Overview

Dataset statistics

Number of variables27
Number of observations100
Missing cells267
Missing cells (%)9.9%
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
branch_nm 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 99 (99.0%) missing valuesMissing
sub_nm has 100 (100.0%) missing valuesMissing
ri_nm has 59 (59.0%) missing valuesMissing
rd_cd has 3 (3.0%) missing valuesMissing
rd_nm has 3 (3.0%) missing valuesMissing
bld_num has 3 (3.0%) missing valuesMissing
id has unique valuesUnique
id_poi has unique valuesUnique
pnu has unique valuesUnique
x has unique valuesUnique
y has unique valuesUnique
sub_nm is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 10:12:54.892340
Analysis finished2023-12-10 10:12:55.940112
Duration1.05 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
2023-12-10T19:12:56.197078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1900
Distinct characters18
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 rowKCDMEPO21N000000001
2nd rowKCDMEPO21N000009891
3rd rowKCDMEPO21N000000003
4th rowKCDMEPO21N000000004
5th rowKCDMEPO21N000000005
ValueCountFrequency (%)
kcdmepo21n000000001 1
 
1.0%
kcdmepo21n000000063 1
 
1.0%
kcdmepo21n000000074 1
 
1.0%
kcdmepo21n000000073 1
 
1.0%
kcdmepo21n000000072 1
 
1.0%
kcdmepo21n000000071 1
 
1.0%
kcdmepo21n000000070 1
 
1.0%
kcdmepo21n000000069 1
 
1.0%
kcdmepo21n000000068 1
 
1.0%
kcdmepo21n000000067 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T19:12:56.805215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 711
37.4%
1 122
 
6.4%
2 119
 
6.3%
K 100
 
5.3%
O 100
 
5.3%
C 100
 
5.3%
N 100
 
5.3%
P 100
 
5.3%
E 100
 
5.3%
M 100
 
5.3%
Other values (8) 248
 
13.1%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 711
64.6%
1 122
 
11.1%
2 119
 
10.8%
9 26
 
2.4%
8 22
 
2.0%
3 20
 
1.8%
4 20
 
1.8%
5 20
 
1.8%
6 20
 
1.8%
7 20
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
K 100
12.5%
O 100
12.5%
C 100
12.5%
N 100
12.5%
P 100
12.5%
E 100
12.5%
M 100
12.5%
D 100
12.5%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 711
64.6%
1 122
 
11.1%
2 119
 
10.8%
9 26
 
2.4%
8 22
 
2.0%
3 20
 
1.8%
4 20
 
1.8%
5 20
 
1.8%
6 20
 
1.8%
7 20
 
1.8%
Latin
ValueCountFrequency (%)
K 100
12.5%
O 100
12.5%
C 100
12.5%
N 100
12.5%
P 100
12.5%
E 100
12.5%
M 100
12.5%
D 100
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 711
37.4%
1 122
 
6.4%
2 119
 
6.3%
K 100
 
5.3%
O 100
 
5.3%
C 100
 
5.3%
N 100
 
5.3%
P 100
 
5.3%
E 100
 
5.3%
M 100
 
5.3%
Other values (8) 248
 
13.1%

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

2023-12-10T19:12:57.224010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:57.418732image/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
문화시설
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화시설 100
100.0%

Length

2023-12-10T19:12:57.609082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:57.779980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화시설 100
100.0%

id_poi
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14016279
Minimum263780
Maximum22020688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:57.995730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum263780
5-th percentile6064205
Q111382816
median14229068
Q316864804
95-th percentile18190892
Maximum22020688
Range21756908
Interquartile range (IQR)5481988

Descriptive statistics

Standard deviation4009682.8
Coefficient of variation (CV)0.28607327
Kurtosis1.7207403
Mean14016279
Median Absolute Deviation (MAD)2811731
Skewness-1.0570871
Sum1.4016279 × 109
Variance1.6077556 × 1013
MonotonicityNot monotonic
2023-12-10T19:12:58.468886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263780 1
 
1.0%
16493988 1
 
1.0%
16573031 1
 
1.0%
16563410 1
 
1.0%
16524872 1
 
1.0%
16497644 1
 
1.0%
16496145 1
 
1.0%
16494559 1
 
1.0%
16494439 1
 
1.0%
16494351 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
263780 1
1.0%
346936 1
1.0%
4962734 1
1.0%
5493740 1
1.0%
5731096 1
1.0%
6081737 1
1.0%
7287788 1
1.0%
7303114 1
1.0%
7303156 1
1.0%
9650830 1
1.0%
ValueCountFrequency (%)
22020688 1
1.0%
21921373 1
1.0%
21447472 1
1.0%
18428636 1
1.0%
18318731 1
1.0%
18184164 1
1.0%
18145345 1
1.0%
17951662 1
1.0%
17739245 1
1.0%
17736489 1
1.0%

poi_nm
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:12:58.881230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.87
Min length3

Characters and Unicode

Total characters687
Distinct characters229
Distinct categories3 ?
Distinct scripts3 ?
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 row청소년소극장
2nd row행주아트홀
3rd row흥사단동숭미술관
4th rowLEEPARK갤러리
5th row조선일보미술관
ValueCountFrequency (%)
샘터화랑 2
 
