Overview

Dataset statistics

Number of variables64
Number of observations1243
Missing cells26242
Missing cells (%)33.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory676.3 KiB
Average record size in memory557.1 B

Variable types

Numeric19
Categorical25
Text6
Unsupported13
DateTime1

Dataset

Description2022-01-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123072

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
상세영업상태명 is highly imbalanced (52.2%)Imbalance
휴업시작일자 is highly imbalanced (98.2%)Imbalance
휴업종료일자 is highly imbalanced (98.2%)Imbalance
지역구분명 is highly imbalanced (68.6%)Imbalance
주변환경명 is highly imbalanced (73.2%)Imbalance
건물용도명 is highly imbalanced (71.7%)Imbalance
영문상호주소 is highly imbalanced (93.6%)Imbalance
기획여행보험시작일자 is highly imbalanced (99.1%)Imbalance
기획여행보험종료일자 is highly imbalanced (99.1%)Imbalance
인허가취소일자 has 1197 (96.3%) missing valuesMissing
폐업일자 has 608 (48.9%) missing valuesMissing
재개업일자 has 1243 (100.0%) missing valuesMissing
소재지전화 has 316 (25.4%) missing valuesMissing
소재지면적 has 1243 (100.0%) missing valuesMissing
소재지우편번호 has 582 (46.8%) missing valuesMissing
도로명전체주소 has 56 (4.5%) missing valuesMissing
도로명우편번호 has 399 (32.1%) missing valuesMissing
업태구분명 has 1243 (100.0%) missing valuesMissing
좌표정보(x) has 38 (3.1%) missing valuesMissing
좌표정보(y) has 38 (3.1%) missing valuesMissing
총층수 has 901 (72.5%) missing valuesMissing
제작취급품목내용 has 1243 (100.0%) missing valuesMissing
지상층수 has 877 (70.6%) missing valuesMissing
지하층수 has 975 (78.4%) missing valuesMissing
영문상호명 has 1214 (97.7%) missing valuesMissing
선박제원 has 1243 (100.0%) missing valuesMissing
기념품종류 has 1243 (100.0%) missing valuesMissing
시설면적 has 825 (66.4%) missing valuesMissing
놀이기구수내역 has 1243 (100.0%) missing valuesMissing
방송시설유무 has 1243 (100.0%) missing valuesMissing
발전시설유무 has 1243 (100.0%) missing valuesMissing
의무실유무 has 1243 (100.0%) missing valuesMissing
안내소유무 has 1243 (100.0%) missing valuesMissing
자본금 has 395 (31.8%) missing valuesMissing
보험시작일자 has 419 (33.7%) missing valuesMissing
보험종료일자 has 418 (33.6%) missing valuesMissing
부대시설내역 has 1243 (100.0%) missing valuesMissing
시설규모 has 825 (66.4%) missing valuesMissing
Unnamed: 63 has 1243 (100.0%) missing valuesMissing
자본금 is highly skewed (γ1 = 20.16562855)Skewed
번호 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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 145 (11.7%) zerosZeros
지상층수 has 145 (11.7%) zerosZeros
지하층수 has 172 (13.8%) zerosZeros
시설면적 has 136 (10.9%) zerosZeros
자본금 has 37 (3.0%) zerosZeros
시설규모 has 136 (10.9%) zerosZeros

Reproduction

Analysis started2024-04-16 06:49:01.208718
Analysis finished2024-04-16 06:49:02.293616
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1243
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean622
Minimum1
Maximum1243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:02.348550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile63.1
Q1311.5
median622
Q3932.5
95-th percentile1180.9
Maximum1243
Range1242
Interquartile range (IQR)621

Descriptive statistics

Standard deviation358.9675
Coefficient of variation (CV)0.57711817
Kurtosis-1.2
Mean622
Median Absolute Deviation (MAD)311
Skewness0
Sum773146
Variance128857.67
MonotonicityStrictly increasing
2024-04-16T15:49:02.461067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
828 1
 
0.1%
835 1
 
0.1%
834 1
 
0.1%
833 1
 
0.1%
832 1
 
0.1%
831 1
 
0.1%
830 1
 
0.1%
829 1
 
0.1%
827 1
 
0.1%
Other values (1233) 1233
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 (%)
1243 1
0.1%
1242 1
0.1%
1241 1
0.1%
1240 1
0.1%
1239 1
0.1%
1238 1
0.1%
1237 1
0.1%
1236 1
0.1%
1235 1
0.1%
1234 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
국내여행업
1243 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 1243
100.0%

Length

2024-04-16T15:49:02.563502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:02.635821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 1243
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
03_12_01_P
1243 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_12_01_P
2nd row03_12_01_P
3rd row03_12_01_P
4th row03_12_01_P
5th row03_12_01_P

Common Values

ValueCountFrequency (%)
03_12_01_P 1243
100.0%

Length

2024-04-16T15:49:02.707940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:02.780211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_01_p 1243
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3310201.1
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:02.859397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3300000
Q33340000
95-th percentile3380000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation41200.286
Coefficient of variation (CV)0.01244646
Kurtosis-0.85896961
Mean3310201.1
Median Absolute Deviation (MAD)30000
Skewness0.37569928
Sum4.11458 × 109
Variance1.6974635 × 109
MonotonicityIncreasing
2024-04-16T15:49:02.960109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 267
21.5%
3250000 144
11.6%
3330000 137
11.0%
3270000 130
10.5%
3300000 100
 
8.0%
3370000 98
 
7.9%
3310000 73
 
5.9%
3350000 61
 
4.9%
3380000 59
 
4.7%
3340000 37
 
3.0%
Other values (6) 137
11.0%
ValueCountFrequency (%)
3250000 144
11.6%
3260000 13
 
1.0%
3270000 130
10.5%
3280000 20
 
1.6%
3290000 267
21.5%
3300000 100
 
8.0%
3310000 73
 
5.9%
3320000 35
 
2.8%
3330000 137
11.0%
3340000 37
 
3.0%
ValueCountFrequency (%)
3400000 14
 
1.1%
3390000 34
 
2.7%
3380000 59
4.7%
3370000 98
7.9%
3360000 21
 
1.7%
3350000 61
4.9%
3340000 37
 
3.0%
3330000 137
11.0%
3320000 35
 
2.8%
3310000 73
5.9%
Distinct357
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-04-16T15:49:03.132600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters24860
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)9.1%

Sample

1st rowCDFI2260012007000013
2nd rowCDFI2260012019000002
3rd rowCDFI2260012019000006
4th rowCDFI2260012016000003
5th rowCDFI2260011997000006
ValueCountFrequency (%)
cdfi2260012011000001 15
 
1.2%
cdfi2260012019000001 14
 
1.1%
cdfi2260012020000001 14
 
1.1%
cdfi2260012016000001 13
 
1.0%
cdfi2260012021000001 13
 
1.0%
cdfi2260012019000002 13
 
1.0%
cdfi2260012001000001 12
 
1.0%
cdfi2260012021000003 12
 
1.0%
cdfi2260012018000002 12
 
1.0%
cdfi2260012021000002 12
 
1.0%
Other values (347) 1113
89.5%
2024-04-16T15:49:03.430027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10215
41.1%
2 4061
 
16.3%
1 2571
 
10.3%
6 1474
 
5.9%
C 1243
 
5.0%
D 1243
 
5.0%
F 1243
 
5.0%
I 1243
 
5.0%
9 431
 
1.7%
4 250
 
1.0%
Other values (4) 886
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19888
80.0%
Uppercase Letter 4972
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10215
51.4%
2 4061
 
20.4%
1 2571
 
12.9%
6 1474
 
7.4%
9 431
 
2.2%
4 250
 
1.3%
3 242
 
1.2%
5 242
 
1.2%
7 229
 
1.2%
8 173
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 1243
25.0%
D 1243
25.0%
F 1243
25.0%
I 1243
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19888
80.0%
Latin 4972
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10215
51.4%
2 4061
 
20.4%
1 2571
 
12.9%
6 1474
 
7.4%
9 431
 
2.2%
4 250
 
1.3%
3 242
 
1.2%
5 242
 
1.2%
7 229
 
1.2%
8 173
 
0.9%
Latin
ValueCountFrequency (%)
C 1243
25.0%
D 1243
25.0%
F 1243
25.0%
I 1243
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10215
41.1%
2 4061
 
16.3%
1 2571
 
10.3%
6 1474
 
5.9%
C 1243
 
5.0%
D 1243
 
5.0%
F 1243
 
5.0%
I 1243
 
5.0%
9 431
 
1.7%
4 250
 
1.0%
Other values (4) 886
 
3.6%

인허가일자
Real number (ℝ)

Distinct1096
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20095953
Minimum19840924
Maximum20211117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:03.547761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19840924
5-th percentile19970422
Q120045660
median20101201
Q320151217
95-th percentile20200294
Maximum20211117
Range370193
Interquartile range (IQR)105557

Descriptive statistics

Standard deviation72251.265
Coefficient of variation (CV)0.0035953142
Kurtosis-0.48848348
Mean20095953
Median Absolute Deviation (MAD)51072
Skewness-0.45654217
Sum2.4979269 × 1010
Variance5.2202453 × 109
MonotonicityNot monotonic
2024-04-16T15:49:03.698698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190328 4
 
