 6
 
5.8%
c 5
 
4.8%
l 5
 
4.8%
u 5
 
4.8%
Other values (11) 20
19.2%
Decimal Number
ValueCountFrequency (%)
1 8
38.1%
0 4
19.0%
2 3
 
14.3%
4 2
 
9.5%
7 2
 
9.5%
5 2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
. 24
48.0%
& 20
40.0%
/ 4
 
8.0%
, 2
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 526
100.0%
Close Punctuation
ValueCountFrequency (%)
) 526
100.0%
Space Separator
ValueCountFrequency (%)
361
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8392
81.9%
Common 1485
 
14.5%
Latin 365
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 698
 
8.3%
이 320
 
3.8%
사 270
 
3.2%
스 258
 
3.1%
회 241
 
2.9%
식 218
 
2.6%
신 165
 
2.0%
통 162
 
1.9%
부 138
 
1.6%
에 136
 
1.6%
Other values (427) 5786
68.9%
Latin
ValueCountFrequency (%)
S 22
 
6.0%
M 21
 
5.8%
C 17
 
4.7%
T 17
 
4.7%
o 16
 
4.4%
A 16
 
4.4%
K 15
 
4.1%
I 14
 
3.8%
L 13
 
3.6%
N 13
 
3.6%
Other values (37) 201
55.1%
Common
ValueCountFrequency (%)
( 526
35.4%
) 526
35.4%
361
24.3%
. 24
 
1.6%
& 20
 
1.3%
1 8
 
0.5%
0 4
 
0.3%
/ 4
 
0.3%
2 3
 
0.2%
, 2
 
0.1%
Other values (4) 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8379
81.8%
ASCII 1850
 
18.1%
None 13
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 698
 
8.3%
이 320
 
3.8%
사 270
 
3.2%
스 258
 
3.1%
회 241
 
2.9%
식 218
 
2.6%
신 165
 
2.0%
통 162
 
1.9%
부 138
 
1.6%
에 136
 
1.6%
Other values (426) 5773
68.9%
ASCII
ValueCountFrequency (%)
( 526
28.4%
) 526
28.4%
361
19.5%
. 24
 
1.3%
S 22
 
1.2%
M 21
 
1.1%
& 20
 
1.1%
C 17
 
0.9%
T 17
 
0.9%
o 16
 
0.9%
Other values (51) 300
16.2%
None
ValueCountFrequency (%)
㈜ 13
100.0%

최종수정시점
Date

UNIQUE 

Distinct1319
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
Minimum2007-07-31 14:40:05
Maximum2023-01-27 17:10:06
2024-04-17T15:05:48.352263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:05:48.459785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
I
1131 
U
188 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1131
85.7%
U 188
 
14.3%

Length

2024-04-17T15:05:48.559663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:05:48.634653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1131
85.7%
u 188
 
14.3%

데이터갱신일자
Date

Distinct250
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-29 02:40:00
2024-04-17T15:05:48.716116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:05:48.825873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1319
Missing (%)100.0%
Memory size11.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct824
Distinct (%)65.4%
Missing60
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean388696.7
Minimum373571.48
Maximum407471.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:48.940205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373571.48
5-th percentile380971.21
Q1387469.83
median388627.97
Q3390161.55
95-th percentile395319.23
Maximum407471.57
Range33900.093
Interquartile range (IQR)2691.7133

Descriptive statistics

Standard deviation4070.441
Coefficient of variation (CV)0.010472024
Kurtosis2.9439813
Mean388696.7
Median Absolute Deviation (MAD)1316.8308
Skewness0.24787733
Sum4.8936915 × 108
Variance16568490
MonotonicityNot monotonic
2024-04-17T15:05:49.054193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
388485.246432899 23
 
