Overview

Dataset statistics

Number of variables36
Number of observations107
Missing cells1248
Missing cells (%)32.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.9 KiB
Average record size in memory305.2 B

Variable types

Categorical14
DateTime5
Unsupported5
Text7
Numeric5

Dataset

Description자동차 야영(캠핑)장 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=VX0NPRS1XNZKXX0T43DD27871802&infSeq=1

Alerts

문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (62.0%)Imbalance
영업상태명 is highly imbalanced (62.0%)Imbalance
상세영업상태구분코드 is highly imbalanced (62.0%)Imbalance
상세영업상태명 is highly imbalanced (62.0%)Imbalance
건물용도명 is highly imbalanced (53.0%)Imbalance
인허가취소일자 has 107 (100.0%) missing valuesMissing
폐업일자 has 95 (88.8%) missing valuesMissing
휴업시작일자 has 104 (97.2%) missing valuesMissing
휴업종료일자 has 104 (97.2%) missing valuesMissing
재개업일자 has 107 (100.0%) missing valuesMissing
도로명전체주소 has 9 (8.4%) missing valuesMissing
소재지우편번호 has 77 (72.0%) missing valuesMissing
소재지전화 has 73 (68.2%) missing valuesMissing
소재지면적 has 107 (100.0%) missing valuesMissing
건축연면적 has 46 (43.0%) missing valuesMissing
시설면적 has 16 (15.0%) missing valuesMissing
문화사업자구분명 has 106 (99.1%) missing valuesMissing
보험기관명 has 81 (75.7%) missing valuesMissing
보험시작일자 has 107 (100.0%) missing valuesMissing
보험종료일자 has 107 (100.0%) missing valuesMissing
소재지전체주소 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 has 38 (35.5%) zerosZeros
시설면적 has 10 (9.3%) zerosZeros

Reproduction

Analysis started2023-12-10 21:38:54.945799
Analysis finished2023-12-10 21:38:55.639605
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct20
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
가평군
15 
연천군
15 
안성시
14 
양평군
11 
포천시
10 
Other values (15)
42 

Length

Max length4
Median length3
Mean length3.0560748
Min length3

Unique

Unique4 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
가평군 15
14.0%
연천군 15
14.0%
안성시 14
13.1%
양평군 11
10.3%
포천시 10
9.3%
파주시 7
 
6.5%
화성시 5
 
4.7%
남양주시 4
 
3.7%
양주시 4
 
3.7%
여주시 4
 
3.7%
Other values (10) 18
16.8%

Length

2023-12-11T06:38:55.703965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 15
14.0%
연천군 15
14.0%
안성시 14
13.1%
양평군 11
10.3%
포천시 10
9.3%
파주시 7
 
6.5%
화성시 5
 
4.7%
남양주시 4
 
3.7%
양주시 4
 
3.7%
여주시 4
 
3.7%
Other values (10) 18
16.8%

관리번호
Categorical

Distinct34
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
CDFI2262142015000001
10 
CDFI2262142015000002
 
7
CDFI2262142016000001
 
7
CDFI2262142013000001
 
7
CDFI2262142018000001
 
6
Other values (29)
70 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique11 ?
Unique (%)10.3%

Sample

1st rowCDFI2262142022000002
2nd rowCDFI2262142015000002
3rd rowCDFI2262142021000002
4th rowCDFI2262142021000005
5th rowCDFI2262142015000005

Common Values

ValueCountFrequency (%)
CDFI2262142015000001 10
 
9.3%
CDFI2262142015000002 7
 
6.5%
CDFI2262142016000001 7
 
6.5%
CDFI2262142013000001 7
 
6.5%
CDFI2262142018000001 6
 
5.6%
CDFI2262142017000001 6
 
5.6%
CDFI2262142015000003 6
 
5.6%
CDFI2262142022000002 5
 
4.7%
CDFI2262142021000001 5
 
4.7%
CDFI2262142017000002 4
 
3.7%
Other values (24) 44
41.1%

Length

2023-12-11T06:38:55.810098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfi2262142015000001 10
 
9.3%
cdfi2262142016000001 7
 
6.5%
cdfi2262142013000001 7
 
6.5%
cdfi2262142015000002 7
 
6.5%
cdfi2262142018000001 6
 
5.6%
cdfi2262142017000001 6
 
5.6%
cdfi2262142015000003 6
 
5.6%
cdfi2262142022000002 5
 
4.7%
cdfi2262142021000001 5
 
4.7%
cdfi2262142019000001 4
 
3.7%
Other values (24) 44
41.1%

인허가일자
Date

Distinct104
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2007-06-28 00:00:00
Maximum2023-11-28 00:00:00
2023-12-11T06:38:55.934284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:56.116687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
13
91 
3
12 
2
 
3
31
 
1

Length

Max length2
Median length2
Mean length1.8598131
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 91
85.0%
3 12
 
11.2%
2 3
 
2.8%
31 1
 
0.9%

Length

2023-12-11T06:38:56.233513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:38:56.324266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 91
85.0%
3 12
 
11.2%
2 3
 
2.8%
31 1
 
0.9%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
영업중
91 
폐업
12 
휴업
 
3
등록취소
 
1

Length

Max length4
Median length3
Mean length2.8691589
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 91
85.0%
폐업 12
 
11.2%
휴업 3
 
2.8%
등록취소 1
 
0.9%

Length

2023-12-11T06:38:56.450709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:38:56.580755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 91
85.0%
폐업 12
 
11.2%
휴업 3
 
2.8%
등록취소 1
 
0.9%

상세영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
1
91 
3
12 
2
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 91
85.0%
3 12
 
11.2%
2 3
 
2.8%
4 1
 
0.9%

Length

2023-12-11T06:38:56.748692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:38:56.848001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 91
85.0%
3 12
 