2.0%
청소년소극장 1
 
1.0%
별할매작업실 1
 
1.0%
향당무전수교육관 1
 
1.0%
헤이리예술마을 1
 
1.0%
함양문화예술회관 1
 
1.0%
신한아트홀 1
 
1.0%
un군초전기념관 1
 
1.0%
환경전시관 1
 
1.0%
송스갤러리 1
 
1.0%
Other values (89) 89
89.0%
2023-12-10T19:12:59.536177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
7.6%
18
 
2.6%
17
 
2.5%
15
 
2.2%
14
 
2.0%
14
 
2.0%
14
 
2.0%
12
 
1.7%
12
 
1.7%
11
 
1.6%
Other values (219) 508
73.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 663
96.5%
Uppercase Letter 14
 
2.0%
Decimal Number 10
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
 
7.8%
18
 
2.7%
17
 
2.6%
15
 
2.3%
14
 
2.1%
14
 
2.1%
14
 
2.1%
12
 
1.8%
12
 
1.8%
11
 
1.7%
Other values (202) 484
73.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
14.3%
E 2
14.3%
L 1
7.1%
P 1
7.1%
N 1
7.1%
U 1
7.1%
C 1
7.1%
M 1
7.1%
A 1
7.1%
R 1
7.1%
Other values (2) 2
14.3%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
6 2
20.0%
3 2
20.0%
5 1
 
10.0%
9 1
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 663
96.5%
Latin 14
 
2.0%
Common 10
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
 
7.8%
18
 
2.7%
17
 
2.6%
15
 
2.3%
14
 
2.1%
14
 
2.1%
14
 
2.1%
12
 
1.8%
12
 
1.8%
11
 
1.7%
Other values (202) 484
73.0%
Latin
ValueCountFrequency (%)
B 2
14.3%
E 2
14.3%
L 1
7.1%
P 1
7.1%
N 1
7.1%
U 1
7.1%
C 1
7.1%
M 1
7.1%
A 1
7.1%
R 1
7.1%
Other values (2) 2
14.3%
Common
ValueCountFrequency (%)
1 4
40.0%
6 2
20.0%
3 2
20.0%
5 1
 
10.0%
9 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 663
96.5%
ASCII 24
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
52
 
7.8%
18
 
2.7%
17
 
2.6%
15
 
2.3%
14
 
2.1%
14
 
2.1%
14
 
2.1%
12
 
1.8%
12
 
1.8%
11
 
1.7%
Other values (202) 484
73.0%
ASCII
ValueCountFrequency (%)
1 4
16.7%
B 2
 
8.3%
6 2
 
8.3%
3 2
 
8.3%
E 2
 
8.3%
L 1
 
4.2%
P 1
 
4.2%
N 1
 
4.2%
U 1
 
4.2%
C 1
 
4.2%
Other values (7) 7
29.2%

branch_nm
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size932.0 B
2023-12-10T19:12:59.765682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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 row압해
ValueCountFrequency (%)
압해 1
100.0%
2023-12-10T19:13:00.149346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

sub_nm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

mcate_cd
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103127.65
Minimum100101
Maximum200110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:00.355045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100101
5-th percentile100102
Q1100103
median100103
Q3100203
95-th percentile100203.05
Maximum200110
Range100009
Interquartile range (IQR)100

Descriptive statistics

Standard deviation17141.594
Coefficient of variation (CV)0.16621725
Kurtosis29.89737
Mean103127.65
Median Absolute Deviation (MAD)2
Skewness5.5945946
Sum10312765
Variance2.9383424 × 108
MonotonicityNot monotonic
2023-12-10T19:13:00.547941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
100103 45
45.0%
100203 22
22.0%
100106 11
 
11.0%
100105 10
 
10.0%
100101 4
 
4.0%
100102 3
 
3.0%
200110 3
 
3.0%
100204 2
 
2.0%
ValueCountFrequency (%)
100101 4
 
4.0%
100102 3
 
3.0%
100103 45
45.0%
100105 10
 
10.0%
100106 11
 
11.0%
100203 22
22.0%
100204 2
 
2.0%
200110 3
 
3.0%
ValueCountFrequency (%)
200110 3
 
3.0%
100204 2
 
2.0%
100203 22
22.0%
100106 11
 
11.0%
100105 10
 
10.0%
100103 45
45.0%
100102 3
 
3.0%
100101 4
 
4.0%

mcate_nm
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
기타전시/박물관
45 
공연/연극/문화센터
22 
소형갤러리
11 
미술관
10 
대형전시/박물관
 
4
Other values (3)

Length

Max length10
Median length8
Mean length7.54
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공연/연극/문화센터
2nd row공연/연극/문화센터
3rd row미술관
4th row소형갤러리
5th row미술관

Common Values

ValueCountFrequency (%)
기타전시/박물관 45
45.0%
공연/연극/문화센터 22
22.0%
소형갤러리 11
 
11.0%
미술관 10
 
10.0%
대형전시/박물관 4
 
4.0%
대형기념관/묘역 3
 
3.0%
구민/시민회관 3
 
3.0%
대형예술센터 2
 
2.0%

Length

2023-12-10T19:13:00.780608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:01.006463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타전시/박물관 45
45.0%
공연/연극/문화센터 22
22.0%
소형갤러리 11
 
