Overview

Dataset statistics

Number of variables27
Number of observations100
Missing cells264
Missing cells (%)9.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.3 KiB
Average record size in memory228.3 B

Variable types

Text10
Categorical8
Numeric8
Unsupported1

Alerts

lclas has constant value ""Constant
mlsfc has constant value ""Constant
lst_updt_dt has constant value ""Constant
data_orgn has constant value ""Constant
file_name has constant value ""Constant
base_ymd has constant value ""Constant
branch_nm has 98 (98.0%) missing valuesMissing
sub_nm has 100 (100.0%) missing valuesMissing
ri_nm has 66 (66.0%) missing valuesMissing
id has unique valuesUnique
id_poi has unique valuesUnique
poi_nm has unique valuesUnique
pnu has unique valuesUnique
rd_cd has unique valuesUnique
x has unique valuesUnique
y has unique valuesUnique
grid_cd has unique valuesUnique
sub_nm is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 10:02:47.557812
Analysis finished2023-12-10 10:02:48.796301
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

id
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:02:49.204822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1900
Distinct characters17
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

Unique100 ?
Unique (%)100.0%

Sample

1st rowKCSSRPO21N000000001
2nd rowKCSSRPO21N000172655
3rd rowKCSSRPO21N000000003
4th rowKCSSRPO21N000000004
5th rowKCSSRPO21N000000005
ValueCountFrequency (%)
kcssrpo21n000000001 1
 
1.0%
kcssrpo21n000000063 1
 
1.0%
kcssrpo21n000000074 1
 
1.0%
kcssrpo21n000000073 1
 
1.0%
kcssrpo21n000000072 1
 
1.0%
kcssrpo21n000000071 1
 
1.0%
kcssrpo21n000000070 1
 
1.0%
kcssrpo21n000000069 1
 
1.0%
kcssrpo21n000000068 1
 
1.0%
kcssrpo21n000000067 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T19:02:49.806943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 705
37.1%
S 200
 
10.5%
1 124
 
6.5%
2 121
 
6.4%
K 100
 
5.3%
C 100
 
5.3%
N 100
 
5.3%
O 100
 
5.3%
P 100
 
5.3%
R 100
 
5.3%
Other values (7) 150
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1100
57.9%
Uppercase Letter 800
42.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 705
64.1%
1 124
 
11.3%
2 121
 
11.0%
5 24
 
2.2%
6 24
 
2.2%
7 24
 
2.2%
4 20
 
1.8%
9 20
 
1.8%
3 19
 
1.7%
8 19
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
S 200
25.0%
K 100
12.5%
C 100
12.5%
N 100
12.5%
O 100
12.5%
P 100
12.5%
R 100
12.5%

Most occurring scripts

ValueCountFrequency (%)
Common 1100
57.9%
Latin 800
42.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 705
64.1%
1 124
 
11.3%
2 121
 
11.0%
5 24
 
2.2%
6 24
 
2.2%
7 24
 
2.2%
4 20
 
1.8%
9 20
 
1.8%
3 19
 
1.7%
8 19
 
1.7%
Latin
ValueCountFrequency (%)
S 200
25.0%
K 100
12.5%
C 100
12.5%
N 100
12.5%
O 100
12.5%
P 100
12.5%
R 100
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 705
37.1%
S 200
 
10.5%
1 124
 
6.5%
2 121
 
6.4%
K 100
 
5.3%
C 100
 
5.3%
N 100
 
5.3%
O 100
 
5.3%
P 100
 
5.3%
R 100
 
5.3%
Other values (7) 150
 
7.9%

lclas
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
장소
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장소 100
100.0%

Length

2023-12-10T19:02:50.086163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:02:50.239469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장소 100
100.0%

mlsfc
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
기타문화공간
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타문화공간 100
100.0%

Length

2023-12-10T19:02:50.412413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:02:50.892997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타문화공간 100
100.0%

id_poi
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7169736.7
Minimum347606
Maximum22212207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:02:51.033545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum347606
5-th percentile353481.35
Q15753946.5
median7771563
Q37791466.8
95-th percentile8271365.2
Maximum22212207
Range21864601
Interquartile range (IQR)2037520.2

Descriptive statistics

Standard deviation3413389.8
Coefficient of variation (CV)0.47608301
Kurtosis10.381163
Mean7169736.7
Median Absolute Deviation (MAD)20305.5
Skewness1.9434731
Sum7.1697367 × 108
Variance1.165123 × 1013
MonotonicityNot monotonic
2023-12-10T19:02:51.262461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347606 1
 
1.0%
7772261 1
 
1.0%
7791377 1
 
1.0%
7790986 1
 
1.0%
7790977 1
 
1.0%
7790957 1
 
1.0%
7790712 1
 
1.0%
7773552 1
 
1.0%
7772612 1
 
1.0%
7772440 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
347606 1
1.0%
350372 1
1.0%
350663 1
1.0%
351287 1
1.0%
352462 1
1.0%
353535 1
1.0%
539881 1
1.0%
1199303 1
1.0%
1200559 1
1.0%
4836019 1
1.0%
ValueCountFrequency (%)
22212207 1
1.0%
22199522 1
1.0%
22167847 1
1.0%
8271640 1
1.0%
8271502 1
1.0%
8271358 1
1.0%
8266017 1
1.0%
8265911 1
1.0%
8265899 1
1.0%
8265859 1
1.0%

poi_nm
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:02:51.608445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length7.94
Min length4

Characters and Unicode

Total characters794
Distinct characters163
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row해돋이어린이집
2nd row리더스요양보호사교육원
3rd row지성어린이집
4th row동산어린이집
5th row만승어린이집
ValueCountFrequency (%)
해돋이어린이집 1
 