1.7%
389473.281486449 19
 
1.4%
387225.613588405 16
 
1.2%
387993.482649182 12
 
0.9%
387630.58080969 11
 
0.8%
388798.742326259 9
 
0.7%
393963.840834294 8
 
0.6%
393790.344709358 8
 
0.6%
392859.978697888 8
 
0.6%
387469.584540928 7
 
0.5%
Other values (814) 1138
86.3%
(Missing) 60
 
4.5%
ValueCountFrequency (%)
373571.480942057 2
0.2%
373988.512839189 1
0.1%
374147.216821474 1
0.1%
374253.112341011 1
0.1%
376599.300710172 1
0.1%
376897.678873247 1
0.1%
377141.445457607 1
0.1%
377198.038259415 2
0.2%
377614.488355711 1
0.1%
378105.275765267 1
0.1%
ValueCountFrequency (%)
407471.574421528 2
0.2%
407224.084854733 1
0.1%
407089.382563893 1
0.1%
405522.604210084 1
0.1%
403804.617191316 1
0.1%
402225.502651266 1
0.1%
401682.97588467 1
0.1%
401645.825170162 1
0.1%
401447.638847969 1
0.1%
401438.308239304 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct824
Distinct (%)65.4%
Missing60
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean187847.84
Minimum174926.66
Maximum206281.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:49.159317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174926.66
5-th percentile180562.91
Q1185529.62
median187658.4
Q3189726
95-th percentile195838.53
Maximum206281.27
Range31354.607
Interquartile range (IQR)4196.3829

Descriptive statistics

Standard deviation4380.2355
Coefficient of variation (CV)0.023317998
Kurtosis1.8494281
Mean187847.84
Median Absolute Deviation (MAD)2076.1214
Skewness0.55870308
Sum2.3650043 × 108
Variance19186463
MonotonicityNot monotonic
2024-04-17T15:05:49.265329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187658.396387017 23
 
1.7%
189228.061082038 19
 
1.4%
186408.726533861 16
 
1.2%
186876.485393314 12
 
0.9%
186409.994828231 11
 
0.8%
188328.743910701 9
 
0.7%
188061.35516256 8
 
0.6%
188235.889521484 8
 
0.6%
187523.604270754 8
 
0.6%
186168.671007785 7
 
0.5%
Other values (814) 1138
86.3%
(Missing) 60
 
4.5%
ValueCountFrequency (%)
174926.658916532 1
0.1%
174949.822461937 1
0.1%
175213.001131118 1
0.1%
175359.769070119 1
0.1%
175806.418407582 1
0.1%
176580.102067639 1
0.1%
176697.577167306 1
0.1%
176893.324496569 1
0.1%
177436.655876835 1
0.1%
177507.608774067 2
0.2%
ValueCountFrequency (%)
206281.265893726 1
0.1%
206018.432824666 1
0.1%
205933.277545703 1
0.1%
205474.842798368 2
0.2%
205403.736900702 1
0.1%
205331.700588625 1
0.1%
204619.863730079 1
0.1%
203492.648318112 1
0.1%
202095.800994087 1
0.1%
201768.043889145 1
0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct309
Distinct (%)39.9%
Missing545
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean8.4585418 × 1010
Minimum0
Maximum5.8274736 × 1013
Zeros117
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:49.374865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110000000
median50000000
Q33 × 108
95-th percentile4.7353033 × 109
Maximum5.8274736 × 1013
Range5.8274736 × 1013
Interquartile range (IQR)2.9 × 108

Descriptive statistics

Standard deviation2.1003668 × 1012
Coefficient of variation (CV)24.831311
Kurtosis765.09346
Mean8.4585418 × 1010
Median Absolute Deviation (MAD)50000000
Skewness27.591247
Sum6.5469113 × 1013
Variance4.4115407 × 1024
MonotonicityNot monotonic
2024-04-17T15:05:49.494771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 153
 
11.6%
0 117
 
8.9%
10000000 48
 
3.6%
100000000 36
 
2.7%
30000000 27
 
2.0%
20000000 25
 
1.9%
150000000 16
 
1.2%
1000000 9
 
0.7%
5000000 9
 
0.7%
300000000 9
 
0.7%
Other values (299) 325
24.6%
(Missing) 545
41.3%
ValueCountFrequency (%)
0 117
8.9%
50000 1
 