11.0%
미술관 10
 
10.0%
대형전시/박물관 4
 
4.0%
대형기념관/묘역 3
 
3.0%
구민/시민회관 3
 
3.0%
대형예술센터 2
 
2.0%

pnu
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4143808 × 1018
Minimum1.1110108 × 1018
Maximum5.0130111 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:01.319257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110108 × 1018
5-th percentile1.1110166 × 1018
Q11.1680107 × 1018
median4.1745348 × 1018
Q34.6752788 × 1018
95-th percentile4.8725258 × 1018
Maximum5.0130111 × 1018
Range3.9020003 × 1018
Interquartile range (IQR)3.5072681 × 1018

Descriptive statistics

Standard deviation1.5122718 × 1018
Coefficient of variation (CV)0.44291247
Kurtosis-1.3021434
Mean3.4143808 × 1018
Median Absolute Deviation (MAD)6.1049826 × 1017
Skewness-0.69567275
Sum-9.0500579 × 1018
Variance2.2869661 × 1036
MonotonicityNot monotonic
2023-12-10T19:13:01.601516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2623010100102600005 1
 
1.0%
4518010100110160012 1
 
1.0%
4183034023109000000 1
 
1.0%
4155031026102100000 1
 
1.0%
4148032022116520539 1
 
1.0%
4887025024110440006 1
 
1.0%
1168010800101060004 1
 
1.0%
4137011100106400000 1
 
1.0%
4613012000101690000 1
 
1.0%
1168010500100690007 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1111010800101120000 1
1.0%
1111011900100010001 1
1.0%
1111011900100810003 1
1.0%
1111013200100010000 1
1.0%
1111016500101220001 1
1.0%
1111016600101780001 1
1.0%
1111016800100010028 1
1.0%
1111017000100420000 1
1.0%
1114011100100010000 1
1.0%
1114016700100010016 1
1.0%
ValueCountFrequency (%)
5013011100117990000 1
1.0%
5011025924200140009 1
1.0%
5011010700111640000 1
1.0%
4887025024110440006 1
1.0%
4882040025113970003 1
1.0%
4872025023108770014 1
1.0%
4833011500104370002 1
1.0%
4831039029113710000 1
1.0%
4825010800111310000 1
1.0%
4817033028101050003 1
1.0%

sido_nm
Categorical

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울특별시
28 
경기도
18 
전라남도
경상남도
경상북도
Other values (11)
28 

Length

Max length7
Median length5
Mean length4.23
Min length3

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row부산광역시
2nd row경기도
3rd row서울특별시
4th row경기도
5th row서울특별시

Common Values

ValueCountFrequency (%)
서울특별시 28
28.0%
경기도 18
18.0%
전라남도 9
 
9.0%
경상남도 9
 
9.0%
경상북도 8
 
8.0%
강원도 5
 
5.0%
충청남도 4
 
4.0%
전라북도 4
 
4.0%
제주특별자치도 3
 
3.0%
충청북도 3
 
3.0%
Other values (6) 9
 
9.0%

Length

2023-12-10T19:13:01.840749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 28
28.0%
경기도 18
18.0%
전라남도 9
 
9.0%
경상남도 9
 
9.0%
경상북도 8
 
8.0%
강원도 5
 
5.0%
충청남도 4
 
4.0%
전라북도 4
 
4.0%
제주특별자치도 3
 
3.0%
충청북도 3
 
3.0%
Other values (6) 9
 
9.0%

sgg_nm
Text

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:13:02.265784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.21
Min length2

Characters and Unicode

Total characters321
Distinct characters74
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

Unique53 ?
Unique (%)53.0%

Sample

1st row부산진구
2nd row고양시 덕양구
3rd row종로구
4th row파주시
5th row중구
ValueCountFrequency (%)
강남구 11
 
10.4%
종로구 8
 
7.5%
파주시 4
 
3.8%
중구 3
 
2.8%
양평군 3
 
2.8%
남구 3
 
2.8%
남양주시 2
 
1.9%
제주시 2
 
1.9%
여주시 2
 
1.9%
포항시 2
 
1.9%
Other values (60) 66
62.3%
2023-12-10T19:13:03.216504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
14.0%
41
 
12.8%
22
 
6.9%
19
 
5.9%
18
 
5.6%
12
 
3.7%
12
 
3.7%
8
 
2.5%
8
 
2.5%
7
 
2.2%
Other values (64) 129
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
98.1%
Space Separator 6
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
 
14.3%
41
 
13.0%
22
 
7.0%
19
 
6.0%
18
 
5.7%
12
 
3.8%
12
 
3.8%
8
 
2.5%
8
 
2.5%
7
 
2.2%
Other values (63) 123
39.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
98.1%
Common 6
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
 
14.3%
41
 
13.0%
22
 
7.0%
19
 
6.0%
18
 
5.7%
12
 
3.8%
12
 
3.8%
8
 
2.5%
8
 
2.5%
7
 
2.2%
Other values (63) 123
39.0%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
98.1%
ASCII 6
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
45
 
14.3%
41
 
13.0%
22
 
7.0%
19
 
6.0%
18
 
5.7%
12
 
3.8%
12
 
3.8%
8
 
2.5%
8
 
2.5%
7
 
2.2%
Other values (63) 123
39.0%
ASCII
ValueCountFrequency (%)
6
100.0%
Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:13:03.702866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.04
Min length2

Characters and Unicode

Total characters304
Distinct characters115
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

Unique83 ?
Unique (%)83.0%

Sample

1st row양정동
2nd row행주외동
3rd row동숭동
4th row탄현면
5th row정동
ValueCountFrequency (%)
신사동 5
 