1.0%
동촌동행정복지센터 1
 
1.0%
개천면행정복지센터 1
 
1.0%
성수면행정복지센터 1
 
1.0%
사평면행정복지센터 1
 
1.0%
진서면행정복지센터 1
 
1.0%
안전보건공단 1
 
1.0%
교하동행정복지센터 1
 
1.0%
고산2동행정복지센터 1
 
1.0%
노암동행정복지센터 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T19:02:52.192322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 53
 
6.7%
센 52
 
6.5%
정 49
 
6.2%
지 49
 
6.2%
복 45
 
5.7%
행 44
 
5.5%
동 38
 
4.8%
이 28
 
3.5%
집 28
 
3.5%
어 27
 
3.4%
Other values (153) 381
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 772
97.2%
Decimal Number 20
 
2.5%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 53
 
6.9%
센 52
 
6.7%
정 49
 
6.3%
지 49
 
6.3%
복 45
 
5.8%
행 44
 
5.7%
동 38
 
4.9%
이 28
 
3.6%
집 28
 
3.6%
어 27
 
3.5%
Other values (146) 359
46.5%
Decimal Number
ValueCountFrequency (%)
2 10
50.0%
1 6
30.0%
6 2
 
10.0%
0 1
 
5.0%
4 1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 772
97.2%
Common 22
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 53
 
6.9%
센 52
 
6.7%
정 49
 
6.3%
지 49
 
6.3%
복 45
 
5.8%
행 44
 
5.7%
동 38
 
4.9%
이 28
 
3.6%
집 28
 
3.6%
어 27
 
3.5%
Other values (146) 359
46.5%
Common
ValueCountFrequency (%)
2 10
45.5%
1 6
27.3%
6 2
 
9.1%
) 1
 
4.5%
0 1
 
4.5%
( 1
 
4.5%
4 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 772
97.2%
ASCII 22
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 53
 
6.9%
센 52
 
6.7%
정 49
 
6.3%
지 49
 
6.3%
복 45
 
5.8%
행 44
 
5.7%
동 38
 
4.9%
이 28
 
3.6%
집 28
 
3.6%
어 27
 
3.5%
Other values (146) 359
46.5%
ASCII
ValueCountFrequency (%)
2 10
45.5%
1 6
27.3%
6 2
 
9.1%
) 1
 
4.5%
0 1
 
4.5%
( 1
 
4.5%
4 1
 
4.5%

branch_nm
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing98
Missing (%)98.0%
Memory size932.0 B
2023-12-10T19:02:52.493280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9
Min length4

Characters and Unicode

Total characters18
Distinct characters16
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

Unique2 ?
Unique (%)100.0%

Sample

1st row서울대학교어린이보육지원센터
2nd row대구지부
ValueCountFrequency (%)
서울대학교어린이보육지원센터 1
50.0%
대구지부 1
50.0%
2023-12-10T19:02:52.937433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 2
 
11.1%
지 2
 
11.1%
서 1
 
5.6%
울 1
 
5.6%
학 1
 
5.6%
교 1
 
5.6%
어 1
 
5.6%
린 1
 
5.6%
이 1
 
5.6%
보 1
 
5.6%
Other values (6) 6
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 2
 
11.1%
지 2
 
11.1%
서 1
 
5.6%
울 1
 
5.6%
학 1
 
5.6%
교 1
 
5.6%
어 1
 
5.6%
린 1
 
5.6%
이 1
 
5.6%
보 1
 
5.6%
Other values (6) 6
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 2
 
11.1%
지 2
 
11.1%
서 1
 
5.6%
울 1
 
5.6%
학 1
 
5.6%
교 1
 
5.6%
어 1
 
5.6%
린 1
 
5.6%
이 1
 
5.6%
보 1
 
5.6%
Other values (6) 6
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 2
 
11.1%
지 2
 
11.1%
서 1
 
5.6%
울 1
 
5.6%
학 1
 
5.6%
교 1
 
5.6%
어 1
 
5.6%
린 1
 
5.6%
이 1
 
5.6%
보 1
 
5.6%
Other values (6) 6
33.3%

sub_nm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

mcate_cd
Real number (ℝ)

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28611.04
Minimum10105
Maximum200107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:02:53.132948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10105
5-th percentile10105
Q110105
median10107
Q320402
95-th percentile200105.05
Maximum200107
Range190002
Interquartile range (IQR)10297

Descriptive statistics

Standard deviation47843.1
Coefficient of variation (CV)1.6721902
Kurtosis9.3229451
Mean28611.04
Median Absolute Deviation (MAD)2
Skewness3.2908517
Sum2861104
Variance2.2889622 × 109
MonotonicityNot monotonic
2023-12-10T19:02:53.309856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10105 34
34.0%
20402 25
25.0%
10107 18
18.0%
30218 8
 
8.0%
20206 4
 
4.0%
200106 3
 
3.0%
20316 2
 
2.0%
200107 2
 
2.0%
200103 1
 
1.0%
50706 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
10105 34
34.0%
10107 18
18.0%
10912 1
 
1.0%
20206 4
 
4.0%
20316 2
 
2.0%
20402 25
25.0%
30218 8
 
8.0%
50706 1
 
1.0%
200103 1
 
1.0%
200105 1
 
1.0%
ValueCountFrequency (%)
200107 2
 
2.0%
200106 3
 
3.0%
200105 1
 
1.0%
200103 1
 
1.0%
50706 1
 
1.0%
30218 8
 
8.0%
20402 25
25.0%
20316 2
 
2.0%
20206 4
 
4.0%
10912 1
 
1.0%

mcate_nm
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
주민센터
34 
어린이집
25 
면사무소
18 
요양원
8 
특수학교
4 
Other values (7)
11 

Length

Max length10
Median length4
Mean length4.18
Min length3

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row어린이집
2nd row일반교육원
3rd row어린이집
4th row어린이집
5th row어린이집