0.3%
20051123 4
 
0.3%
20150209 3
 
0.2%
20180626 3
 
0.2%
20090113 3
 
0.2%
20160831 3
 
0.2%
20160129 3
 
0.2%
20110310 3
 
0.2%
20151006 3
 
0.2%
20160729 3
 
0.2%
Other values (1086) 1211
97.4%
ValueCountFrequency (%)
19840924 1
0.1%
19861025 1
0.1%
19890220 1
0.1%
19900313 1
0.1%
19900802 1
0.1%
19910325 1
0.1%
19910423 1
0.1%
19910918 1
0.1%
19911001 1
0.1%
19911101 1
0.1%
ValueCountFrequency (%)
20211117 1
0.1%
20211026 1
0.1%
20210914 2
0.2%
20210812 1
0.1%
20210804 2
0.2%
20210727 1
0.1%
20210719 1
0.1%
20210707 1
0.1%
20210625 2
0.2%
20210616 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)87.0%
Missing1197
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean20142395
Minimum20030822
Maximum20200226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:03.813282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030822
5-th percentile20061065
Q120110712
median20160576
Q320171224
95-th percentile20190515
Maximum20200226
Range169404
Interquartile range (IQR)60512

Descriptive statistics

Standard deviation46665.128
Coefficient of variation (CV)0.0023167616
Kurtosis-0.44030539
Mean20142395
Median Absolute Deviation (MAD)24991
Skewness-0.83392341
Sum9.2655018 × 108
Variance2.1776342 × 109
MonotonicityNot monotonic
2024-04-16T15:49:03.920478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20190305 3
 
0.2%
20170705 2
 
0.2%
20141007 2
 
0.2%
20190515 2
 
0.2%
20170424 2
 
0.2%
20200224 1
 
0.1%
20150128 1
 
0.1%
20140912 1
 
0.1%
20090724 1
 
0.1%
20080509 1
 
0.1%
Other values (30) 30
 
2.4%
(Missing) 1197
96.3%
ValueCountFrequency (%)
20030822 1
0.1%
20040902 1
0.1%
20061011 1
0.1%
20061228 1
0.1%
20070123 1
0.1%
20070510 1
0.1%
20080509 1
0.1%
20080813 1
0.1%
20090724 1
0.1%
20091007 1
0.1%
ValueCountFrequency (%)
20200226 1
 
0.1%
20200224 1
 
0.1%
20190515 2
0.2%
20190305 3
0.2%
20190213 1
 
0.1%
20180921 1
 
0.1%
20180917 1
 
0.1%
20180530 1
 
0.1%
20171229 1
 
0.1%
20171211 1
 
0.1%
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
3
631 
1
541 
4
66 
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 631
50.8%
1 541
43.5%
4 66
 
5.3%
2 5
 
0.4%

Length

2024-04-16T15:49:04.027275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:04.108357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 631
50.8%
1 541
43.5%
4 66
 
5.3%
2 5
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
폐업
631 
영업/정상
541 
취소/말소/만료/정지/중지
66 
휴업
 
5

Length

Max length14
Median length2
Mean length3.9428801
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 631
50.8%
영업/정상 541
43.5%
취소/말소/만료/정지/중지 66
 
5.3%
휴업 5
 
0.4%

Length

2024-04-16T15:49:04.200257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:04.290165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 631
50.8%
영업/정상 541
43.5%
취소/말소/만료/정지/중지 66
 
5.3%
휴업 5
 
0.4%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.840708
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:04.360227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q313
95-th percentile30
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.1748611
Coefficient of variation (CV)0.81157087
Kurtosis2.3189962
Mean8.840708
Median Absolute Deviation (MAD)0
Skewness1.4125651
Sum10989
Variance51.478631
MonotonicityNot monotonic
2024-04-16T15:49:04.438000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 631
50.8%
13 541
43.5%
31 45
 
3.6%
30 15
 
1.2%
2 5
 
0.4%
35 5
 
0.4%
33 1
 
0.1%
ValueCountFrequency (%)
2 5
 
0.4%
3 631
50.8%
13 541
43.5%
30 15
 
1.2%
31 45
 
3.6%
33 1
 
0.1%
35 5
 
0.4%
ValueCountFrequency (%)
35 5
 
0.4%
33 1
 
0.1%
31 45
 
3.6%
30 15
 
1.2%
13 541
43.5%
3 631
50.8%
2 5
 
0.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
폐업
631 
영업중
541 
등록취소
 
45
허가취소
 
15
휴업
 
5
Other values (2)
 
6

Length

Max length4
Median length2
Mean length2.541432
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 631
50.8%
영업중 541
43.5%
등록취소 45
 
3.6%
허가취소 15
 
1.2%
휴업 5
 
0.4%
직권말소 5
 
0.4%
지정취소 1
 
0.1%

Length

2024-04-16T15:49:04.543968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:04.639205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 631
50.8%
영업중 541
43.5%
등록취소 45
 
3.6%
허가취소 15
 
1.2%
휴업 5
 
0.4%
직권말소 5
 
0.4%
지정취소 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct568
Distinct (%)89.4%
Missing608
Missing (%)48.9%
Infinite0
Infinite (%)0.0%
Mean20120808
Minimum19971211
Maximum20211126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:04.770120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19971211
5-th percentile20010799
Q120070626
median20130326
Q320180362
95-th percentile20210441
Maximum20211126
Range239915
Interquartile range (IQR)109737

Descriptive statistics

Standard deviation62684.964
Coefficient of variation (CV)0.0031154298
Kurtosis-1.0503119
Mean20120808
Median Absolute Deviation (MAD)50501
Skewness-0.27777967
Sum1.2776713 × 1010
Variance3.9294047 × 109
MonotonicityNot monotonic
2024-04-16T15:49:04.873794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000111 9
 
0.7%
20001129 5
 
0.4%
20211112 4
 
0.3%
20190630 3
 
0.2%
20190709 3
 
0.2%
20150723 3
 
0.2%
20200825 2
 
0.2%
20120607 2
 
0.2%
20040524 2
 
0.2%
20171130 2
 
0.2%
Other values (558) 600
48.3%
(Missing) 608
48.9%
ValueCountFrequency (%)
19971211 1
 
0.1%
19990403 1
 
0.1%
19990408 1
 
0.1%
19990524 1
 
0.1%
19990622 1
 
0.1%
19990909 1
 
0.1%
19991104 1
 
0.1%
20000111 9
0.7%
20000128 1
 
0.1%
20000229 1
 
0.1%
ValueCountFrequency (%)
20211126 1
 
0.1%
20211124 1
 
0.1%
20211119 1
 
0.1%
20211118 1
 
0.1%
20211117 1
 
0.1%
20211116 2
0.2%
20211115 1
 
0.1%
20211112 4
0.3%
20211111 2
0.2%
20211110 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1238 
20210101
 
1
20201201
 
1
20200401
 
1
20130902
 
1

Length

Max length8
Median length4
Mean length4.0160901
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st row20210101
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1238
99.6%
20210101 1
 
0.1%
20201201 1
 
0.1%
20200401 1
 
0.1%
20130902 1
 
0.1%
20130510 1
 
0.1%

Length

2024-04-16T15:49:04.977393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:05.092218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1238
99.6%
20210101 1
 
0.1%
20201201 1
 
0.1%
20200401 1
 
0.1%
20130902 1
 
0.1%
20130510 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1238 
20211231
 
1
20221130
 
1
20210930
 
1
20140904
 
1

Length

Max length8
Median length4
Mean length4.0160901
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st row20211231
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1238
99.6%
20211231 1
 
0.1%
20221130 1
 
0.1%
20210930 1
 
0.1%
20140904 1
 
0.1%
20140509 1
 
0.1%

Length

2024-04-16T15:49:05.223924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:05.315840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1238
99.6%
20211231 1
 
0.1%
20221130 1
 
0.1%
20210930 1
 
0.1%
20140904 1
 
0.1%
20140509 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

소재지전화
Text

MISSING 

Distinct896
Distinct (%)96.7%
Missing316
Missing (%)25.4%
Memory size9.8 KiB
2024-04-16T15:49:05.531227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.642934
Min length1

Characters and Unicode

Total characters9866
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

Unique869 ?
Unique (%)93.7%

Sample

1st row051-469-7731
2nd row051241 0909
3rd row051-464-6464
4th row051-244-6318
5th row254-4061
ValueCountFrequency (%)
051 30
 
3.0%
5
 
0.5%
740-6353 3
 
0.3%
465-1800 2
 
0.2%
809 2
 
0.2%
261 2
 
0.2%
051-462-5525 2
 
0.2%
051-818-0034 2
 
0.2%
051-612-7788 2
 
0.2%
051-555-1780 2
 
0.2%
Other values (912) 932
94.7%
2024-04-16T15:49:05.864804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1559
15.8%
- 1420
14.4%
1 1324
13.4%
5 1297
13.1%
6 725
7.3%
8 713
7.2%
4 660
6.7%
2 626
6.3%
7 598
 
6.1%
3 486
 
4.9%
Other values (6) 458
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8360
84.7%
Dash Punctuation 1420
 
14.4%
Space Separator 57
 
0.6%
Close Punctuation 16
 
0.2%
Other Punctuation 9
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1559
18.6%
1 1324
15.8%
5 1297
15.5%
6 725
8.7%
8 713
8.5%
4 660
7.9%
2 626
7.5%
7 598
 