5.0%
논현동 2
 
2.0%
서초동 2
 
2.0%
삼성동 2
 
2.0%
세종로 2
 
2.0%
청담동 2
 
2.0%
탄현면 2
 
2.0%
효자동 1
 
1.0%
보개면 1
 
1.0%
함양읍 1
 
1.0%
Other values (80) 80
80.0%
2023-12-10T19:13:04.439678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
19.4%
26
 
8.6%
15
 
4.9%
6
 
2.0%
5
 
1.6%
5
 
1.6%
5
 
1.6%
5
 
1.6%
4
 
1.3%
4
 
1.3%
Other values (105) 170
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
99.3%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
59
 
19.5%
26
 
8.6%
15
 
5.0%
6
 
2.0%
5
 
1.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
4
 
1.3%
4
 
1.3%
Other values (104) 168
55.6%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
99.3%
Common 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
59
 
19.5%
26
 
8.6%
15
 
5.0%
6
 
2.0%
5
 
1.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
4
 
1.3%
4
 
1.3%
Other values (104) 168
55.6%
Common
ValueCountFrequency (%)
1 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
99.3%
ASCII 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
59
 
19.5%
26
 
8.6%
15
 
5.0%
6
 
2.0%
5
 
1.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
4
 
1.3%
4
 
1.3%
Other values (104) 168
55.6%
ASCII
ValueCountFrequency (%)
1 2
100.0%

ri_nm
Text

MISSING 

Distinct40
Distinct (%)97.6%
Missing59
Missing (%)59.0%
Memory size932.0 B
2023-12-10T19:13:04.829843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9512195
Min length2

Characters and Unicode

Total characters121
Distinct characters59
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

Unique39 ?
Unique (%)95.1%

Sample

1st row법흥리
2nd row역리
3rd row선운리
4th row장평리
5th row계마리
ValueCountFrequency (%)
법흥리 2
 
4.9%
현리 1
 
2.4%
고산리 1
 
2.4%
태하리 1
 
2.4%
원리리 1
 
2.4%
대신리 1
 
2.4%
하천리 1
 
2.4%
대음리 1
 
2.4%
이호리 1
 
2.4%
노문리 1
 
2.4%
Other values (30) 30
73.2%
2023-12-10T19:13:05.403059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
34.7%
5
 
4.1%
3
 
2.5%
3
 
2.5%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
Other values (49) 56
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
34.7%
5
 
4.1%
3
 
2.5%
3
 
2.5%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
Other values (49) 56
46.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
34.7%
5
 
4.1%
3
 
2.5%
3
 
2.5%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
Other values (49) 56
46.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
42
34.7%
5
 
4.1%
3
 
2.5%
3
 
2.5%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
2
 
1.7%
Other values (49) 56
46.3%

beonji
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:13:05.864809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.33
Min length1

Characters and Unicode

Total characters433
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

Unique97 ?
Unique (%)97.0%

Sample

1st row260-5
2nd row54-5
3rd row1-28
4th row1652-522
5th row1-16
ValueCountFrequency (%)
1 3
 
3.0%
1652-539 1
 
1.0%
1044-6 1
 
1.0%
106-4 1
 
1.0%
640 1
 
1.0%
169 1
 
1.0%
69-7 1
 
1.0%
1300 1
 
1.0%
249-2 1
 
1.0%
1016-12 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T19:13:06.603371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 77
17.8%
- 64
14.8%
3 46
10.6%
2 41
9.5%
4 40
9.2%
6 35
8.1%
5 34
7.9%
9 28
 
6.5%
7 23
 
5.3%
0 21
 
4.8%
Other values (2) 24
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 366
84.5%
Dash Punctuation 64
 
14.8%
Other Letter 3
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 77
21.0%
3 46
12.6%
2 41
11.2%
4 40
10.9%
6 35
9.6%
5 34
9.3%
9 28
 
7.7%
7 23
 
6.3%
0 21
 
5.7%
8 21
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Other Letter
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 430
99.3%
Hangul 3
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 77
17.9%
- 64
14.9%
3 46
10.7%
2 41
9.5%
4 40
9.3%
6 35
8.1%
5 34
7.9%
9 28
 
6.5%
7 23
 
5.3%
0 21
 
4.9%
Hangul
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 430
99.3%
Hangul 3
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 77
17.9%
- 64
14.9%
3 46
10.7%
2 41
9.5%
4 40
9.3%
6 35
8.1%
5 34
7.9%
9 28
 
6.5%
7 23
 
5.3%
0 21
 
4.9%
Hangul
ValueCountFrequency (%)
3
100.0%

badm_cd
Real number (ℝ)

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4143808 × 109
Minimum1.1110108 × 109
Maximum5.0130111 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:06.869987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110108 × 109
5-th percentile1.1110166 × 109
Q11.1680107 × 109
median4.1745348 × 109
Q34.6752788 × 109
95-th percentile4.8725258 × 109
Maximum5.0130111 × 109
Range3.9020003 × 109
Interquartile range (IQR)3.5072681 × 109

Descriptive statistics

Standard deviation1.5122718 × 109
Coefficient of variation (CV)0.44291247
Kurtosis-1.3021434
Mean3.4143808 × 109
Median Absolute Deviation (MAD)6.1049826 × 108
Skewness-0.69567275
Sum3.4143808 × 1011
Variance2.2869661 × 1018
MonotonicityNot monotonic
2023-12-10T19:13:07.161822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1168010700 5
 
