Overview

Dataset statistics

Number of variables65
Number of observations253
Missing cells7807
Missing cells (%)47.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory139.7 KiB
Average record size in memory565.5 B

Variable types

Numeric19
Categorical16
Text8
Unsupported21
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123064

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (95.3%)Imbalance
보험시작일자 is highly imbalanced (95.3%)Imbalance
보험종료일자 is highly imbalanced (95.3%)Imbalance
폐업일자 has 195 (77.1%) missing valuesMissing
휴업시작일자 has 246 (97.2%) missing valuesMissing
휴업종료일자 has 246 (97.2%) missing valuesMissing
재개업일자 has 253 (100.0%) missing valuesMissing
소재지전화 has 82 (32.4%) missing valuesMissing
소재지면적 has 253 (100.0%) missing valuesMissing
소재지우편번호 has 163 (64.4%) missing valuesMissing
도로명우편번호 has 39 (15.4%) missing valuesMissing
업태구분명 has 253 (100.0%) missing valuesMissing
좌표정보(x) has 4 (1.6%) missing valuesMissing
좌표정보(y) has 4 (1.6%) missing valuesMissing
총층수 has 95 (37.5%) missing valuesMissing
제작취급품목내용 has 253 (100.0%) missing valuesMissing
보험기관명 has 228 (90.1%) missing valuesMissing
지상층수 has 98 (38.7%) missing valuesMissing
지하층수 has 131 (51.8%) missing valuesMissing
객실수 has 53 (20.9%) missing valuesMissing
건축연면적 has 169 (66.8%) missing valuesMissing
영문상호명 has 220 (87.0%) missing valuesMissing
영문상호주소 has 222 (87.7%) missing valuesMissing
선박총톤수 has 253 (100.0%) missing valuesMissing
선박척수 has 253 (100.0%) missing valuesMissing
선박제원 has 253 (100.0%) missing valuesMissing
무대면적 has 253 (100.0%) missing valuesMissing
좌석수 has 253 (100.0%) missing valuesMissing
기념품종류 has 253 (100.0%) missing valuesMissing
회의실별동시수용인원 has 253 (100.0%) missing valuesMissing
시설면적 has 67 (26.5%) missing valuesMissing
놀이기구수내역 has 253 (100.0%) missing valuesMissing
놀이시설수 has 253 (100.0%) missing valuesMissing
방송시설유무 has 253 (100.0%) missing valuesMissing
발전시설유무 has 253 (100.0%) missing valuesMissing
의무실유무 has 253 (100.0%) missing valuesMissing
안내소유무 has 253 (100.0%) missing valuesMissing
기획여행보험시작일자 has 253 (100.0%) missing valuesMissing
기획여행보험종료일자 has 253 (100.0%) missing valuesMissing
자본금 has 163 (64.4%) missing valuesMissing
부대시설내역 has 253 (100.0%) missing valuesMissing
시설규모 has 67 (26.5%) missing valuesMissing
Unnamed: 64 has 253 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 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
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 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
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 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
회의실별동시수용인원 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
놀이시설수 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
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 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: 64 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 has 7 (2.8%) zerosZeros

Reproduction

Analysis started2024-04-21 20:24:06.063054
Analysis finished2024-04-21 20:24:07.445315
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127
Minimum1
Maximum253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:07.641986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.6
Q164
median127
Q3190
95-th percentile240.4
Maximum253
Range252
Interquartile range (IQR)126

Descriptive statistics

Standard deviation73.179004
Coefficient of variation (CV)0.57621263
Kurtosis-1.2
Mean127
Median Absolute Deviation (MAD)63
Skewness0
Sum32131
Variance5355.1667
MonotonicityStrictly increasing
2024-04-22T05:24:08.087327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
175 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
Other values (243) 243
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
관광숙박업
253 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광숙박업 253
100.0%

Length

2024-04-22T05:24:08.493778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:08.786144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 253
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
03_11_01_P
253 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_11_01_P
2nd row03_11_01_P
3rd row03_11_01_P
4th row03_11_01_P
5th row03_11_01_P

Common Values

ValueCountFrequency (%)
03_11_01_P 253
100.0%

Length

2024-04-22T05:24:09.090452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:09.382733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_01_p 253
100.0%

개방자치단체코드
Real number (ℝ)

Distinct15
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3333794.5
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:09.661939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13300000
median3330000
Q33380000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation44228.722
Coefficient of variation (CV)0.013266781
Kurtosis-0.93310904
Mean3333794.5
Median Absolute Deviation (MAD)40000
Skewness-0.37573545
Sum8.4345 × 108
Variance1.9561798 × 109
MonotonicityNot monotonic
2024-04-22T05:24:10.042985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3330000 79
31.2%
3380000 71
28.1%
3290000 19
 
7.5%
3250000 18
 
7.1%
3270000 15
 
5.9%
3400000 10
 
4.0%
3370000 8
 
3.2%
3300000 7
 
2.8%
3340000 6
 
2.4%
3260000 6
 
2.4%
Other values (5) 14
 
5.5%
ValueCountFrequency (%)
3250000 18
 
7.1%
3260000 6
 
2.4%
3270000 15
 
5.9%
3280000 2
 
0.8%
3290000 19
 
7.5%
3300000 7
 
2.8%
3310000 3
 
1.2%
3320000 4
 
1.6%
3330000 79
31.2%
3340000 6
 
2.4%
ValueCountFrequency (%)
3400000 10
 
4.0%
3390000 4
 
1.6%
3380000 71
28.1%
3370000 8
 
3.2%
3350000 1
 
0.4%
3340000 6
 
2.4%
3330000 79
31.2%
3320000 4
 
1.6%
3310000 3
 
1.2%
3300000 7
 
2.8%
Distinct125
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-22T05:24:10.840046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5060
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

Unique57 ?
Unique (%)22.5%

Sample

1st rowCDFI2260032015000004
2nd rowCDFI2260031987000001
3rd rowCDFI2260032014000004
4th rowCDFI2260032014000002
5th rowCDFI2260032017000007
ValueCountFrequency (%)
cdfi2260032017000001 9
 
3.6%
cdfi2260032020000001 8
 
3.2%
cdfi2260032016000001 7
 
2.8%
cdfi2260032018000001 6
 
2.4%
cdfi2260032019000001 5
 
2.0%
cdfi2260032016000002 5
 
2.0%
cdfi2260032017000002 5
 
2.0%
cdfi2260031987000001 5
 
2.0%
cdfi2260032014000001 5
 
2.0%
cdfi2260032015000001 5
 
2.0%
Other values (115) 193
76.3%
2024-04-22T05:24:11.739451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2033
40.2%
2 801
 
15.8%
1 330
 
6.5%
6 297
 
5.9%
3 283
 
5.6%
C 253
 
5.0%
D 253
 
5.0%
F 253
 
5.0%
I 253
 
5.0%
9 91
 
1.8%
Other values (4) 213
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4048
80.0%
Uppercase Letter 1012
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2033
50.2%
2 801
 
19.8%
1 330
 
8.2%
6 297
 
7.3%
3 283
 
7.0%
9 91
 
2.2%
7 70
 
1.7%
8 59
 
1.5%
5 44
 
1.1%
4 40
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 253
25.0%
D 253
25.0%
F 253
25.0%
I 253
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4048
80.0%
Latin 1012
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2033
50.2%
2 801
 
19.8%
1 330
 
8.2%
6 297
 
7.3%
3 283
 
7.0%
9 91
 
2.2%
7 70
 
1.7%
8 59
 
1.5%
5 44
 
1.1%
4 40
 
1.0%
Latin
ValueCountFrequency (%)
C 253
25.0%
D 253
25.0%
F 253
25.0%
I 253
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2033
40.2%
2 801
 
15.8%
1 330
 
6.5%
6 297
 
5.9%
3 283
 
5.6%
C 253
 
5.0%
D 253
 
5.0%
F 253
 
5.0%
I 253
 
5.0%
9 91
 
1.8%
Other values (4) 213
 
4.2%

인허가일자
Real number (ℝ)

Distinct242
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20105173
Minimum19630422
Maximum20210208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:11.988163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19630422
5-th percentile19852991
Q120070806
median20160513
Q320180227
95-th percentile20200762
Maximum20210208
Range579786
Interquartile range (IQR)109421

Descriptive statistics

Standard deviation119665.09
Coefficient of variation (CV)0.0059519553
Kurtosis1.9946852
Mean20105173
Median Absolute Deviation (MAD)29616
Skewness-1.6807215
Sum5.0866087 × 109
Variance1.4319734 × 1010
MonotonicityNot monotonic
2024-04-22T05:24:12.233454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201015 2
 
0.8%
20171220 2
 
0.8%
20200928 2
 
0.8%
20181109 2
 
0.8%
20170616 2
 
0.8%
20090619 2
 
0.8%
20161125 2
 
0.8%
20171016 2
 
0.8%
20161230 2
 
0.8%
20200727 2
 
0.8%
Other values (232) 233
92.1%
ValueCountFrequency (%)
19630422 1
0.4%
19720101 1
0.4%
19740613 1
0.4%
19740907 1
0.4%
19750819 1
0.4%
19761204 1
0.4%
19770425 1
0.4%
19780425 1
0.4%
19780515 1
0.4%
19811121 1
0.4%
ValueCountFrequency (%)
20210208 1
0.4%
20210205 1
0.4%
20201105 1
0.4%
20201015 2
0.8%
20201006 1
0.4%
20200928 2
0.8%
20200922 1
0.4%
20200907 1
0.4%
20200827 1
0.4%
20200821 1
0.4%

