Overview

Dataset statistics

Number of variables11
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory96.3 B

Variable types

Numeric1
Text6
Categorical4

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 has unique valuesUnique
시설명 has unique valuesUnique
시설장 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:51:45.995398
Analysis finished2024-03-14 02:51:46.579239
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-14T11:51:46.625508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-03-14T11:51:46.726331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%
Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T11:51:46.853510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters63
Distinct characters23
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

Unique8 ?
Unique (%)38.1%

Sample

1st row전주시
2nd row전주시
3rd row전주시
4th row전주시
5th row군산시
ValueCountFrequency (%)
전주시 4
19.0%
익산시 3
14.3%
군산시 2
9.5%
남원시 2
9.5%
김제시 2
9.5%
정읍시 1
 
4.8%
완주군 1
 
4.8%
진안군 1
 
4.8%
장수군 1
 
4.8%
임실군 1
 
4.8%
Other values (3) 3
14.3%
2024-03-14T11:51:47.074946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
22.2%
9
14.3%
5
 
7.9%
5
 
7.9%
4
 
6.3%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
Other values (13) 15
23.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
22.2%
9
14.3%
5
 
7.9%
5
 
7.9%
4
 
6.3%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
Other values (13) 15
23.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
22.2%
9
14.3%
5
 
7.9%
5
 
7.9%
4
 
6.3%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
Other values (13) 15
23.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
22.2%
9
14.3%
5
 
7.9%
5
 
7.9%
4
 
6.3%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
Other values (13) 15
23.8%

시설명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T11:51:47.237198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.1904762
Min length8

Characters and Unicode

Total characters193
Distinct characters62
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

Unique21 ?
Unique (%)100.0%

Sample

1st row샬롬노인복지센터
2nd row안골노인복지센터
3rd row늘푸른집주간보호센터
4th row이양재노인종합센터
5th row군산노인복지센터
ValueCountFrequency (%)
샬롬노인복지센터 1
 
4.8%
살림노인복지센터 1
 
4.8%
고창군노인복지센터 1
 
4.8%
순창은빛노인복지센터 1
 
4.8%
섬김노인복지센터 1
 
4.8%
밀알노인복지센터 1
 
4.8%
밀알재가노인복지센터 1
 
4.8%
용진노인복지센터 1
 
4.8%
김제노인전문요양원주간센터 1
 
4.8%
김제노인복지센터 1
 
4.8%
Other values (11) 11
52.4%
2024-03-14T11:51:47.510916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
10.4%
20
 
10.4%
20
 
10.4%
20
 
10.4%
18
 
9.3%
17
 
8.8%
4
 
2.1%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (52) 65
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20
 
10.4%
20
 
10.4%
20
 
10.4%
20
 
10.4%
18
 
9.3%
17
 
8.8%
4
 
2.1%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (52) 65
33.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
 
10.4%
20
 
10.4%
20
 
10.4%
20
 
10.4%
18
 
9.3%
17
 
8.8%
4
 
2.1%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (52) 65
33.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
20
 
10.4%
20
 
10.4%
20
 
10.4%
20
 
10.4%
18
 
9.3%
17
 
8.8%
4
 
2.1%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (52) 65
33.7%
Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T11:51:47.763905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.5238095
Min length2

Characters and Unicode

Total characters179
Distinct characters46
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

Unique11 ?
Unique (%)52.4%

Sample

1st row사복)한기장복지재단
2nd row사복)전주중부복지재단
3rd row사복)전주중앙복지원
4th row사복)혜산
5th row사복)삼동회
ValueCountFrequency (%)
개인 5
23.8%
사복)한기장복지재단 3
14.3%
재단)대한성공회유지재단 2
 
9.5%
사복)전주중부복지재단 1
 
4.8%
사복)전주중앙복지원 1
 
4.8%
사복)혜산 1
 
4.8%
사복)삼동회 1
 
4.8%
사복)임마누엘복지재단 1
 
4.8%
사복)전주카돌릭사회복지회 1
 
4.8%
사복)한국장로교복지재단 1
 
4.8%
Other values (4) 4
19.0%
2024-03-14T11:51:48.046306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
12.3%
) 16
 
8.9%
16
 
8.9%
16
 
8.9%
14
 
7.8%
14
 
7.8%
8
 
4.5%
6
 
3.4%
5
 
2.8%
5
 
2.8%
Other values (36) 57
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
91.1%
Close Punctuation 16
 
8.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
13.5%
16
 
9.8%
16
 
9.8%
14
 
8.6%
14
 
8.6%
8
 
4.9%
6
 
3.7%
5
 
3.1%
5
 
3.1%
5
 
3.1%
Other values (35) 52
31.9%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
91.1%
Common 16
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
13.5%
16
 
9.8%
16
 
9.8%
14
 
8.6%
14
 
8.6%
8
 
4.9%
6
 
3.7%
5
 
3.1%
5
 
3.1%
5
 
3.1%
Other values (35) 52
31.9%
Common
ValueCountFrequency (%)
) 16
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
91.1%
ASCII 16
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
22
13.5%
16
 
9.8%
16
 
9.8%
14
 
8.6%
14
 
8.6%
8
 
4.9%
6
 
3.7%
5
 
3.1%
5
 
3.1%
5
 
3.1%
Other values (35) 52
31.9%
ASCII
ValueCountFrequency (%)
) 16
100.0%

시설장
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T11:51:48.219078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.952381
Min length2

Characters and Unicode

Total characters62
Distinct characters42
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

Unique21 ?
Unique (%)100.0%

Sample

1st row김명희
2nd row이연숙
3rd row나송
4th row장봉석
5th row성헌규
ValueCountFrequency (%)
김명희 1
 
4.8%
민경완 1
 
4.8%
손형석 1
 
4.8%
윤희천 1
 
4.8%
김경순 1
 
4.8%
고강영 1
 
4.8%
송현순 1
 
4.8%
김정숙 1
 
4.8%
노기보 1
 
4.8%
박경란 1
 
4.8%
Other values (11) 11
52.4%
2024-03-14T11:51:48.483978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
9.7%
4
 
6.5%
3
 
4.8%
3
 
4.8%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
Other values (32) 33
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
9.7%
4
 
6.5%
3
 
4.8%
3
 
4.8%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
Other values (32) 33
53.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
9.7%
4
 
6.5%
3
 
4.8%
3
 
4.8%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
Other values (32) 33
53.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
9.7%
4
 
6.5%
3
 
4.8%
3
 
4.8%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
Other values (32) 33
53.2%

도로명주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T11:51:48.683822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/