5.0%
1168010400 2
 
2.0%
4148032022 2
 
2.0%
1165010800 2
 
2.0%
1168010500 2
 
2.0%
1111011900 2
 
2.0%
4311110500 1
 
1.0%
4575025022 1
 
1.0%
4183034023 1
 
1.0%
4155031026 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
1111010800 1
1.0%
1111011900 2
2.0%
1111013200 1
1.0%
1111016500 1
1.0%
1111016600 1
1.0%
1111016800 1
1.0%
1111017000 1
1.0%
1114011100 1
1.0%
1114016700 1
1.0%
1117013000 1
1.0%
ValueCountFrequency (%)
5013011100 1
1.0%
5011025924 1
1.0%
5011010700 1
1.0%
4887025024 1
1.0%
4882040025 1
1.0%
4872025023 1
1.0%
4833011500 1
1.0%
4831039029 1
1.0%
4825010800 1
1.0%
4817033028 1
1.0%

hadm_cd
Real number (ℝ)

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.414408 × 109
Minimum1.1110515 × 109
Maximum5.013056 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:07.542979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110515 × 109
5-th percentile1.111064 × 109
Q11.1680565 × 109
median4.1745418 × 109
Q34.6752788 × 109
95-th percentile4.8725258 × 109
Maximum5.013056 × 109
Range3.9020045 × 109
Interquartile range (IQR)3.5072222 × 109

Descriptive statistics

Standard deviation1.5122581 × 109
Coefficient of variation (CV)0.44290493
Kurtosis-1.3021372
Mean3.414408 × 109
Median Absolute Deviation (MAD)6.1049125 × 108
Skewness-0.69567454
Sum3.414408 × 1011
Variance2.2869247 × 1018
MonotonicityNot monotonic
2023-12-10T19:13:07.938010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1111064000 3
 
3.0%
1168051000 3
 
3.0%
1111061500 3
 
3.0%
1168054500 3
 
3.0%
1168056500 2
 
2.0%
4148032000 2
 
2.0%
1114052000 2
 
2.0%
1168058000 2
 
2.0%
4311154500 1
 
1.0%
4183034000 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
1111051500 1
 
1.0%
1111061500 3
3.0%
1111064000 3
3.0%
1111065000 1
 
1.0%
1114052000 2
2.0%
1117065000 1
 
1.0%
1117069000 1
 
1.0%
1135060000 1
 
1.0%
1144066000 1
 
1.0%
1159063000 1
 
1.0%
ValueCountFrequency (%)
5013056000 1
1.0%
5011059000 1
1.0%
5011025900 1
1.0%
4887025000 1
1.0%
4882040000 1
1.0%
4872025000 1
1.0%
4833054000 1
1.0%
4831039000 1
1.0%
4825054000 1
1.0%
4817033000 1
1.0%

rd_cd
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)96.9%
Missing3
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean3.4156052 × 1011
Minimum1.1110201 × 1011
Maximum5.0130335 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:08.295506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110201 × 1011
5-th percentile1.111031 × 1011
Q11.1680417 × 1011
median4.1820301 × 1011
Q34.6730466 × 1011
95-th percentile4.8740482 × 1011
Maximum5.0130335 × 1011
Range3.9020135 × 1011
Interquartile range (IQR)3.505005 × 1011

Descriptive statistics

Standard deviation1.5097355 × 1011
Coefficient of variation (CV)0.44201111
Kurtosis-1.2949966
Mean3.4156052 × 1011
Median Absolute Deviation (MAD)5.9401739 × 1010
Skewness-0.69823336
Sum3.3131371 × 1013
Variance2.2793012 × 1022
MonotonicityNot monotonic
2023-12-10T19:13:08.679950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111103100002 2
 
2.0%
414804418865 2
 
2.0%
116803005086 2
 
2.0%
431114508364 1
 
1.0%
442003253060 1
 
1.0%
457503277037 1
 
1.0%
418304452127 1
 
1.0%
415503208043 1
 
1.0%
488704838452 1
 
1.0%
413702012013 1
 
1.0%
Other values (84) 84
84.0%
(Missing) 3
 
3.0%
ValueCountFrequency (%)
111102005001 1
1.0%
111103100002 2
2.0%
111103100005 1
1.0%
111103100010 1
1.0%
111103100012 1
1.0%
111104100050 1
1.0%
111104100544 1
1.0%
111403101001 1
1.0%
111404103195 1
1.0%
111703102011 1
1.0%
ValueCountFrequency (%)
501303350277 1
1.0%
501103349182 1
1.0%
501103349082 1
1.0%
488704838452 1
1.0%
488204826262 1
1.0%
487204817254 1
1.0%
483304814211 1
1.0%
483103337030 1
1.0%
482502335001 1
1.0%
481293331046 1
1.0%

rd_nm
Text

MISSING 

Distinct94
Distinct (%)96.9%
Missing3
Missing (%)3.0%
Memory size932.0 B
2023-12-10T19:13:09.265053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.6701031
Min length3

Characters and Unicode

Total characters453
Distinct characters145
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

Unique91 ?
Unique (%)93.8%

Sample

1st row동평로405번길
2nd row행주산성로
3rd row대학로
4th row헤이리마을길
5th row세종대로21길
ValueCountFrequency (%)
헤이리마을길 2
 