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
251 
20180827
 
1
20190220
 
1

Length

Max length8
Median length4
Mean length4.0316206
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row20180827
2nd row20190220
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 251
99.2%
20180827 1
 
0.4%
20190220 1
 
0.4%

Length

2024-04-22T05:24:12.744633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:12.934155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 251
99.2%
20180827 1
 
0.4%
20190220 1
 
0.4%
Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
185 
3
59 
2
 
7
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 185
73.1%
3 59
 
23.3%
2 7
 
2.8%
4 2
 
0.8%

Length

2024-04-22T05:24:13.107955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:13.281332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 185
73.1%
3 59
 
23.3%
2 7
 
2.8%
4 2
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
185 
폐업
59 
휴업
 
7
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.2885375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 185
73.1%
폐업 59
 
23.3%
휴업 7
 
2.8%
취소/말소/만료/정지/중지 2
 
0.8%

Length

2024-04-22T05:24:13.476409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:13.660571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 185
73.1%
폐업 59
 
23.3%
휴업 7
 
2.8%
취소/말소/만료/정지/중지 2
 
0.8%
Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
185 
3
59 
2
 
7
31
 
2

Length

Max length2
Median length2
Mean length1.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row31
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 185
73.1%
3 59
 
23.3%
2 7
 
2.8%
31 2
 
0.8%

Length

2024-04-22T05:24:13.858390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:14.043922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 185
73.1%
3 59
 
23.3%
2 7
 
2.8%
31 2
 
0.8%
Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
185 
폐업
59 
휴업
 
7
등록취소
 
2

Length

Max length4
Median length3
Mean length2.7470356
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 185
73.1%
폐업 59
 
23.3%
휴업 7
 
2.8%
등록취소 2
 
0.8%

Length

2024-04-22T05:24:14.254804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:14.457487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 185
73.1%
폐업 59
 
23.3%
휴업 7
 
2.8%
등록취소 2
 
0.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing195
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean20149489
Minimum20050620
Maximum20210217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:14.667628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050620
5-th percentile20059121
Q120115848
median20170472
Q320190196
95-th percentile20200337
Maximum20210217
Range159597
Interquartile range (IQR)74348.5

Descriptive statistics

Standard deviation49349.556
Coefficient of variation (CV)0.0024491716
Kurtosis-0.58819303
Mean20149489
Median Absolute Deviation (MAD)20243.5
Skewness-0.94231452
Sum1.1686704 × 109
Variance2.4353787 × 109
MonotonicityNot monotonic
2024-04-22T05:24:14.930749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060927 1
 
0.4%
20180410 1
 
0.4%
20161231 1
 
0.4%
20100108 1
 
0.4%
20200414 1
 
0.4%
20191219 1
 
0.4%
20170102 1
 
0.4%
20170517 1
 
0.4%
20181123 1
 
0.4%
20060602 1
 
0.4%
Other values (48) 48
 
19.0%
(Missing) 195
77.1%
ValueCountFrequency (%)
20050620 1
0.4%
20050711 1
0.4%
20050727 1
0.4%
20060602 1
0.4%
20060628 1
0.4%
20060927 1
0.4%
20060928 1
0.4%
20061020 1
0.4%
20070126 1
0.4%
20080324 1
0.4%
ValueCountFrequency (%)
20210217 1
0.4%
20201231 1
0.4%
20200414 1
0.4%
20200323 1
0.4%
20191231 1
0.4%
20191219 1
0.4%
20191029 1
0.4%
20191017 1
0.4%
20190917 1
0.4%
20190729 1
0.4%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing246
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean20143497
Minimum20060406
Maximum20210101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:15.148385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060406
5-th percentile20060593
Q120061030
median20200901
Q320205506
95-th percentile20210101
Maximum20210101
Range149695
Interquartile range (IQR)144475

Descriptive statistics

Standard deviation77426.545
Coefficient of variation (CV)0.0038437489
Kurtosis-2.7867565
Mean20143497
Median Absolute Deviation (MAD)9200
Skewness-0.36496847
Sum1.4100448 × 108
Variance5.9948698 × 109
MonotonicityNot monotonic
2024-04-22T05:24:15.333500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20210101 2
 
0.8%
20061031 1
 
0.4%
20060406 1
 
0.4%
20061030 1
 
0.4%
20200901 1
 
0.4%
20200910 1
 
0.4%
(Missing) 246
97.2%
ValueCountFrequency (%)
20060406 1
0.4%
20061030 1
0.4%
20061031 1
0.4%
20200901 1
0.4%
20200910 1
0.4%
20210101 2
0.8%
ValueCountFrequency (%)
20210101 2
0.8%
20200910 1
0.4%
20200901 1
0.4%
20061031 1
0.4%
20061030 1
0.4%
20060406 1
0.4%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing246
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean20149484
Minimum20061005
Maximum20211231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:15.524385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061005
5-th percentile20064012
Q120071030
median20210331
Q320210880
95-th percentile20211141
Maximum20211231
Range150226
Interquartile range (IQR)139850.5

Descriptive statistics

Standard deviation76586.235
Coefficient of variation (CV)0.003800903
Kurtosis-2.7723166
Mean20149484
Median Absolute Deviation (MAD)900
Skewness-0.38170716
Sum1.4104639 × 108
Variance5.8654514 × 109
MonotonicityNot monotonic
2024-04-22T05:24:15.708677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20071030 2
 
0.8%
20061005 1
 
0.4%
20210831 1
 
0.4%
20210930 1
 
0.4%
20210331 1
 
0.4%
20211231 1
 
0.4%
(Missing) 246
97.2%
ValueCountFrequency (%)
20061005 1
0.4%
20071030 2
0.8%
20210331 1
0.4%
20210831 1
0.4%
20210930 1
0.4%
20211231 1
0.4%
ValueCountFrequency (%)
20211231 1
0.4%
20210930 1
0.4%
20210831 1
0.4%
20210331 1
0.4%
20071030 2
0.8%
20061005 1
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

소재지전화
Text

MISSING 

Distinct171
Distinct (%)100.0%
Missing82
Missing (%)32.4%
Memory size2.1 KiB
2024-04-22T05:24:16.548258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.672515
Min length8

Characters and Unicode

Total characters1996
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)100.0%

Sample

1st row051-552-9511
2nd row051-913-0804
3rd row051 731 2120
4th row051 744 4514
5th row741-8200
ValueCountFrequency (%)
051 6
 
3.3%
051-611-0003 1
 
0.5%
15222364 1
 
0.5%
051-755-3333 1
 
0.5%
051-759-1011 1
 
0.5%
051-755-0055 1
 
0.5%
051-753-1340 1
 
0.5%
051-757-9901 1
 
0.5%
0517564139 1
 
0.5%
0516224436 1
 
0.5%
Other values (168) 168
91.8%
2024-04-22T05:24:17.608742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 382
19.1%
1 309
15.5%
- 302
15.1%
5 259
13.0%
7 137
 
6.9%
2 123
 
6.2%
4 103
 
5.2%
8 102
 
5.1%
3 101
 
5.1%
6 95
 
4.8%
Other values (4) 83
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1678
84.1%
Dash Punctuation 302
 
15.1%
Space Separator 12
 
0.6%
Math Symbol 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 382
22.8%
1 309
18.4%
5 259
15.4%
7 137
 
8.2%
2 123
 
7.3%
4 103
 
6.1%
8 102
 
6.1%
3 101
 
6.0%
6 95
 
5.7%
9 67
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 302
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1996
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 382
19.1%
1 309
15.5%
- 302
15.1%
5 259
13.0%
7 137
 
6.9%
2 123
 
6.2%
4 103
 
5.2%
8 102
 
5.1%
3 101
 
5.1%
6 95
 
4.8%
Other values (4) 83
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 382
19.1%
1 309
15.5%
- 302
15.1%
5 259
13.0%
7 137
 
6.9%
2 123
 
6.2%
4 103
 
5.2%
8 102
 
5.1%
3 101
 
5.1%
6 95
 
4.8%
Other values (4) 83
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)54.4%
Missing163
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean610320.7
Minimum600022
Maximum617829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:17.857769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600022
5-th percentile600069
Q1607832
median612430.5
Q3613805
95-th percentile614847
Maximum617829
Range17807
Interquartile range (IQR)5973

Descriptive statistics

Standard deviation4940.2159
Coefficient of variation (CV)0.008094459
Kurtosis-0.34222611
Mean610320.7
Median Absolute Deviation (MAD)1383
Skewness-0.9964356
Sum54928863
Variance24405733
MonotonicityNot monotonic
2024-04-22T05:24:18.116105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
612040 7
 
