Overview

Dataset statistics

Number of variables9
Number of observations114
Missing cells89
Missing cells (%)8.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory74.1 B

Variable types

Numeric1
Text6
Categorical1
DateTime1

Dataset

Description광주광역시 북구에 위치한 지역아동센터 현황 데이터로, 센터명, 소재, 전화번호 등의 정보를 제공합니다.* 광주광역시 북구청 홈페이지를 통해 진행중인 [(상시운영) 공공데이터 개방 수요조사] 에서 개방 요청된 데이터를 개방하였습니다.
Author광주광역시 북구
URLhttps://www.data.go.kr/data/15118520/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
법인명 has 89 (78.1%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique
시설소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-15 02:04:58.099544
Analysis finished2024-03-15 02:04:59.756380
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.5
Minimum1
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T11:04:59.975888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.65
Q129.25
median57.5
Q385.75
95-th percentile108.35
Maximum114
Range113
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation33.052988
Coefficient of variation (CV)0.57483457
Kurtosis-1.2
Mean57.5
Median Absolute Deviation (MAD)28.5
Skewness0
Sum6555
Variance1092.5
MonotonicityStrictly increasing
2024-03-15T11:05:00.352681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
87 1
 
0.9%
85 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
Other values (104) 104
91.2%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
114 1
0.9%
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%

시설명
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T11:05:01.396342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length2
Mean length2.9122807
Min length2

Characters and Unicode

Total characters332
Distinct characters178
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)100.0%

Sample

1st row1318희망지기
2nd rowLH행복꿈터광주
3rd row가람
4th row각화HomeSchool
5th row각화동
ValueCountFrequency (%)
1318희망지기 1
 
0.9%
일곡 1
 
0.9%
율곡 1
 
0.9%
운암 1
 
0.9%
우성 1
 
0.9%
용봉 1
 
0.9%
용두 1
 
0.9%
온누리 1
 
0.9%
옥토 1
 
0.9%
오치 1
 
0.9%
Other values (104) 104
91.2%
2024-03-15T11:05:02.808457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
꿈 8
 
2.4%
동 7
 
2.1%
나 7
 
2.1%
아 6
 
1.8%
리 6
 
1.8%
지 5
 
1.5%
무 5
 
1.5%
곡 5
 
1.5%
운 5
 
1.5%
은 5
 
1.5%
Other values (168) 273
82.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
95.2%
Lowercase Letter 8
 
2.4%
Decimal Number 4
 
1.2%
Uppercase Letter 4
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
꿈 8
 
2.5%
동 7
 
2.2%
나 7
 
2.2%
아 6
 
1.9%
리 6
 
1.9%
지 5
 
1.6%
무 5
 
1.6%
곡 5
 
1.6%
운 5
 
1.6%
은 5
 
1.6%
Other values (156) 257
81.3%
Lowercase Letter
ValueCountFrequency (%)
o 3
37.5%
l 1
 
12.5%
h 1
 
12.5%
c 1
 
12.5%
e 1
 
12.5%
m 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
8 1
25.0%
3 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
H 2
50.0%
L 1
25.0%
S 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316
95.2%
Latin 12
 
3.6%
Common 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
꿈 8
 
2.5%
동 7
 
2.2%
나 7
 
2.2%
아 6
 
1.9%
리 6
 
1.9%
지 5
 
1.6%
무 5
 
1.6%
곡 5
 
1.6%
운 5
 
1.6%
은 5
 
1.6%
Other values (156) 257
81.3%
Latin
ValueCountFrequency (%)
o 3
25.0%
H 2
16.7%
L 1
 
8.3%
l 1
 
8.3%
h 1
 
8.3%
c 1
 
8.3%
S 1
 
8.3%
e 1
 
8.3%
m 1
 
8.3%
Common
ValueCountFrequency (%)
1 2
50.0%
8 1
25.0%
3 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316
95.2%
ASCII 16
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
꿈 8
 