2.1%
대학로 2
 
2.1%
언주로 2
 
2.1%
동해안로 1
 
1.0%
동평로405번길 1
 
1.0%
호국로 1
 
1.0%
원통이길 1
 
1.0%
종합운동장로 1
 
1.0%
필봉산길 1
 
1.0%
경기대로 1
 
1.0%
Other values (84) 84
86.6%
2023-12-10T19:13:10.197591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
 
16.3%
48
 
10.6%
18
 
4.0%
1 16
 
3.5%
2 11
 
2.4%
3 9
 
2.0%
9
 
2.0%
8
 
1.8%
8
 
1.8%
6
 
1.3%
Other values (135) 246
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 392
86.5%
Decimal Number 61
 
13.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
74
 
18.9%
48
 
12.2%
18
 
4.6%
9
 
2.3%
8
 
2.0%
8
 
2.0%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
Other values (125) 205
52.3%
Decimal Number
ValueCountFrequency (%)
1 16
26.2%
2 11
18.0%
3 9
14.8%
4 6
 
9.8%
7 4
 
6.6%
5 4
 
6.6%
0 3
 
4.9%
9 3
 
4.9%
8 3
 
4.9%
6 2
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 392
86.5%
Common 61
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
74
 
18.9%
48
 
12.2%
18
 
4.6%
9
 
2.3%
8
 
2.0%
8
 
2.0%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
Other values (125) 205
52.3%
Common
ValueCountFrequency (%)
1 16
26.2%
2 11
18.0%
3 9
14.8%
4 6
 
9.8%
7 4
 
6.6%
5 4
 
6.6%
0 3
 
4.9%
9 3
 
4.9%
8 3
 
4.9%
6 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 392
86.5%
ASCII 61
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
74
 
18.9%
48
 
12.2%
18
 
4.6%
9
 
2.3%
8
 
2.0%
8
 
2.0%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
Other values (125) 205
52.3%
ASCII
ValueCountFrequency (%)
1 16
26.2%
2 11
18.0%
3 9
14.8%
4 6
 
9.8%
7 4
 
6.6%
5 4
 
6.6%
0 3
 
4.9%
9 3
 
4.9%
8 3
 
4.9%
6 2
 
3.3%

bld_num
Text

MISSING 

Distinct85
Distinct (%)87.6%
Missing3
Missing (%)3.0%
Memory size932.0 B
2023-12-10T19:13:10.725524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.0412371
Min length1

Characters and Unicode

Total characters295
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

Unique75 ?
Unique (%)77.3%

Sample

1st row85
2nd row38
3rd row122
4th row82-136
5th row33
ValueCountFrequency (%)
33 3
 
3.1%
60 3
 
3.1%
13 2
 
2.1%
38 2
 
2.1%
214 2
 
2.1%
5 2
 
2.1%
16 2
 
2.1%
174 2
 
2.1%
32 2
 
2.1%
167 2
 
2.1%
Other values (75) 75
77.3%
2023-12-10T19:13:11.524026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 60
20.3%
2 39
13.2%
3 36
12.2%
4 26
8.8%
5 26
8.8%
6 23
 
7.8%
7 20
 
6.8%
8 20
 
6.8%
- 20
 
6.8%
0 16
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 275
93.2%
Dash Punctuation 20
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 60
21.8%
2 39
14.2%
3 36
13.1%
4 26
9.5%
5 26
9.5%
6 23
 
8.4%
7 20
 
7.3%
8 20
 
7.3%
0 16
 
5.8%
9 9
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 295
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 60
20.3%
2 39
13.2%
3 36
12.2%
4 26
8.8%
5 26
8.8%
6 23
 
7.8%
7 20
 
6.8%
8 20
 
6.8%
- 20
 
6.8%
0 16
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 60
20.3%
2 39
13.2%
3 36
12.2%
4 26
8.8%
5 26
8.8%
6 23
 
7.8%
7 20
 
6.8%
8 20
 
6.8%
- 20
 
6.8%
0 16
 
5.4%

x
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.47624
Minimum126.31097
Maximum130.80017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:11.817249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.31097
5-th percentile126.58706
Q1126.9756
median127.07749
Q3127.72671
95-th percentile129.13035
Maximum130.80017
Range4.4891921
Interquartile range (IQR)0.75111404

Descriptive statistics

Standard deviation0.84262646
Coefficient of variation (CV)0.0066100667
Kurtosis1.6339411
Mean127.47624
Median Absolute Deviation (MAD)0.37015235
Skewness1.3373777
Sum12747.624
Variance0.71001935
MonotonicityNot monotonic
2023-12-10T19:13:12.087789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.071733367367 1
 
1.0%
126.861397031705 1
 
1.0%
127.453546387285 1
 
1.0%
127.329985407188 1
 
1.0%
126.703832055264 1
 
1.0%
127.722305392167 1
 
1.0%
127.03582250067 1
 
1.0%
127.049282371052 1
 
1.0%
127.700997072437 1
 
1.0%
127.053309066082 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
126.310973241932 1
1.0%
126.425096423687 1
1.0%
126.437432066587 1
1.0%
126.530385253979 1
1.0%
126.552899122702 1
1.0%
126.588857433337 1
1.0%
126.609935274102 1
1.0%
126.670352548025 1
1.0%
126.672353238483 1
1.0%
126.678435201696 1
1.0%
ValueCountFrequency (%)
130.800165344554 1
1.0%
129.382729818493 1
1.0%
129.368782141544 1
1.0%
129.268558645441 1
1.0%
129.166870805985 1
1.0%
129.12842613169 1
1.0%
129.071733367367 1
1.0%
128.925693302721 1
1.0%
128.869379580137 1
1.0%
128.810624252908 1
1.0%

y
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.627477
Minimum33.28952
Maximum38.207413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:13:12.394334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.28952
5-th percentile34.746007
Q135.538849
median37.28176
Q337.539829
95-th percentile37.78804
Maximum38.207413
Range4.9178923
Interquartile range (IQR)2.0009799