11.2%
2 3
 
2.8%
4 1
 
0.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
영업/정상
91 
폐업
12 
휴업
 
3
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.6635514
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 91
85.0%
폐업 12
 
11.2%
휴업 3
 
2.8%
취소/말소/만료/정지/중지 1
 
0.9%

Length

2023-12-11T06:38:56.980699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:38:57.081918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 91
85.0%
폐업 12
 
11.2%
휴업 3
 
2.8%
취소/말소/만료/정지/중지 1
 
0.9%

폐업일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing95
Missing (%)88.8%
Memory size988.0 B
Minimum2007-10-09 00:00:00
Maximum2023-03-29 00:00:00
2023-12-11T06:38:57.188352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:57.535116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing104
Missing (%)97.2%
Memory size988.0 B
Minimum2021-04-01 00:00:00
Maximum2023-07-18 00:00:00
2023-12-11T06:38:57.638383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:57.734582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)66.7%
Missing104
Missing (%)97.2%
Memory size988.0 B
Minimum2022-03-30 00:00:00
Maximum2023-12-31 00:00:00
2023-12-11T06:38:57.835053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:57.932311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

사업장명
Text

Distinct105
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-11T06:38:58.198490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.7570093
Min length2

Characters and Unicode

Total characters937
Distinct characters242
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)97.2%

Sample

1st row가평더캠프카라반글램핑
2nd row국립유명산자연휴양림
3rd row마운틴하이
4th row메기의 추억
5th row별드림캠핑장
ValueCountFrequency (%)
캠핑장 18
 
10.0%
오토캠핑장 9
 
5.0%
야영장 4
 
2.2%
한탄강관광지오토캠핑장 3
 
1.7%
오토 3
 
1.7%
글램핑장 2
 
1.1%
자동차야영장 2
 
1.1%
가족캠핑장 2
 
1.1%
카라반 2
 
1.1%
가래골농원 2
 
1.1%
Other values (132) 133
73.9%
2023-12-11T06:38:58.642134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
캠 74
 
7.9%
73
 
7.8%
장 70
 
7.5%
핑 69
 
7.4%
토 30
 
3.2%
오 24
 
2.6%
리 15
 
1.6%
원 13
 
1.4%
프 10
 
1.1%
산 10
 
1.1%
Other values (232) 549
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 805
85.9%
Space Separator 73
 
7.8%
Uppercase Letter 25
 
2.7%
Decimal Number 12
 
1.3%
Lowercase Letter 11
 
1.2%
Close Punctuation 5
 
0.5%
Open Punctuation 5
 
0.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
캠 74
 
9.2%
장 70
 
8.7%
핑 69
 
8.6%
토 30
 
3.7%
오 24
 
3.0%
리 15
 
1.9%
원 13
 
1.6%
프 10
 
1.2%
산 10
 
1.2%
성 9
 
1.1%
Other values (199) 481
59.8%
Uppercase Letter
ValueCountFrequency (%)
A 5
20.0%
R 5
20.0%
M 2
 
8.0%
C 2
 
8.0%
V 2
 
8.0%
S 2
 
8.0%
Y 1
 
4.0%
T 1
 
4.0%
O 1
 
4.0%
E 1
 
4.0%
Other values (3) 3
12.0%
Decimal Number
ValueCountFrequency (%)
6 3
25.0%
3 2
16.7%
2 2
16.7%
4 1
 
8.3%
7 1
 
8.3%
0 1
 
8.3%
5 1
 
8.3%
9 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
18.2%
e 2
18.2%
l 2
18.2%
n 1
9.1%
w 1
9.1%
r 1
9.1%
a 1
9.1%
t 1
9.1%
Space Separator
ValueCountFrequency (%)
73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
→ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 805
85.9%
Common 96
 
10.2%
Latin 36
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
캠 74
 
9.2%
장 70
 
8.7%
핑 69
 
8.6%
토 30
 
3.7%
오 24
 
3.0%
리 15
 
1.9%
원 13
 
1.6%
프 10
 
1.2%
산 10
 
1.2%
성 9
 
1.1%
Other values (199) 481
59.8%
Latin
ValueCountFrequency (%)
A 5
13.9%
R 5
13.9%
M 2
 
5.6%
C 2
 
5.6%
V 2
 
5.6%
s 2
 
5.6%
e 2
 
5.6%
S 2
 
5.6%
l 2
 
5.6%
Y 1
 
2.8%
Other values (11) 11
30.6%
Common
ValueCountFrequency (%)
73
76.0%
) 5
 
5.2%
( 5
 
5.2%
6 3
 
3.1%
3 2
 
2.1%
2 2
 
2.1%
4 1
 
1.0%
7 1
 
1.0%
0 1
 
1.0%
5 1
 
1.0%
Other values (2) 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 805
85.9%
ASCII 131
 
14.0%
Arrows 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
캠 74
 
9.2%
장 70
 
8.7%
핑 69
 
8.6%
토 30
 
3.7%
오 24
 
3.0%
리 15
 
1.9%
원 13
 
1.6%
프 10
 
1.2%
산 10
 
1.2%
성 9
 
1.1%
Other values (199) 481
59.8%
ASCII
ValueCountFrequency (%)
73
55.7%
) 5
 
3.8%
( 5
 
3.8%
A 5
 
3.8%
R 5
 
3.8%
6 3
 
2.3%
M 2
 
1.5%
C 2
 
1.5%
V 2
 
1.5%
3 2
 
1.5%
Other values (22) 27
 
20.6%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

좌표정보(X)
Real number (ℝ)

Distinct105
Distinct (%)99.1%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean37.609975
Minimum36.937197
Maximum38.19778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T06:38:58.800089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.937197
5-th percentile37.033897
Q137.287594
median37.673164
Q337.935304
95-th percentile38.061516
Maximum38.19778
Range1.2605821
Interquartile range (IQR)0.64771064