2.5%
동 7
 
2.2%
나 7
 
2.2%
아 6
 
1.9%
리 6
 
1.9%
지 5
 
1.6%
무 5
 
1.6%
곡 5
 
1.6%
운 5
 
1.6%
은 5
 
1.6%
Other values (156) 257
81.3%
ASCII
ValueCountFrequency (%)
o 3
18.8%
1 2
12.5%
H 2
12.5%
L 1
 
6.2%
l 1
 
6.2%
h 1
 
6.2%
c 1
 
6.2%
S 1
 
6.2%
e 1
 
6.2%
m 1
 
6.2%
Other values (2) 2
12.5%

대표자
Text

Distinct99
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T11:05:03.870413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9736842
Min length2

Characters and Unicode

Total characters339
Distinct characters94
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

Unique93 ?
Unique (%)81.6%

Sample

1st row박경주
2nd row김민호
3rd row최금주
4th row차순애
5th row여금숙
ValueCountFrequency (%)
안현식 11
 
9.6%
정진희 2
 
1.8%
황성호 2
 
1.8%
김미숙 2
 
1.8%
차윤님 2
 
1.8%
박양임 2
 
1.8%
문창원 1
 
0.9%
김광열 1
 
0.9%
선은미 1
 
0.9%
한선희 1
 
0.9%
Other values (89) 89
78.1%
2024-03-15T11:05:05.138435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 30
 
8.8%
현 15
 
4.4%
정 13
 
3.8%
안 12
 
3.5%
숙 12
 
3.5%
식 11
 
3.2%
박 11
 
3.2%
성 11
 
3.2%
희 10
 
2.9%
미 8
 
2.4%
Other values (84) 206
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 30
 
8.8%
현 15
 
4.4%
정 13
 
3.8%
안 12
 
3.5%
숙 12
 
3.5%
식 11
 
3.2%
박 11
 
3.2%
성 11
 
3.2%
희 10
 
2.9%
미 8
 
2.4%
Other values (84) 206
60.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 30
 
8.8%
현 15
 
4.4%
정 13
 
3.8%
안 12
 
3.5%
숙 12
 
3.5%
식 11
 
3.2%
박 11
 
3.2%
성 11
 
3.2%
희 10
 
2.9%
미 8
 
2.4%
Other values (84) 206
60.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 30
 
8.8%
현 15
 
4.4%
정 13
 
3.8%
안 12
 
3.5%
숙 12
 
3.5%
식 11
 
3.2%
박 11
 
3.2%
성 11
 
3.2%
희 10
 
2.9%
미 8
 
2.4%
Other values (84) 206
60.8%

시설장
Text

Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T11:05:06.354256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9824561
Min length2

Characters and Unicode

Total characters340
Distinct characters97
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

Unique112 ?
Unique (%)98.2%

Sample

1st row진선미
2nd row배경미
3rd row최금주
4th row천옥희
5th row여금숙
ValueCountFrequency (%)
김정숙 2
 
1.7%
나성민 1
 
0.9%
김정순 1
 
0.9%
방성희 1
 
0.9%
조양원 1
 
0.9%
신종호 1
 
0.9%
황성호 1
 
0.9%
한선희 1
 
0.9%
김미숙 1
 
0.9%
김윤정 1
 
0.9%
Other values (104) 104
90.4%
2024-03-15T11:05:08.446603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 33
 
9.7%
희 17
 
5.0%
정 16
 
4.7%
숙 14
 
4.1%
박 13
 
3.8%
이 12
 
3.5%
미 11
 
3.2%
영 10
 
2.9%
선 9
 
2.6%
성 9
 
2.6%
Other values (87) 196
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
99.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 33
 
9.7%
희 17
 
5.0%
정 16
 
4.7%
숙 14
 
4.1%
박 13
 
3.8%
이 12
 
3.5%
미 11
 
3.2%
영 10
 
2.9%
선 9
 
2.7%
성 9
 
2.7%
Other values (86) 195
57.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
99.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 33
 