Descriptive statistics

Standard deviation1.1773779
Coefficient of variation (CV)0.032144664
Kurtosis-0.23274785
Mean36.627477
Median Absolute Deviation (MAD)0.45910123
Skewness-0.89481693
Sum3662.7477
Variance1.3862188
MonotonicityNot monotonic
2023-12-10T19:13:12.709712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.1772962355308 1
 
1.0%
35.583893896145 1
 
1.0%
37.535567591943 1
 
1.0%
37.0122443854386 1
 
1.0%
37.7880388443976 1
 
1.0%
35.5247708258071 1
 
1.0%
37.517689081993 1
 
1.0%
37.1844630624503 1
 
1.0%
34.7542312415784 1
 
1.0%
37.515359981966 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
33.2895202638364 1
1.0%
33.5158528773788 1
1.0%
33.5425566323813 1
1.0%
34.3244654166799 1
1.0%
34.5897402165799 1
1.0%
34.7542312415784 1
1.0%
34.8016271305781 1
1.0%
34.8665990377365 1
1.0%
34.9314092137659 1
1.0%
34.9430616135406 1
1.0%
ValueCountFrequency (%)
38.2074125360956 1
1.0%
37.8726122146055 1
1.0%
37.8576112089344 1
1.0%
37.8327967765069 1
1.0%
37.7880596028471 1
1.0%
37.7880388443976 1
1.0%
37.761260182169 1
1.0%
37.7203311286273 1
1.0%
37.6522536144359 1
1.0%
37.6514280017839 1
1.0%
Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:13:13.257621image/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

Unique96 ?
Unique (%)96.0%

Sample

1st row마라431880
2nd row다사402561
3rd row다사560537
4th row다사298767
5th row다사536521
ValueCountFrequency (%)
다사298767 2
 
2.0%
다사588476 2
 
2.0%
다사532535 1
 
1.0%
다바989480 1
 
1.0%
마라431880 1
 
1.0%
라사201858 1
 
1.0%
다바848904 1
 
1.0%
라마201254 1
 
1.0%
다사589465 1
 
1.0%
다사599096 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T19:13:14.057444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 82
10.2%
70
 
8.8%
1 66
 
8.2%
4 64
 
8.0%
3 59
 
7.4%
2 58
 
7.2%
6 56
 
7.0%
9 56
 
7.0%
8 54
 
6.8%
7 53
 
6.6%
Other values (7) 182
22.8%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 82
13.7%
1 66
11.0%
4 64
10.7%
3 59
9.8%
2 58
9.7%
6 56
9.3%
9 56
9.3%
8 54
9.0%
7 53
8.8%
0 52
8.7%
Other Letter
ValueCountFrequency (%)
70
35.0%
52
26.0%
31
15.5%
28
 
14.0%
16
 
8.0%
2
 
1.0%
1
 
0.5%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
5 82
13.7%
1 66
11.0%
4 64
10.7%
3 59
9.8%
2 58
9.7%
6 56
9.3%
9 56
9.3%
8 54
9.0%
7 53
8.8%
0 52
8.7%
Hangul
ValueCountFrequency (%)
70
35.0%
52
26.0%
31
15.5%
28
 
14.0%
16
 
8.0%
2
 
1.0%
1
 
0.5%

Most occurring blocks

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

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 82
13.7%
1 66
11.0%
4 64
10.7%
3 59
9.8%
2 58
9.7%
6 56
9.3%
9 56
9.3%
8 54
9.0%
7 53
8.8%
0 52
8.7%
Hangul
ValueCountFrequency (%)
70
35.0%
52
26.0%
31
15.5%
28
 
14.0%
16
 
8.0%
2
 
1.0%
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

2023-12-10T19:13:14.326753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:14.515990image/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

2023-12-10T19:13:14.881193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:15.062951image/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_491_DMSTC_MCST_EHBLL_2021
100 

Length

Max length28
Median length28
Mean length28
Min length28

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKC_491_DMSTC_MCST_EHBLL_2021
2nd rowKC_491_DMSTC_MCST_EHBLL_2021
3rd rowKC_491_DMSTC_MCST_EHBLL_2021
4th rowKC_491_DMSTC_MCST_EHBLL_2021
5th rowKC_491_DMSTC_MCST_EHBLL_2021

Common Values

ValueCountFrequency (%)
KC_491_DMSTC_MCST_EHBLL_2021 100
100.0%

Length

2023-12-10T19:13:15.264969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:15.588716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kc_491_dmstc_mcst_ehbll_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