Descriptive statistics

Standard deviation0.35477761
Coefficient of variation (CV)0.0094330722
Kurtosis-1.1427211
Mean37.609975
Median Absolute Deviation (MAD)0.29303143
Skewness-0.32337752
Sum3986.6573
Variance0.12586715
MonotonicityNot monotonic
2023-12-11T06:38:58.964138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.00873 2
 
1.9%
37.668829574 1
 
0.9%
37.1592024222 1
 
0.9%
37.2607276174 1
 
0.9%
38.0185023712 1
 
0.9%
38.0088794383 1
 
0.9%
38.0963885 1
 
0.9%
37.9853700344 1
 
0.9%
38.0194255761 1
 
0.9%
38.1977796051 1
 
0.9%
Other values (95) 95
88.8%
ValueCountFrequency (%)
36.937197477 1
0.9%
36.9394179 1
0.9%
36.961364 1
0.9%
36.9737045507 1
0.9%
37.0101680835 1
0.9%
37.0298580989 1
0.9%
37.0460137515 1
0.9%
37.0527347449 1
0.9%
37.0553244003 1
0.9%
37.060275878 1
0.9%
ValueCountFrequency (%)
38.1977796051 1
0.9%
38.0963885 1
0.9%
38.0892074643 1
0.9%
38.0772268577 1
0.9%
38.0767573293 1
0.9%
38.0645002275 1
0.9%
38.0525627 1
0.9%
38.0523794103 1
0.9%
38.0497926607 1
0.9%
38.0413727 1
0.9%

좌표정보(Y)
Real number (ℝ)

Distinct105
Distinct (%)99.1%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean127.22311
Minimum126.64548
Maximum127.76109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T06:38:59.153741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64548
5-th percentile126.74798
Q1127.02324
median127.2374
Q3127.44493
95-th percentile127.70669
Maximum127.76109
Range1.1156178
Interquartile range (IQR)0.42169555

Descriptive statistics

Standard deviation0.28643721
Coefficient of variation (CV)0.0022514558
Kurtosis-0.79041251
Mean127.22311
Median Absolute Deviation (MAD)0.21385124
Skewness-0.1052911
Sum13485.649
Variance0.082046273
MonotonicityNot monotonic
2023-12-11T06:38:59.308601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0586757 2
 
1.9%
127.5036852278 1
 
0.9%
127.2955406918 1
 
0.9%
127.2527275643 1
 
0.9%
126.9708208926 1
 
0.9%
127.0588638619 1
 
0.9%
127.0749987 1
 
0.9%
126.8865260729 1
 
0.9%
126.9777410502 1
 
0.9%
127.1246623677 1
 
0.9%
Other values (95) 95
88.8%
ValueCountFrequency (%)
126.6454752338 1
0.9%
126.6527656974 1
0.9%
126.6528544158 1
0.9%
126.6553350452 1
0.9%
126.7217380492 1
0.9%
126.7442319238 1
0.9%
126.7592048685 1
0.9%
126.7631808 1
0.9%
126.8010662246 1
0.9%
126.8099722144 1
0.9%
ValueCountFrequency (%)
127.7610929904 1
0.9%
127.7439978695 1
0.9%
127.7418000993 1
0.9%
127.7326354216 1
0.9%
127.7239398884 1
0.9%
127.7093221445 1
0.9%
127.6988071861 1
0.9%
127.6841869567 1
0.9%
127.6055713435 1
0.9%
127.5879972231 1
0.9%

도로명전체주소
Text

MISSING 

Distinct96
Distinct (%)98.0%
Missing9
Missing (%)8.4%
Memory size988.0 B
2023-12-11T06:38:59.542278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32
Mean length23.816327
Min length18

Characters and Unicode

Total characters2334
Distinct characters190
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)96.9%

Sample

1st row경기도 가평군 설악면 한서로156번길 12-62
2nd row경기도 가평군 설악면 유명산길 79-156
3rd row경기도 가평군 청평면 호명리길 58-20
4th row경기도 가평군 조종면 연인산로 296
5th row경기도 가평군 가평읍 당목가일길 515
ValueCountFrequency (%)
경기도 98
 
19.1%
연천군 15
 
2.9%
가평군 14
 
2.7%
안성시 13
 
2.5%
양평군 11
 
2.1%
포천시 10
 
2.0%
미산면 6
 
1.2%
파주시 6
 
1.2%
가평읍 5
 
1.0%
양동면 5
 
1.0%
Other values (272) 329
64.3%
2023-12-11T06:38:59.932636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
415
 
17.8%
1 103
 
4.4%
기 102
 
4.4%
도 100
 
4.3%
경 98
 
4.2%
면 72
 
3.1%
로 69
 
3.0%
2 68
 
2.9%
시 59
 
2.5%
- 54
 
2.3%
Other values (180) 1194
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1369
58.7%
Decimal Number 448
 
19.2%
Space Separator 415
 
17.8%
Dash Punctuation 54
 
2.3%
Open Punctuation 17
 
0.7%
Close Punctuation 17
 
0.7%
Other Punctuation 10
 
0.4%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 102
 
7.5%
도 100
 
7.3%
경 98
 
7.2%
면 72
 
5.3%
로 69
 
5.0%
시 59
 
4.3%
길 52
 
3.8%
군 41
 
3.0%
평 40
 
2.9%
천 35
 
2.6%
Other values (158) 701
51.2%
Decimal Number
ValueCountFrequency (%)
1 103
23.0%
2 68
15.2%
3 40
 
8.9%
9 37
 
8.3%
5 37
 
8.3%
4 35
 
7.8%
7 35
 
7.8%
6 34
 
7.6%
8 31
 
6.9%
0 28
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 16
94.1%
[ 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 16
94.1%
] 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
* 1
 
10.0%
Space Separator
ValueCountFrequency (%)
415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1369
58.7%
Common 961
41.2%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 102
 