2.8%
613805 6
 
2.4%
612821 6
 
2.4%
614847 6
 
2.4%
612846 5
 
2.0%
612824 3
 
1.2%
612020 3
 
1.2%
600045 3
 
1.2%
613828 3
 
1.2%
607832 2
 
0.8%
Other values (39) 46
 
18.2%
(Missing) 163
64.4%
ValueCountFrequency (%)
600022 1
 
0.4%
600045 3
1.2%
600051 1
 
0.4%
600091 1
 
0.4%
600811 2
0.8%
601807 2
0.8%
601808 1
 
0.4%
601837 1
 
0.4%
602011 1
 
0.4%
602803 2
0.8%
ValueCountFrequency (%)
617829 1
 
0.4%
617809 1
 
0.4%
616816 1
 
0.4%
614847 6
2.4%
614846 1
 
0.4%
614845 1
 
0.4%
613830 1
 
0.4%
613828 3
1.2%
613827 1
 
0.4%
613815 1
 
0.4%
Distinct235
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-22T05:24:19.461695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length21.818182
Min length13

Characters and Unicode

Total characters5520
Distinct characters171
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

Unique224 ?
Unique (%)88.5%

Sample

1st row부산광역시 수영구 민락동 178-13번지
2nd row부산광역시 동래구 온천동 210-82번지
3rd row부산광역시 해운대구 송정동 312-6번지 프롬 게스트하우스 3,4동
4th row부산광역시 해운대구 우동 1510번지 센텀드림월드
5th row부산광역시 해운대구 우동 648-9번지
ValueCountFrequency (%)
부산광역시 253
23.6%
해운대구 79
 
7.4%
수영구 71
 
6.6%
민락동 41
 
3.8%
송정동 28
 
2.6%
우동 26
 
2.4%
광안동 24
 
2.2%
중동 23
 
2.1%
부산진구 19
 
1.8%
부전동 18
 
1.7%
Other values (334) 489
45.7%
2024-04-22T05:24:21.012080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
818
 
14.8%
298
 
5.4%
286
 
5.2%
285
 
5.2%
1 283
 
5.1%
270
 
4.9%
258
 
4.7%
254
 
4.6%
244
 
4.4%
- 222
 
4.0%
Other values (161) 2302
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3351
60.7%
Decimal Number 1110
 
20.1%
Space Separator 818
 
14.8%
Dash Punctuation 222
 
4.0%
Uppercase Letter 7
 
0.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 3
 
0.1%
Math Symbol 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
298
 
8.9%
286
 
8.5%
285
 
8.5%
270
 
8.1%
258
 
7.7%
254
 
7.6%
244
 
7.3%
151
 
4.5%
141
 
4.2%
91
 
2.7%
Other values (139) 1073
32.0%
Decimal Number
ValueCountFrequency (%)
1 283
25.5%
2 128
11.5%
4 122
11.0%
5 110
 
9.9%
3 100
 
9.0%
0 87
 
7.8%
8 81
 
7.3%
7 73
 
6.6%
6 68
 
6.1%
9 58
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
K 2
28.6%
O 1
14.3%
G 1
14.3%
T 1
14.3%
Space Separator
ValueCountFrequency (%)
818
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3351
60.7%
Common 2161
39.1%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
298
 
8.9%
286
 
8.5%
285
 
8.5%
270
 
8.1%
258
 
7.7%
254
 
7.6%
244
 
7.3%
151
 
4.5%
141
 
4.2%
91
 
2.7%
Other values (139) 1073
32.0%
Common
ValueCountFrequency (%)
818
37.9%
1 283
 
13.1%
- 222
 
10.3%
2 128
 
5.9%
4 122
 
5.6%
5 110
 
5.1%
3 100
 
4.6%
0 87
 
4.0%
8 81
 
3.7%
7 73
 
3.4%
Other values (6) 137
 
6.3%
Latin
ValueCountFrequency (%)
A 2
25.0%
K 2
25.0%
O 1
12.5%
1
12.5%
G 1
12.5%
T 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3351
60.7%
ASCII 2168
39.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
818
37.7%
1 283
 
13.1%
- 222
 
10.2%
2 128
 
5.9%
4 122
 
5.6%
5 110
 
5.1%
3 100
 
4.6%
0 87
 
4.0%
8 81
 
3.7%
7 73
 
3.4%
Other values (11) 144
 
6.6%
Hangul
ValueCountFrequency (%)
298
 
8.9%
286
 
8.5%
285
 
8.5%
270
 
8.1%
258
 
7.7%
254
 
7.6%
244
 
7.3%
151
 
4.5%
141
 
4.2%
91
 
2.7%
Other values (139) 1073
32.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct249
Distinct (%)99.2%
Missing2
Missing (%)0.8%
Memory size2.1 KiB
2024-04-22T05:24:22.121679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length29.418327
Min length20

Characters and Unicode

Total characters7384
Distinct characters216
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

Unique247 ?
Unique (%)98.4%

Sample

1st row부산광역시 수영구 광안해변로 249, 7층 (민락동, 홍윤빌딩)
2nd row부산광역시 동래구 금강로 110 (온천동)
3rd row부산광역시 해운대구 송정광어골로 15-1, 3,4층 (송정동, 프롬 게스트하우스)
4th row부산광역시 해운대구 센텀2로 25, 14층 (우동, 센텀드림월드)
5th row부산광역시 해운대구 해운대해변로209번가길 25 (우동, 노비오스모텔)
ValueCountFrequency (%)
부산광역시 251
 
17.9%
해운대구 79
 
5.6%
수영구 71
 
5.1%
민락동 42
 
3.0%
송정동 28
 
2.0%
광안동 25
 
1.8%
우동 24
 
1.7%
중동 23
 
1.6%
부산진구 19
 
1.4%
부전동 18
 
1.3%
Other values (428) 825
58.7%
2024-04-22T05:24:23.516323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1173
 
15.9%
345
 
4.7%
301
 
4.1%
288
 
3.9%
286
 
3.9%
260
 
3.5%
253
 
3.4%
253
 
3.4%
) 242
 
3.3%
( 242
 
3.3%
Other values (206) 3741
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4544
61.5%
Space Separator 1173
 
15.9%
Decimal Number 983
 
13.3%
Close Punctuation 242
 
3.3%
Open Punctuation 242
 
3.3%
Other Punctuation 127
 
1.7%
Dash Punctuation 34
 
0.5%
Math Symbol 24
 
0.3%
Uppercase Letter 14
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
345
 
7.6%
301
 
6.6%
288
 
6.3%
286
 
6.3%
260
 
5.7%
253
 
5.6%
253
 
5.6%
237
 
5.2%
179
 
3.9%
152
 
3.3%
Other values (181) 1990
43.8%
Decimal Number
ValueCountFrequency (%)
1 203
20.7%
2 155
15.8%
3 119
12.1%
7 91
9.3%
4 87
8.9%
6 81
 
8.2%
5 73
 
7.4%
9 65
 
6.6%
0 57
 
5.8%
8 52
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
28.6%
K 2
14.3%
B 2
14.3%
C 2
14.3%
O 1
 
7.1%
T 1
 
7.1%
G 1
 
7.1%
M 1
 
7.1%
Space Separator
ValueCountFrequency (%)
1173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 242
100.0%
Open Punctuation
ValueCountFrequency (%)
( 242
100.0%
Other Punctuation
ValueCountFrequency (%)
, 127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4544
61.5%
Common 2825
38.3%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
345
 
7.6%
301
 
6.6%
288
 
6.3%
286
 
6.3%
260
 
5.7%
253
 
5.6%
253
 
5.6%
237
 
5.2%
179
 
3.9%
152
 
3.3%
Other values (181) 1990
43.8%
Common
ValueCountFrequency (%)
1173
41.5%
) 242
 
8.6%
( 242
 
8.6%
1 203
 
7.2%
2 155
 
5.5%
, 127
 
4.5%
3 119
 
4.2%
7 91
 
3.2%
4 87
 
3.1%
6 81
 
2.9%
Other values (6) 305
 
10.8%
Latin
ValueCountFrequency (%)
A 4
26.7%
K 2
13.3%
B 2
13.3%
C 2
13.3%
O 1
 
6.7%
T 1
 
6.7%
1
 
6.7%
G 1
 
6.7%
M 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4544
61.5%
ASCII 2839
38.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1173
41.3%
) 242
 
8.5%
( 242
 
8.5%
1 203
 
7.2%
2 155
 
5.5%
, 127
 
4.5%
3 119
 
4.2%
7 91
 
3.2%
4 87
 
3.1%
6 81
 
2.9%
Other values (14) 319
 
11.2%
Hangul
ValueCountFrequency (%)
345
 
7.6%
301
 
6.6%
288
 
6.3%
286
 
6.3%
260
 
5.7%
253
 
5.6%
253
 
5.6%
237
 
5.2%
179
 
3.9%
152
 
3.3%
Other values (181) 1990
43.8%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)43.5%
Missing39
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean50667.888
Minimum46027
Maximum602831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:23.753007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46027
5-th percentile46452.1
Q148073
median48107.5
Q348303
95-th percentile48959.8
Maximum602831
Range556804
Interquartile range (IQR)230

Descriptive statistics

Standard deviation37928.254
Coefficient of variation (CV)0.74856592
Kurtosis213.86376
Mean50667.888
Median Absolute Deviation (MAD)176.5
Skewness14.621779
Sum10842928
Variance1.4385525 × 109
MonotonicityNot monotonic
2024-04-22T05:24:23.989905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48283 23
 
