Overview

Dataset statistics

Number of variables12
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory104.3 B

Variable types

Text7
Categorical1
Numeric4

Alerts

시군명 has unique valuesUnique
기관단체명 has unique valuesUnique
연락처 has unique valuesUnique
대표자명 has unique valuesUnique
센터장명 has unique valuesUnique
소재지우편번호 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:36:58.936987
Analysis finished2023-12-10 21:37:01.412563
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:37:01.584731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Characters and Unicode

Total characters96
Distinct characters38
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

Unique31 ?
Unique (%)100.0%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시
ValueCountFrequency (%)
가평군 1
 
3.2%
안양시 1
 
3.2%
하남시 1
 
3.2%
포천시 1
 
3.2%
평택시 1
 
3.2%
파주시 1
 
3.2%
이천시 1
 
3.2%
의정부시 1
 
3.2%
의왕시 1
 
3.2%
용인시 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T06:37:01.973591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

기관단체명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:37:02.225216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length15.193548
Min length12

Characters and Unicode

Total characters471
Distinct characters46
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

Unique31 ?
Unique (%)100.0%

Sample

1st row가평군건강가정다문화가족지원센터
2nd row고양시다문화가족지원센터
3rd row과천시건강가정다문화가족지원센터
4th row광명시건강가정다문화가족지원센터
5th row광주시건강가정다문화가족지원센터
ValueCountFrequency (%)
가평군건강가정다문화가족지원센터 1
 
3.2%
안양시건강가정다문화가족지원센터 1
 
3.2%
하남시다문화가족지원센터 1
 
3.2%
포천시건강가정다문화가족지원센터 1
 
3.2%
평택시건강가정다문화가족지원센터 1
 
3.2%
파주시건강가정다문화가족지원센터 1
 
3.2%
이천시건강가정다문화가족지원센터 1
 
3.2%
의정부시건강가정다문화가족지원센터 1
 
3.2%
의왕시건강가정다문화가족지원센터 1
 
3.2%
용인시건강가정다문화가족지원센터 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T06:37:02.663576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 56
11.9%
원 32
 
6.8%
화 32
 
6.8%
문 31
 
6.6%
터 31
 
6.6%
지 31
 
6.6%
족 31
 
6.6%
센 31
 
6.6%
다 31
 
6.6%
시 29
 
6.2%
Other values (36) 136
28.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 56
11.9%
원 32
 
6.8%
화 32
 
6.8%
문 31
 
6.6%
터 31
 
6.6%
지 31
 
6.6%
족 31
 
6.6%
센 31
 
6.6%
다 31
 
6.6%
시 29
 
6.2%
Other values (36) 136
28.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 56
11.9%
원 32
 
6.8%
화 32
 
6.8%
문 31
 
6.6%
터 31
 
6.6%
지 31
 
6.6%
족 31
 
6.6%
센 31
 
6.6%
다 31
 
6.6%
시 29
 
6.2%
Other values (36) 136
28.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 56
11.9%
원 32
 
6.8%
화 32
 
6.8%
문 31
 
6.6%
터 31
 
6.6%
지 31
 
6.6%
족 31
 
6.6%
센 31
 
6.6%
다 31
 
6.6%
시 29
 
6.2%
Other values (36) 136
28.9%

연락처
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:37:02.977785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.032258
Min length11

Characters and Unicode

Total characters373
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

Unique31 ?
Unique (%)100.0%

Sample

1st row070-7510-5876
2nd row031-938-9801
3rd row02-503-0070
4th row02-6265-1366
5th row031-798-7141
ValueCountFrequency (%)
070-7510-5876 1
 
3.2%
031-8045-5572 1
 
3.2%
031-793-2993 1
 
3.2%
031-532-2065 1
 
3.2%
031-615-3959 1
 
3.2%
031-949-9164 1
 
3.2%
031-631-2260 1
 
3.2%
031-878-7880 1
 
3.2%
031-429-4782 1
 
3.2%
031-323-7133 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T06:37:03.392322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
16.6%
1 52
13.9%
3 52
13.9%
0 51
13.7%
7 30
8.0%
5 27
7.2%
2 25
6.7%
9 23
 