Common Values

ValueCountFrequency (%)
주민센터 34
34.0%
어린이집 25
25.0%
면사무소 18
18.0%
요양원 8
 
8.0%
특수학교 4
 
4.0%
보육원/양로원 3
 
3.0%
일반교육원 2
 
2.0%
복지문화센터 2
 
2.0%
복지관 1
 
1.0%
어린이놀이터 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2023-12-10T19:02:53.557345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민센터 34
34.0%
어린이집 25
25.0%
면사무소 18
18.0%
요양원 8
 
8.0%
특수학교 4
 
4.0%
보육원/양로원 3
 
3.0%
일반교육원 2
 
2.0%
복지문화센터 2
 
2.0%
복지관 1
 
1.0%
어린이놀이터 1
 
1.0%
Other values (2) 2
 
2.0%

pnu
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6558606 × 1018
Minimum1.111014 × 1018
Maximum5.0130101 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:02:53.821227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111014 × 1018
5-th percentile1.1350105 × 1018
Q12.7260118 × 1018
median4.2435232 × 1018
Q34.6150109 × 1018
95-th percentile4.8250106 × 1018
Maximum5.0130101 × 1018
Range3.9019961 × 1018
Interquartile range (IQR)1.8889992 × 1018

Descriptive statistics

Standard deviation1.2710954 × 1018
Coefficient of variation (CV)0.34768704
Kurtosis-0.37994271
Mean3.6558606 × 1018
Median Absolute Deviation (MAD)4.744979 × 1017
Skewness-1.0175653
Sum-3.3488203 × 1018
Variance1.6156834 × 1036
MonotonicityNot monotonic
2023-12-10T19:02:54.194092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2620011500101000002 1
 
1.0%
4131010300105430000 1
 
1.0%
4715035021104000001 1
 
1.0%
4882038027106260001 1
 
1.0%
4575034022102670010 1
 
1.0%
4679041521103500001 1
 
1.0%
4580037024106460000 1
 
1.0%
2711010200100500005 1
 
1.0%
4148010700103880003 1
 
1.0%
2726011400101400003 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1111014000101050001 1
1.0%
1121510700101220000 1
1.0%
1123010500104770009 1
1.0%
1129010100102260220 1
1.0%
1135010300100870007 1
1.0%
1135010500107710002 1
1.0%
1141011800103950027 1
1.0%
1147010300104250002 1
1.0%
1150010300109800001 1
1.0%
1153010600103390002 1
1.0%
ValueCountFrequency (%)
5013010100102940015 1
1.0%
4882038027106260001 1
1.0%
4874031021102830002 1
1.0%
4833031026107740009 1
1.0%
4825010700115430000 1
1.0%
4825010600105560005 1
1.0%
4812312700100050001 1
1.0%
4777038036100440005 1
1.0%
4775033032103130000 1
1.0%
4773033031104500001 1
1.0%

sido_nm
Categorical

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울특별시
15 
경기도
11 
경상북도
11 
전라남도
9 
충청남도
8 
Other values (11)
46 

Length

Max length7
Median length5
Mean length4.21
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row부산광역시
2nd row경상남도
3rd row서울특별시
4th row대구광역시
5th row충청북도

Common Values

ValueCountFrequency (%)
서울특별시 15
15.0%
경기도 11
11.0%
경상북도 11
11.0%
전라남도 9
9.0%
충청남도 8
8.0%
전라북도 7
7.0%
경상남도 6
 
6.0%
대구광역시 6
 
6.0%
충청북도 6
 
6.0%
강원도 6
 
6.0%
Other values (6) 15
15.0%

Length

2023-12-10T19:02:54.487298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 15
15.0%
경기도 11
11.0%
경상북도 11
11.0%
전라남도 9
9.0%
충청남도 8
8.0%
전라북도 7
7.0%
경상남도 6
 
6.0%
대구광역시 6
 
6.0%
충청북도 6
 
6.0%
강원도 6
 
6.0%
Other values (6) 15
15.0%

sgg_nm
Text

Distinct76
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:02:55.197880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.3
Min length2

Characters and Unicode

Total characters330
Distinct characters72
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)59.0%

Sample

1st row영도구
2nd row창원시 성산구
3rd row금천구
4th row수성구
5th row진천군
ValueCountFrequency (%)
동구 5
 
4.6%
순천시 3
 
2.8%
수성구 3
 
2.8%
영천시 3
 
2.8%
광산구 3
 
2.8%
고양시 3
 
2.8%
금산군 2
 
1.9%
김천시 2
 
1.9%
남구 2
 
1.9%
김해시 2
 
1.9%
Other values (72) 80
74.1%
2023-12-10T19:02:55.947487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 46
 
13.9%
시 40
 
12.1%
군 26
 
7.9%
천 16
 
4.8%
산 13
 
3.9%
동 11
 
3.3%
성 9
 
2.7%
양 9
 
2.7%
8
 
2.4%
안 7
 
2.1%
Other values (62) 145
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
97.6%
Space Separator 8
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 46
 
14.3%
시 40
 
12.4%
군 26
 
8.1%
천 16
 
5.0%
산 13
 
4.0%
동 11
 
3.4%
성 9
 
2.8%
양 9
 
2.8%
안 7
 
2.2%
고 7
 
2.2%
Other values (61) 138
42.9%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
97.6%
Common 8
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 46
 
14.3%
시 40
 
12.4%
군 26
 
8.1%
천 16
 
5.0%
산 13
 
4.0%
동 11
 
3.4%
성 9
 
2.8%
양 9
 
2.8%
안 7
 
2.2%
고 7
 
2.2%
Other values (61) 138
42.9%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
97.6%
ASCII 8
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 46
 
14.3%
시 40
 
12.4%
군 26
 
8.1%
천 16
 
5.0%
산 13
 
4.0%
동 11
 
3.4%
성 9
 
2.8%
양 9
 
2.8%
안 7
 
2.2%
고 7
 
2.2%
Other values (61) 138
42.9%
ASCII
ValueCountFrequency (%)
8
100.0%

bemd_nm
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:02:56.629331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.05
Min length2