0.1%
199560 1
 
0.1%
300000 1
 
0.1%
1000000 9
 
0.7%
2000000 2
 
0.2%
2968387 1
 
0.1%
3000000 2
 
0.2%
4195000 1
 
0.1%
5000000 9
 
0.7%
ValueCountFrequency (%)
58274736121400 1
0.1%
4287171590435 1
0.1%
813483890826 1
0.1%
771591249407 1
0.1%
154739323959 1
0.1%
120453637382 1
0.1%
100091909215 1
0.1%
86314571577 1
0.1%
67525432454 1
0.1%
49418153697 1
0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct272
Distinct (%)35.3%
Missing548
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean7.5512687 × 1010
Minimum0
Maximum5.3019721 × 1013
Zeros465
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T15:05:49.610763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.2261268 × 108
95-th percentile2.9904599 × 109
Maximum5.3019721 × 1013
Range5.3019721 × 1013
Interquartile range (IQR)1.2261268 × 108

Descriptive statistics

Standard deviation1.9142209 × 1012
Coefficient of variation (CV)25.349659
Kurtosis762.9542
Mean7.5512687 × 1010
Median Absolute Deviation (MAD)0
Skewness27.559107
Sum5.8220282 × 1013
Variance3.6642416 × 1024
MonotonicityNot monotonic
2024-04-17T15:05:49.730454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 465
35.3%
100000000 9
 
0.7%
30000000 7
 
0.5%
20000000 6
 
0.5%
50000000 6
 
0.5%
10000000 4
 
0.3%
80000000 4
 
0.3%
238797924 2
 
0.2%
274000000 2
 
0.2%
16011376981 2
 
0.2%
Other values (262) 264
20.0%
(Missing) 548
41.5%
ValueCountFrequency (%)
0 465
35.3%
55356 1
 
0.1%
443448 1
 
0.1%
968387 1
 
0.1%
985303 1
 
0.1%
1101240 1
 
0.1%
1256855 1
 
0.1%
1261800 1
 
0.1%
1273100 1
 
0.1%
1700000 1
 
0.1%
ValueCountFrequency (%)
53019720896146 1
0.1%
3781725721668 1
0.1%
665004058309 1
0.1%
101945709477 1
0.1%
72002590189 1
0.1%
71755142536 1
0.1%
31483064051 1
0.1%
30070787337 1
0.1%
26762675048 1
0.1%
26482000000 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct154
Distinct (%)19.9%
Missing547
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean8.5493737 × 109
Minimum-3.3891026 × 109
Maximum5.2550152 × 1012
Zeros76
Zeros (%)5.8%
Negative6
Negative (%)0.5%
Memory size11.7 KiB
2024-04-17T15:05:49.841485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.3891026 × 109
5-th percentile0
Q110000000
median50000000
Q31 × 108
95-th percentile1 × 109
Maximum5.2550152 × 1012
Range5.2584043 × 1012
Interquartile range (IQR)90000000

Descriptive statistics

Standard deviation1.9112695 × 1011
Coefficient of variation (CV)22.355667
Kurtosis739.44562
Mean8.5493737 × 109
Median Absolute Deviation (MAD)40000000
Skewness26.972185
Sum6.6001165 × 1012
Variance3.6529512 × 1022
MonotonicityNot monotonic
2024-04-17T15:05:49.962554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 241
18.3%
0 76
 