6.2%
8 22
 
5.9%
6 18
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 311
83.4%
Dash Punctuation 62
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 52
16.7%
3 52
16.7%
0 51
16.4%
7 30
9.6%
5 27
8.7%
2 25
8.0%
9 23
7.4%
8 22
7.1%
6 18
 
5.8%
4 11
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 373
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
16.6%
1 52
13.9%
3 52
13.9%
0 51
13.7%
7 30
8.0%
5 27
7.2%
2 25
6.7%
9 23
 
6.2%
8 22
 
5.9%
6 18
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 373
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
16.6%
1 52
13.9%
3 52
13.9%
0 51
13.7%
7 30
8.0%
5 27
7.2%
2 25
6.7%
9 23
 
6.2%
8 22
 
5.9%
6 18
 
4.8%

기관형태구분명
Categorical

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
학교법인
14 
사회복지법인
8 
사단법인
5 
재단법인
3 
비영리민간단체
 
1

Length

Max length7
Median length4
Mean length4.6129032
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row재단법인
2nd row사회복지법인
3rd row재단법인
4th row사단법인
5th row사단법인

Common Values

ValueCountFrequency (%)
학교법인 14
45.2%
사회복지법인 8
25.8%
사단법인 5
 
16.1%
재단법인 3
 
9.7%
비영리민간단체 1
 
3.2%

Length

2023-12-11T06:37:03.543805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:03.688951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교법인 14
45.2%
사회복지법인 8
25.8%
사단법인 5
 
16.1%
재단법인 3
 
9.7%
비영리민간단체 1
 
3.2%

대표자명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:37:03.936868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters93
Distinct characters45
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

Unique31 ?
Unique (%)100.0%

Sample

1st row이승분
2nd row임유진
3rd row정명희
4th row남은정
5th row오영희
ValueCountFrequency (%)
이승분 1
 
3.2%
오연주 1
 
3.2%
문병용 1
 
3.2%
김지영 1
 
3.2%
송문영 1
 
3.2%
조성심 1
 
3.2%
박명호 1
 
3.2%
윤양식 1
 
3.2%
정성순 1
 
3.2%
이수희 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T06:37:04.295832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 6
 
6.5%
박 6
 
6.5%
희 6
 
6.5%
영 5
 
5.4%
성 4
 
4.3%
정 4
 
4.3%
은 3
 
3.2%
문 3
 
3.2%
오 3
 
3.2%
연 3
 
3.2%
Other values (35) 50
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 6
 
6.5%
박 6
 
6.5%
희 6
 
6.5%
영 5
 
5.4%
성 4
 
4.3%
정 4
 
4.3%
은 3
 
3.2%
문 3
 
3.2%
오 3
 
3.2%
연 3
 
3.2%
Other values (35) 50
53.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 6
 
6.5%
박 6
 
6.5%
희 6
 
6.5%
영 5
 
5.4%
성 4
 
4.3%
정 4
 
4.3%
은 3
 
3.2%
문 3
 
3.2%
오 3
 
3.2%
연 3
 
3.2%
Other values (35) 50
53.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 6
 
6.5%
박 6
 
6.5%
희 6
 
6.5%
영 5
 
5.4%
성 4
 
4.3%
정 4
 
4.3%
은 3
 
3.2%
문 3
 
3.2%
오 3
 
3.2%
연 3
 
3.2%
Other values (35) 50
53.8%

센터장명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:37:04.569927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters93
Distinct characters48
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

Unique31 ?
Unique (%)100.0%

Sample

1st row이승분
2nd row임유진
3rd row창기정
4th row남은정
5th row오영희
ValueCountFrequency (%)
이승분 1
 