7.2%
3 486
 
5.8%
9 372
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 7
77.8%
, 2
 
22.2%
Dash Punctuation
ValueCountFrequency (%)
- 1420
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9866
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1559
15.8%
- 1420
14.4%
1 1324
13.4%
5 1297
13.1%
6 725
7.3%
8 713
7.2%
4 660
6.7%
2 626
6.3%
7 598
 
6.1%
3 486
 
4.9%
Other values (6) 458
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1559
15.8%
- 1420
14.4%
1 1324
13.4%
5 1297
13.1%
6 725
7.3%
8 713
7.2%
4 660
6.7%
2 626
6.3%
7 598
 
6.1%
3 486
 
4.9%
Other values (6) 458
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct306
Distinct (%)46.3%
Missing582
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean609823.75
Minimum600011
Maximum701814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:06.196236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600100
Q1604010
median611802
Q3614826
95-th percentile616852
Maximum701814
Range101803
Interquartile range (IQR)10816

Descriptive statistics

Standard deviation7787.5354
Coefficient of variation (CV)0.012770141
Kurtosis49.676253
Mean609823.75
Median Absolute Deviation (MAD)3053
Skewness4.6672345
Sum4.030935 × 108
Variance60645707
MonotonicityNot monotonic
2024-04-16T15:49:06.323395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600815 17
 
1.4%
614854 16
 
1.3%
614844 11
 
0.9%
614849 11
 
0.9%
601839 10
 
0.8%
612824 10
 
0.8%
607827 10
 
0.8%
601715 9
 
0.7%
614828 9
 
0.7%
601010 8
 
0.6%
Other values (296) 550
44.2%
(Missing) 582
46.8%
ValueCountFrequency (%)
600011 1
 
0.1%
600012 2
 
0.2%
600013 4
0.3%
600014 5
0.4%
600015 2
 
0.2%
600016 3
0.2%
600022 3
0.2%
600023 1
 
0.1%
600031 1
 
0.1%
600032 1
 
0.1%
ValueCountFrequency (%)
701814 1
0.1%
682818 1
0.1%
680828 1
0.1%
619952 1
0.1%
619906 1
0.1%
619905 1
0.1%
619903 1
0.1%
618814 1
0.1%
618708 1
0.1%
618200 1
0.1%
Distinct1164
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-04-16T15:49:06.590050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length25.86243
Min length12

Characters and Unicode

Total characters32147
Distinct characters387
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

Unique1109 ?
Unique (%)89.2%

Sample

1st row부산광역시 중구 중앙동4가 53-30
2nd row부산광역시 중구 남포동4가 44-3번지
3rd row부산광역시 중구 중앙동4가 15-3번지
4th row부산광역시 중구 신창동1가 17-2
5th row부산광역시 중구 남포동5가 39-6번지
ValueCountFrequency (%)
부산광역시 1240
 
20.0%
부산진구 267
 
4.3%
중구 144
 
2.3%
해운대구 137
 
2.2%
동구 131
 
2.1%
동래구 101
 
1.6%
연제구 98
 
1.6%
부전동 93
 
1.5%
초량동 91
 
1.5%
남구 72
 
1.2%
Other values (1787) 3815
61.6%
2024-04-16T15:49:06.971212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4946
 
15.4%
1679
 
5.2%
1632
 
5.1%
1 1611
 
5.0%
1586
 
4.9%
1283
 
4.0%
1275
 
4.0%
1257
 
3.9%
1249
 
3.9%
- 1094
 
3.4%
Other values (377) 14535
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18856
58.7%
Decimal Number 6901
 
21.5%
Space Separator 4946
 
15.4%
Dash Punctuation 1094
 
3.4%
Lowercase Letter 154
 
0.5%
Uppercase Letter 152
 
0.5%
Close Punctuation 16
 
< 0.1%
Open Punctuation 16
 
< 0.1%
Other Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1679
 
8.9%
1632
 
8.7%
1586
 
8.4%
1283
 
6.8%
1275
 
6.8%
1257
 
6.7%
1249
 
6.6%
722
 
3.8%
680
 
3.6%
374
 
2.0%
Other values (323) 7119
37.8%
Uppercase Letter
ValueCountFrequency (%)
S 34
22.4%
T 20
13.2%
C 14
9.2%
K 13
 
8.6%
A 11
 
7.2%
B 11
 
7.2%
E 7
 
4.6%
I 6
 
3.9%
O 6
 
3.9%
H 5
 
3.3%
Other values (10) 25
16.4%
Lowercase Letter
ValueCountFrequency (%)
e 33
21.4%
o 21
13.6%
l 12
 
7.8%
p 11
 
7.1%
i 11
 
7.1%
d 10
 
6.5%
m 10
 
6.5%
a 10
 
6.5%
x 10
 
6.5%
n 10
 
6.5%
Other values (7) 16
10.4%
Decimal Number
ValueCountFrequency (%)
1 1611
23.3%
2 951
13.8%
3 758
11.0%
4 685
9.9%
0 643
 
9.3%
5 507
 
7.3%
7 480
 
7.0%
8 476
 
6.9%
6 456
 
6.6%
9 334
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 7
58.3%
, 4
33.3%
@ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
4946
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1094
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18856
58.7%
Common 12985
40.4%
Latin 306
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1679
 
8.9%
1632
 
8.7%
1586
 
8.4%
1283
 
6.8%
1275
 
6.8%
1257
 
6.7%
1249
 
6.6%
722
 
3.8%
680
 
3.6%
374
 
2.0%
Other values (323) 7119
37.8%
Latin
ValueCountFrequency (%)
S 34
 
11.1%
e 33
 
10.8%
o 21
 
6.9%
T 20
 
6.5%
C 14
 
4.6%
K 13
 
4.2%
l 12
 
3.9%
p 11
 
3.6%
i 11
 
3.6%
A 11
 
3.6%
Other values (27) 126
41.2%
Common
ValueCountFrequency (%)
4946
38.1%
1 1611
 
12.4%
- 1094
 
8.4%
2 951
 
7.3%
3 758
 
5.8%
4 685
 
5.3%
0 643
 
5.0%
5 507
 
3.9%
7 480
 
3.7%
8 476
 
3.7%
Other values (7) 834
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18856
58.7%
ASCII 13291
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4946
37.2%
1 1611
 
12.1%
- 1094
 
8.2%
2 951
 
7.2%
3 758
 
5.7%
4 685
 
5.2%
0 643
 
4.8%
5 507
 
3.8%
7 480
 
3.6%
8 476
 
3.6%
Other values (44) 1140
 
8.6%
Hangul
ValueCountFrequency (%)
1679
 
8.9%
1632
 
8.7%
1586
 
8.4%
1283
 
6.8%
1275
 
6.8%
1257
 
6.7%
1249
 
6.6%
722
 
3.8%
680
 
3.6%
374
 
2.0%
Other values (323) 7119
37.8%

도로명전체주소
Text

MISSING 

Distinct1144
Distinct (%)96.4%
Missing56
Missing (%)4.5%
Memory size9.8 KiB
2024-04-16T15:49:07.260061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length33.564448
Min length21

Characters and Unicode

Total characters39841
Distinct characters420
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1108 ?
Unique (%)93.3%

Sample

1st row부산광역시 중구 중앙대로81번길 2 (중앙동4가)
2nd row부산광역시 중구 자갈치해안로 60 (남포동4가)
3rd row부산광역시 중구 충장대로 24, 부산항연안여객터미널 1층 (중앙동4가)
4th row부산광역시 중구 광복로49번길 19, 2층 (신창동1가)
5th row부산광역시 중구 중구로 2 (남포동5가)
ValueCountFrequency (%)
부산광역시 1185
 
15.8%
부산진구 250
 
3.3%
중앙대로 171
 
2.3%
중구 142
 
1.9%
해운대구 135
 
1.8%
2층 130
 
1.7%
동구 116
 
1.5%
동래구 98
 
1.3%
연제구 98
 
1.3%
남구 69
 
0.9%
Other values (1847) 5101
68.1%
2024-04-16T15:49:07.669012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6580
 
16.5%
1651
 
4.1%
1634
 
4.1%
1573
 
3.9%
1 1414
 
3.5%
1278
 
3.2%
1246
 
3.1%
, 1243
 
3.1%
1218
 
3.1%
1193
 
3.0%
Other values (410) 20811
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22874
57.4%
Space Separator 6580
 
16.5%
Decimal Number 6279
 
15.8%
Other Punctuation 1249
 
3.1%
Open Punctuation 1184
 
3.0%
Close Punctuation 1184
 
3.0%
Dash Punctuation 176
 
0.4%
Uppercase Letter 158
 
0.4%
Lowercase Letter 155
 
0.4%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1651
 
7.2%
1634
 
7.1%
1573
 
6.9%
1278
 
5.6%
1246
 
5.4%
1218
 
5.3%
1193
 
5.2%
1191
 
5.2%
796
 
3.5%
556
 
2.4%
Other values (356) 10538
46.1%
Uppercase Letter
ValueCountFrequency (%)
S 34
21.5%
T 18
11.4%
C 16
10.1%
K 14
8.9%
B 13
 
8.2%
A 13
 
8.2%
E 8
 
5.1%
I 6
 
3.8%
H 6
 
3.8%
O 5
 
3.2%
Other values (10) 25
15.8%
Lowercase Letter
ValueCountFrequency (%)
e 34
21.9%
o 21
13.5%
l 12
 