9.7%
희 17
 
5.0%
정 16
 
4.7%
숙 14
 
4.1%
박 13
 
3.8%
이 12
 
3.5%
미 11
 
3.2%
영 10
 
2.9%
선 9
 
2.7%
성 9
 
2.7%
Other values (86) 195
57.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 33
 
9.7%
희 17
 
5.0%
정 16
 
4.7%
숙 14
 
4.1%
박 13
 
3.8%
이 12
 
3.5%
미 11
 
3.2%
영 10
 
2.9%
선 9
 
2.7%
성 9
 
2.7%
Other values (86) 195
57.5%
ASCII
ValueCountFrequency (%)
1
100.0%

운영주체
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
개인
89 
법인
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row법인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 89
78.1%
법인 25
 
21.9%

Length

2024-03-15T11:05:08.911858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:05:09.327245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 89
78.1%
법인 25
 
21.9%

법인명
Text

MISSING 

Distinct14
Distinct (%)56.0%
Missing89
Missing (%)78.1%
Memory size1.0 KiB
2024-03-15T11:05:10.009442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length12.16
Min length8

Characters and Unicode

Total characters304
Distinct characters56
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 (%)44.0%

Sample

1st row사단법인 다문화가정복지회
2nd row사회복지법인 굿네이버스
3rd row사단법인 아동청소년지원센터
4th row사회적협동조합 아우름
5th row사단법인 광주복지문화공동체
ValueCountFrequency (%)
사단법인 14
31.1%
아동청소년지원센터 10
22.2%
사회적협동조합 4
 
8.9%
상상사회적협동조합 2
 
4.4%
샬롬사회적협동조합 2
 
4.4%
다오래 1
 
2.2%
광주지부 1
 
2.2%
청소년폭력예방재단 1
 
2.2%
더나은 1
 
2.2%
빛나래 1
 
2.2%
Other values (8) 8
17.8%
2024-03-15T11:05:11.231384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 25
 
8.2%
20
 
6.6%
동 20
 
6.6%
단 15
 
4.9%
인 15
 
4.9%
법 15
 
4.9%
지 14
 
4.6%
년 11
 
3.6%
아 11
 
3.6%
회 11
 
3.6%
Other values (46) 147
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 284
93.4%
Space Separator 20
 
6.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 25
 
8.8%
동 20
 
7.0%
단 15
 
5.3%
인 15
 
5.3%
법 15
 
5.3%
지 14
 
4.9%
년 11
 
3.9%
아 11
 
3.9%
회 11
 
3.9%
소 11
 
3.9%
Other values (45) 136
47.9%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
93.4%
Common 20
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 25
 
8.8%
동 20
 
7.0%
단 15
 
5.3%
인 15
 
5.3%
법 15
 
5.3%
지 14
 
4.9%
년 11
 
3.9%
아 11
 
3.9%
회 11
 
3.9%
소 11
 
3.9%
Other values (45) 136
47.9%
Common
ValueCountFrequency (%)
20
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 284
93.4%
ASCII 20
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 25
 
8.8%
동 20
 
7.0%
단 15
 
5.3%
인 15
 
5.3%
법 15
 
5.3%
지 14
 
4.9%
년 11
 
3.9%
아 11
 
3.9%
회 11
 
3.9%
소 11
 
3.9%
Other values (45) 136
47.9%
ASCII
ValueCountFrequency (%)
20
100.0%

시설소재지
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T11:05:12.339513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length30.394737
Min length23

Characters and Unicode

Total characters3465
Distinct characters150
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)100.0%

Sample

1st row광주광역시 북구 향토문화로 26 2층 (중흥동)
2nd row광주광역시 북구 연양로7번길 58 주민복지관동 (신용동 신용주공아파트)
3rd row광주광역시 북구 서하로 314-1 2층 (오치동)
4th row광주광역시 북구 두리봉길 48 203호 (각화동 무등파크상가)
5th row광주광역시 북구 군왕로 202 3층 (각화동)
ValueCountFrequency (%)
광주광역시 114
 