3.2%
오연주 1
 
3.2%
문병용 1
 
3.2%
홍승현 1
 
3.2%
송문영 1
 
3.2%
조성심 1
 
3.2%
박명호 1
 
3.2%
윤양식 1
 
3.2%
정성순 1
 
3.2%
이수희 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T06:37:04.973821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 6
 
6.5%
박 6
 
6.5%
희 5
 
5.4%
정 4
 
4.3%
성 4
 
4.3%
영 4
 
4.3%
현 3
 
3.2%
은 3
 
3.2%
오 3
 
3.2%
문 3
 
3.2%
Other values (38) 52
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 6
 
6.5%
박 6
 
6.5%
희 5
 
5.4%
정 4
 
4.3%
성 4
 
4.3%
영 4
 
4.3%
현 3
 
3.2%
은 3
 
3.2%
오 3
 
3.2%
문 3
 
3.2%
Other values (38) 52
55.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 6
 
6.5%
박 6
 
6.5%
희 5
 
5.4%
정 4
 
4.3%
성 4
 
4.3%
영 4
 
4.3%
현 3
 
3.2%
은 3
 
3.2%
오 3
 
3.2%
문 3
 
3.2%
Other values (38) 52
55.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 6
 
6.5%
박 6
 
6.5%
희 5
 
5.4%
정 4
 
4.3%
성 4
 
4.3%
영 4
 
4.3%
현 3
 
3.2%
은 3
 
3.2%
오 3
 
3.2%
문 3
 
3.2%
Other values (38) 52
55.9%

개소년도
Real number (ℝ)

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.6129
Minimum2007
Maximum2013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T06:37:05.128029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2007
Q12008
median2010
Q32010
95-th percentile2012
Maximum2013
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5848747
Coefficient of variation (CV)0.00078864678
Kurtosis-0.081912209
Mean2009.6129
Median Absolute Deviation (MAD)1
Skewness-0.0062030952
Sum62298
Variance2.511828
MonotonicityNot monotonic
2023-12-11T06:37:05.242683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2010 14
45.2%
2008 5
 
16.1%
2011 5
 
16.1%
2007 4
 
12.9%
2013 2
 
6.5%
2009 1
 
3.2%
ValueCountFrequency (%)
2007 4
 
12.9%
2008 5
 
16.1%
2009 1
 
3.2%
2010 14
45.2%
2011 5
 
16.1%
2013 2
 
6.5%
ValueCountFrequency (%)
2013 2
 
6.5%
2011 5
 
16.1%
2010 14
45.2%
2009 1
 
3.2%
2008 5
 
16.1%
2007 4
 
12.9%

소재지우편번호
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13874.645
Minimum10071
Maximum18372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T06:37:05.357685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10071
5-th percentile10642.5
Q111801.5
median13175
Q315915
95-th percentile17932.5
Maximum18372
Range8301
Interquartile range (IQR)4113.5

Descriptive statistics

Standard deviation2516.7005
Coefficient of variation (CV)0.18138846
Kurtosis-1.1347119
Mean13874.645
Median Absolute Deviation (MAD)1877
Skewness0.34764595
Sum430114
Variance6333781.6
MonotonicityNot monotonic
2023-12-11T06:37:05.513960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
12414 1
 
3.2%
10362 1
 
3.2%
18372 1
 
3.2%
12947 1
 
3.2%
11160 1
 
3.2%
17730 1
 
3.2%
10923 1
 
3.2%
17375 1
 
3.2%
11649 1
 
3.2%
16007 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
10071 1
3.2%
10362 1
3.2%
10923 1
3.2%
11026 1
3.2%
11160 1
3.2%
11330 1
3.2%
11443 1
3.2%
11649 1
3.2%
11954 1
3.2%
12284 1
3.2%
ValueCountFrequency (%)
18372 1
3.2%
18135 1
3.2%
17730 1
3.2%
17590 1
3.2%
17375 1
3.2%
16942 1
3.2%
16305 1
3.2%
16007 1
3.2%
15823 1
3.2%
15385 1
3.2%