9.1%
48073 22
 
8.7%
48303 18
 
7.1%
48093 10
 
4.0%
48099 7
 
2.8%
48284 6
 
2.4%
48290 5
 
2.0%
48094 5
 
2.0%
48072 4
 
1.6%
48095 4
 
1.6%
Other values (83) 110
43.5%
(Missing) 39
 
15.4%
ValueCountFrequency (%)
46027 1
 
0.4%
46032 1
 
0.4%
46044 3
1.2%
46079 1
 
0.4%
46082 1
 
0.4%
46083 2
0.8%
46084 1
 
0.4%
46274 1
 
0.4%
46548 1
 
0.4%
46567 1
 
0.4%
ValueCountFrequency (%)
602831 1
0.4%
49312 1
0.4%
49311 1
0.4%
49275 1
0.4%
49269 1
0.4%
49264 2
0.8%
49037 1
0.4%
48983 2
0.8%
48965 1
0.4%
48957 1
0.4%
Distinct248
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-22T05:24:24.789059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.5731225
Min length2

Characters and Unicode

Total characters2169
Distinct characters303
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

Unique243 ?
Unique (%)96.0%

Sample

1st row지니게스트하우스2
2nd row동방관광호텔
3rd row프롬 게스트하우스
4th row스테이7 센텀 비지니스 호스텔
5th rowARK BLUE HOTEL
ValueCountFrequency (%)
호텔 18
 
4.6%
부산 12
 
3.1%
호스텔 10
 
2.6%
관광호텔 8
 
2.0%
해운대 7
 
1.8%
브라운도트호텔 6
 
1.5%
게스트하우스 6
 
1.5%
브라운도트 5
 
1.3%
hotel 5
 
1.3%
토요코인 3
 
0.8%
Other values (294) 311
79.5%
2024-04-22T05:24:25.812089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
163
 
7.5%
163
 
7.5%
138
 
6.4%
109
 
5.0%
61
 
2.8%
53
 
2.4%
52
 
2.4%
49
 
2.3%
( 40
 
1.8%
) 40
 
1.8%
Other values (293) 1301
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1732
79.9%
Space Separator 138
 
6.4%
Uppercase Letter 118
 
5.4%
Decimal Number 49
 
2.3%
Open Punctuation 41
 
1.9%
Close Punctuation 41
 
1.9%
Lowercase Letter 39
 
1.8%
Other Punctuation 6
 
0.3%
Dash Punctuation 3
 
0.1%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
163
 
9.4%
163
 
9.4%
109
 
6.3%
61
 
3.5%
53
 
3.1%
52
 
3.0%
49
 
2.8%
38
 
2.2%
36
 
2.1%
32
 
1.8%
Other values (239) 976
56.4%
Uppercase Letter
ValueCountFrequency (%)
E 16
13.6%
A 11
9.3%
L 11
9.3%
H 10
 
8.5%
T 10
 
8.5%
N 8
 
6.8%
G 7
 
5.9%
O 7
 
5.9%
B 7
 
5.9%
S 4
 
3.4%
Other values (11) 27
22.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.9%
o 5
12.8%
l 4
10.3%
s 4
10.3%
t 3
7.7%
u 3
7.7%
g 3
7.7%
h 2
 
5.1%
d 2
 
5.1%
i 2
 
5.1%
Other values (4) 4
10.3%
Decimal Number
ValueCountFrequency (%)
2 10
20.4%
3 8
16.3%
5 7
14.3%
9 5
10.2%
6 5
10.2%
1 5
10.2%
7 4
 
8.2%
8 2
 
4.1%
4 2
 
4.1%
0 1
 
2.0%
Open Punctuation
ValueCountFrequency (%)
( 40
97.6%
[ 1
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 40
97.6%
] 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
& 3
50.0%
Space Separator
ValueCountFrequency (%)
138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1732
79.9%
Common 278
 
12.8%
Latin 159
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
163
 
9.4%
163
 
9.4%
109
 
6.3%
61
 
3.5%
53
 
3.1%
52
 
3.0%
49
 
2.8%
38
 
2.2%
36
 
2.1%
32
 
1.8%
Other values (239) 976
56.4%
Latin
ValueCountFrequency (%)
E 16
 
10.1%
A 11
 
6.9%
L 11
 
6.9%
H 10
 
6.3%
T 10
 
6.3%
N 8
 
5.0%
G 7
 
4.4%
O 7
 
4.4%
B 7
 
4.4%
e 7
 
4.4%
Other values (26) 65
40.9%
Common
ValueCountFrequency (%)
138
49.6%
( 40
 
14.4%
) 40
 
14.4%
2 10
 
3.6%
3 8
 
2.9%
5 7
 
2.5%
9 5
 
1.8%
6 5
 
1.8%
1 5
 
1.8%
7 4
 
1.4%
Other values (8) 16
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1732
79.9%
ASCII 435
 
20.1%
Number Forms 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
163
 
9.4%
163
 
9.4%
109
 
6.3%
61
 
3.5%
53
 
3.1%
52
 
3.0%
49
 
2.8%
38
 
2.2%
36
 
2.1%
32
 
1.8%
Other values (239) 976
56.4%
ASCII
ValueCountFrequency (%)
138
31.7%
( 40
 
9.2%
) 40
 
9.2%
E 16
 
3.7%
A 11
 
2.5%
L 11
 
2.5%
2 10
 
2.3%
H 10
 
2.3%
T 10
 
2.3%
3 8
 
1.8%
Other values (43) 141
32.4%
Number Forms
ValueCountFrequency (%)
2
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0186756 × 1013
Minimum2.0050621 × 1013
Maximum2.0210225 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:26.054808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0050621 × 1013
5-th percentile2.0080495 × 1013
Q12.0190311 × 1013
median2.0200213 × 1013
Q32.0201221 × 1013
95-th percentile2.0210219 × 1013
Maximum2.0210225 × 1013
Range1.5960399 × 1011
Interquartile range (IQR)1.0910003 × 1010

Descriptive statistics

Standard deviation3.5437156 × 1010
Coefficient of variation (CV)0.0017554656
Kurtosis6.5327775
Mean2.0186756 × 1013
Median Absolute Deviation (MAD)9.5960095 × 109
Skewness-2.6739484
Sum5.1072493 × 1015
Variance1.2557921 × 1021
MonotonicityNot monotonic
2024-04-22T05:24:26.318943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180827102326 1
 
0.4%
20200803084614 1
 
0.4%
20210120141058 1
 
0.4%
20190916160338 1
 
0.4%
20190603101233 1
 
0.4%
20171120193904 1
 
0.4%
20190625115914 1
 
0.4%
20210114181004 1
 
0.4%
20190808133900 1
 
0.4%
20181031103541 1
 
0.4%
Other values (243) 243
96.0%
ValueCountFrequency (%)
20050621104507 1
0.4%
20050711162144 1
0.4%
20050727133220 1
0.4%
20060602145220 1
0.4%
20060628142421 1
0.4%
20060731144015 1
0.4%
20060927180940 1
0.4%
20060929162709 1
0.4%
20061020155727 1
0.4%
20061031180359 1
0.4%
ValueCountFrequency (%)
20210225093604 1
0.4%
20210224185001 1
0.4%
20210224180010 1
0.4%
20210224175816 1
0.4%
20210224175658 1
0.4%
20210224175011 1
0.4%
20210224173810 1
0.4%
20210224125431 1
0.4%
20210224103816 1
0.4%
20210223143624 1
0.4%
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
U
197 
I
56 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 197
77.9%
I 56
 
22.1%

Length

2024-04-22T05:24:26.559580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:26.723822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 197
77.9%
i 56
 
22.1%
Distinct115
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-27 02:40:00
2024-04-22T05:24:26.911464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:24:27.176104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct227
Distinct (%)91.2%
Missing4
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean392427.79
Minimum379032.34
Maximum404842.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:27.437352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379032.34
5-th percentile383506.17
Q1387484.56
median393184.26
Q3396676.48
95-th percentile400616.08
Maximum404842.8
Range25810.454
Interquartile range (IQR)9191.9198

Descriptive statistics

Standard deviation5674.9444
Coefficient of variation (CV)0.014461118
Kurtosis-0.58891581
Mean392427.79
Median Absolute Deviation (MAD)4031.0941
Skewness-0.25447616
Sum97714519
Variance32204994
MonotonicityNot monotonic
2024-04-22T05:24:27.706436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393521.998603867 7
 
2.8%
397494.828591053 3
 
1.2%
395574.958778256 3
 
1.2%
397022.971550345 3
 
1.2%
400209.911813606 2
 
0.8%
384719.60881858 2
 
0.8%
392732.161638137 2
 
0.8%
392578.29664069 2
 
0.8%
393475.046553126 2
 
0.8%
396200.686719735 2
 
0.8%
Other values (217) 221
87.4%
(Missing) 4
 
1.6%
ValueCountFrequency (%)
379032.341485035 1
0.4%
379146.456410293 1
0.4%
379166.258036809 1
0.4%
379217.521019149 1
0.4%
379527.59641944 1
0.4%
379731.953370869 1
0.4%
380057.991425369 1
0.4%
380460.313281968 1
0.4%
380690.195137444 1
0.4%
381753.509588417 1
0.4%
ValueCountFrequency (%)
404842.795477 1
0.4%
403158.948088181 1
0.4%
403138.677972054 1
0.4%
402899.903247998 1
0.4%
402877.316530715 1
0.4%
402350.452980965 1
0.4%
402144.440463941 1
0.4%
401110.03747854 1
0.4%
400817.585616257 1
0.4%
400768.055656637 1
0.4%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct227
Distinct (%)91.2%
Missing4
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean186207
Minimum174765.31
Maximum207516.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:27.946476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174765.31
5-th percentile179595.86
Q1185530.08
median186199.79
Q3187505.33
95-th percentile192637.84
Maximum207516.98
Range32751.676
Interquartile range (IQR)1975.2583