5.8%
10000000 69
 
5.2%
100000000 53
 
4.0%
150000000 41
 
3.1%
30000000 30
 
2.3%
20000000 27
 
2.0%
300000000 19
 
1.4%
1000000 15
 
1.1%
5000000 12
 
0.9%
Other values (144) 189
 
14.3%
(Missing) 547
41.5%
ValueCountFrequency (%)
-3389102595 1
 
0.1%
-359742524 1
 
0.1%
-58087973 1
 
0.1%
-42713664 1
 
0.1%
-30721315 1
 
0.1%
-20089024 1
 
0.1%
0 76
5.8%
10000 1
 
0.1%
50000 2
 
0.2%
200000 1
 
0.1%
ValueCountFrequency (%)
5255015225254 1
0.1%
741481300637 1
0.1%
218000000000 1
0.1%
61194035158 1
0.1%
31000000000 1
0.1%
30860000000 1
0.1%
21633164631 1
0.1%
20747480000 1
0.1%
20000000000 2
0.2%
15261799186 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1319
Missing (%)100.0%
Memory size11.7 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1319
Missing (%)100.0%
Memory size11.7 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
01전화권유판매업08_26_03_P325000020183250083242000012018-03-14<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-466-0046<NA><NA>부산광역시 중구 중앙동*가 **-**부산광역시 중구 충장대로*번길 **, 남정빌딩 ***호 (중앙동*가)48936코어(CORE)2020-10-07 12:57:57U2020-10-09 02:40:00<NA>385752.555956180859.809126<NA><NA><NA><NA><NA>
12전화권유판매업08_26_03_P325000020083250059242000012008-04-16<NA>3폐업3폐업처리2010-03-31<NA><NA><NA>051 710 0088<NA>600-012부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)<NA>(주)두성크리에이터2010-03-31 15:58:44I2018-08-31 23:59:59<NA>385568.38851179981.05839450000000050000000<NA><NA>
23전화권유판매업08_26_03_P325000020073250059242000322007-05-07<NA>3폐업3폐업처리2009-03-10<NA><NA><NA>051 465 2480<NA>600-714부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)<NA>(주)야마야푸즈서비스2009-03-11 13:47:34I2018-08-31 23:59:59<NA>385666.280865179774.15839628859957589283668222000000000<NA><NA>
34전화권유판매업08_26_03_P325000020093250083242000012008-04-14<NA>3폐업3폐업처리2010-11-23<NA><NA><NA><NA><NA>600-816부산광역시 중구 중앙동*가 **번지 *호 케이티중부산지사 *층부산광역시 중구 중앙대로 *** (중앙동*가)600-816(주)텔라이브2011-10-30 14:31:21I2018-08-31 23:59:59<NA>385709.21692180842.067771430355559118420371100000000<NA><NA>
45전화권유판매업08_26_03_P325000020133250083242000012013-05-09<NA>3폐업3폐업처리2020-12-28<NA><NA><NA>051-463-3556<NA><NA><NA>부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보 부산사옥)600-815한국사진기자협회 영남지사2020-12-28 14:15:12U2020-12-30 02:40:00<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
56전화권유판매업08_26_03_P325000020073250059242000342007-07-16<NA>3폐업3폐업처리2008-01-25<NA><NA><NA>051 441 2905<NA>600-721부산광역시 중구 중앙동*가 **번지 *호 흥우빌딩 *층부산광역시 중구 중앙대로 ** (중앙동*가,흥우빌딩 *층)<NA>(주)유니원2008-01-25 14:19:37I2018-08-31 23:59:59<NA>385614.928478180471.183034877495656549881097350000000<NA><NA>
67전화권유판매업08_26_03_P325000020133250083242000022013-06-21<NA>3폐업3폐업처리2014-12-31<NA><NA><NA>051-464-5288<NA><NA><NA>부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보부산사옥)600-815한국조사기자협회 영남지부2014-12-31 10:12:15I2018-08-31 23:59:59<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
78전화권유판매업08_26_03_P325000020083250059242000032008-04-28<NA>3폐업3폐업처리2008-08-26<NA><NA><NA>051 711 3000<NA>600-723부산광역시 중구 중앙동*가 **번지 **호 정석빌딩 ***호부산광역시 중구 중앙대로 **, ***호 (중앙동*가,정석빌딩)<NA>(주)대광인베스트2008-08-26 15:13:27I2018-08-31 23:59:59<NA>385616.660201180406.241288319817275329852750000000<NA><NA>