7.5%
도 100
 
7.3%
경 98
 
7.2%
면 72
 
5.3%
로 69
 
5.0%
시 59
 
4.3%
길 52
 
3.8%
군 41
 
3.0%
평 40
 
2.9%
천 35
 
2.6%
Other values (158) 701
51.2%
Common
ValueCountFrequency (%)
415
43.2%
1 103
 
10.7%
2 68
 
7.1%
- 54
 
5.6%
3 40
 
4.2%
9 37
 
3.9%
5 37
 
3.9%
4 35
 
3.6%
7 35
 
3.6%
6 34
 
3.5%
Other values (8) 103
 
10.7%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1369
58.7%
ASCII 965
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
415
43.0%
1 103
 
10.7%
2 68
 
7.0%
- 54
 
5.6%
3 40
 
4.1%
9 37
 
3.8%
5 37
 
3.8%
4 35
 
3.6%
7 35
 
3.6%
6 34
 
3.5%
Other values (12) 107
 
11.1%
Hangul
ValueCountFrequency (%)
기 102
 
7.5%
도 100
 
7.3%
경 98
 
7.2%
면 72
 
5.3%
로 69
 
5.0%
시 59
 
4.3%
길 52
 
3.8%
군 41
 
3.0%
평 40
 
2.9%
천 35
 
2.6%
Other values (158) 701
51.2%

도로명우편번호
Real number (ℝ)

Distinct90
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13258.963
Minimum10013
Maximum18588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T06:39:00.084848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10013
5-th percentile10820.1
Q111109
median12436
Q315518.5
95-th percentile17877.8
Maximum18588
Range8575
Interquartile range (IQR)4409.5

Descriptive statistics

Standard deviation2628.2841
Coefficient of variation (CV)0.19822698
Kurtosis-0.74535645
Mean13258.963
Median Absolute Deviation (MAD)1333
Skewness0.9278329
Sum1418709
Variance6907877.1
MonotonicityNot monotonic
2023-12-11T06:39:00.253086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11134 3
 
2.8%
11027 3
 
2.8%
11047 3
 
2.8%
12428 2
 
1.9%
10801 2
 
1.9%
11050 2
 
1.9%
11046 2
 
1.9%
10013 2
 
1.9%
11103 2
 
1.9%
12527 2
 
1.9%
Other values (80) 84
78.5%
ValueCountFrequency (%)
10013 2
1.9%
10801 2
1.9%
10808 1
0.9%
10809 1
0.9%
10846 1
0.9%
10909 1
0.9%
10953 1
0.9%
11000 1
0.9%
11017 1
0.9%
11018 1
0.9%
ValueCountFrequency (%)
18588 1
0.9%
18570 1
0.9%
18545 1
0.9%
18288 1
0.9%
18253 1
0.9%
17948 1
0.9%
17714 1
0.9%
17607 1
0.9%
17538 1
0.9%
17537 2
1.9%

소재지전체주소
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-11T06:39:00.521281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length60
Mean length24.635514
Min length15

Characters and Unicode

Total characters2636
Distinct characters168
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 설악면 창의리 411-7
2nd row경기도 가평군 설악면 가일리 산 58-1
3rd row경기도 가평군 청평면 호명리 177-2
4th row경기도 가평군 조종면 신하리 48
5th row경기도 가평군 가평읍 개곡리 198-1번지
ValueCountFrequency (%)
경기도 107
 
18.4%
가평군 15
 
2.6%
연천군 15
 
2.6%
안성시 14
 
2.4%
양평군 11
 
1.9%
포천시 10
 
1.7%
외 8
 
1.4%
파주시 7
 
1.2%
가평읍 6
 
1.0%
미산면 6
 
1.0%
Other values (300) 383
65.8%
2023-12-11T06:39:00.950377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
566
21.5%
1 115
 
4.4%
도 111
 
4.2%
기 109
 
4.1%
경 108
 
4.1%
- 101
 
3.8%
리 96
 
3.6%
면 76
 
2.9%
2 75
 
2.8%
시 66
 
2.5%
Other values (158) 1213
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1413
53.6%
Space Separator 566
21.5%
Decimal Number 512
 
19.4%
Dash Punctuation 101
 
3.8%
Other Punctuation 26
 
1.0%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 111
 
7.9%
기 109
 
7.7%
경 108
 
7.6%
리 96
 
6.8%
면 76
 
5.4%
시 66
 
4.7%
군 42
 
3.0%
평 42
 
3.0%
지 39
 
2.8%
산 34
 
2.4%
Other values (137) 690
48.8%
Decimal Number
ValueCountFrequency (%)
1 115
22.5%
2 75
14.6%
3 62
12.1%
6 44
 
8.6%
4 41
 
8.0%
7 40
 
7.8%
5 39
 
7.6%
8 38
 
7.4%
0 31
 
6.1%
9 27
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
M 1
25.0%
C 1
25.0%
Y 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 21
80.8%
. 4
 
15.4%
: 1
 
3.8%
Space Separator
ValueCountFrequency (%)
566
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1413
53.6%
Common 1219
46.2%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 111
 
7.9%
기 109
 
7.7%
경 108
 
7.6%
리 96
 
6.8%
면 76
 
5.4%
시 66
 
4.7%
군 42
 
3.0%
평 42
 
3.0%
지 39
 
2.8%
산 34
 
2.4%
Other values (137) 690
48.8%
Common
ValueCountFrequency (%)
566
46.4%
1 115
 
9.4%
- 101
 
8.3%
2 75
 
6.2%
3 62
 
5.1%
6 44
 
3.6%
4 41
 
3.4%
7 40
 
3.3%
5 39
 
3.2%
8 38
 
3.1%
Other values (7) 98
 
8.0%
Latin
ValueCountFrequency (%)
A 1
25.0%
M 1
25.0%
C 1
25.0%
Y 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1413
53.6%
ASCII 1223
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
566
46.3%
1 115
 