Descriptive statistics

Standard deviation3973.6591
Coefficient of variation (CV)0.021340009
Kurtosis4.9923202
Mean186207
Median Absolute Deviation (MAD)902.87581
Skewness0.76116027
Sum46365544
Variance15789967
MonotonicityNot monotonic
2024-04-22T05:24:28.475032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185933.100965604 7
 
2.8%
187231.036757478 3
 
1.2%
186053.656022508 3
 
1.2%
186692.06462196 3
 
1.2%
188930.337546361 2
 
0.8%
178090.566769083 2
 
0.8%
185542.452702234 2
 
0.8%
185333.165354711 2
 
0.8%
186049.671295774 2
 
0.8%
186216.650203359 2
 
0.8%
Other values (217) 221
87.4%
(Missing) 4
 
1.6%
ValueCountFrequency (%)
174765.307900471 1
0.4%
175776.950578959 1
0.4%
176944.175666118 1
0.4%
177210.05114787 1
0.4%
177272.599070061 1
0.4%
178090.566769083 2
0.8%
179018.65381904 1
0.4%
179296.177935356 1
0.4%
179447.226505734 1
0.4%
179482.336622982 1
0.4%
ValueCountFrequency (%)
207516.984282 1
0.4%
204037.010296474 1
0.4%
198055.522421124 1
0.4%
198007.244770813 1
0.4%
195952.674076618 1
0.4%
194554.94940589 1
0.4%
193732.986829639 1
0.4%
193209.131530013 1
0.4%
193171.650339148 1
0.4%
192996.253435511 1
0.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
관광숙박업
253 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광숙박업 253
100.0%

Length

2024-04-22T05:24:28.707099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:28.865994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 253
100.0%
Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
188 
관광사업
65 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 188
74.3%
관광사업 65
 
25.7%

Length

2024-04-22T05:24:29.027881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:29.190001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
74.3%
관광사업 65
 
25.7%

지역구분명
Categorical

Distinct10
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
91 
일반상업지역
77 
준주거지역
46 
상업지역
21 
일반주거지역
 
9
Other values (5)
 
9

Length

Max length6
Median length5
Mean length4.8932806
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
36.0%
일반상업지역 77
30.4%
준주거지역 46
18.2%
상업지역 21
 
8.3%
일반주거지역 9
 
3.6%
주거지역 3
 
1.2%
자연녹지지역 2
 
0.8%
준공업지역 2
 
0.8%
공업지역 1
 
0.4%
중심상업지역 1
 
0.4%

Length

2024-04-22T05:24:29.392112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:29.619447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
36.0%
일반상업지역 77
30.4%
준주거지역 46
18.2%
상업지역 21
 
8.3%
일반주거지역 9
 
3.6%
주거지역 3
 
1.2%
자연녹지지역 2
 
0.8%
준공업지역 2
 
0.8%
공업지역 1
 
0.4%
중심상업지역 1
 
0.4%

총층수
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)16.5%
Missing95
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean10.139241
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:29.845273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median9
Q312
95-th percentile21
Maximum47
Range46
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.4328658
Coefficient of variation (CV)0.63445243
Kurtosis8.4754507
Mean10.139241
Median Absolute Deviation (MAD)3
Skewness2.2117513
Sum1602
Variance41.381762
MonotonicityNot monotonic
2024-04-22T05:24:30.056690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
10 22
 
8.7%
7 14
 
5.5%
5 13
 
5.1%
8 13
 
5.1%
11 13
 
5.1%
9 11
 
4.3%
12 10
 
4.0%
6 10
 
4.0%
4 8
 
3.2%
2 7
 
2.8%
Other values (16) 37
 
14.6%
(Missing) 95
37.5%
ValueCountFrequency (%)
1 2
 
0.8%
2 7
 
2.8%
3 3
 
1.2%
4 8
 
3.2%
5 13
5.1%
6 10
4.0%
7 14
5.5%
8 13
5.1%
9 11
4.3%
10 22
8.7%
ValueCountFrequency (%)
47 1
 
0.4%
39 1
 
0.4%
28 1
 
0.4%
25 2
 
0.8%
24 2
 
0.8%
21 2
 
0.8%
20 1
 
0.4%
19 5
2.0%
18 3
1.2%
17 5
2.0%

주변환경명
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
168 
기타
52 
유흥업소밀집지역
 
15
학교정화(상대)
 
13
주택가주변
 
5

Length

Max length8
Median length4
Mean length4.0513834
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 168
66.4%
기타 52
 
20.6%
유흥업소밀집지역 15
 
5.9%
학교정화(상대) 13
 
5.1%
주택가주변 5
 
2.0%

Length

2024-04-22T05:24:30.287127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:30.478331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 168
66.4%
기타 52
 
20.6%
유흥업소밀집지역 15
 
5.9%
학교정화(상대 13
 
5.1%
주택가주변 5
 
2.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

보험기관명
Text

MISSING 

Distinct16
Distinct (%)64.0%
Missing228
Missing (%)90.1%
Memory size2.1 KiB
2024-04-22T05:24:31.005683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.44
Min length2

Characters and Unicode

Total characters186
Distinct characters35
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)48.0%

Sample

1st row재난배상책임보험
2nd row메리츠화재
3rd row동부
4th row한화손해보험
5th row현대
ValueCountFrequency (%)
재난배상책임보험 5
19.2%
한화손해보험 4
15.4%
메리츠화재 3
11.5%
농협손해보험주식회사 2
 
7.7%
현대해상화재보험 1
 
3.8%
동부 1
 
3.8%
현대 1
 
3.8%
메리츠보험 1
 
3.8%
수협 1
 
3.8%
삼성화재해상보험주식회사 1
 
3.8%
Other values (6) 6
23.1%
2024-04-22T05:24:31.768239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
9.1%
17
 
9.1%
16
 
8.6%
13
 
7.0%
11
 
5.9%
10
 
5.4%
7
 
3.8%
7
 
3.8%
7
 
3.8%
7
 
3.8%
Other values (25) 74
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
96.2%
Open Punctuation 2
 
1.1%
Close Punctuation 2
 
1.1%
Uppercase Letter 2
 
1.1%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
9.5%
17
 
9.5%
16
 
8.9%
13
 
7.3%
11
 
6.1%
10
 
5.6%
7
 
3.9%
7
 
3.9%
7
 
3.9%
7
 
3.9%
Other values (20) 67
37.4%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
H 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
96.2%
Common 5
 
2.7%
Latin 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
9.5%
17
 
9.5%
16
 
8.9%
13
 
7.3%
11
 
6.1%
10
 
5.6%
7
 
3.9%
7
 
3.9%
7
 
3.9%
7
 
3.9%
Other values (20) 67
37.4%
Common
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
1
20.0%
Latin
ValueCountFrequency (%)
N 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
96.2%
ASCII 7
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
17
 
9.5%
17
 
9.5%
16
 
8.9%
13
 
7.3%
11
 
6.1%
10
 
5.6%
7
 
3.9%
7
 
3.9%
7
 
3.9%
7
 
3.9%
Other values (20) 67
37.4%
ASCII
ValueCountFrequency (%)
( 2
28.6%
) 2
28.6%
N 1
14.3%
H 1
14.3%
1
14.3%

건물용도명
Categorical

Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
127 
숙박시설
82 
호텔
38 
근린생활시설
 
3
콘도미니엄
 
2

Length

Max length6
Median length4
Mean length3.7233202
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 127
50.2%
숙박시설 82
32.4%
호텔 38
 
15.0%
근린생활시설 3
 
1.2%
콘도미니엄 2
 
0.8%
기타 1
 
0.4%

Length

2024-04-22T05:24:32.008865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:32.213306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
50.2%
숙박시설 82
32.4%
호텔 38
 
15.0%
근린생활시설 3
 
1.2%
콘도미니엄 2
 
0.8%
기타 1
 
0.4%

지상층수
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)14.8%
Missing98
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean9.7870968
Minimum2
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:32.416018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median9
Q311
95-th percentile20
Maximum43
Range41
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.9706937
Coefficient of variation (CV)0.61005769
Kurtosis8.8991779
Mean9.7870968
Median Absolute Deviation (MAD)3
Skewness2.339875
Sum1517
Variance35.649183
MonotonicityNot monotonic
2024-04-22T05:24:32.623067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10 21
 