89전화권유판매업08_26_03_P325000020083250059242000042008-06-23<NA>3폐업3폐업처리2009-06-17<NA><NA><NA>051 441 8837<NA>600-110부산광역시 중구 영주동 ***번지 **호부산광역시 중구 동영로 ** (영주동)<NA>늘푸른유통2011-10-30 15:02:09I2018-08-31 23:59:59<NA>385156.035884180976.447427<NA><NA><NA><NA><NA>
910전화권유판매업08_26_03_P325000020153250083242000012014-11-20<NA>3폐업3폐업처리2017-11-03<NA><NA><NA>413-0200<NA><NA><NA>부산광역시 중구 충장대로*번길 **, *층 (중앙동*가, KT서부산지사)48934승리닷컴2017-11-03 09:36:38I2018-08-31 23:59:59<NA>385811.634937180996.883871<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
13091310전화권유판매업08_26_03_P340000020153400072242000012015-08-17<NA>3폐업3폐업처리2018-11-13<NA><NA><NA>051-728-3019<NA><NA>부산광역시 기장군 정관읍 달산리 ****번지 정관신도시 엘에이치 *단지부산광역시 기장군 정관읍 산단*로 ***, ***동 ***호 (정관신도시 엘에이치 *단지)46021엠(M)2 글로벌2018-11-13 16:41:51U2018-11-15 02:36:16<NA>399332.52145204619.86373<NA><NA><NA><NA><NA>
13101311전화권유판매업08_26_03_P340000020163400072242000012016-04-11<NA>3폐업3폐업처리2016-05-27<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 용궁길 **-*46084해동용궁수산2016-05-27 10:28:26I2018-08-31 23:59:59<NA>402225.502651190035.925004<NA><NA><NA><NA><NA>
13111312전화권유판매업08_26_03_P340000020173400072242000022016-06-07<NA>3폐업3폐업처리2017-06-07<NA><NA><NA>051-717-2371<NA><NA><NA>부산광역시 기장군 장안읍 장곡길 ***, ***동 ***호 (보경아트VILL)46033주식회사 오성피앤씨2017-06-19 15:54:19I2018-08-31 23:59:59<NA>403804.617191203492.64831810000000010000000<NA><NA>
13121313전화권유판매업08_26_03_P340000020173400109242000012016-06-29<NA>3폐업3폐업처리2017-11-03<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 정관*로 **, ***동 ****호 (정관신도시현진에버빌)46009알뜰모바일2017-11-03 10:10:34I2018-08-31 23:59:59<NA>397059.580686205933.277546<NA><NA><NA><NA><NA>
13131314전화권유판매업08_26_03_P340000020183400109242000012018-03-14<NA>3폐업3폐업처리2021-11-22<NA><NA><NA>070-8179-2000<NA><NA>부산광역시 기장군 일광면 신평리 **번지 칠암마을회관부산광역시 기장군 일광면 문오성길 ***-*, 칠암마을회관46040주식회사 오토기술2021-11-24 20:06:44U2021-11-26 02:40:00<NA>405522.60421202095.80099400150000000<NA><NA>
13141315전화권유판매업08_26_03_P340000020083400044242000012008-08-26<NA>3폐업3폐업처리2014-11-05<NA><NA><NA>051-747-4300<NA>619-951부산광역시 기장군 장안읍 월내리 **번지 **호부산광역시 기장군 장안읍 월내해안길 **<NA>(주) 네스아이2014-11-05 13:49:22I2018-08-31 23:59:59<NA>407224.084855205403.73690133199734192932326239074015<NA><NA>
13151316전화권유판매업08_26_03_P340000020083400044242000022008-08-26<NA>3폐업3폐업처리2014-11-04<NA><NA><NA>051-817-0555<NA>619-903부산광역시 기장군 기장읍 대라리 ***번지 *호부산광역시 기장군 기장읍 차성로 ***<NA>(주) 제일아이엔씨2014-11-05 10:56:52I2018-08-31 23:59:59<NA>401374.624968195838.533464507057337164654698160000000<NA><NA>
13161317전화권유판매업08_26_03_P340000020123400044242000062012-06-12<NA>3폐업3폐업처리2014-08-04<NA><NA><NA>051-723-2126<NA><NA><NA>부산광역시 기장군 기장읍 당사로*길 *619-902MY LG 070 서비스2014-08-04 15:52:41I2018-08-31 23:59:59<NA>401199.2284189625.15520300<NA><NA><NA>
13171318전화권유판매업08_26_03_P340000020213400109242000032021-04-22<NA>3폐업3폐업처리2022-05-02<NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 방곡리 *** 이지더원*차부산광역시 기장군 정관읍 방곡로 **, ***동 ***호 (이지더원*차)46019엠엔엠2022-07-29 16:25:30U2022-07-31 02:40:00<NA>398918.600051205331.700589000<NA><NA>
13181319전화권유판매업08_26_03_P340000020213400109242000022021-01-20<NA>3폐업3폐업처리2021-10-25<NA><NA><NA>051-702-1017<NA><NA>부산광역시 기장군 기장읍 동부리 ***-**부산광역시 기장군 기장읍 차성로***번길 **, *층46060주식회사 에이치씨글로벌2021-10-25 17:07:13U2021-10-27 02:40:00<NA>401272.722582196533.32174430000000030000000<NA><NA>