9.4%
- 101
 
8.3%
2 75
 
6.1%
3 62
 
5.1%
6 44
 
3.6%
4 41
 
3.4%
7 40
 
3.3%
5 39
 
3.2%
8 38
 
3.1%
Other values (11) 102
 
8.3%
Hangul
ValueCountFrequency (%)
도 111
 
7.9%
기 109
 
7.7%
경 108
 
7.6%
리 96
 
6.8%
면 76
 
5.4%
시 66
 
4.7%
군 42
 
3.0%
평 42
 
3.0%
지 39
 
2.8%
산 34
 
2.4%
Other values (137) 690
48.8%

소재지우편번호
Text

MISSING 

Distinct28
Distinct (%)93.3%
Missing77
Missing (%)72.0%
Memory size988.0 B
2023-12-11T06:39:01.150350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3
Min length6

Characters and Unicode

Total characters189
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)90.0%

Sample

1st row477851
2nd row477804
3rd row477803
4th row477-843
5th row477813
ValueCountFrequency (%)
486903 3
 
10.0%
477851 1
 
3.3%
476852 1
 
3.3%
487-891 1
 
3.3%
487912 1
 
3.3%
487896 1
 
3.3%
451-864 1
 
3.3%
413835 1
 
3.3%
413851 1
 
3.3%
449873 1
 
3.3%
Other values (18) 18
60.0%
2023-12-11T06:39:01.503283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 38
20.1%
8 33
17.5%
6 20
10.6%
7 20
10.6%
3 17
9.0%
1 13
 
6.9%
9 11
 
5.8%
5 10
 
5.3%
2 10
 
5.3%
- 9
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 180
95.2%
Dash Punctuation 9
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 38
21.1%
8 33
18.3%
6 20
11.1%
7 20
11.1%
3 17
9.4%
1 13
 
7.2%
9 11
 
6.1%
5 10
 
5.6%
2 10
 
5.6%
0 8
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 189
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 38
20.1%
8 33
17.5%
6 20
10.6%
7 20
10.6%
3 17
9.0%
1 13
 
6.9%
9 11
 
5.8%
5 10
 
5.3%
2 10
 
5.3%
- 9
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 38
20.1%
8 33
17.5%
6 20
10.6%
7 20
10.6%
3 17
9.0%
1 13
 
6.9%
9 11
 
5.8%
5 10
 
5.3%
2 10
 
5.3%
- 9
 
4.8%

소재지전화
Text

MISSING 

Distinct33
Distinct (%)97.1%
Missing73
Missing (%)68.2%
Memory size988.0 B
2023-12-11T06:39:01.733018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.5
Min length8

Characters and Unicode

Total characters391
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)94.1%

Sample

1st row031-580-2700
2nd row02-713-1945
3rd row031-550-3788
4th row15998897
5th row031-781-0006
ValueCountFrequency (%)
031-833-0030 2
 
5.3%
031 2
 
5.3%
031-580-2700 1
 
2.6%
03180594763 1
 
2.6%
031-293-9923 1
 
2.6%
0315384552 1
 
2.6%
031-538-3362 1
 
2.6%
0315358585 1
 
2.6%
03180248992 1
 
2.6%
070-8915-2261 1
 
2.6%
Other values (26) 26
68.4%
2023-12-11T06:39:02.063730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55
14.1%
3 55
14.1%
- 46
11.8%
1 43
11.0%
2 32
8.2%
8 30
7.7%
7 29
7.4%
9 29
7.4%
5 28
7.2%
4 21
 
5.4%
Other values (2) 23
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 341
87.2%
Dash Punctuation 46
 
11.8%
Space Separator 4
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
16.1%
3 55
16.1%
1 43
12.6%
2 32
9.4%
8 30
8.8%
7 29
8.5%
9 29
8.5%
5 28
8.2%
4 21
 
6.2%
6 19
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 391
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 55
14.1%
3 55
14.1%
- 46
11.8%
1 43
11.0%
2 32
8.2%
8 30
7.7%
7 29
7.4%
9 29
7.4%
5 28
7.2%
4 21
 
5.4%
Other values (2) 23
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55
14.1%
3 55
14.1%
- 46
11.8%
1 43
11.0%
2 32
8.2%
8 30
7.7%
7 29
7.4%
9 29
7.4%
5 28
7.2%
4 21
 
5.4%
Other values (2) 23
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

건축연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)37.7%
Missing46
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean90.836066
Minimum0
Maximum2426
Zeros38
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T06:39:02.209749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q396
95-th percentile279
Maximum2426
Range2426
Interquartile range (IQR)96

Descriptive statistics

Standard deviation315.79113
Coefficient of variation (CV)3.4764951
Kurtosis51.936356
Mean90.836066
Median Absolute Deviation (MAD)0
Skewness6.9701298
Sum5541
Variance99724.039
MonotonicityNot monotonic
2023-12-11T06:39:02.323745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 38
35.5%
198 2
 
1.9%
2426 1
 
0.9%
23 1
 
0.9%
36 1
 
0.9%
313 1
 
0.9%
142 1
 
0.9%
279 1
 
0.9%
297 1
 
0.9%
46 1
 
0.9%
Other values (13) 13
 
12.1%
(Missing) 46
43.0%
ValueCountFrequency (%)
0 38
35.5%
18 1
 
0.9%
23 1
 
0.9%
36 1
 
0.9%
46 1
 
0.9%
66 1
 
0.9%
71 1
 
0.9%
92 1
 
0.9%
96 1
 
0.9%
99 1
 
0.9%
ValueCountFrequency (%)
2426 1
0.9%
313 1
0.9%
297 1
0.9%
279 1
0.9%
220 1
0.9%
204 1
0.9%
200 1
0.9%
198 2
1.9%
151 1
0.9%
142 1
0.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)90.1%
Missing16
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean8776.5781
Minimum0
Maximum268530
Zeros10
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T06:39:02.449319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1196.215
median3444
Q37851.5
95-th percentile29491.5
Maximum268530
Range268530
Interquartile range (IQR)7655.285