소재지지번주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:37:05.818492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length20.741935
Min length17

Characters and Unicode

Total characters643
Distinct characters103
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

Unique31 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 읍내리 608-5번지 가평군2청사
2nd row경기도 고양시 일산동구 정발산동 677-1번지
3rd row경기도 과천시 관문동 107-5번지
4th row경기도 광명시 철산동 379번지
5th row경기도 광주시 송정동 115-4번지
ValueCountFrequency (%)
경기도 31
 
22.8%
수지구 1
 
0.7%
871-1번지 1
 
0.7%
오산동 1
 
0.7%
오산시 1
 
0.7%
541-6번지 1
 
0.7%
은대리 1
 
0.7%
전곡읍 1
 
0.7%
연천군 1
 
0.7%
현대아파트 1
 
0.7%
Other values (96) 96
70.6%
2023-12-11T06:37:06.289028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
16.3%
지 34
 
5.3%
동 32
 
5.0%
경 31
 
4.8%
도 31
 
4.8%
기 31
 
4.8%
1 31
 
4.8%
번 31
 
4.8%
시 29
 
4.5%
- 20
 
3.1%
Other values (93) 268
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
61.6%
Decimal Number 122
 
19.0%
Space Separator 105
 
16.3%
Dash Punctuation 20
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 34
 
8.6%
동 32
 
8.1%
경 31
 
7.8%
도 31
 
7.8%
기 31
 
7.8%
번 31
 
7.8%
시 29
 
7.3%
산 10
 
2.5%
구 8
 
2.0%
정 6
 
1.5%
Other values (81) 153
38.6%
Decimal Number
ValueCountFrequency (%)
1 31
25.4%
5 14
11.5%
2 13
10.7%
6 13
10.7%
8 13
10.7%
7 13
10.7%
9 7
 
5.7%
4 6
 
4.9%
3 6
 
4.9%
0 6
 
4.9%
Space Separator
ValueCountFrequency (%)
105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
61.6%
Common 247
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 34
 
8.6%
동 32
 
8.1%
경 31
 
7.8%
도 31
 
7.8%
기 31
 
7.8%
번 31
 
7.8%
시 29
 
7.3%
산 10
 
2.5%
구 8
 
2.0%
정 6
 
1.5%
Other values (81) 153
38.6%
Common
ValueCountFrequency (%)
105
42.5%
1 31
 
12.6%
- 20
 
8.1%
5 14
 
5.7%
2 13
 
5.3%
6 13
 
5.3%
8 13
 
5.3%
7 13
 
5.3%
9 7
 
2.8%
4 6
 
2.4%
Other values (2) 12
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
61.6%
ASCII 247
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
42.5%
1 31
 
12.6%
- 20
 
8.1%
5 14
 
5.7%
2 13
 
5.3%
6 13
 
5.3%
8 13
 
5.3%
7 13
 
5.3%
9 7
 
2.8%
4 6
 
2.4%
Other values (2) 12
 
4.9%
Hangul
ValueCountFrequency (%)
지 34
 
8.6%
동 32
 
8.1%
경 31
 
7.8%
도 31
 
7.8%
기 31
 
7.8%
번 31
 
7.8%
시 29
 
7.3%
산 10
 
2.5%
구 8
 
2.0%
정 6
 
1.5%
Other values (81) 153
38.6%

소재지도로명주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T06:37:06.563761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length17.290323
Min length14

Characters and Unicode

Total characters536
Distinct characters95
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

Unique31 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 석봉로 191번길 10
2nd row경기도 고양시 일산동구 대산로 27
3rd row경기도 과천시 관악산길 58
4th row경기도 광명시 디지털로 34
5th row경기도 광주시 통미로52번길 19
ValueCountFrequency (%)
경기도 31
 