Characters and Unicode

Total characters305
Distinct characters106
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)94.0%

Sample

1st row봉래동1가
2nd row상남동
3rd row시흥동
4th row욱수동
5th row광혜원면
ValueCountFrequency (%)
추부면 2
 
2.0%
망정동 2
 
2.0%
지산동 2
 
2.0%
도양읍 1
 
1.0%
남천동 1
 
1.0%
개천면 1
 
1.0%
성수면 1
 
1.0%
사평면 1
 
1.0%
진서면 1
 
1.0%
동인동2가 1
 
1.0%
Other values (87) 87
87.0%
2023-12-10T19:02:57.577316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 71
23.3%
면 28
 
9.2%
산 6
 
2.0%
읍 6
 
2.0%
천 6
 
2.0%
양 5
 
1.6%
남 5
 
1.6%
성 5
 
1.6%
고 4
 
1.3%
원 4
 
1.3%
Other values (96) 165
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
99.3%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 71
23.4%
면 28
 
9.2%
산 6
 
2.0%
읍 6
 
2.0%
천 6
 
2.0%
양 5
 
1.7%
남 5
 
1.7%
성 5
 
1.7%
고 4
 
1.3%
원 4
 
1.3%
Other values (94) 163
53.8%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
99.3%
Common 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 71
23.4%
면 28
 
9.2%
산 6
 
2.0%
읍 6
 
2.0%
천 6
 
2.0%
양 5
 
1.7%
남 5
 
1.7%
성 5
 
1.7%
고 4
 
1.3%
원 4
 
1.3%
Other values (94) 163
53.8%
Common
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
99.3%
ASCII 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 71
23.4%
면 28
 
9.2%
산 6
 
2.0%
읍 6
 
2.0%
천 6
 
2.0%
양 5
 
1.7%
남 5
 
1.7%
성 5
 
1.7%
고 4
 
1.3%
원 4
 
1.3%
Other values (94) 163
53.8%
ASCII
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%

ri_nm
Text

MISSING 

Distinct32
Distinct (%)94.1%
Missing66
Missing (%)66.0%
Memory size932.0 B
2023-12-10T19:02:58.051103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0294118
Min length3

Characters and Unicode

Total characters103
Distinct characters50
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

Unique30 ?
Unique (%)88.2%

Sample

1st row광혜원리
2nd row삼산리
3rd row석산리
4th row성남리
5th row오산리
ValueCountFrequency (%)
신기리 2
 
5.9%
마전리 2
 
5.9%
상장리 1
 
2.9%
도관리 1
 
2.9%
신대리 1
 
2.9%
대소리 1
 
2.9%
록평리 1
 
2.9%
구성리 1
 
2.9%
신포리 1
 
2.9%
운월리 1
 
2.9%
Other values (22) 22
64.7%
2023-12-10T19:02:58.930383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 34
33.0%
신 4
 
3.9%
산 4
 
3.9%
성 4
 
3.9%
대 3
 
2.9%
월 2
 
1.9%
평 2
 
1.9%
마 2
 
1.9%
기 2
 
1.9%
광 2
 
1.9%
Other values (40) 44
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 34
33.0%
신 4
 
3.9%
산 4
 
3.9%
성 4
 
3.9%
대 3
 
2.9%
월 2
 
1.9%
평 2
 
1.9%
마 2
 
1.9%
기 2
 
1.9%
광 2
 
1.9%
Other values (40) 44
42.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 34
33.0%
신 4
 
3.9%
산 4
 
3.9%
성 4
 
3.9%
대 3
 
2.9%
월 2
 
1.9%
평 2
 
1.9%
마 2
 
1.9%
기 2
 
1.9%
광 2
 
1.9%
Other values (40) 44
42.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 34
33.0%
신 4
 
3.9%
산 4
 
3.9%
성 4
 
3.9%
대 3
 
2.9%
월 2
 
1.9%
평 2
 
1.9%
마 2
 
1.9%
기 2
 
1.9%
광 2
 
1.9%
Other values (40) 44
42.7%

beonji
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:02:59.470588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.7
Min length2

Characters and Unicode

Total characters470
Distinct characters12
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

Unique98 ?
Unique (%)98.0%

Sample

1st row100-2
2nd row5-1
3rd row832-24
4th row241-10
5th row529-20
ValueCountFrequency (%)
646 2
 
2.0%
100-2 1
 
1.0%
400-1 1
 
1.0%
626-1 1
 
1.0%
267-10 1
 
1.0%
350-1 1
 
1.0%
50-5 1
 
1.0%
388-3 1
 
1.0%
140-3 1
 
1.0%
807-21 1
 
1.0%
Other values (89) 89
89.0%
2023-12-10T19:03:00.174832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 79
16.8%
1 71
15.1%
2 63
13.4%
3 44
9.4%
4 41
8.7%
5 37
7.9%
0 31
 
6.6%
9 27
 
5.7%
8 26
 
5.5%
6 25
 
5.3%
Other values (2) 26
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
83.0%
Dash Punctuation 79
 
16.8%
Other Letter 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 71
18.2%
2 63
16.2%
3 44
11.3%
4 41
10.5%
5 37
9.5%
0 31
7.9%
9 27
 
6.9%
8 26
 
6.7%
6 25
 
6.4%
7 25
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Other Letter
ValueCountFrequency (%)
산 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 469
99.8%
Hangul 1
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 79
16.8%
1 71
15.1%
2 63
13.4%
3 44
9.4%
4 41
8.7%
5 37
7.9%
0 31
 