7.7%
i 11
 
7.1%
p 11
 
7.1%
x 10
 
6.5%
m 10
 
6.5%
a 10
 
6.5%
w 10
 
6.5%
d 10
 
6.5%
Other values (7) 16
10.3%
Decimal Number
ValueCountFrequency (%)
1 1414
22.5%
2 984
15.7%
3 779
12.4%
0 696
11.1%
4 517
 
8.2%
5 465
 
7.4%
6 413
 
6.6%
7 363
 
5.8%
8 336
 
5.4%
9 312
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1243
99.5%
/ 6
 
0.5%
Space Separator
ValueCountFrequency (%)
6580
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22874
57.4%
Common 16654
41.8%
Latin 313
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1651
 
7.2%
1634
 
7.1%
1573
 
6.9%
1278
 
5.6%
1246
 
5.4%
1218
 
5.3%
1193
 
5.2%
1191
 
5.2%
796
 
3.5%
556
 
2.4%
Other values (356) 10538
46.1%
Latin
ValueCountFrequency (%)
S 34
 
10.9%
e 34
 
10.9%
o 21
 
6.7%
T 18
 
5.8%
C 16
 
5.1%
K 14
 
4.5%
B 13
 
4.2%
A 13
 
4.2%
l 12
 
3.8%
i 11
 
3.5%
Other values (27) 127
40.6%
Common
ValueCountFrequency (%)
6580
39.5%
1 1414
 
8.5%
, 1243
 
7.5%
( 1184
 
7.1%
) 1184
 
7.1%
2 984
 
5.9%
3 779
 
4.7%
0 696
 
4.2%
4 517
 
3.1%
5 465
 
2.8%
Other values (7) 1608
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22874
57.4%
ASCII 16967
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6580
38.8%
1 1414
 
8.3%
, 1243
 
7.3%
( 1184
 
7.0%
) 1184
 
7.0%
2 984
 
5.8%
3 779
 
4.6%
0 696
 
4.1%
4 517
 
3.0%
5 465
 
2.7%
Other values (44) 1921
 
11.3%
Hangul
ValueCountFrequency (%)
1651
 
7.2%
1634
 
7.1%
1573
 
6.9%
1278
 
5.6%
1246
 
5.4%
1218
 
5.3%
1193
 
5.2%
1191
 
5.2%
796
 
3.5%
556
 
2.4%
Other values (356) 10538
46.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct471
Distinct (%)55.8%
Missing399
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean102620.69
Minimum46015
Maximum618142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:07.788280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46298.45
Q147257
median48090
Q348821.25
95-th percentile612050.85
Maximum618142
Range572127
Interquartile range (IQR)1564.25

Descriptive statistics

Standard deviation166970.53
Coefficient of variation (CV)1.627065
Kurtosis5.4423654
Mean102620.69
Median Absolute Deviation (MAD)832.5
Skewness2.7254862
Sum86611861
Variance2.7879158 × 1010
MonotonicityNot monotonic
2024-04-16T15:49:07.923368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47216 17
 
1.4%
49037 10
 
0.8%
47246 10
 
0.8%
48924 10
 
0.8%
48092 9
 
0.7%
48059 9
 
0.7%
47257 9
 
0.7%
48095 8
 
0.6%
48508 8
 
0.6%
47541 8
 
0.6%
Other values (461) 746
60.0%
(Missing) 399
32.1%
ValueCountFrequency (%)
46015 3
0.2%
46022 1
 
0.1%
46024 2
0.2%
46056 1
 
0.1%
46063 1
 
0.1%
46070 1
 
0.1%
46072 1
 
0.1%
46073 1
 
0.1%
46080 1
 
0.1%
46213 1
 
0.1%
ValueCountFrequency (%)
618142 1
0.1%
617825 1
0.1%
617816 1
0.1%
617814 1
0.1%
617809 2
0.2%
617807 1
0.1%
617802 1
0.1%
617723 1
0.1%
616852 1
0.1%
616829 1
0.1%
Distinct1199
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-04-16T15:49:08.143689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length8.1238938
Min length2

Characters and Unicode

Total characters10098
Distinct characters486
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1159 ?
Unique (%)93.2%

Sample

1st row(주)팔성국제관광
2nd row부산남항유람선 자갈치크루즈
3rd row(주)마린크루즈
4th row스타투어여행사
5th row(주)초이스관광여행사
ValueCountFrequency (%)
주식회사 88
 
5.9%
여행사 30
 
2.0%
투어 16
 
1.1%
15
 
1.0%
tour 6
 
0.4%
여행 6
 
0.4%
협동조합 5
 
0.3%
부산투어 5
 
0.3%
부산 3
 
0.2%
선경항공여행사 3
 
0.2%
Other values (1254) 1311
88.1%
2024-04-16T15:49:08.437243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
862
 
8.5%
( 767
 
7.6%
) 767
 
7.6%
507
 
5.0%
505
 
5.0%
500
 
5.0%
410
 
4.1%
403
 
4.0%
245
 
2.4%
178
 
1.8%
Other values (476) 4954
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8128
80.5%
Open Punctuation 767
 
7.6%
Close Punctuation 767
 
7.6%
Space Separator 245
 
2.4%
Uppercase Letter 116
 
1.1%
Lowercase Letter 34
 
0.3%
Other Punctuation 18
 
0.2%
Decimal Number 15
 
0.1%
Dash Punctuation 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
862
 
10.6%
507
 
6.2%
505
 
6.2%
500
 
6.2%
410
 
5.0%
403
 
5.0%
178
 
2.2%
174
 
2.1%
170
 
2.1%
170
 
2.1%
Other values (423) 4249
52.3%
Uppercase Letter
ValueCountFrequency (%)
T 24
20.7%
O 13
11.2%
B 7
 
6.0%
H 6
 
5.2%
U 6
 
5.2%
L 6
 
5.2%
R 6
 
5.2%
W 6
 
5.2%
G 5
 
4.3%
E 5
 
4.3%
Other values (11) 32
27.6%
Lowercase Letter
ValueCountFrequency (%)
r 6
17.6%
o 5
14.7%
u 3
8.8%
t 3
8.8%
s 2
 
5.9%
e 2
 
5.9%
a 2
 
5.9%
i 2
 
5.9%
v 1
 
2.9%
l 1
 
2.9%
Other values (7) 7
20.6%
Other Punctuation
ValueCountFrequency (%)
. 10
55.6%
& 5
27.8%
, 2
 
11.1%
: 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 7
46.7%
2 5
33.3%
8 2
 
13.3%
0 1
 
6.7%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 767
100.0%
Close Punctuation
ValueCountFrequency (%)
) 767
100.0%
Space Separator
ValueCountFrequency (%)
245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8129
80.5%
Common 1819
 
18.0%
Latin 150
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
862
 
10.6%
507
 
6.2%
505
 
6.2%
500
 
6.2%
410
 
5.0%
403
 
5.0%
178
 
2.2%
174
 
2.1%
170
 
2.1%
170
 
2.1%
Other values (424) 4250
52.3%
Latin
ValueCountFrequency (%)
T 24
 
16.0%
O 13
 
8.7%
B 7
 
4.7%
H 6
 
4.0%
U 6
 
4.0%
r 6
 
4.0%
L 6
 
4.0%
R 6
 
4.0%
W 6
 
4.0%
o 5
 
3.3%
Other values (28) 65
43.3%
Common
ValueCountFrequency (%)
( 767
42.2%
) 767
42.2%
245
 
13.5%
. 10
 
0.5%
1 7
 
0.4%
2 5
 
0.3%
- 5
 
0.3%
& 5
 
0.3%
8 2
 
0.1%
, 2
 
0.1%
Other values (4) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8124
80.5%
ASCII 1968
 
19.5%
Compat Jamo 4
 
< 0.1%
Arrows 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
862
 
10.6%
507
 
6.2%
505
 
6.2%
500
 
6.2%
410
 
5.0%
403
 
5.0%
178
 
2.2%
174
 
2.1%
170
 
2.1%
170
 
2.1%
Other values (420) 4245
52.3%
ASCII
ValueCountFrequency (%)
( 767
39.0%
) 767
39.0%
245
 
12.4%
T 24
 
1.2%
O 13
 
0.7%
. 10
 
0.5%
1 7
 
0.4%
B 7
 
0.4%
H 6
 
0.3%
U 6
 
0.3%
Other values (41) 116
 
5.9%
Compat Jamo
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Arrows
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct1213
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0161377 × 1013
Minimum2.0021018 × 1013
Maximum2.021113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:08.550849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0040615 × 1013
Q12.0120764 × 1013
median2.0190814 × 1013
Q32.0210411 × 1013
95-th percentile2.021111 × 1013
Maximum2.021113 × 1013
Range1.9011198 × 1011
Interquartile range (IQR)8.9646982 × 1010

Descriptive statistics

Standard deviation5.838081 × 1010
Coefficient of variation (CV)0.0028956757
Kurtosis-0.46407202
Mean2.0161377 × 1013
Median Absolute Deviation (MAD)2.010195 × 1010
Skewness-0.96152657
Sum2.5060592 × 1016
Variance3.408319 × 1021
MonotonicityNot monotonic
2024-04-16T15:49:08.684630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030127161421 17
 