23.1%
중앙로 2
 
1.5%
19 2
 
1.5%
용인시 1
 
0.7%
성호대로 1
 
0.7%
오산시 1
 
0.7%
11 1
 
0.7%
전영로 1
 
0.7%
전곡읍 1
 
0.7%
연천군 1
 
0.7%
Other values (92) 92
68.7%
2023-12-11T06:37:06.989430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
19.2%
경 32
 
6.0%
기 31
 
5.8%
도 31
 
5.8%
로 29
 
5.4%
시 29
 
5.4%
1 21
 
3.9%
5 13
 
2.4%
2 13
 
2.4%
4 11
 
2.1%
Other values (85) 223
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
63.1%
Space Separator 103
 
19.2%
Decimal Number 94
 
17.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 32
 
9.5%
기 31
 
9.2%
도 31
 
9.2%
로 29
 
8.6%
시 29
 
8.6%
길 10
 
3.0%
천 9
 
2.7%
번 8
 
2.4%
산 8
 
2.4%
안 7
 
2.1%
Other values (73) 144
42.6%
Decimal Number
ValueCountFrequency (%)
1 21
22.3%
5 13
13.8%
2 13
13.8%
4 11
11.7%
9 10
10.6%
3 10
10.6%
6 6
 
6.4%
8 4
 
4.3%
7 3
 
3.2%
0 3
 
3.2%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
63.1%
Common 198
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 32
 
9.5%
기 31
 
9.2%
도 31
 
9.2%
로 29
 
8.6%
시 29
 
8.6%
길 10
 
3.0%
천 9
 
2.7%
번 8
 
2.4%
산 8
 
2.4%
안 7
 
2.1%
Other values (73) 144
42.6%
Common
ValueCountFrequency (%)
103
52.0%
1 21
 
10.6%
5 13
 
6.6%
2 13
 
6.6%
4 11
 
5.6%
9 10
 
5.1%
3 10
 
5.1%
6 6
 
3.0%
8 4
 
2.0%
7 3
 
1.5%
Other values (2) 4
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
63.1%
ASCII 198
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
52.0%
1 21
 
10.6%
5 13
 
6.6%
2 13
 
6.6%
4 11
 
5.6%
9 10
 
5.1%
3 10
 
5.1%
6 6
 
3.0%
8 4
 
2.0%
7 3
 
1.5%
Other values (2) 4
 
2.0%
Hangul
ValueCountFrequency (%)
경 32
 
9.5%
기 31
 
9.2%
도 31
 
9.2%
로 29
 
8.6%
시 29
 
8.6%
길 10
 
3.0%
천 9
 
2.7%
번 8
 
2.4%
산 8
 
2.4%
안 7
 
2.1%
Other values (73) 144
42.6%

WGS84위도
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.489898
Minimum37.009005
Maximum38.030645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T06:37:07.158007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.009005
5-th percentile37.107443
Q137.315991
median37.447593
Q337.658392
95-th percentile37.886992
Maximum38.030645
Range1.0216399
Interquartile range (IQR)0.34240093

Descriptive statistics

Standard deviation0.25234443
Coefficient of variation (CV)0.0067309979
Kurtosis-0.45345893
Mean37.489898
Median Absolute Deviation (MAD)0.15523135
Skewness0.25262761
Sum1162.1868
Variance0.06367771
MonotonicityNot monotonic
2023-12-11T06:37:07.299375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
37.90400569 1
 