6.6%
9 27
 
5.8%
8 26
 
5.5%
6 25
 
5.3%
Hangul
ValueCountFrequency (%)
산 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 469
99.8%
Hangul 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 79
16.8%
1 71
15.1%
2 63
13.4%
3 44
9.4%
4 41
8.7%
5 37
7.9%
0 31
 
6.6%
9 27
 
5.8%
8 26
 
5.5%
6 25
 
5.3%
Hangul
ValueCountFrequency (%)
산 1
100.0%

badm_cd
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6558606 × 109
Minimum1.111014 × 109
Maximum5.0130101 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:03:00.431349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111014 × 109
5-th percentile1.1350105 × 109
Q12.7260118 × 109
median4.2435232 × 109
Q34.6150109 × 109
95-th percentile4.8250106 × 109
Maximum5.0130101 × 109
Range3.9019961 × 109
Interquartile range (IQR)1.8889992 × 109

Descriptive statistics

Standard deviation1.2710954 × 109
Coefficient of variation (CV)0.34768704
Kurtosis-0.37994271
Mean3.6558606 × 109
Median Absolute Deviation (MAD)4.744979 × 108
Skewness-1.0175653
Sum3.6558606 × 1011
Variance1.6156834 × 1018
MonotonicityNot monotonic
2023-12-10T19:03:00.746842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4723010200 2
 
2.0%
4471039023 2
 
2.0%
2620011500 1
 
1.0%
2650010500 1
 
1.0%
4715035021 1
 
1.0%
4882038027 1
 
1.0%
4575034022 1
 
1.0%
4679041521 1
 
1.0%
4580037024 1
 
1.0%
2711010200 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
1111014000 1
1.0%
1121510700 1
1.0%
1123010500 1
1.0%
1129010100 1
1.0%
1135010300 1
1.0%
1135010500 1
1.0%
1141011800 1
1.0%
1147010300 1
1.0%
1150010300 1
1.0%
1153010600 1
1.0%
ValueCountFrequency (%)
5013010100 1
1.0%
4882038027 1
1.0%
4874031021 1
1.0%
4833031026 1
1.0%
4825010700 1
1.0%
4825010600 1
1.0%
4812312700 1
1.0%
4777038036 1
1.0%
4775033032 1
1.0%
4773033031 1
1.0%

hadm_cd
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6558928 × 109
Minimum1.111054 × 109
Maximum5.013054 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:03:01.052623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111054 × 109
5-th percentile1.135069 × 109
Q12.7260678 × 109
median4.2435498 × 109
Q34.6150555 × 109
95-th percentile4.825055 × 109
Maximum5.013054 × 109
Range3.902 × 109
Interquartile range (IQR)1.8889878 × 109

Descriptive statistics

Standard deviation1.2710822 × 109
Coefficient of variation (CV)0.34768039
Kurtosis-0.37992055
Mean3.6558928 × 109
Median Absolute Deviation (MAD)4.7448425 × 108
Skewness-1.0175744
Sum3.6558928 × 1011
Variance1.61565 × 1018
MonotonicityNot monotonic
2023-12-10T19:03:01.327487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4825055000 2
 
2.0%
4471039000 2
 
2.0%
4723051000 2
 
2.0%
4579037000 1
 
1.0%
4715035000 1
 
1.0%
4882038000 1
 
1.0%
4575034000 1
 
1.0%
4679041500 1
 
1.0%
4580037000 1
 
1.0%
2711051700 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
1111054000 1
1.0%
1121571000 1
1.0%
1123060000 1
1.0%
1129052500 1
1.0%
1135060000 1
1.0%
1135069500 1
1.0%
1141068500 1
1.0%
1147059000 1
1.0%
1150059100 1
1.0%
1153073000 1
1.0%
ValueCountFrequency (%)
5013054000 1
1.0%
4882038000 1
1.0%
4874031000 1
1.0%
4833031000 1
1.0%
4825055000 2
2.0%
4812353000 1
1.0%
4777038000 1
1.0%
4775033000 1
1.0%
4773033000 1
1.0%
4723053500 1
1.0%

rd_cd
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.655879 × 1011
Minimum1.111031 × 1011
Maximum5.0130485 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:03:01.677732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111031 × 1011
5-th percentile1.1350413 × 1011
Q12.7260424 × 1011
median4.2435447 × 1011
Q34.6150328 × 1011
95-th percentile4.8250246 × 1011
Maximum5.0130485 × 1011
Range3.9020175 × 1011
Interquartile range (IQR)1.8889904 × 1011

Descriptive statistics

Standard deviation1.2710908 × 1011
Coefficient of variation (CV)0.34768405
Kurtosis-0.37993661
Mean3.655879 × 1011
Median Absolute Deviation (MAD)4.7449047 × 1010
Skewness-1.017568
Sum3.655879 × 1013
Variance1.6156718 × 1022
MonotonicityNot monotonic
2023-12-10T19:03:02.132590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262004184227 1
 
1.0%
413104388072 1
 
1.0%
471503306002 1
 
1.0%
488203342028 1
 
1.0%
457503274053 1
 
1.0%
467903291011 1
 
1.0%
458003280089 1
 
1.0%
271103007001 1
 
1.0%
414803206006 1
 
1.0%
272602007002 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
111103100007 1
1.0%
112154112127 1
1.0%
112303005034 1
1.0%
112904121350 1
1.0%
113504130067 1
1.0%
113504130147 1
1.0%
114103005053 1
1.0%
114704142308 1
1.0%
115003005069 1
1.0%
115304148463 1
1.0%
ValueCountFrequency (%)
501304850834 1
1.0%
488203342028 1
1.0%
487402341001 1
1.0%
483304814475 1
1.0%
482504805018 1
1.0%
482502335001 1
1.0%
481233328013 1
1.0%
477704754199 1
1.0%
477504748018 1
1.0%
477303315005 1
1.0%

rd_nm
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:03:02.688977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.46
Min length3

Characters and Unicode

Total characters446
Distinct characters130
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)96.0%