1.4%
20030127161348 15
 
1.2%
20210926175002 1
 
0.1%
20150723091857 1
 
0.1%
20211117110008 1
 
0.1%
20190611103356 1
 
0.1%
20201014094421 1
 
0.1%
20190107143034 1
 
0.1%
20210209094038 1
 
0.1%
20140729132128 1
 
0.1%
Other values (1203) 1203
96.8%
ValueCountFrequency (%)
20021018131515 1
 
0.1%
20021217165012 1
 
0.1%
20030127161348 15
1.2%
20030127161421 17
1.4%
20030203150601 1
 
0.1%
20030312172512 1
 
0.1%
20030410112657 1
 
0.1%
20030422140401 1
 
0.1%
20030423092346 1
 
0.1%
20030516111251 1
 
0.1%
ValueCountFrequency (%)
20211130111625 1
0.1%
20211129151711 1
0.1%
20211129084814 1
0.1%
20211126164201 1
0.1%
20211125192121 1
0.1%
20211125191316 1
0.1%
20211125174329 1
0.1%
20211125121338 1
0.1%
20211125094116 1
0.1%
20211124170204 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
U
642 
I
601 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 642
51.6%
I 601
48.4%

Length

2024-04-16T15:49:08.824799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:08.901775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 642
51.6%
i 601
48.4%
Distinct365
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
Minimum2018-08-31 23:59:59
Maximum2021-12-02 02:40:00
2024-04-16T15:49:08.984868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T15:49:09.091009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct883
Distinct (%)73.3%
Missing38
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean388389.46
Minimum345960.71
Maximum419502.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:09.192206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum345960.71
5-th percentile380502.45
Q1385754.48
median388072.43
Q3390403.02
95-th percentile396962.54
Maximum419502.8
Range73542.098
Interquartile range (IQR)4648.5382

Descriptive statistics

Standard deviation4718.0659
Coefficient of variation (CV)0.01214777
Kurtosis7.5688225
Mean388389.46
Median Absolute Deviation (MAD)2317.9573
Skewness-0.28127141
Sum4.6800929 × 108
Variance22260146
MonotonicityNot monotonic
2024-04-16T15:49:09.296101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391411.212179843 16
 
1.3%
387225.613588405 13
 
1.0%
385507.640529964 11
 
0.9%
386093.674147239 10
 
0.8%
385754.477258744 10
 
0.8%
396180.621244719 7
 
0.6%
385502.492319657 7
 
0.6%
388922.806889486 7
 
0.6%
387052.317362645 6
 
0.5%
385630.742187332 6
 
0.5%
Other values (873) 1112
89.5%
(Missing) 38
 
3.1%
ValueCountFrequency (%)
345960.705739 1
0.1%
371478.346756395 1
0.1%
373016.981172454 1
0.1%
373099.680011291 1
0.1%
373350.085112146 1
0.1%
373506.567424228 1
0.1%
374028.336209222 1
0.1%
374032.128682044 1
0.1%
374333.199064 1
0.1%
374846.363500608 2
0.2%
ValueCountFrequency (%)
419502.803661768 1
0.1%
407681.822826568 1
0.1%
402013.567273627 1
0.1%
401991.877826951 1
0.1%
401723.13090266 1
0.1%
401654.448837686 1
0.1%
401510.613962736 1
0.1%
401502.415893064 1
0.1%
401448.811664877 1
0.1%
400815.753437419 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct883
Distinct (%)73.3%
Missing38
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean186451.77
Minimum174307.15
Maximum265785.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:09.403705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174307.15
5-th percentile179631.14
Q1182403.88
median186437.14
Q3189180.05
95-th percentile194713.19
Maximum265785.6
Range91478.456
Interquartile range (IQR)6776.1729

Descriptive statistics

Standard deviation5335.7268
Coefficient of variation (CV)0.028617196
Kurtosis42.527944
Mean186451.77
Median Absolute Deviation (MAD)3198.6782
Skewness3.3363754
Sum2.2467438 × 108
Variance28469980
MonotonicityNot monotonic
2024-04-16T15:49:09.505277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184052.409245407 16
 
1.3%
186408.726533861 13
 
1.0%
180548.792611588 11
 
0.9%
182068.358104572 10
 
0.8%
179113.980448494 10
 
0.8%
186522.35047527 7
 
0.6%
180297.579330876 7
 
0.6%
188106.837170815 7
 
0.6%
186253.143814124 6
 
0.5%
180306.821082315 6
 
0.5%
Other values (873) 1112
89.5%
(Missing) 38
 
3.1%
ValueCountFrequency (%)
174307.148168245 1
0.1%
174856.056137804 1
0.1%
175087.296427656 2
0.2%
176115.246760367 1
0.1%
176897.907425952 1
0.1%
177354.376036871 1
0.1%
177441.748341131 1
0.1%
177442.817428718 1
0.1%
177527.376138393 1
0.1%
177532.283470077 2
0.2%
ValueCountFrequency (%)
265785.603884 1
0.1%
226490.138380339 1
0.1%
205732.231316224 1
0.1%
204739.778227028 1
0.1%
204665.784677421 1
0.1%
204621.655738547 1
0.1%
204592.491613115 1
0.1%
204214.040987968 1
0.1%
204186.113952008 1
0.1%
199051.512822937 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
국내여행업
1243 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 1243
100.0%

Length

2024-04-16T15:49:09.598406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:09.674250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 1243
100.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
711 
관광사업
532 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 711
57.2%
관광사업 532
42.8%

Length

2024-04-16T15:49:09.751860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:09.843823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 711
57.2%
관광사업 532
42.8%

지역구분명
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1017 
일반주거지역
 
62
일반상업지역
 
41
상업지역
 
34
근린상업지역
 
31
Other values (9)
 
58

Length

Max length6
Median length4
Mean length4.2550282
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1017
81.8%
일반주거지역 62
 
5.0%
일반상업지역 41
 
3.3%
상업지역 34
 
2.7%
근린상업지역 31
 
2.5%
준주거지역 28
 
2.3%
주거지역 14
 
1.1%
준공업지역 7
 
0.6%
자연녹지지역 4
 
0.3%
녹지지역 1
 
0.1%
Other values (4) 4
 
0.3%

Length

2024-04-16T15:49:09.943944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1017
81.8%
일반주거지역 62
 
5.0%
일반상업지역 41
 
3.3%
상업지역 34
 
2.7%
근린상업지역 31
 
2.5%
준주거지역 28
 
2.3%
주거지역 14
 
1.1%
준공업지역 7
 
0.6%
자연녹지지역 4
 
0.3%
녹지지역 1
 
0.1%
Other values (4) 4
 
0.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)7.3%
Missing901
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean3.5204678
Minimum0
Maximum54
Zeros145
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:10.059742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile11.95
Maximum54
Range54
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.3816445
Coefficient of variation (CV)1.8127263
Kurtosis24.904899
Mean3.5204678
Median Absolute Deviation (MAD)2
Skewness4.3718525
Sum1204
Variance40.725386
MonotonicityNot monotonic
2024-04-16T15:49:10.156634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 145
 
11.7%
2 36
 
2.9%
4 34
 
2.7%
3 29
 
2.3%
5 21
 
1.7%
6 15
 
1.2%
1 14
 
1.1%
7 10
 
0.8%
8 7
 
0.6%
10 7
 
0.6%
Other values (15) 24
 
1.9%
(Missing) 901
72.5%
ValueCountFrequency (%)
0 145
11.7%
1 14
 
1.1%
2 36
 
2.9%
3 29
 
2.3%
4 34
 
2.7%
5 21
 
1.7%
6 15
 
1.2%
7 10
 
0.8%
8 7
 
0.6%
9 3
 
0.2%
ValueCountFrequency (%)
54 1
 
0.1%
50 1
 
0.1%
37 1
 
0.1%
33 1
 
0.1%
31 3
0.2%
27 1
 
0.1%
21 1
 
0.1%
20 1
 
0.1%
19 1
 
0.1%
15 1
 
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1085 
기타
 
85
학교정화(상대)
 
22
주택가주변
 
21
아파트지역
 
19
Other values (3)
 
11

Length

Max length8
Median length4
Mean length3.998391
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1085
87.3%
기타 85
 
6.8%
학교정화(상대) 22
 
1.8%
주택가주변 21
 
1.7%
아파트지역 19
 
1.5%
유흥업소밀집지역 5
 
0.4%
결혼예식장주변 4
 
0.3%
학교정화(절대) 2
 
0.2%

Length

2024-04-16T15:49:10.255370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:10.343098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1085
87.3%
기타 85
 
6.8%
학교정화(상대 22
 
1.8%
주택가주변 21
 
1.7%
아파트지역 19
 
1.5%
유흥업소밀집지역 5
 
0.4%
결혼예식장주변 4
 
0.3%
학교정화(절대 2
 
0.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

보험기관명
Categorical

Distinct30
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
450 
서울보증보험주식회사
262 
서울보증보험
229 
한국관광협회중앙회 여행공제회
83 
한국관광협회중앙회
63 
Other values (25)
156 

Length

Max length19
Median length16
Mean length7.1617056
Min length4

Unique

Unique14 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 450
36.2%
서울보증보험주식회사 262
21.1%
서울보증보험 229
18.4%
한국관광협회중앙회 여행공제회 83
 