2023-12-10T19:13:15.853764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:13:16.066642image/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
0KCDMEPO21N000000001장소문화시설263780청소년소극장<NA><NA>100203공연/연극/문화센터2623010100102600005부산광역시부산진구양정동<NA>260-526230101002623057000262304187242동평로405번길85129.07173335.177296마라43188020210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
1KCDMEPO21N000009891장소문화시설21447472행주아트홀<NA><NA>100203공연/연극/문화센터4128112600100540005경기도고양시 덕양구행주외동<NA>54-541281126004128163000412813192074행주산성로38126.82285537.602586다사40256120210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
2KCDMEPO21N000000003장소문화시설346936흥사단동숭미술관<NA><NA>100105미술관1111016800100010028서울특별시종로구동숭동<NA>1-2811110168001111064000111103100002대학로122127.00225837.582227다사56053720210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
3KCDMEPO21N000000004장소문화시설4962734LEEPARK갤러리<NA><NA>100106소형갤러리4148032022116520522경기도파주시탄현면법흥리1652-52241480320224148032000414804418865헤이리마을길82-136126.7028537.78806다사29876720210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
4KCDMEPO21N000000005장소문화시설5493740조선일보미술관<NA><NA>100105미술관1114016700100010016서울특별시중구정동<NA>1-1611140167001114052000111404103195세종대로21길33126.97521937.567895다사53652120210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
5KCDMEPO21N000000006장소문화시설5731096박동진판소리관<NA><NA>100103기타전시/박물관4415011800103700000충청남도공주시무릉동<NA>37044150118004415059000441504553383무릉중말길22-14127.17059236.458084다바70428920210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
6KCDMEPO21N000000007장소문화시설6081737예화랑<NA><NA>100106소형갤러리1168010700105320003서울특별시강남구신사동<NA>532-311680107001168051000116804166508가로수길73127.02222937.522852다사57747120210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
7KCDMEPO21N000009892장소문화시설21921373영암군기록관<NA><NA>100103기타전시/박물관4683025026102910002전라남도영암군영암읍역리291-246830250264683025000468304685328역촌길5126.69802134.801627다라26645520210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
8KCDMEPO21N000000009장소문화시설7287788한전아트센터<NA><NA>100204대형예술센터1165010800113550000서울특별시서초구서초동<NA>135511650108001165052000116504163657효령로72길60127.02803837.485735다사58243020210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
9KCDMEPO21N000000010장소문화시설7303114국립현충원<NA><NA>100102대형기념관/묘역1159010600102940003서울특별시동작구동작동<NA>294-311590106001159063000<NA><NA><NA>126.97104437.499885다사53244620210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
idlclasmlsfcid_poipoi_nmbranch_nmsub_nmmcate_cdmcate_nmpnusido_nmsgg_nmbemd_nmri_nmbeonjibadm_cdhadm_cdrd_cdrd_nmbld_numxygrid_cdlst_updt_dtdata_orgnfile_namebase_ymd
90KCDMEPO21N000000091장소문화시설17609496현대백화점컬쳐파크문화센터<NA><NA>100203공연/연극/문화센터1168011000104500000서울특별시강남구압구정동<NA>45011680110001168054500116804166514압구정로29길21127.02768537.528675다사58247820210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
91KCDMEPO21N000000092장소문화시설17698018산림조합나무전시판매장<NA><NA>100103기타전시/박물관4812131021106060001경상남도창원시 의창구북면지개리606-148121310214812131000481213327004구룡로32128.61318835.286283마라01299520210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
92KCDMEPO21N000000093장소문화시설17733798프로젝트박스시야<NA><NA>100203공연/연극/문화센터1117013200100010102서울특별시용산구동빙고동<NA>1-10211170132001117069000111703102011장문로60126.99601937.526266다사55447520210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
93KCDMEPO21N000000094장소문화시설17736489소나무갤러리<NA><NA>100106소형갤러리4373036022103290005충청북도옥천군이원면장찬리329-543730360224373036000437304526347장찬길376-37127.58161636.245794라바07305320210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
94KCDMEPO21N000000095장소문화시설17739245금강로하스타워1<NA><NA>100103기타전시/박물관3023012600100050000대전광역시대덕구신탄진동<NA>530230126003023055000302303168003대청로167127.44413736.449272다바94927920210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
95KCDMEPO21N000000096장소문화시설17951662출판도시활판인쇄박물관활<NA><NA>100103기타전시/박물관4148011500106380005경기도파주시문발동<NA>638-541480115004148054000414804418895회동길445126.69413537.720331다사28969220210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
96KCDMEPO21N000000097장소문화시설18145345636아트<NA><NA>100106소형갤러리1168010700106360003서울특별시강남구신사동<NA>636-311680107001168054500116804166600언주로172길8-4127.03417137.527549다사58847620210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
97KCDMEPO21N000000098장소문화시설18184164수토역사전시관<NA><NA>100103기타전시/박물관4794031026105530000경상북도울릉군서면태하리55347940310264794031000479404778056태하2길28130.80016537.511002바사91750820210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
98KCDMEPO21N000000099장소문화시설18318731만해문학체험관<NA><NA>100103기타전시/박물관4480036025104920000충청남도홍성군결성면성곡리49244800360254480036000448004586198만해로318번길83126.55289936.562119다바15240920210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916
99KCDMEPO21N000000100장소문화시설18428636광림아트센터BBCH홀<NA><NA>100203공연/연극/문화센터1168010700105680002서울특별시강남구신사동<NA>568-211680107001168051000116804166154논현로163길33127.02529237.524068다사58047320210916170801KTKC_491_DMSTC_MCST_EHBLL_202120210916