Sample

1st row절영로7번길
2nd row마디미서로
3rd row독산로22길
4th row달구벌대로652길
5th row화랑2길
ValueCountFrequency (%)
신기길 2
 
2.0%
충의로 2
 
2.0%
대성로 1
 
1.0%
동촌로11길 1
 
1.0%
절영로7번길 1
 
1.0%
청자로 1
 
1.0%
국채보상로 1
 
1.0%
교하로 1
 
1.0%
달구벌대로 1
 
1.0%
소리길 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T19:03:03.382791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 82
 
18.4%
길 44
 
9.9%
산 14
 
3.1%
번 13
 
2.9%
1 12
 
2.7%
대 11
 
2.5%
2 10
 
2.2%
7 8
 
1.8%
0 7
 
1.6%
4 6
 
1.3%
Other values (120) 239
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
85.9%
Decimal Number 63
 
14.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 82
21.4%
길 44
 
11.5%
산 14
 
3.7%
번 13
 
3.4%
대 11
 
2.9%
동 6
 
1.6%
신 5
 
1.3%
정 5
 
1.3%
가 5
 
1.3%
장 5
 
1.3%
Other values (110) 193
50.4%
Decimal Number
ValueCountFrequency (%)
1 12
19.0%
2 10
15.9%
7 8
12.7%
0 7
11.1%
4 6
9.5%
3 6
9.5%
5 6
9.5%
6 5
7.9%
9 2
 
3.2%
8 1
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
85.9%
Common 63
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 82
21.4%
길 44
 
11.5%
산 14
 
3.7%
번 13
 
3.4%
대 11
 
2.9%
동 6
 
1.6%
신 5
 
1.3%
정 5
 
1.3%
가 5
 
1.3%
장 5
 
1.3%
Other values (110) 193
50.4%
Common
ValueCountFrequency (%)
1 12
19.0%
2 10
15.9%
7 8
12.7%
0 7
11.1%
4 6
9.5%
3 6
9.5%
5 6
9.5%
6 5
7.9%
9 2
 
3.2%
8 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
85.9%
ASCII 63
 
14.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 82
21.4%
길 44
 
11.5%
산 14
 
3.7%
번 13
 
3.4%
대 11
 
2.9%
동 6
 
1.6%
신 5
 
1.3%
정 5
 
1.3%
가 5
 
1.3%
장 5
 
1.3%
Other values (110) 193
50.4%
ASCII
ValueCountFrequency (%)
1 12
19.0%
2 10
15.9%
7 8
12.7%
0 7
11.1%
4 6
9.5%
3 6
9.5%
5 6
9.5%
6 5
7.9%
9 2
 
3.2%
8 1
 
1.6%

bld_num
Text

Distinct83
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:03:03.836579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.62
Min length1

Characters and Unicode

Total characters262
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

Unique69 ?
Unique (%)69.0%

Sample

1st row4
2nd row3
3rd row44
4th row65-6
5th row17
ValueCountFrequency (%)
3 4
 
4.0%
8 3
 
3.0%
29 2
 
2.0%
4 2
 
2.0%
32 2
 
2.0%
5 2
 
2.0%
15 2
 
2.0%
60 2
 
2.0%
16 2
 
2.0%
68 2
 
2.0%
Other values (73) 77
77.0%
2023-12-10T19:03:04.795029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 54
20.6%
2 33
12.6%
3 25
9.5%
5 24
9.2%
8 21
 
8.0%
0 21
 
8.0%
7 20
 
7.6%
9 18
 
6.9%
6 17
 
6.5%
4 17
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
95.4%
Dash Punctuation 12
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 54
21.6%
2 33
13.2%
3 25
10.0%
5 24
9.6%
8 21
 
8.4%
0 21
 
8.4%
7 20
 
8.0%
9 18
 
7.2%
6 17
 
6.8%
4 17
 
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 262
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 54
20.6%
2 33
12.6%
3 25
9.5%
5 24
9.2%
8 21
 
8.0%
0 21
 
8.0%
7 20
 
7.6%
9 18
 
6.9%
6 17
 
6.5%
4 17
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 262
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 54
20.6%
2 33
12.6%
3 25
9.5%
5 24
9.2%
8 21
 
8.0%
0 21
 
8.0%
7 20
 
7.6%
9 18
 
6.9%
6 17
 
6.5%
4 17
 
6.5%

x
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.6329
Minimum126.47755
Maximum129.34822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:03:05.174278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.47755
5-th percentile126.66217
Q1126.92295
median127.35669
Q3128.58219
95-th percentile129.04104
Maximum129.34822
Range2.8706716
Interquartile range (IQR)1.659233

Descriptive statistics

Standard deviation0.8670573
Coefficient of variation (CV)0.0067933681
Kurtosis-1.2481185
Mean127.6329
Median Absolute Deviation (MAD)0.55333479
Skewness0.54407066
Sum12763.29
Variance0.75178836
MonotonicityNot monotonic
2023-12-10T19:03:05.525437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.040611369666 1
 
1.0%
127.133652593125 1
 
1.0%
128.181109752273 1
 
1.0%
128.25897690537 1
 
1.0%
127.333118931634 1
 
1.0%
127.095839731053 1
 
1.0%
126.605412040087 1
 
1.0%
128.601211276934 1
 
1.0%
126.746878855281 1
 
1.0%
128.695175110789 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
126.477552745947 1
1.0%
126.492022600916 1
1.0%
126.561248431706 1
1.0%
126.605412040087 1
1.0%
126.646643274519 1
1.0%
126.662983092646 1
1.0%
126.688098349073 1
1.0%
126.69497308955 1
1.0%
126.707018777113 1
1.0%
126.737074785352 1
1.0%
ValueCountFrequency (%)
129.348224379025 1
1.0%
129.266016161967 1
1.0%
129.114743822391 1
1.0%
129.088962497566 1
1.0%
129.049109162862 1
1.0%
129.040611369666 1
1.0%
129.034493110906 1
1.0%
129.031417869205 1
1.0%
129.026544465455 1
1.0%
128.956018945941 1
1.0%

y
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.354374
Minimum33.247834
Maximum38.029877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:03:05.782291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.247834
5-th percentile34.965975
Q135.390786
median36.280496
Q337.467189
95-th percentile37.719034
Maximum38.029877
Range4.7820436
Interquartile range (IQR)2.0764032