16.2%
북구 114
 
16.2%
2층 35
 
5.0%
3층 15
 
2.1%
두암동 13
 
1.9%
1층 11
 
1.6%
문흥동 10
 
1.4%
양산동 9
 
1.3%
오치동 9
 
1.3%
운암동 8
 
1.1%
Other values (267) 364
51.9%
2024-03-15T11:05:13.890424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
703
20.3%
광 228
 
6.6%
동 141
 
4.1%
2 127
 
3.7%
1 124
 
3.6%
주 120
 
3.5%
시 118
 
3.4%
북 117
 
3.4%
구 114
 
3.3%
역 114
 
3.3%
Other values (140) 1559
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1921
55.4%
Space Separator 703
 
20.3%
Decimal Number 582
 
16.8%
Close Punctuation 113
 
3.3%
Open Punctuation 113
 
3.3%
Dash Punctuation 28
 
0.8%
Uppercase Letter 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 228
 
11.9%
동 141
 
7.3%
주 120
 
6.2%
시 118
 
6.1%
북 117
 
6.1%
구 114
 
5.9%
역 114
 
5.9%
로 108
 
5.6%
층 67
 
3.5%
길 65
 
3.4%
Other values (122) 729
37.9%
Decimal Number
ValueCountFrequency (%)
2 127
21.8%
1 124
21.3%
3 69
11.9%
0 62
10.7%
4 44
 
7.6%
5 44
 
7.6%
6 36
 
6.2%
7 29
 
5.0%
8 25
 
4.3%
9 22
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
703
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1921
55.4%
Common 1541
44.5%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 228
 
11.9%
동 141
 
7.3%
주 120
 
6.2%
시 118
 
6.1%
북 117
 
6.1%
구 114
 
5.9%
역 114
 
5.9%
로 108
 
5.6%
층 67
 
3.5%
길 65
 
3.4%
Other values (122) 729
37.9%
Common
ValueCountFrequency (%)
703
45.6%
2 127
 
8.2%
1 124
 
8.0%
) 113
 
7.3%
( 113
 
7.3%
3 69
 
4.5%
0 62
 
4.0%
4 44
 
2.9%
5 44
 
2.9%
6 36
 
2.3%
Other values (5) 106
 
6.9%
Latin
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1921
55.4%
ASCII 1544
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
703
45.5%
2 127
 
8.2%
1 124
 
8.0%
) 113
 
7.3%
( 113
 
7.3%
3 69
 
4.5%
0 62
 
4.0%
4 44
 
2.8%
5 44
 
2.8%
6 36
 
2.3%
Other values (8) 109
 
7.1%
Hangul
ValueCountFrequency (%)
광 228
 
11.9%
동 141
 
7.3%
주 120
 
6.2%
시 118
 
6.1%
북 117
 
6.1%
구 114
 
5.9%
역 114
 
5.9%
로 108
 
5.6%
층 67
 
3.5%
길 65
 
3.4%
Other values (122) 729
37.9%

전화번호
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T11:05:14.873113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.078947
Min length12

Characters and Unicode

Total characters1377
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

Unique114 ?
Unique (%)100.0%

Sample

1st row062-528-1318
2nd row062-574-1125
3rd row070-7755-4028
4th row062-267-7991
5th row062-265-2525
ValueCountFrequency (%)
062-528-1318 1
 
0.9%
062-575-0567 1
 
0.9%
062-268-1219 1
 
0.9%
062-524-9202 1
 
0.9%
062-266-2675 1
 
0.9%
062-526-3689 1
 
0.9%
062-576-4183 1
 
0.9%
062-251-1708 1
 
0.9%
062-265-3079 1
 
0.9%
062-251-4641 1
 
0.9%
Other values (104) 104
91.2%
2024-03-15T11:05:16.434464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 233
16.9%
- 228
16.6%
0 203
14.7%
6 181
13.1%
5 124
9.0%
1 95
6.9%
7 86
 