6.7%
한국관광협회중앙회 63
 
5.1%
한국관광협회 58
 
4.7%
서울보증보험(주) 20
 
1.6%
부산광역시관광협회 17
 
1.4%
한국관광협회중앙회여행공제회 11
 
0.9%
관광공제회 8
 
0.6%
Other values (20) 42
 
3.4%

Length

2024-04-16T15:49:10.447768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 450
33.5%
서울보증보험주식회사 262
19.5%
서울보증보험 229
17.0%
한국관광협회중앙회 156
 
11.6%
여행공제회 84
 
6.2%
한국관광협회 59
 
4.4%
서울보증보험(주 20
 
1.5%
부산광역시관광협회 17
 
1.3%
관광공제회 16
 
1.2%
한국관광협회중앙회여행공제회 11
 
0.8%
Other values (19) 41
 
3.0%

건물용도명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1000 
근린생활시설
169 
사무실
 
54
교육연구시설
 
6
기타
 
5
Other values (6)
 
9

Length

Max length15
Median length4
Mean length4.2381335
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1000
80.5%
근린생활시설 169
 
13.6%
사무실 54
 
4.3%
교육연구시설 6
 
0.5%
기타 5
 
0.4%
아파트 3
 
0.2%
유통시설 2
 
0.2%
다가구용 주택(공동주택적용) 1
 
0.1%
콘도미니엄 1
 
0.1%
복지시설 1
 
0.1%

Length

2024-04-16T15:49:10.557944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1000
80.4%
근린생활시설 169
 
13.6%
사무실 54
 
4.3%
교육연구시설 6
 
0.5%
기타 5
 
0.4%
아파트 3
 
0.2%
유통시설 2
 
0.2%
다가구용 1
 
0.1%
주택(공동주택적용 1
 
0.1%
콘도미니엄 1
 
0.1%
Other values (2) 2
 
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)7.1%
Missing877
Missing (%)70.6%
Infinite0
Infinite (%)0.0%
Mean3.2896175
Minimum0
Maximum49
Zeros145
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:10.682476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile11.75
Maximum49
Range49
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.7236114
Coefficient of variation (CV)1.7399018
Kurtosis21.65117
Mean3.2896175
Median Absolute Deviation (MAD)2
Skewness4.0305024
Sum1204
Variance32.759728
MonotonicityNot monotonic
2024-04-16T15:49:10.783986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 145
 
11.7%
2 60
 
4.8%
3 39
 
3.1%
4 26
 
2.1%
5 23
 
1.9%
1 17
 
1.4%
6 10
 
0.8%
7 8
 
0.6%
9 8
 
0.6%
10 5
 
0.4%
Other values (16) 25
 
2.0%
(Missing) 877
70.6%
ValueCountFrequency (%)
0 145
11.7%
1 17
 
1.4%
2 60
4.8%
3 39
 
3.1%
4 26
 
2.1%
5 23
 
1.9%
6 10
 
0.8%
7 8
 
0.6%
8 4
 
0.3%
9 8
 
0.6%
ValueCountFrequency (%)
49 1
 
0.1%
43 1
 
0.1%
32 1
 
0.1%
29 1
 
0.1%
26 3
0.2%
24 1
 
0.1%
23 1
 
0.1%
22 1
 
0.1%
20 1
 
0.1%
17 1
 
0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.0%
Missing975
Missing (%)78.4%
Infinite0
Infinite (%)0.0%
Mean0.58955224
Minimum0
Maximum7
Zeros172
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:10.875562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.65
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1131673
Coefficient of variation (CV)1.8881571
Kurtosis10.1768
Mean0.58955224
Median Absolute Deviation (MAD)0
Skewness2.9488185
Sum158
Variance1.2391414
MonotonicityNot monotonic
2024-04-16T15:49:10.991665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 172
 
13.8%
1 69
 
5.6%
2 13
 
1.0%
5 6
 
0.5%
3 4
 
0.3%
4 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
(Missing) 975
78.4%
ValueCountFrequency (%)
0 172
13.8%
1 69
5.6%
2 13
 
1.0%
3 4
 
0.3%
4 2
 
0.2%
5 6
 
0.5%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
5 6
 
0.5%
4 2
 
0.2%
3 4
 
0.3%
2 13
 
1.0%
1 69
5.6%
0 172
13.8%

객실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1086 
0
157 

Length

Max length4
Median length4
Mean length3.621078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1086
87.4%
0 157
 
12.6%

Length

2024-04-16T15:49:11.161139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:11.284060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1086
87.4%
0 157
 
12.6%

건축연면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1086 
0
157 

Length

Max length4
Median length4
Mean length3.621078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1086
87.4%
0 157
 
12.6%

Length

2024-04-16T15:49:11.407438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:11.500179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1086
87.4%
0 157
 
12.6%

영문상호명
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing1214
Missing (%)97.7%
Memory size9.8 KiB
2024-04-16T15:49:11.639064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length25
Mean length20.172414
Min length7

Characters and Unicode

Total characters585
Distinct characters52
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowEMTCO Limited
2nd rowLeaders Tour
3rd rowSEOKWANG Travel
4th rowHANJU AIR TRAVEL CO.,LTD
5th rowWOOSUNG TRAVEL
ValueCountFrequency (%)
tour 13
 
13.0%
travel 9
 
9.0%
co 7
 
7.0%
ltd 7
 
7.0%
co.,ltd 5
 
5.0%
inc 4
 
4.0%
service 3
 
3.0%
agency 3
 
3.0%
busan 2
 
2.0%
co.ltd 2
 
2.0%
Other values (43) 45
45.0%
2024-04-16T15:49:12.152676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
12.1%
T 35
 
6.0%
O 29
 
5.0%
R 29
 
5.0%
E 28
 
4.8%
L 28
 
4.8%
. 23
 
3.9%
A 23
 
3.9%
C 22
 
3.8%
S 19
 
3.2%
Other values (42) 278
47.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 327
55.9%
Lowercase Letter 149
25.5%
Space Separator 71
 
12.1%
Other Punctuation 36
 
6.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 35
10.7%
O 29
 
8.9%
R 29
 
8.9%
E 28
 
8.6%
L 28
 
8.6%
A 23
 
7.0%
C 22
 
6.7%
S 19
 
5.8%
U 19
 
5.8%
I 15
 
4.6%
Other values (14) 80
24.5%
Lowercase Letter
ValueCountFrequency (%)
a 18
12.1%
n 16
10.7%
o 15
10.1%
e 15
10.1%
r 14
9.4%
t 11
 
7.4%
d 10
 
6.7%
c 9
 
6.0%
u 7
 
4.7%
l 6
 
4.0%
Other values (12) 28
18.8%
Other Punctuation
ValueCountFrequency (%)
. 23
63.9%
, 11
30.6%
& 2
 
5.6%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 476
81.4%
Common 109
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 35
 
7.4%
O 29
 
6.1%
R 29
 
6.1%
E 28
 
5.9%
L 28
 
5.9%
A 23
 
4.8%
C 22
 
4.6%
S 19
 
4.0%
U 19
 
4.0%
a 18
 
3.8%
Other values (36) 226
47.5%
Common
ValueCountFrequency (%)
71
65.1%
. 23
 
21.1%
, 11
 
10.1%
& 2
 
1.8%
) 1
 
0.9%
( 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 585
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
 
12.1%
T 35
 
6.0%
O 29
 
5.0%
R 29
 
5.0%
E 28
 
4.8%
L 28
 
4.8%
. 23
 
3.9%
A 23
 
3.9%
C 22
 
3.8%
S 19
 
3.2%
Other values (42) 278
47.5%

영문상호주소
Categorical

IMBALANCE 

Distinct13
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1214 
Domestic travel business
 
6
DOMESTIC TRAVEL BUSINESS
 
4
DOMESTIC TRAVEL AGENCY
 
3
Domestic Travel Agency
 
3
Other values (8)
 
13

Length

Max length30
Median length4
Mean length4.4521319
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1214
97.7%
Domestic travel business 6
 
0.5%
DOMESTIC TRAVEL BUSINESS 4
 
0.3%
DOMESTIC TRAVEL AGENCY 3
 
0.2%
Domestic Travel Agency 3
 
0.2%
Inland Travel Business 3
 
0.2%
Domestic Traval Agency 3
 
0.2%
WITHIN A COUNTRY TRAVEL AGENCY 2
 
0.2%
Domestic Travel Business 1
 
0.1%
Domestic Travel Industry 1
 
0.1%
Other values (3) 3
 
0.2%

Length

2024-04-16T15:49:12.261453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1214
93.1%
travel 26
 
2.0%
domestic 22
 
1.7%
business 15
 
1.2%
agency 12
 
0.9%
inland 3
 
0.2%
traval 3
 
0.2%
within 2
 
0.2%
a 2
 
0.2%
country 2
 
0.2%
Other values (3) 3
 
0.2%

선박총톤수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1086 
0
157 

Length

Max length4
Median length4
Mean length3.621078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1086
87.4%
0 157
 
12.6%

Length

2024-04-16T15:49:12.382150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:12.462396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1086
87.4%
0 157
 
12.6%

선박척수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1086 
0
157 

Length

Max length4
Median length4
Mean length3.621078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1086
87.4%
0 157
 
12.6%

Length

2024-04-16T15:49:12.543964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:12.619881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1086
87.4%
0 157
 
12.6%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1086 
0
157 

Length

Max length4
Median length4
Mean length3.621078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1086
87.4%
0 157
 