Descriptive statistics

Standard deviation1.0479851
Coefficient of variation (CV)0.028826932
Kurtosis-0.86174252
Mean36.354374
Median Absolute Deviation (MAD)1.0775999
Skewness-0.20916245
Sum3635.4374
Variance1.0982727
MonotonicityNot monotonic
2023-12-10T19:03:06.036810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.0933536079873 1
 
1.0%
37.6053793191953 1
 
1.0%
36.2142476853419 1
 
1.0%
35.0987397687684 1
 
1.0%
35.6299128914993 1
 
1.0%
35.0072842788264 1
 
1.0%
35.5876449301296 1
 
1.0%
35.8693554728883 1
 
1.0%
37.7530304434955 1
 
1.0%
35.843410516978 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
33.2478335578433 1
1.0%
34.573214110848 1
1.0%
34.7075147028248 1
1.0%
34.7774922349562 1
1.0%
34.947189872256 1
1.0%
34.9669631724469 1
1.0%
34.9709043908172 1
1.0%
34.9875180997046 1
1.0%
35.0072842788264 1
1.0%
35.0460028887789 1
1.0%
ValueCountFrequency (%)
38.0298771358123 1
1.0%
37.8162874186271 1
1.0%
37.7921594798007 1
1.0%
37.7596861573156 1
1.0%
37.7530304434955 1
1.0%
37.7172446619974 1
1.0%
37.6734356905843 1
1.0%
37.6613501026626 1
1.0%
37.6558021573646 1
1.0%
37.6428167759824 1
1.0%

grid_cd
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:03:06.621916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters800
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row마라404786
2nd row마라077927
3rd row다사477394
4th row마마093601
5th row다바944883
ValueCountFrequency (%)
마라404786 1
 
1.0%
마마037665 1
 
1.0%
라라691784 1
 
1.0%
다마848370 1
 
1.0%
다라631681 1
 
1.0%
다마189327 1
 
1.0%
라마994642 1
 
1.0%
다사336728 1
 
1.0%
마마079614 1
 
1.0%
다마891115 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T19:03:07.999730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 74
 
9.2%
4 67
 
8.4%
9 64
 
8.0%
7 63
 
7.9%
3 63
 
7.9%
2 60
 
7.5%
다 59
 
7.4%
1 56
 
7.0%
0 55
 
6.9%
5 53
 
6.6%
Other values (7) 186
23.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
75.0%
Other Letter 200
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 74
12.3%
4 67
11.2%
9 64
10.7%
7 63
10.5%
3 63
10.5%
2 60
10.0%
1 56
9.3%
0 55
9.2%
5 53
8.8%
8 45
7.5%
Other Letter
ValueCountFrequency (%)
다 59
29.5%
마 49
24.5%
라 39
19.5%
사 32
16.0%
바 19
 
9.5%
나 1
 
0.5%
아 1
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 600
75.0%
Hangul 200
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 74
12.3%
4 67
11.2%
9 64
10.7%
7 63
10.5%
3 63
10.5%
2 60
10.0%
1 56
9.3%
0 55
9.2%
5 53
8.8%
8 45
7.5%
Hangul
ValueCountFrequency (%)
다 59
29.5%
마 49
24.5%
라 39
19.5%
사 32
16.0%
바 19
 
9.5%
나 1
 
0.5%
아 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
75.0%
Hangul 200
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 74
12.3%
4 67
11.2%
9 64
10.7%
7 63
10.5%
3 63
10.5%
2 60
10.0%
1 56
9.3%
0 55
9.2%
5 53
8.8%
8 45
7.5%
Hangul
ValueCountFrequency (%)
다 59
29.5%
마 49
24.5%
라 39
19.5%
사 32
16.0%
바 19
 
9.5%
나 1
 
0.5%
아 1
 
0.5%

lst_updt_dt
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20210916170801
100 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20210916170801
2nd row20210916170801
3rd row20210916170801
4th row20210916170801
5th row20210916170801

Common Values

ValueCountFrequency (%)
20210916170801 100
100.0%

Length

2023-12-10T19:03:08.394159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:08.592582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210916170801 100
100.0%

data_orgn
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
KT
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KT 100
100.0%

Length

2023-12-10T19:03:08.884086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:09.104961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kt 100
100.0%

file_name
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
KC_501_DMSTC_MCST_SSRFT_2021
100 

Length

Max length28
Median length28
Mean length28
Min length28

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKC_501_DMSTC_MCST_SSRFT_2021
2nd rowKC_501_DMSTC_MCST_SSRFT_2021
3rd rowKC_501_DMSTC_MCST_SSRFT_2021
4th rowKC_501_DMSTC_MCST_SSRFT_2021
5th rowKC_501_DMSTC_MCST_SSRFT_2021

Common Values

ValueCountFrequency (%)
KC_501_DMSTC_MCST_SSRFT_2021 100
100.0%

Length

2023-12-10T19:03:09.417697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:09.617603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kc_501_dmstc_mcst_ssrft_2021 100
100.0%

base_ymd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20210916
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20210916
2nd row20210916
3rd row20210916
4th row20210916
5th row20210916

Common Values

ValueCountFrequency (%)
20210916 100
100.0%

Length

2023-12-10T19:03:09.781823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:09.959919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210916 100
100.0%