8.3%
8 20
 
7.9%
9 17
 
6.7%
6 14
 
5.5%
4 12
 
4.7%
7 12
 
4.7%
15 9
 
3.6%
3 7
 
2.8%
5 7
 
2.8%
11 7
 
2.8%
Other values (13) 29
 
11.5%
(Missing) 98
38.7%
ValueCountFrequency (%)
2 3
 
1.2%
3 7
 
2.8%
4 12
4.7%
5 7
 
2.8%
6 14
5.5%
7 12
4.7%
8 20
7.9%
9 17
6.7%
10 21
8.3%
11 7
 
2.8%
ValueCountFrequency (%)
43 1
 
0.4%
39 1
 
0.4%
26 1
 
0.4%
24 1
 
0.4%
23 1
 
0.4%
22 2
 
0.8%
20 2
 
0.8%
19 5
2.0%
17 2
 
0.8%
16 2
 
0.8%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)4.9%
Missing131
Missing (%)51.8%
Infinite0
Infinite (%)0.0%
Mean1.6885246
Minimum0
Maximum5
Zeros7
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:32.809990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q11
median1
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0990752
Coefficient of variation (CV)0.65090864
Kurtosis0.67023882
Mean1.6885246
Median Absolute Deviation (MAD)0.5
Skewness1.0648966
Sum206
Variance1.2079664
MonotonicityNot monotonic
2024-04-22T05:24:32.998330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 61
24.1%
2 31
 
12.3%
3 11
 
4.3%
4 10
 
4.0%
0 7
 
2.8%
5 2
 
0.8%
(Missing) 131
51.8%
ValueCountFrequency (%)
0 7
 
2.8%
1 61
24.1%
2 31
12.3%
3 11
 
4.3%
4 10
 
4.0%
5 2
 
0.8%
ValueCountFrequency (%)
5 2
 
0.8%
4 10
 
4.0%
3 11
 
4.3%
2 31
12.3%
1 61
24.1%
0 7
 
2.8%

객실수
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)50.0%
Missing53
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean70.685
Minimum1
Maximum650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:33.218124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median32
Q361
95-th percentile316.7
Maximum650
Range649
Interquartile range (IQR)54

Descriptive statistics

Standard deviation110.93425
Coefficient of variation (CV)1.5694171
Kurtosis7.2707324
Mean70.685
Median Absolute Deviation (MAD)25
Skewness2.6240504
Sum14137
Variance12306.408
MonotonicityNot monotonic
2024-04-22T05:24:33.472231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 12
 
4.7%
5 9
 
3.6%
6 9
 
3.6%
8 8
 
3.2%
3 7
 
2.8%
2 7
 
2.8%
40 6
 
2.4%
4 5
 
2.0%
45 4
 
1.6%
48 4
 
1.6%
Other values (90) 129
51.0%
(Missing) 53
20.9%
ValueCountFrequency (%)
1 2
 
0.8%
2 7
2.8%
3 7
2.8%
4 5
2.0%
5 9
3.6%
6 9
3.6%
7 12
4.7%
8 8
3.2%
9 3
 
1.2%
10 2
 
0.8%
ValueCountFrequency (%)
650 1
0.4%
528 1
0.4%
510 1
0.4%
491 1
0.4%
417 1
0.4%
407 1
0.4%
393 1
0.4%
350 1
0.4%
331 1
0.4%
330 1
0.4%

건축연면적
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)97.6%
Missing169
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean9130.75
Minimum114
Maximum183804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:33.727642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum114
5-th percentile343
Q11363.75
median2671.5
Q37116.5
95-th percentile20571
Maximum183804
Range183690
Interquartile range (IQR)5752.75

Descriptive statistics

Standard deviation23979.321
Coefficient of variation (CV)2.6262159
Kurtosis36.682179
Mean9130.75
Median Absolute Deviation (MAD)1685.5
Skewness5.6974454
Sum766983
Variance5.7500782 × 108
MonotonicityNot monotonic
2024-04-22T05:24:33.981136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20571 2
 
0.8%
821 2
 
0.8%
1489 1
 
0.4%
2282 1
 
0.4%
2324 1
 
0.4%
547 1
 
0.4%
1198 1
 
0.4%
1781 1
 
0.4%
3655 1
 
0.4%
616 1
 
0.4%
Other values (72) 72
28.5%
(Missing) 169
66.8%
ValueCountFrequency (%)
114 1
0.4%
119 1
0.4%
302 1
0.4%
320 1
0.4%
334 1
0.4%
394 1
0.4%
427 1
0.4%
530 1
0.4%
547 1
0.4%
616 1
0.4%
ValueCountFrequency (%)
183804 1
0.4%
93982 1
0.4%
84753 1
0.4%
29599 1
0.4%
20571 2
0.8%
19952 1
0.4%
19846 1
0.4%
18393 1
0.4%
17033 1
0.4%
16175 1
0.4%

영문상호명
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing220
Missing (%)87.0%
Memory size2.1 KiB
2024-04-22T05:24:34.657406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length19.393939
Min length8

Characters and Unicode

Total characters640
Distinct characters50
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st rowDOWN BEACH TOURIST HOTEL
2nd rowRIO TOURIST HOTEL
3rd rowSolaria Nishitetsu Hotel Busan
4th rowNEW CONTINENTAL TOURIST HOTEL
5th rowTOURIST HOTEL MIRABO Inc
ValueCountFrequency (%)
hotel 23
22.8%
tourist 5
 
5.0%
busan 5
 
5.0%
house 3
 
3.0%
brown-dot 2
 
2.0%
city 2
 
2.0%
hostel 2
 
2.0%
dongbusan 1
 
1.0%
lotte 1
 
1.0%
beach 1
 
1.0%
Other values (56) 56
55.4%
2024-04-22T05:24:35.531442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
10.6%
O 47
 
7.3%
T 39
 
6.1%
H 35
 
5.5%
E 31
 
4.8%
S 27
 
4.2%
e 27
 
4.2%
L 26
 
4.1%
o 26
 
4.1%
N 26
 
4.1%
Other values (40) 288
45.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 364
56.9%
Lowercase Letter 192
30.0%
Space Separator 68
 
10.6%
Other Punctuation 8
 
1.2%
Dash Punctuation 5
 
0.8%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Final Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 47
12.9%
T 39
10.7%
H 35
9.6%
E 31
 
8.5%
S 27
 
7.4%
L 26
 
7.1%
N 26
 
7.1%
A 21
 
5.8%
I 17
 
4.7%
U 16
 
4.4%
Other values (12) 79
21.7%
Lowercase Letter
ValueCountFrequency (%)
e 27
14.1%
o 26
13.5%
t 24
12.5%
n 16
8.3%
s 15
7.8%
l 13
6.8%
a 13
6.8%
i 12
6.2%
u 12
6.2%
r 6
 
3.1%
Other values (10) 28
14.6%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
. 3
37.5%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 556
86.9%
Common 84
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 47
 
8.5%
T 39
 
7.0%
H 35
 
6.3%
E 31
 
5.6%
S 27
 
4.9%
e 27
 
4.9%
L 26
 
4.7%
o 26
 
4.7%
N 26
 
4.7%
t 24
 
4.3%
Other values (32) 248
44.6%
Common
ValueCountFrequency (%)
68
81.0%
- 5
 
6.0%
, 4
 
4.8%
. 3
 
3.6%
( 1
 
1.2%
) 1
 
1.2%
1
 
1.2%
& 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 639
99.8%
Punctuation 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
 
10.6%
O 47
 
7.4%
T 39
 
6.1%
H 35
 
5.5%
E 31
 
4.9%
S 27
 
4.2%
e 27
 
4.2%
L 26
 
4.1%
o 26
 
4.1%
N 26
 
4.1%
Other values (39) 287
44.9%
Punctuation
ValueCountFrequency (%)
1
100.0%

영문상호주소
Text

MISSING 

Distinct16
Distinct (%)51.6%
Missing222
Missing (%)87.7%
Memory size2.1 KiB
2024-04-22T05:24:35.985982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length26.903226
Min length6

Characters and Unicode

Total characters834
Distinct characters37
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)29.0%

Sample

1st rowTOURIST ACCOMMODATION(TOURIST HOTEL)
2nd rowTOURIST ACCOMMODATION(TOURIST HOTEL)
3rd rowTourist Hotel
4th rowTOURIST ACCOMMODATION (TOURIST HOTEL)
5th rowTOURIST HOTEL
ValueCountFrequency (%)
tourist 26
30.6%
hotel 21
24.7%
accommodation(tourist 9
 
10.6%
accommodation 7
 
8.2%
business 5
 
5.9%
hostel 5
 
5.9%
tourism 4
 
4.7%
accommodation(hostel 2
 
2.4%
certificate 1
 
1.2%
of 1
 
1.2%
Other values (4) 4
 
4.7%
2024-04-22T05:24:36.687239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 106
 
12.7%
O 99
 
11.9%
I 54
 
6.5%
53
 
6.4%
S 38
 
4.6%
A 36
 
4.3%
C 36
 
4.3%
M 36
 
4.3%
R 35
 
4.2%
U 33
 
4.0%
Other values (27) 308
36.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 575
68.9%
Lowercase Letter 170
 
20.4%
Space Separator 53
 
6.4%
Open Punctuation 17
 
2.0%
Close Punctuation 17
 
2.0%
Control 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 106
18.4%
O 99
17.2%
I 54
9.4%
S 38
 
6.6%
A 36
 
6.3%
C 36
 
6.3%
M 36
 
6.3%
R 35
 
6.1%
U 33
 
5.7%
H 26
 
4.5%
Other values (7) 76
13.2%
Lowercase Letter
ValueCountFrequency (%)
o 27
15.9%
s 26
15.3%
t 23
13.5%
e 16
9.4%
i 15
8.8%
u 13
7.6%
l 12
7.1%
r 9
 