12.6%

Length

2024-04-16T15:49:12.700305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:12.780050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1086
87.4%
0 157
 
12.6%

좌석수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1086 
0
157 

Length

Max length4
Median length4
Mean length3.621078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1086
87.4%
0 157
 
12.6%

Length

2024-04-16T15:49:12.873855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:12.974650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1086
87.4%
0 157
 
12.6%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1086 
0
157 

Length

Max length4
Median length4
Mean length3.621078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1086
87.4%
0 157
 
12.6%

Length

2024-04-16T15:49:13.075467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:13.176761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1086
87.4%
0 157
 
12.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct223
Distinct (%)53.3%
Missing825
Missing (%)66.4%
Infinite0
Infinite (%)0.0%
Mean221.9677
Minimum0
Maximum43511
Zeros136
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:13.288064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median33
Q366.685
95-th percentile182.827
Maximum43511
Range43511
Interquartile range (IQR)66.685

Descriptive statistics

Standard deviation2327.3464
Coefficient of variation (CV)10.485068
Kurtosis297.64363
Mean221.9677
Median Absolute Deviation (MAD)33
Skewness16.710839
Sum92782.5
Variance5416541.2
MonotonicityNot monotonic
2024-04-16T15:49:13.424419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 136
 
10.9%
33.0 12
 
1.0%
30.0 7
 
0.6%
50.0 6
 
0.5%
66.0 6
 
0.5%
20.0 5
 
0.4%
198.0 3
 
0.2%
12.0 3
 
0.2%
49.5 3
 
0.2%
25.0 3
 
0.2%
Other values (213) 234
 
18.8%
(Missing) 825
66.4%
ValueCountFrequency (%)
0.0 136
10.9%
2.58 1
 
0.1%
4.05 1
 
0.1%
6.0 1
 
0.1%
6.6 1
 
0.1%
6.71 1
 
0.1%
8.0 1
 
0.1%
8.4 1
 
0.1%
10.0 1
 
0.1%
12.0 3
 
0.2%
ValueCountFrequency (%)
43511.0 1
0.1%
18592.0 1
0.1%
3920.67 1
0.1%
3480.76 1
0.1%
2988.0 1
0.1%
1022.9 1
0.1%
1013.0 1
0.1%
268.5 1
0.1%
258.15 1
0.1%
243.34 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1086 
0
157 

Length

Max length4
Median length4
Mean length3.621078
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1086
87.4%
0 157
 
12.6%

Length

2024-04-16T15:49:13.526817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:13.602564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1086
87.4%
0 157
 
12.6%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1242 
20200205
 
1

Length

Max length8
Median length4
Mean length4.003218
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1242
99.9%
20200205 1
 
0.1%

Length

2024-04-16T15:49:13.686924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:13.768105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1242
99.9%
20200205 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1242 
20210204
 
1

Length

Max length8
Median length4
Mean length4.003218
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1242
99.9%
20210204 1
 
0.1%

Length

2024-04-16T15:49:13.851752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:49:13.940246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1242
99.9%
20210204 1
 
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct141
Distinct (%)16.6%
Missing395
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean83247974
Minimum0
Maximum6.5122084 × 109
Zeros37
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:14.024853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3000000
Q130000000
median50000000
Q31 × 108
95-th percentile1.5 × 108
Maximum6.5122084 × 109
Range6.5122084 × 109
Interquartile range (IQR)70000000

Descriptive statistics

Standard deviation2.6231672 × 108
Coefficient of variation (CV)3.1510283
Kurtosis460.58794
Mean83247974
Median Absolute Deviation (MAD)30000000
Skewness20.165629
Sum7.0594282 × 1010
Variance6.8810064 × 1016
MonotonicityNot monotonic
2024-04-16T15:49:14.135230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 192
15.4%
30000000 108
 
8.7%
150000000 103
 
8.3%
100000000 72
 
5.8%
15000000 60
 
4.8%
90000000 53
 
4.3%
0 37
 
3.0%
45000000 21
 
1.7%
60000000 16
 
1.3%
20000000 16
 
1.3%
Other values (131) 170
13.7%
(Missing) 395
31.8%
ValueCountFrequency (%)
0 37
3.0%
5000 1
 
0.1%
5300 1
 
0.1%
30000 1
 
0.1%
1500000 1
 
0.1%
1750000 1
 
0.1%
3000000 4
 
0.3%
5000000 1
 
0.1%
10000000 2
 
0.2%
15000000 60
4.8%
ValueCountFrequency (%)
6512208375 1
 
0.1%
3500000000 1
 
0.1%
1000000000 1
 
0.1%
950000000 1
 
0.1%
505000000 1
 
0.1%
500000000 5
0.4%
490000000 1
 
0.1%
375256000 1
 
0.1%
300000000 3
0.2%
281323648 1
 
0.1%

보험시작일자
Real number (ℝ)

MISSING 

Distinct646
Distinct (%)78.4%
Missing419
Missing (%)33.7%
Infinite0
Infinite (%)0.0%
Mean20186019
Minimum20021021
Maximum20211117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:14.260428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021021
5-th percentile20110830
Q120171214
median20200563
Q320210221
95-th percentile20210819
Maximum20211117
Range190096
Interquartile range (IQR)39006.75

Descriptive statistics

Standard deviation32016.515
Coefficient of variation (CV)0.0015860737
Kurtosis4.0421721
Mean20186019
Median Absolute Deviation (MAD)9949
Skewness-1.924399
Sum1.663328 × 1010
Variance1.0250572 × 109
MonotonicityNot monotonic
2024-04-16T15:49:14.370891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210401 8
 
0.6%
20210201 6
 
0.5%
20201201 5
 
0.4%
20200625 5
 
0.4%
20210325 5
 
0.4%
20210101 5
 
0.4%
20200723 4
 
0.3%
20210323 4
 
0.3%
20200826 4
 
0.3%
20210113 4
 
0.3%
Other values (636) 774
62.3%
(Missing) 419
33.7%
ValueCountFrequency (%)
20021021 1
0.1%
20030812 1
0.1%
20030925 1
0.1%
20040420 1
0.1%
20051201 1
0.1%
20070111 1
0.1%
20070601 1
0.1%
20070802 1
0.1%
20071116 1
0.1%
20080303 1
0.1%
ValueCountFrequency (%)
20211117 3
0.2%
20211113 1
 
0.1%
20211111 1
 
0.1%
20211105 1
 
0.1%
20211028 1
 
0.1%
20211026 1
 
0.1%
20211025 1
 
0.1%
20211024 2
0.2%
20211014 1
 
0.1%
20211008 1
 
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct640
Distinct (%)77.6%
Missing418
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean20198599
Minimum20031021
Maximum21210810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:14.486423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031021
5-th percentile20121039
Q120190108
median20210609
Q320220224
95-th percentile20220826
Maximum21210810
Range1179789
Interquartile range (IQR)30116

Descriptive statistics

Standard deviation59244.595
Coefficient of variation (CV)0.0029331042
Kurtosis205.92506
Mean20198599
Median Absolute Deviation (MAD)9913
Skewness11.798409
Sum1.6663844 × 1010
Variance3.5099221 × 109
MonotonicityNot monotonic
2024-04-16T15:49:14.606307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220331 7
 
0.6%
20211130 6
 
0.5%
20211231 6
 
0.5%
20220131 5
 
0.4%
20220322 4
 
0.3%
20220223 4
 
0.3%
20210630 4
 
0.3%
20200704 4
 
0.3%
20220228 4
 
0.3%
20210624 4
 
0.3%
Other values (630) 777
62.5%
(Missing) 418
33.6%
ValueCountFrequency (%)
20031021 1
0.1%
20040812 1
0.1%
20040925 1
0.1%
20050420 1
0.1%
20061201 1
0.1%
20080111 1
0.1%
20080601 1
0.1%
20080802 1
0.1%
20081115 1
0.1%
20090704 1
0.1%
ValueCountFrequency (%)
21210810 1
0.1%
21210714 1
0.1%
20240301 1
0.1%
20230321 1
0.1%
20221117 1
0.1%
20221116 2
0.2%
20221113 1
0.1%
20221111 1
0.1%
20221110 1
0.1%
20221105 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct130
Distinct (%)31.1%
Missing825
Missing (%)66.4%
Infinite0
Infinite (%)0.0%
Mean221.98325
Minimum0
Maximum43511
Zeros136
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-04-16T15:49:14.726920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median33
Q366.75
95-th percentile183.3
Maximum43511
Range43511
Interquartile range (IQR)66.75

Descriptive statistics

Standard deviation2327.3474
Coefficient of variation (CV)10.484338
Kurtosis297.64265
Mean221.98325
Median Absolute Deviation (MAD)33
Skewness16.7108
Sum92789
Variance5416546.1
MonotonicityNot monotonic
2024-04-16T15:49:14.831869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 136
 
10.9%
33 16
 
1.3%
50 11
 
0.9%
20 9
 
0.7%
30 9
 
0.7%
66 8
 
0.6%
40 7
 
0.6%
15 6
 
0.5%
32 5
 
0.4%
42 5
 
0.4%
Other values (120) 206
 
16.6%
(Missing) 825
66.4%
ValueCountFrequency (%)
0 136
10.9%
3 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
7 2
 