Sample

idlclasmlsfcid_poipoi_nmbranch_nmsub_nmmcate_cdmcate_nmpnusido_nmsgg_nmbemd_nmri_nmbeonjibadm_cdhadm_cdrd_cdrd_nmbld_numxygrid_cdlst_updt_dtdata_orgnfile_namebase_ymd
0KCSSRPO21N000000001장소기타문화공간347606해돋이어린이집<NA><NA>20402어린이집2620011500101000002부산광역시영도구봉래동1가<NA>100-226200115002620059000262004184227절영로7번길4129.04061135.093354마라40478620210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
1KCSSRPO21N000172655장소기타문화공간22167847리더스요양보호사교육원<NA><NA>20316일반교육원4812312700100050001경상남도창원시 성산구상남동<NA>5-148123127004812353000481233328013마디미서로3128.68449435.224199마라07792720210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
2KCSSRPO21N000000003장소기타문화공간350372지성어린이집<NA><NA>20402어린이집1154510300108320024서울특별시금천구시흥동<NA>832-2411545103001154571000115454151065독산로22길44126.90867337.453191다사47739420210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
3KCSSRPO21N000000004장소기타문화공간350663동산어린이집<NA><NA>20402어린이집2726011900102410010대구광역시수성구욱수동<NA>241-1027260119002726067000272604238104달구벌대로652길65-6128.71020335.832185마마09360120210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
4KCSSRPO21N000000005장소기타문화공간351287만승어린이집<NA><NA>20402어린이집4375037027105290020충청북도진천군광혜원면광혜원리529-2043750370274375037000437504535425화랑2길17127.43805136.993391다바94488320210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
5KCSSRPO21N000000006장소기타문화공간352462보람어린이집<NA><NA>20402어린이집4128110100105760014경기도고양시 덕양구주교동<NA>576-1441281101004128151000412814376088마상로107번길14126.83595537.66135다사41462620210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
6KCSSRPO21N000000007장소기타문화공간353535송중어린이집<NA><NA>20402어린이집1141011800103950027서울특별시서대문구홍은동<NA>395-2711410118001141068500114103005053가좌로56126.93000937.578713다사49653420210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
7KCSSRPO21N000172656장소기타문화공간22199522서울시립상이군경복지관<NA><NA>200103복지관1135010500107710002서울특별시노원구상계동<NA>771-211350105001135069500113504130147덕릉로70가길73127.05762637.642817다사60960420210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
8KCSSRPO21N000000009장소기타문화공간539881어린이공원<NA><NA>50706어린이놀이터4372025021101190008충청북도보은군보은읍삼산리119-843720250214372025000437204523049교사삼산길57127.71579536.484391라바19331820210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
9KCSSRPO21N000000010장소기타문화공간1199303서울대학교관악캠퍼스백학어린이집서울대학교어린이보육지원센터<NA>20402어린이집1162010200200560001서울특별시관악구봉천동<NA>산56-111620101001162058500116203120001관악로1126.95827837.466212다사52040920210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
idlclasmlsfcid_poipoi_nmbranch_nmsub_nmmcate_cdmcate_nmpnusido_nmsgg_nmbemd_nmri_nmbeonjibadm_cdhadm_cdrd_cdrd_nmbld_numxygrid_cdlst_updt_dtdata_orgnfile_namebase_ymd
90KCSSRPO21N000000091장소기타문화공간8243406강진덕수학교<NA><NA>20206특수학교4681036023100400003전라남도강진군성전면송월리40-346810360234681036000468103284049예향로181-13126.70701934.707515다라27335020210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
91KCSSRPO21N000000092장소기타문화공간8265692광명노인요양원<NA><NA>30218요양원4121010300102300000경기도광명시하안동<NA>23041210103004121063100412103000022오리로613126.87843237.455793다사45039820210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
92KCSSRPO21N000000093장소기타문화공간8265855금정노인요양원<NA><NA>30218요양원2641010300100390005부산광역시금정구청룡동<NA>39-526410103002641066500264104205427청룡예전로43번길25129.08896235.277699마라44599120210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
93KCSSRPO21N000000094장소기타문화공간8265859작은자의집<NA><NA>30218요양원4775033032103130000경상북도청송군현동면개일리31347750330324775033000477504748018개일월매길351129.02654436.250544마바37107020210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
94KCSSRPO21N000000095장소기타문화공간8265899사랑의집<NA><NA>30218요양원2871033021105480003인천광역시강화군길상면온수리548-328710330212871033000287103157014길상로329126.49202337.640324다사11060520210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
95KCSSRPO21N000000096장소기타문화공간8265911늘푸른집<NA><NA>30218요양원4511313100101940006전라북도전주시 덕진구만성동<NA>194-645113131004511366500451133266068정여립로1028-8127.08148635.840847다마62260520210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
96KCSSRPO21N000000097장소기타문화공간8266017뉴양촌수양관<NA><NA>30218요양원4423039025104890004충청남도논산시양촌면신기리489-444230390254423039000442304565555신기길25-76127.25612436.117439다마78091120210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
97KCSSRPO21N000000098장소기타문화공간8271358새감마을<NA><NA>200106보육원/양로원4481036021103940006충청남도예산군덕산면읍내리394-644810360214481036000448103254218봉운로81-82126.66298336.70787다바25256920210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
98KCSSRPO21N000000099장소기타문화공간8271502화순자애원<NA><NA>200106보육원/양로원4679025029101500005전라남도화순군화순읍다지리150-546790250294679025000467903291052충의로273-1127.00240435.046003다라54672420210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916
99KCSSRPO21N000000100장소기타문화공간8271640신아재활원<NA><NA>200106보육원/양로원1171011300102510023서울특별시송파구거여동<NA>251-2311710113001171053200117104169365양산로8길17127.14564437.491559다사68643620210916170801KTKC_501_DMSTC_MCST_SSRFT_202120210916