Descriptive statistics

Standard deviation28856.582
Coefficient of variation (CV)3.2879081
Kurtosis74.946504
Mean8776.5781
Median Absolute Deviation (MAD)3332.4
Skewness8.3333406
Sum798668.61
Variance8.3270232 × 108
MonotonicityNot monotonic
2023-12-11T06:39:02.631875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
9.3%
42172.0 1
 
0.9%
3564.0 1
 
0.9%
4602.0 1
 
0.9%
240.0 1
 
0.9%
500.0 1
 
0.9%
400.0 1
 
0.9%
4406.0 1
 
0.9%
16415.0 1
 
0.9%
24806.0 1
 
0.9%
Other values (72) 72
67.3%
(Missing) 16
 
15.0%
ValueCountFrequency (%)
0.0 10
9.3%
50.0 1
 
0.9%
66.0 1
 
0.9%
68.12 1
 
0.9%
71.28 1
 
0.9%
79.2 1
 
0.9%
95.16 1
 
0.9%
99.0 1
 
0.9%
111.22 1
 
0.9%
111.6 1
 
0.9%
ValueCountFrequency (%)
268530.0 1
0.9%
43748.0 1
0.9%
42172.0 1
0.9%
37109.0 1
0.9%
34177.0 1
0.9%
24806.0 1
0.9%
16415.0 1
0.9%
16270.0 1
0.9%
14649.0 1
0.9%
12739.0 1
0.9%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
자동차야영장업
107 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동차야영장업 107
100.0%

Length

2023-12-11T06:39:02.815057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:02.904892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차야영장업 107
100.0%

문화사업자구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing106
Missing (%)99.1%
Memory size988.0 B
2023-12-11T06:39:03.006310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row관광사업
ValueCountFrequency (%)
관광사업 1
100.0%
2023-12-11T06:39:03.299080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 1
25.0%
광 1
25.0%
사 1
25.0%
업 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 1
25.0%
광 1
25.0%
사 1
25.0%
업 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 1
25.0%
광 1
25.0%
사 1
25.0%
업 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 1
25.0%
광 1
25.0%
사 1
25.0%
업 1
25.0%

지역구분명
Categorical

Distinct5
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
55 
관리지역
36 
자연녹지지역
13 
녹지지역
 
2
중심상업지역
 
1

Length

Max length6
Median length4
Mean length4.2616822
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
51.4%
관리지역 36
33.6%
자연녹지지역 13
 
12.1%
녹지지역 2
 
1.9%
중심상업지역 1
 
0.9%

Length

2023-12-11T06:39:03.447878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:03.564817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
51.4%
관리지역 36
33.6%
자연녹지지역 13
 
12.1%
녹지지역 2
 
1.9%
중심상업지역 1
 
0.9%

총층수
Categorical

Distinct6
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
47 
0
35 
1
14 
2
9 
3
 
1

Length

Max length4
Median length1
Mean length2.3271028
Min length1

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row0
2nd row<NA>
3rd row3
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 47
43.9%
0 35
32.7%
1 14
 
13.1%
2 9
 
8.4%
3 1
 
0.9%
12 1
 
0.9%

Length

2023-12-11T06:39:03.685901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:03.785302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
43.9%
0 35
32.7%
1 14
 
13.1%
2 9
 
8.4%
3 1
 
0.9%
12 1
 
0.9%

주변환경명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
72 
기타
35 

Length

Max length4
Median length4
Mean length3.3457944
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 72
67.3%
기타 35
32.7%

Length

2023-12-11T06:39:03.900921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:04.024882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
67.3%
기타 35
32.7%

보험기관명
Text

MISSING 

Distinct15
Distinct (%)57.7%
Missing81
Missing (%)75.7%
Memory size988.0 B
2023-12-11T06:39:04.190643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.7692308
Min length4

Characters and Unicode

Total characters202
Distinct characters34
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)34.6%

Sample

1st row한국지방재정공제회
2nd row삼성화재재해보상
3rd row지방재정공제회
4th row농협손해보험
5th row삼성화재해상보험주식회사
ValueCountFrequency (%)
삼성화재 5
19.2%
농협손해보험주식회사 3
11.5%
현대해상 3
11.5%
한국지방재정공제회 2
 
7.7%
농협손해보험 2
 
7.7%
삼성화재해상보험주식회사 2
 
7.7%
삼성화재재해보상 1
 
3.8%
지방재정공제회 1
 
3.8%
삼성화재해상보험 1
 
3.8%
현대해상화재보험 1
 
3.8%
Other values (5) 5
19.2%
2023-12-11T06:39:04.526056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
재 16
 
7.9%
해 15
 
7.4%
보 14
 
6.9%
험 13
 
6.4%
화 13
 
6.4%
상 12
 
5.9%
삼 10
 
5.0%
성 10
 
5.0%
사 8
 
4.0%
회 8
 
4.0%
Other values (24) 83
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
98.0%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 16
 
8.1%
해 15
 
7.6%
보 14
 
7.1%
험 13
 
6.6%
화 13
 
6.6%
상 12
 
6.1%
삼 10
 
5.1%
성 10
 
5.1%
사 8
 
4.0%
회 8
 
4.0%
Other values (22) 79
39.9%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
98.0%
Common 4
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 16
 
8.1%
해 15
 
7.6%
보 14
 
7.1%
험 13
 
6.6%
화 13
 
6.6%
상 12
 
6.1%
삼 10
 
5.1%
성 10
 
5.1%
사 8
 
4.0%
회 8
 
4.0%
Other values (22) 79
39.9%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
98.0%
ASCII 4
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
재 16
 