5.3%
m 6
 
3.5%
n 6
 
3.5%
Other values (5) 17
10.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 745
89.3%
Common 89
 
10.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 106
14.2%
O 99
13.3%
I 54
 
7.2%
S 38
 
5.1%
A 36
 
4.8%
C 36
 
4.8%
M 36
 
4.8%
R 35
 
4.7%
U 33
 
4.4%
o 27
 
3.6%
Other values (22) 245
32.9%
Common
ValueCountFrequency (%)
53
59.6%
( 17
 
19.1%
) 17
 
19.1%
1
 
1.1%
0 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 106
 
12.7%
O 99
 
11.9%
I 54
 
6.5%
53
 
6.4%
S 38
 
4.6%
A 36
 
4.3%
C 36
 
4.3%
M 36
 
4.3%
R 35
 
4.2%
U 33
 
4.0%
Other values (27) 308
36.9%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct182
Distinct (%)97.8%
Missing67
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean4202.7438
Minimum60.65
Maximum93981.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:36.923485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.65
5-th percentile111.925
Q1338.63
median1059.82
Q33411.49
95-th percentile17751.233
Maximum93981.55
Range93920.9
Interquartile range (IQR)3072.86

Descriptive statistics

Standard deviation10462.427
Coefficient of variation (CV)2.4894278
Kurtosis47.663019
Mean4202.7438
Median Absolute Deviation (MAD)893.88
Skewness6.3031329
Sum781710.35
Variance1.0946239 × 108
MonotonicityNot monotonic
2024-04-22T05:24:37.165020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
414.76 2
 
0.8%
218.85 2
 
0.8%
415.74 2
 
0.8%
165.94 2
 
0.8%
2706.44 1
 
0.4%
129.96 1
 
0.4%
169.63 1
 
0.4%
1382.35 1
 
0.4%
225.16 1
 
0.4%
313.04 1
 
0.4%
Other values (172) 172
68.0%
(Missing) 67
 
26.5%
ValueCountFrequency (%)
60.65 1
0.4%
65.77 1
0.4%
70.39 1
0.4%
75.8 1
0.4%
82.97 1
0.4%
83.37 1
0.4%
107.91 1
0.4%
108.35 1
0.4%
108.39 1
0.4%
109.21 1
0.4%
ValueCountFrequency (%)
93981.55 1
0.4%
84752.66 1
0.4%
30869.96 1
0.4%
28385.0 1
0.4%
27553.0 1
0.4%
25876.24 1
0.4%
24574.5 1
0.4%
19846.0 1
0.4%
18393.47 1
0.4%
18203.31 1
0.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

자본금
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)70.0%
Missing163
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean3.5056753 × 109
Minimum5000000
Maximum7 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:37.407694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000000
5-th percentile15875000
Q11 × 108
median3.45 × 108
Q32.5795 × 109
95-th percentile1.09875 × 1010
Maximum7 × 1010
Range6.9995 × 1010
Interquartile range (IQR)2.4795 × 109

Descriptive statistics

Standard deviation9.7219141 × 109
Coefficient of variation (CV)2.7731929
Kurtosis29.893027
Mean3.5056753 × 109
Median Absolute Deviation (MAD)3.15 × 108
Skewness5.1892784
Sum3.1551078 × 1011
Variance9.4515615 × 1019
MonotonicityNot monotonic
2024-04-22T05:24:37.668333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 8
 
3.2%
200000000 6
 
2.4%
2000000000 3
 
1.2%
800000000 3
 
1.2%
300000000 3
 
1.2%
150000000 3
 
1.2%
50000000 2
 
0.8%
250000000 2
 
0.8%
5000000000 2
 
0.8%
70000000 2
 
0.8%
Other values (53) 56
 
22.1%
(Missing) 163
64.4%
ValueCountFrequency (%)
5000000 2
0.8%
10000000 1
0.4%
12000000 1
0.4%
12500000 1
0.4%
20000000 1
0.4%
28000000 1
0.4%
30000000 1
0.4%
35000000 1
0.4%
40000000 1
0.4%
50000000 2
0.8%
ValueCountFrequency (%)
70000000000 1
0.4%
48000000000 1
0.4%
35300000000 1
0.4%
15000000000 1
0.4%
12000000000 1
0.4%
9750000000 1
0.4%
9000000000 1
0.4%
8000000000 1
0.4%
7600000000 1
0.4%
7000000000 1
0.4%

보험시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
251 
20180124
 
1
20190628
 
1

Length

Max length8
Median length4
Mean length4.0316206
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 251
99.2%
20180124 1
 
0.4%
20190628 1
 
0.4%

Length

2024-04-22T05:24:38.074885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:38.416360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 251
99.2%
20180124 1
 
0.4%
20190628 1
 
0.4%

보험종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
251 
20190124
 
1
20200628
 
1

Length

Max length8
Median length4
Mean length4.0316206
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 251
99.2%
20190124 1
 
0.4%
20200628 1
 
0.4%

Length

2024-04-22T05:24:38.788629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:39.127394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 251
99.2%
20190124 1
 
0.4%
20200628 1
 
0.4%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct175
Distinct (%)94.1%
Missing67
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean4202.7204
Minimum61
Maximum93982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-22T05:24:39.472713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile111.75
Q1338.5
median1059.5
Q33411.25
95-th percentile17751
Maximum93982
Range93921
Interquartile range (IQR)3072.75

Descriptive statistics

Standard deviation10462.47
Coefficient of variation (CV)2.4894518
Kurtosis47.66319
Mean4202.7204
Median Absolute Deviation (MAD)893.5
Skewness6.3031456
Sum781706
Variance1.0946328 × 108
MonotonicityNot monotonic
2024-04-22T05:24:39.894514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108 3
 
1.2%
416 3
 
1.2%
120 2
 
0.8%
219 2
 
0.8%
415 2
 
0.8%
166 2
 
0.8%
83 2
 
0.8%
208 2
 
0.8%
334 2
 
0.8%
3653 1
 
0.4%
Other values (165) 165
65.2%
(Missing) 67
26.5%
ValueCountFrequency (%)
61 1
 
0.4%
66 1
 
0.4%
70 1
 
0.4%
76 1
 
0.4%
83 2
0.8%
108 3
1.2%
109 1
 
0.4%
120 2
0.8%
130 1
 
0.4%
131 1
 
0.4%
ValueCountFrequency (%)
93982 1
0.4%
84753 1
0.4%
30870 1
0.4%
28385 1
0.4%
27553 1
0.4%
25876 1
0.4%
24575 1
0.4%
19846 1
0.4%
18393 1
0.4%
18203 1
0.4%
Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
관광호텔업
108 
호스텔업
104 
<NA>
29 
휴양콘도미니엄업
 
6
소형호텔업
 
5

Length

Max length8
Median length4
Mean length4.5454545
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
관광호텔업 108
42.7%
호스텔업 104
41.1%
<NA> 29
 
11.5%
휴양콘도미니엄업 6
 
2.4%
소형호텔업 5
 
2.0%
가족호텔업 1
 
0.4%

Length

2024-04-22T05:24:40.333879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:24:40.692104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔업 108
42.7%
호스텔업 104
41.1%
na 29
 