3.2%
37.44759315 1
 
3.2%
37.20308359 1
 
3.2%
37.53869936 1
 
3.2%
37.73659912 1
 
3.2%
37.64670009 1
 
3.2%
37.41677949 1
 
3.2%
37.43636204 1
 
3.2%
37.35859081 1
 
3.2%
37.75682566 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
37.00900485 1
3.2%
37.06571556 1
3.2%
37.14916972 1
3.2%
37.20308359 1
3.2%
37.27825003 1
3.2%
37.2923618 1
3.2%
37.29965686 1
3.2%
37.30077556 1
3.2%
37.33120573 1
3.2%
37.34812172 1
3.2%
ValueCountFrequency (%)
38.03064477 1
3.2%
37.90400569 1
3.2%
37.86997801 1
3.2%
37.83046633 1
3.2%
37.82168325 1
3.2%
37.75682566 1
3.2%
37.73659912 1
3.2%
37.67008305 1
3.2%
37.64670009 1
3.2%
37.61049919 1
3.2%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.0698
Minimum126.62017
Maximum127.63629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T06:37:07.484622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62017
5-th percentile126.7598
Q1126.93524
median127.05338
Q3127.17049
95-th percentile127.50466
Maximum127.63629
Range1.016124
Interquartile range (IQR)0.2352503

Descriptive statistics

Standard deviation0.23652366
Coefficient of variation (CV)0.0018613681
Kurtosis0.26942418
Mean127.0698
Median Absolute Deviation (MAD)0.1178302
Skewness0.51324471
Sum3939.1637
Variance0.055943443
MonotonicityNot monotonic
2023-12-11T06:37:07.681132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
127.0533777 1
 
3.2%
127.1697646 1
 
3.2%
127.0332889 1
 
3.2%
127.2038881 1
 
3.2%
127.0389401 1
 
3.2%
126.6201709 1
 
3.2%
127.2553625 1
 
3.2%
126.9924339 1
 
3.2%
126.9190355 1
 
3.2%
126.7793008 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
126.6201709 1
3.2%
126.7463509 1
3.2%
126.7732558 1
3.2%
126.7793008 1
3.2%
126.792458 1
3.2%
126.8153867 1
3.2%
126.8711594 1
3.2%
126.9190355 1
3.2%
126.9514364 1
3.2%
126.9924339 1
3.2%
ValueCountFrequency (%)
127.6362949 1
3.2%
127.5100224 1
3.2%
127.4993032 1
3.2%
127.4410457 1
3.2%
127.2748051 1
3.2%
127.2553625 1
3.2%
127.2038881 1
3.2%
127.1712079 1
3.2%
127.1697646 1
3.2%
127.1556769 1
3.2%

Interactions

2023-12-11T06:37:00.624404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:59.486475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:59.879172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:00.260280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:00.721116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:59.584186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:59.983091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:00.347240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:00.825614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:59.684201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:00.080847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:00.437112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:00.930392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:36:59.777656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:00.175882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:00.524312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:37:07.807950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관단체명연락처기관형태구분명대표자명센터장명개소년도소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
시군명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
기관단체명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
기관형태구분명1.0001.0001.0001.0001.0001.0000.0000.6961.0001.0000.4510.457
대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
센터장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
개소년도1.0001.0001.0000.0001.0001.0001.0000.0001.0001.0000.7690.000
소재지우편번호1.0001.0001.0000.6961.0001.0000.0001.0001.0001.0000.0000.265
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
WGS84위도1.0001.0001.0000.4511.0001.0000.7690.0001.0001.0001.0000.395
WGS84경도1.0001.0001.0000.4571.0001.0000.0000.2651.0001.0000.3951.000
2023-12-11T06:37:07.950929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개소년도소재지우편번호WGS84위도WGS84경도기관형태구분명
개소년도1.000-0.0970.2710.1350.045
소재지우편번호-0.0971.000-0.217-0.2880.311
WGS84위도0.271-0.2171.000-0.0950.151
WGS84경도0.135-0.288-0.0951.0000.245
기관형태구분명0.0450.3110.1510.2451.000