0.2%
8 2
 
0.2%
10 1
 
0.1%
12 3
 
0.2%
13 2
 
0.2%
15 6
 
0.5%
ValueCountFrequency (%)
43511 1
0.1%
18592 1
0.1%
3921 1
0.1%
3481 1
0.1%
2988 1
0.1%
1023 1
0.1%
1013 1
0.1%
269 1
0.1%
258 1
0.1%
243 1
0.1%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1243
Missing (%)100.0%
Memory size11.1 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01국내여행업03_12_01_P3250000CDFI226001200700001320071109<NA>2휴업2휴업<NA>2021010120211231<NA>051-469-7731<NA>600815부산광역시 중구 중앙동4가 53-30부산광역시 중구 중앙대로81번길 2 (중앙동4가)<NA>(주)팔성국제관광20210926175002U2021-09-28 02:40:00.0<NA>385556.341486180343.213568국내여행업관광사업<NA>0<NA><NA>서울보증보험<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>1500000002018110920191108<NA>0<NA>
12국내여행업03_12_01_P3250000CDFI226001201900000220190110<NA>3폐업3폐업20200106<NA><NA><NA>051241 0909<NA><NA>부산광역시 중구 남포동4가 44-3번지부산광역시 중구 자갈치해안로 60 (남포동4가)48984부산남항유람선 자갈치크루즈20200106150326U2020-01-08 02:40:00.0<NA>385191.013393179401.283402국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>162433582019011420200113<NA><NA><NA>
23국내여행업03_12_01_P3250000CDFI226001201900000620190829<NA>3폐업3폐업20190924<NA><NA><NA>051-464-6464<NA><NA>부산광역시 중구 중앙동4가 15-3번지부산광역시 중구 충장대로 24, 부산항연안여객터미널 1층 (중앙동4가)48940(주)마린크루즈20190924165841U2019-09-26 02:40:00.0<NA>386032.236799180263.270671국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15000000<NA><NA><NA><NA><NA>
34국내여행업03_12_01_P3250000CDFI226001201600000320160218<NA>3폐업3폐업20211109<NA><NA><NA>051-244-6318<NA><NA>부산광역시 중구 신창동1가 17-2부산광역시 중구 광복로49번길 19, 2층 (신창동1가)48947스타투어여행사20211110101705U2021-11-12 02:40:00.0<NA>385057.531775179860.881541국내여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1090000002021022220220221<NA><NA><NA>
45국내여행업03_12_01_P3250000CDFI226001199700000619970421<NA>3폐업3폐업20060704<NA><NA><NA>254-4061<NA>600045부산광역시 중구 남포동5가 39-6번지부산광역시 중구 중구로 2 (남포동5가)<NA>(주)초이스관광여행사20060704162946I2018-08-31 23:59:59.0<NA>384877.272224179536.794609국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56국내여행업03_12_01_P3250000CDFI226001199400000119940929<NA>3폐업3폐업20200317<NA><NA><NA>246-1003<NA>600046부산광역시 중구 남포동6가 113-1번지부산광역시 중구 구덕로 87-1 (남포동6가)<NA>(주)미래투어20200317173318U2020-03-19 02:40:00.0<NA>384708.848958179404.943227국내여행업관광사업<NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2018100820191017<NA><NA><NA>
67국내여행업03_12_01_P3250000CDFI226001199700000719970801<NA>3폐업3폐업20060517<NA><NA><NA>442-5020<NA>600815부산광역시 중구 중앙동4가 37-16번지 동아제일빌딩 903호부산광역시 중구 중앙대로81번길 9, 903호 (중앙동4가,동아제일빌딩)<NA>(주)세진여행사20060517165132I2018-08-31 23:59:59.0<NA>385473.57641180297.978229국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78국내여행업03_12_01_P3250000CDFI226001199800000119980202<NA>3폐업3폐업20090129<NA><NA><NA>462-6661<NA>600814부산광역시 중구 중앙동4가 89-1번지부산광역시 중구 중앙대로 94 (중앙동4가)<NA>(주)아주좋은여행사20090129180902I2018-08-31 23:59:59.0<NA>385624.46871180447.914514국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89국내여행업03_12_01_P3250000CDFI226001200000000820001024<NA>3폐업3폐업20200318<NA><NA><NA>247-1122<NA><NA>부산광역시 중구 부평동2가 68-4번지부산광역시 중구 흑교로 18 (부평동2가)48977(주)뉴태평양여행사20200318155253U2020-03-20 02:40:00.0<NA>384598.903965179879.997495국내여행업관광사업<NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019062520200625<NA><NA><NA>
910국내여행업03_12_01_P3250000CDFI226001200700001120071018<NA>3폐업3폐업20071101<NA><NA><NA>463-5585<NA>600811부산광역시 중구 영주동 31-13번지부산광역시 중구 대영로 245 (영주동)<NA>해정여행사20071101133817I2018-08-31 23:59:59.0<NA>385692.204059181148.902569국내여행업관광사업<NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
12331234국내여행업03_12_01_P3400000CDFI226001201600000120150330<NA>3폐업3폐업20191007<NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 대라리 147번지부산광역시 기장군 기장읍 대청로36번길 51-546073(주)가온누리씨엔에스20191007130257U2019-10-09 02:40:00.0<NA>401510.613963195172.281033국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>493251232017080820180807<NA><NA><NA>
12341235국내여행업03_12_01_P3400000CDFI226001201600000220151118<NA>3폐업3폐업20161206<NA><NA><NA>051.746.4232<NA><NA>부산광역시 기장군 기장읍 청강리 114-1번지 405호부산광역시 기장군 기장읍 기장대로 482-5 (비룡 벨로스텔라)46080(주)동부산여행사20161206140106I2018-08-31 23:59:59.0<NA>402013.567274195503.641715국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2016072820170727<NA><NA><NA>
12351236국내여행업03_12_01_P3400000CDFI226001201900000220190115<NA>3폐업3폐업20200421<NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 달산리 1024-11번지 205호부산광역시 기장군 정관읍 달산1길 37-1, 205호46024원여행사20200421195654U2020-04-23 02:40:00.0<NA>398367.581911204186.113952국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019112520201124<NA><NA><NA>
12361237국내여행업03_12_01_P3400000CDFI226001200200000320021028<NA>1영업/정상13영업중<NA><NA><NA><NA>051-724-5830<NA>619905부산광역시 기장군 기장읍 동부리 374-17부산광역시 기장군 기장읍 차성동로 116, 2층46063(주)나이스투어20210518094848U2021-05-20 02:40:00.0<NA>401723.130903196575.034392국내여행업관광사업상업지역1<NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13.09<NA><NA><NA><NA><NA><NA><NA><NA>1500000002021012420220123<NA>13<NA>
12371238국내여행업03_12_01_P3400000CDFI226001201100000120111020<NA>1영업/정상13영업중<NA><NA><NA><NA>051-728-0903<NA><NA>부산광역시 기장군 정관읍 매학리 717-8부산광역시 기장군 정관읍 정관7로 34 (서진프라자)46015주식회사 유민여행사20210603155203U2021-06-05 02:40:00.0<NA>398043.112671204665.784677국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12.0<NA><NA><NA><NA><NA><NA><NA><NA>300000002021060120220531<NA>12<NA>
12381239국내여행업03_12_01_P3400000CDFI226001202000000120200511<NA>1영업/정상13영업중<NA><NA><NA><NA>051-243-4972<NA><NA>부산광역시 기장군 정관읍 매학리 717-3부산광역시 기장군 정관읍 정관로 583, 503호46015킴스트래블20210928153742U2021-09-30 02:40:00.0<NA>397967.170797204592.491613국내여행업<NA><NA>0<NA><NA>서울보증보험주식회사<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>150000002021073120220730<NA>0<NA>
12391240국내여행업03_12_01_P3400000CDFI226001202000000220191114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 방곡리 260 창성영양탕부산광역시 기장군 정관읍 정관덕산길 32-146022대박여행사20210521111323U2021-05-23 02:40:00.0<NA>398474.668503204739.778227국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000002020111220211111<NA><NA><NA>
12401241국내여행업03_12_01_P3400000CDFI226001202100000120210603<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 매학리 717-6부산광역시 기장군 정관읍 정관중앙로 45, 2층 205호46015비와이컴퍼니20210702152700U2021-07-04 02:40:00.0<NA>398024.244822204621.655739국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000002021060320220602<NA><NA><NA>
12411242국내여행업03_12_01_P3400000CDFI226001202000000320180517<NA>1영업/정상13영업중<NA><NA><NA><NA>051-611-7979<NA><NA>부산광역시 기장군 기장읍 청강리 111-8부산광역시 기장군 기장읍 기장대로 495, 2301호46072주식회사 여행나무20210521111118U2021-05-23 02:40:00.0<NA>401991.877827195612.16367국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>62.95<NA><NA><NA><NA><NA><NA><NA><NA>150000002021051820220517<NA>63<NA>
12421243국내여행업03_12_01_P3400000CDFI226001202000000420201026<NA>1영업/정상13영업중<NA><NA><NA><NA>051-721-4331<NA><NA>부산광역시 기장군 기장읍 동부리 394-6 부산공인중개사부산광역시 기장군 기장읍 반송로 160146056다된다투어20211116151238U2021-11-18 02:40:00.0<NA>401448.811665196699.414958국내여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>500000002021102820221027<NA>0<NA>