8.1%
해 15
 
7.6%
보 14
 
7.1%
험 13
 
6.6%
화 13
 
6.6%
상 12
 
6.1%
삼 10
 
5.1%
성 10
 
5.1%
사 8
 
4.0%
회 8
 
4.0%
Other values (22) 79
39.9%
ASCII
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

건물용도명
Categorical

IMBALANCE 

Distinct8
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
76 
기타
17 
근린생활시설
8 
숙박시설
 
2
복지시설
 
1
Other values (3)
 
3

Length

Max length6
Median length4
Mean length3.7850467
Min length2

Unique

Unique4 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
71.0%
기타 17
 
15.9%
근린생활시설 8
 
7.5%
숙박시설 2
 
1.9%
복지시설 1
 
0.9%
호텔 1
 
0.9%
사무실 1
 
0.9%
창고 1
 
0.9%

Length

2023-12-11T06:39:04.667256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:04.786707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
71.0%
기타 17
 
15.9%
근린생활시설 8
 
7.5%
숙박시설 2
 
1.9%
복지시설 1
 
0.9%
호텔 1
 
0.9%
사무실 1
 
0.9%
창고 1
 
0.9%

지상층수
Categorical

Distinct6
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
45 
0
35 
1
16 
2
9 
3
 
1

Length

Max length4
Median length1
Mean length2.2616822
Min length1

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row0
2nd row<NA>
3rd row3
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
42.1%
0 35
32.7%
1 16
 
15.0%
2 9
 
8.4%
3 1
 
0.9%
8 1
 
0.9%

Length

2023-12-11T06:39:04.911143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:05.036991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
42.1%
0 35
32.7%
1 16
 
15.0%
2 9
 
8.4%
3 1
 
0.9%
8 1
 
0.9%

지하층수
Categorical

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
0
53 
<NA>
52 
1
 
1
4
 
1

Length

Max length4
Median length1
Mean length2.4579439
Min length1

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row0
2nd row<NA>
3rd row1
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 53
49.5%
<NA> 52
48.6%
1 1
 
0.9%
4 1
 
0.9%

Length

2023-12-11T06:39:05.158730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:05.267146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 53
49.5%
na 52
48.6%
1 1
 
0.9%
4 1
 
0.9%

객실수
Categorical

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
56 
0
49 
6
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.5700935
Min length1

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
52.3%
0 49
45.8%
6 1
 
0.9%
3 1
 
0.9%

Length

2023-12-11T06:39:05.376454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:05.490762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
52.3%
0 49
45.8%
6 1
 
0.9%
3 1
 
0.9%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

최종수정시점
Date

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2007-10-09 13:08:32
Maximum2023-12-01 10:05:59
2023-12-11T06:39:05.673378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:06.078128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