11.5%
휴양콘도미니엄업 6
 
2.4%
소형호텔업 5
 
2.0%
가족호텔업 1
 
0.4%

Unnamed: 64
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing253
Missing (%)100.0%
Memory size2.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명Unnamed: 64
01관광숙박업03_11_01_P3380000CDFI226003201500000420150630201808274취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>613828부산광역시 수영구 민락동 178-13번지부산광역시 수영구 광안해변로 249, 7층 (민락동, 홍윤빌딩)48284지니게스트하우스220180827102326I2018-08-31 23:59:59.0<NA>393213.33657186059.23575관광숙박업<NA>일반상업지역10기타<NA><NA>숙박시설1017<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>208.14<NA><NA><NA><NA><NA><NA><NA><NA>150000000<NA><NA><NA>208호스텔업<NA>
12관광숙박업03_11_01_P3300000CDFI226003198700000119870307201902204취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>051-552-9511<NA>607833부산광역시 동래구 온천동 210-82번지부산광역시 동래구 금강로 110 (온천동)<NA>동방관광호텔20190311142043U2019-03-13 02:40:00.0<NA>389291.717213192996.253436관광숙박업관광사업<NA>10<NA><NA><NA>숙박시설82403735<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>
23관광숙박업03_11_01_P3330000CDFI226003201400000420140731<NA>3폐업3폐업20190522<NA><NA><NA><NA><NA>612040부산광역시 해운대구 송정동 312-6번지 프롬 게스트하우스 3,4동부산광역시 해운대구 송정광어골로 15-1, 3,4층 (송정동, 프롬 게스트하우스)48073프롬 게스트하우스20190522162143U2019-05-24 02:40:00.0<NA>400211.697272188918.077386관광숙박업<NA>준주거지역5기타<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>656.26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>656호스텔업<NA>
34관광숙박업03_11_01_P3330000CDFI226003201400000220140623<NA>3폐업3폐업20200323<NA><NA><NA>051-913-0804<NA>612889부산광역시 해운대구 우동 1510번지 센텀드림월드부산광역시 해운대구 센텀2로 25, 14층 (우동, 센텀드림월드)48060스테이7 센텀 비지니스 호스텔20200323154223U2020-03-25 02:40:00.0<NA>394259.857138187389.720344관광숙박업<NA>일반상업지역14유흥업소밀집지역<NA><NA><NA><NA><NA>23<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>797.27<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>797호스텔업<NA>
45관광숙박업03_11_01_P3330000CDFI226003201700000720170607<NA>3폐업3폐업20190701<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 648-9번지부산광역시 해운대구 해운대해변로209번가길 25 (우동, 노비오스모텔)48093ARK BLUE HOTEL20191209172321U2019-12-11 02:40:00.0<NA>396428.114069186620.794349관광숙박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>270.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>270호스텔업<NA>
56관광숙박업03_11_01_P3330000CDFI226003201700000620170417<NA>3폐업3폐업20191029<NA><NA><NA>051 731 2120<NA><NA>부산광역시 해운대구 우동 626-14번지부산광역시 해운대구 해운대로570번길 55 (우동, 스카이비치)48094문동이네20191029094343U2019-10-31 02:40:00.0<NA>396749.296704186683.351832관광숙박업<NA>일반상업지역6<NA><NA><NA>근린생활시설<NA><NA>8334<NA><NA><NA><NA><NA><NA><NA><NA><NA>334.0<NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA>334호스텔업<NA>
67관광숙박업03_11_01_P3330000CDFI226003201500000920151210<NA>3폐업3폐업20170921<NA><NA><NA>051 744 4514<NA><NA>부산광역시 해운대구 중동부산광역시 해운대구 해운대해변로 315, 11~14층 (중동, 메리얼타워)48095메리얼 관광호텔20170921163840I2018-08-31 23:59:59.0<NA>397148.05247186910.164106관광숙박업<NA>일반상업지역17학교정화(상대)<NA><NA>숙박시설143<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>400000000<NA><NA><NA><NA>관광호텔업<NA>
78관광숙박업03_11_01_P3330000CDFI226003201500000620150827<NA>3폐업3폐업20170913<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동부산광역시 해운대구 달맞이길 193, 2층 (중동)48115썬앤문 게스트하우스20180628131922I2018-08-31 23:59:59.0<NA>398791.041408186530.146494관광숙박업<NA>일반주거지역<NA>주택가주변<NA><NA>숙박시설2<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>호스텔업<NA>
89관광숙박업03_11_01_P3330000CDFI226003201500000220150522<NA>3폐업3폐업20190702<NA><NA><NA><NA><NA>612040부산광역시 해운대구 송정동 288-4번지부산광역시 해운대구 송정해변로 10 (송정동)48072플랫비(FLAT B)20190702161253U2019-07-04 02:40:00.0<NA>400768.055657189089.148394관광숙박업<NA>일반상업지역5<NA><NA><NA>숙박시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>793.23<NA><NA><NA><NA><NA><NA><NA><NA>70000000<NA><NA><NA>793호스텔업<NA>
910관광숙박업03_11_01_P3330000CDFI226003201400000520140814<NA>3폐업3폐업20170313<NA><NA><NA><NA><NA>612821부산광역시 해운대구 우동 646-10번지 해운대비지니스호텔 GT부산광역시 해운대구 해운대해변로221번길 19 (우동, 해운대비지니스호텔 GT)48093(주)아이액츠지티호텔[해운대비지니스호텔GT]20170313162154I2018-08-31 23:59:59.0<NA>396389.836404186703.403767관광숙박업<NA>일반상업지역9유흥업소밀집지역<NA><NA><NA>90<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>관광호텔업<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명Unnamed: 64
243244관광숙박업03_11_01_P3250000CDFI226003201600000120161229<NA>1영업/정상13영업중<NA><NA><NA><NA>051-462-8008<NA><NA>부산광역시 중구 중앙동4가 52-8번지부산광역시 중구 해관로 79-1 (중앙동4가, 반달호텔)48928반달호텔20191205174136U2019-12-07 02:40:00.0<NA>385488.794607180448.886029관광숙박업<NA>일반상업지역<NA><NA><NA>삼성화재<NA><NA><NA>28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>994.0<NA><NA><NA><NA><NA><NA><NA><NA>4800000000<NA><NA><NA>994소형호텔업<NA>
244245관광숙박업03_11_01_P3250000CDFI226003197400000119740613<NA>1영업/정상13영업중<NA><NA><NA><NA>051-466-9101<NA>600811부산광역시 중구 영주동 742-13부산광역시 중구 중구로 151 (영주동)48912(주)코모도호텔20201031171251U2020-11-03 02:40:00.0<NA>385475.54305180776.20099관광숙박업관광사업<NA>18<NA><NA><NA>숙박시설153312<NA>COMMODORET0URIST ACCOMMODATION(TOURIST HOTEL)<NA><NA><NA><NA><NA><NA><NA>27553.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27553관광호텔업<NA>
245246관광숙박업03_11_01_P3250000CDFI226003201800000120180109<NA>1영업/정상13영업중<NA><NA><NA><NA>051-464-8532<NA><NA>부산광역시 중구 대청동2가 7-1부산광역시 중구 대청로 107 (대청동2가)48933넘버25호텔 대청점20201226162009U2020-12-29 02:40:00.0<NA>385176.391701180113.825158관광숙박업<NA><NA>8<NA><NA><NA><NA>6260<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4277.42<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4277관광호텔업<NA>
246247관광숙박업03_11_01_P3250000CDFI226003201700000220170814<NA>1영업/정상13영업중<NA><NA><NA><NA>051-795-7700<NA><NA>부산광역시 중구 남포동5가 56-1번지부산광역시 중구 구덕로 53 (남포동5가)48983스탠포드 인 부산20200120134434U2020-01-22 02:40:00.0<NA>385027.185256179533.7497관광숙박업<NA>일반상업지역17<NA><NA><NA><NA>152132<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4437.88<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4438관광호텔업<NA>
247248관광숙박업03_11_01_P3250000CDFI226003201700000120170324<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 영주동 20-10부산광역시 중구 초량중로 8-1, 2층 (영주동)48911첵앤아웃호스텔20201226162114U2020-12-29 02:40:00.0<NA>385580.190351181198.150721관광숙박업<NA>상업지역2<NA><NA>동부화재 재난배상책임보험숙박시설2<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60.65<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>61호스텔업<NA>
248249관광숙박업03_11_01_P3250000CDFI226003200800000120080416<NA>1영업/정상13영업중<NA><NA><NA><NA>051-442-1045<NA><NA>부산광역시 중구 대창동1가 22-4부산광역시 중구 중앙대로 125 (대창동1가)48924토요코인부산역Ⅱ20201226161909U2020-12-29 02:40:00.0<NA>385610.773395180783.859472관광숙박업관광사업<NA>25<NA><NA><NA><NA>232491<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12168.64<NA><NA><NA><NA><NA><NA><NA><NA>35300000000<NA><NA><NA>12169관광호텔업<NA>
249250관광숙박업03_11_01_P3250000CDFI226003198900000119890111<NA>1영업/정상13영업중<NA><NA><NA><NA>051-253-0371<NA>600045부산광역시 중구 남포동5가 80-1부산광역시 중구 자갈치로47번길 3-1 (남포동5가)48983호텔노아20201226161849U2020-12-29 02:40:00.0<NA>384966.283935179482.336623관광숙박업관광사업<NA>10<NA><NA><NA><NA>9151<NA>CORP. KYUNG WON, HOTEL NOAHTOURIST ACCOMMODATION(TOURIST HOTEL)<NA><NA><NA><NA><NA><NA><NA>3186.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3187관광호텔업<NA>
250251관광숙박업03_11_01_P3250000CDFI226003197800000119780515<NA>1영업/정상13영업중<NA><NA><NA><NA>051-250-6002<NA><NA>부산광역시 중구 동광동3가 20부산광역시 중구 백산길 20 (동광동3가, 타워호텔)48951타워힐관광호텔20201226161825U2020-12-29 02:40:00.0<NA>385421.890633179905.806117관광숙박업관광사업<NA>7<NA><NA><NA><NA>61116<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5658.34<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5658관광호텔업<NA>
251252관광숙박업03_11_01_P3250000CDFI226003197400000219740907<NA>1영업/정상13영업중<NA><NA><NA><NA>051-241-4301<NA>600022부산광역시 중구 동광동2가 12-1부산광역시 중구 광복로97번길 23 (동광동2가)48951(주)부산관광호텔20201226162040U2020-12-29 02:40:00.0<NA>385447.404485179824.590338관광숙박업관광사업<NA>14<NA><NA><NA><NA>14<NA>273<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16395.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16395관광호텔업<NA>
252253관광숙박업03_11_01_P3250000CDFI226003201900000120191112<NA>1영업/정상13영업중<NA><NA><NA><NA>051-246-3657<NA><NA>부산광역시 중구 중앙동1가 21-12번지부산광역시 중구 중앙대로41번길 3-1 (중앙동1가)48957수이호스텔20191206093553U2019-12-08 02:40:00.0<NA>385574.520466179902.860301관광숙박업<NA>일반상업지역5<NA><NA>현대해상숙박시설5<NA>7530<NA><NA><NA><NA><NA><NA><NA><NA><NA>530.39<NA><NA><NA><NA><NA><NA><NA><NA>1500000000<NA><NA><NA>530호스텔업<NA>