Missing values

2023-12-11T06:37:01.148368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:37:01.315772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시군명기관단체명연락처기관형태구분명대표자명센터장명개소년도소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
0가평군가평군건강가정다문화가족지원센터070-7510-5876재단법인이승분이승분201012414경기도 가평군 가평읍 읍내리 608-5번지 가평군2청사경기도 가평군 가평읍 석봉로 191번길 1037.904006127.053378
1고양시고양시다문화가족지원센터031-938-9801사회복지법인임유진임유진200810362경기도 고양시 일산동구 정발산동 677-1번지경기도 고양시 일산동구 대산로 2737.447593127.169765
2과천시과천시건강가정다문화가족지원센터02-503-0070재단법인정명희창기정201013801경기도 과천시 관문동 107-5번지경기도 과천시 관악산길 5837.830466127.510022
3광명시광명시건강가정다문화가족지원센터02-6265-1366사단법인남은정남은정200714241경기도 광명시 철산동 379번지경기도 광명시 디지털로 3437.009005127.274805
4광주시광주시건강가정다문화가족지원센터031-798-7141사단법인오영희오영희201012744경기도 광주시 송정동 115-4번지경기도 광주시 통미로52번길 1937.27825127.441046
5구리시구리시건강가정다문화가족지원센터031-556-4140학교법인윤성은윤성은200811954경기도 구리시 교문동 390번지경기도 구리시 아차산로 45337.670083126.773256
6군포시군포시건강가정다문화가족지원센터031-395-1811사단법인박성희박성희201115823경기도 군포시 산본동 1151-10번지경기도 군포시 수리산로 11237.391326126.995086
7김포시김포시건강가정다문화가족지원센터031-996-5920사단법인김연화김연화201010071경기도 김포시 구래동 6872-2번지 엘에이치한가람마을2단지경기도 김포시 김포한강4로 56437.14917127.070569
8남양주시남양주시건강가정다문화가족지원센터031-553-8211학교법인이주연이주연200912284경기도 남양주시 다산동 3159-7번지경기도 남양주시 경춘로 52237.065716127.066134
9동두천시동두천시건강가정다문화가족지원센터031-863-3822학교법인이정숙이정숙201111330경기도 동두천시 생연동 665-2번지경기도 동두천시 중앙로 24937.869978127.155677
시군명기관단체명연락처기관형태구분명대표자명센터장명개소년도소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
21오산시오산시건강가정다문화가족지원센터031-372-1335사단법인이병희이병희201018135경기도 오산시 오산동 871-1번지경기도 오산시 성호대로 8337.292362127.636295
22용인시용인시건강가정다문화가족지원센터031-323-7133사회복지법인이수희이수희201016942경기도 용인시 수지구 상현동 1129-2번지경기도 용인시 수지구 법조로 23037.392584126.951436
23의왕시의왕시건강가정다문화가족지원센터031-429-4782사회복지법인정성순정성순201016007경기도 의왕시 청계동 983번지경기도 의왕시 덕장로 1937.756826126.779301
24의정부시의정부시건강가정다문화가족지원센터031-878-7880학교법인윤양식윤양식201011649경기도 의정부시 의정부동 515번지경기도 의정부시 둔야로5번길 6737.358591126.919036
25이천시이천시건강가정다문화가족지원센터031-631-2260사회복지법인박명호박명호201317375경기도 이천시 중리동 187번지경기도 이천시 남천로 3137.436362126.992434
26파주시파주시건강가정다문화가족지원센터031-949-9164학교법인조성심조성심201010923경기도 파주시 금촌동 782-4번지경기도 파주시 중앙로 22937.416779127.255363
27평택시평택시건강가정다문화가족지원센터031-615-3959재단법인송문영송문영201017730경기도 평택시 서정동 산12번지경기도 평택시 서정로 29537.6467126.620171
28포천시포천시건강가정다문화가족지원센터031-532-2065학교법인김지영홍승현200811160경기도 포천시 동교동 198-1번지경기도 포천시 해룡로 12037.736599127.03894
29하남시하남시다문화가족지원센터031-793-2993학교법인문병용문병용201312947경기도 하남시 신장동 521-5번지경기도 하남시 덕풍천서로 937.538699127.203888
30화성시화성시다문화가족지원센터031-267-8786학교법인박미경박미경201018372경기도 화성시 병점동 734번지경기도 화성시 태안로 14537.203084127.033289