시군명관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태구분코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자사업장명좌표정보(X)좌표정보(Y)도로명전체주소도로명우편번호소재지전체주소소재지우편번호소재지전화소재지면적건축연면적시설면적문화체육업종명문화사업자구분명지역구분명총층수주변환경명보험기관명건물용도명지상층수지하층수객실수보험시작일자보험종료일자최종수정시점
0가평군CDFI226214202200000220221102<NA>13영업중1영업/정상<NA><NA><NA><NA>가평더캠프카라반글램핑37.66883127.503685경기도 가평군 설악면 한서로156번길 12-6212464경기도 가평군 설악면 창의리 411-7<NA><NA><NA>02483.0자동차야영장업<NA>관리지역0기타<NA><NA>000<NA><NA>20221102175645
1가평군CDFI226214201500000220150713<NA>13영업중1영업/정상<NA><NA><NA><NA>국립유명산자연휴양림37.58997127.490508경기도 가평군 설악면 유명산길 79-15612473경기도 가평군 설악면 가일리 산 58-1477851<NA><NA><NA><NA>자동차야영장업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200731091641
2가평군CDFI226214202100000220210305<NA>13영업중1영업/정상<NA><NA><NA><NA>마운틴하이37.720452127.462646경기도 가평군 청평면 호명리길 58-2012455경기도 가평군 청평면 호명리 177-2<NA><NA><NA><NA>1657.0자동차야영장업<NA>자연녹지지역3기타<NA>숙박시설31<NA><NA><NA>20210305092925
3가평군CDFI226214202100000520211109<NA>13영업중1영업/정상<NA><NA><NA><NA>메기의 추억37.837879127.366065경기도 가평군 조종면 연인산로 29612436경기도 가평군 조종면 신하리 48<NA><NA><NA>01810.0자동차야영장업<NA>관리지역1기타<NA>기타100<NA><NA>20211109150230
4가평군CDFI226214201500000520151203<NA>13영업중1영업/정상<NA><NA><NA><NA>별드림캠핑장37.872539127.565654경기도 가평군 가평읍 당목가일길 51512410경기도 가평군 가평읍 개곡리 198-1번지<NA><NA><NA><NA>3241.0자동차야영장업<NA>관리지역<NA><NA><NA><NA><NA><NA><NA><NA><NA>20151204091842
5가평군CDFI22621420210000032021-06-25<NA>13영업중1영업/정상<NA><NA><NA><NA>우니메이카(가평점)37.82793127.483<NA>12415경기도 가평군 가평읍 경반리 517-3<NA><NA><NA><NA>2394.0자동차야영장업<NA>관리지역<NA>기타<NA>기타<NA><NA><NA><NA><NA>2023-08-30 09:31:37
6가평군CDFI226214200800000120080923<NA>13영업중1영업/정상<NA><NA><NA><NA>자라섬 캠핑장37.8209127.521043경기도 가평군 가평읍 자라섬로 6012421경기도 가평군 가평읍 달전리 산 8477804031-580-2700<NA>0268530.0자동차야영장업<NA><NA>0<NA>한국지방재정공제회<NA>000<NA><NA>20220713103500
7가평군CDFI226214202100000120210210<NA>13영업중1영업/정상<NA><NA><NA><NA>채움카라반리조트37.864508127.347303경기도 가평군 조종면 현등사길 27-112432경기도 가평군 조종면 운악리 425-13<NA><NA><NA><NA>6918.0자동차야영장업<NA>관리지역<NA>기타<NA><NA><NA><NA><NA><NA><NA>20210210161458
8가평군CDFI226214202100000420210910<NA>13영업중1영업/정상<NA><NA><NA><NA>캠프 올모37.617552127.510289경기도 가평군 설악면 장수로 156-5012471경기도 가평군 설악면 설곡리 758-4<NA><NA><NA>04657.0자동차야영장업<NA>관리지역2기타<NA>기타200<NA><NA>20210910090834
9가평군CDFI226214201500000320150902<NA>13영업중1영업/정상<NA><NA><NA><NA>클럽힐링레저캠핑장37.772185127.536268경기도 가평군 가평읍 북한강변로 51612428경기도 가평군 가평읍 금대리 303-2번지477803<NA><NA><NA><NA>자동차야영장업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150903115048
시군명관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태구분코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자사업장명좌표정보(X)좌표정보(Y)도로명전체주소도로명우편번호소재지전체주소소재지우편번호소재지전화소재지면적건축연면적시설면적문화체육업종명문화사업자구분명지역구분명총층수주변환경명보험기관명건물용도명지상층수지하층수객실수보험시작일자보험종료일자최종수정시점
97포천시CDFI22621420130000012013-06-05<NA>13영업중1영업/정상<NA><NA><NA><NA>포천 비둘기낭 캠핑장38.077227127.222081경기도 포천시 영북면 비둘기낭길 10811108경기도 포천시 영북면 대회산리 452487-891031-538-3362<NA>043748.0자동차야영장업<NA><NA>0<NA><NA><NA>000<NA><NA>2023-07-21 11:50:22
98포천시CDFI226214201500000320151110<NA>13영업중1영업/정상<NA><NA><NA><NA>포천이동생태공원 캠핑장38.041373127.368721경기도 포천시 이동면 성장로1289번길 7611111경기도 포천시 이동면 장암리 614-1번지 외 1필지(613-1번지)<NA>0315384552<NA><NA>7291.0자동차야영장업<NA>자연녹지지역<NA>기타<NA><NA><NA><NA><NA><NA><NA>20151110151221
99포천시CDFI226214201500000120150415<NA>3폐업3폐업20220111<NA><NA><NA>몬테비얀코38.029363127.386626경기도 포천시 이동면 늠바위길 18111111경기도 포천시 이동면 장암리 48487863<NA><NA><NA>10959.0자동차야영장업<NA>관리지역<NA>기타<NA>근린생활시설<NA><NA><NA><NA><NA>20220112105024
100포천시CDFI226214201600000220160720<NA>3폐업3폐업20210510<NA><NA><NA>산정레이크RV리조트38.076757127.324402경기도 포천시 영북면 산정호수로 834-3211103경기도 포천시 영북면 산정리 277-1<NA><NA><NA><NA>16270.0자동차야영장업<NA>관리지역<NA><NA><NA><NA><NA><NA><NA><NA><NA>20210512175803
101하남시CDFI22621420230000012023-10-16<NA>13영업중1영업/정상<NA><NA><NA><NA>초이휴캠핑장37.542687127.167738경기도 하남시 초이로99번길 49-32 (초이동)12986경기도 하남시 초이동 69<NA><NA><NA>04998.0자동차야영장업<NA>자연녹지지역2기타<NA>기타200<NA><NA>2023-11-02 15:51:48
102화성시CDFI22621420220000022022-01-28<NA>13영업중1영업/정상<NA><NA><NA><NA>매향 오토 캠핑장37.052735126.759205경기도 화성시 우정읍 궁평항로 81-2218570경기도 화성시 우정읍 매향리 76-6<NA><NA><NA>00.0자동차야영장업<NA>관리지역0<NA>야영장사고배상책임보험기타000<NA><NA>2023-02-23 19:17:42
103화성시CDFI22621420160000022016-12-28<NA>13영업중1영업/정상<NA><NA><NA><NA>은빛초원캠핑장37.222651126.801066경기도 화성시 남양읍 샘실길 50-218253경기도 화성시 남양읍 원천리 672-1 외 4필지<NA><NA><NA>1422567.0자동차야영장업<NA>관리지역1<NA>농협보험(야영장사고배상책임)기타100<NA><NA>2023-03-07 15:16:06
104화성시CDFI226214202100000120210720<NA>13영업중1영업/정상<NA><NA><NA><NA>화성시 매송 오토캠핑장37.257904126.916039<NA>18288경기도 화성시 매송면 어천리 164<NA>031-293-9923<NA>04271.0자동차야영장업<NA>자연녹지지역1기타<NA>기타100<NA><NA>20211224155400
105화성시CDFI226214201800000120180323<NA>13영업중1영업/정상<NA><NA><NA><NA>화성시 향남 오토캠핑장37.139146126.929088경기도 화성시 향남읍 도이2길 113-2618588경기도 화성시 향남읍 도이리 240-1 외 3필지<NA>03180594763<NA>31314649.0자동차야영장업<NA>자연녹지지역<NA><NA>한국지방재정공제회<NA><NA><NA><NA><NA><NA>20210426104748
106화성시CDFI226214201600000120160624<NA>3폐업3폐업20220715<NA><NA><NA>어섬캠핑장37.244894126.652854경기도 화성시 송산면 어섬길259번길 6418545경기도 화성시 송산면 고포리 826-1<NA>0313564005<NA>363444.0자동차야영장업<NA>관리지역<NA>기타흥국화재해상보험<NA><NA><NA><NA><NA><NA>20220715155605