6.2%
9 63
 
4.6%
4 60
 
4.4%
3 59
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1149
83.4%
Dash Punctuation 228
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 233
20.3%
0 203
17.7%
6 181
15.8%
5 124
10.8%
1 95
8.3%
7 86
 
7.5%
9 63
 
5.5%
4 60
 
5.2%
3 59
 
5.1%
8 45
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1377
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 233
16.9%
- 228
16.6%
0 203
14.7%
6 181
13.1%
5 124
9.0%
1 95
6.9%
7 86
 
6.2%
9 63
 
4.6%
4 60
 
4.4%
3 59
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1377
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 233
16.9%
- 228
16.6%
0 203
14.7%
6 181
13.1%
5 124
9.0%
1 95
6.9%
7 86
 
6.2%
9 63
 
4.6%
4 60
 
4.4%
3 59
 
4.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2024-01-22 00:00:00
Maximum2024-01-22 00:00:00
2024-03-15T11:05:16.791394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:05:17.108208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T11:04:58.825740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:05:17.359897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대표자운영주체법인명
연번1.0000.3040.0000.543
대표자0.3041.0000.9201.000
운영주체0.0000.9201.000NaN
법인명0.5431.000NaN1.000
2024-03-15T11:05:17.664858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번운영주체
연번1.0000.000
운영주체0.0001.000

Missing values

2024-03-15T11:04:59.128970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:04:59.584095image/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

연번시설명대표자시설장운영주체법인명시설소재지전화번호데이터기준일자
011318희망지기박경주진선미개인<NA>광주광역시 북구 향토문화로 26 2층 (중흥동)062-528-13182024-01-22
12LH행복꿈터광주김민호배경미법인사단법인 다문화가정복지회광주광역시 북구 연양로7번길 58 주민복지관동 (신용동 신용주공아파트)062-574-11252024-01-22
23가람최금주최금주개인<NA>광주광역시 북구 서하로 314-1 2층 (오치동)070-7755-40282024-01-22
34각화HomeSchool차순애천옥희개인<NA>광주광역시 북구 두리봉길 48 203호 (각화동 무등파크상가)062-267-79912024-01-22
45각화동여금숙여금숙개인<NA>광주광역시 북구 군왕로 202 3층 (각화동)062-265-25252024-01-22
56건국김현영김현영개인<NA>광주광역시 북구 연양로28번길 22 (연제동)062-574-10522024-01-22
67공감하는김숙빈김숙빈개인<NA>광주광역시 북구 참판로 131 (두암동)062-262-90022024-01-22
78광생황성호오성희개인<NA>광주광역시 북구 오산정길 26 1층 (오치동)062-261-13552024-01-22
89광주아름다운서성민기경자개인<NA>광주광역시 북구 우치로241번길 45 3층 (오치동)062-266-90042024-01-22
910광주좋은이웃이호균장미연법인사회복지법인 굿네이버스광주광역시 북구 금재로 27 2층 (유동)062-521-95022024-01-22
연번시설명대표자시설장운영주체법인명시설소재지전화번호데이터기준일자
104105하버드온누리강승희개인<NA>광주광역시 북구 북문대로159번길 53-12 (운암동)062-512-44532024-01-22
105106한마음김창순이재정개인<NA>광주광역시 북구 유림로 175 (동림동 삼익상가 2층 201호)062-513-98892024-01-22
106107한양임혜진양병규개인<NA>광주광역시 북구 반룡로42번길 1 3층 (용봉동)062-528-90022024-01-22
107108해달별이수정이은정개인<NA>광주광역시 북구 서방로51번길 46 (우산동)062-265-70092024-01-22
108109햇빛박양임이창미법인샬롬사회적협동조합광주광역시 북구 임방울대로1041번길 6 303호 (용두동 양산타운아파트 상가동)062-571-01562024-01-22
109110행복한안순자김세현개인<NA>광주광역시 북구 설죽로389번길 71 1층 (삼각동)062-574-55582024-01-22
110111행운박혜경박혜경개인<NA>광주광역시 북구 동운로 217-9 (운암동)062-529-30462024-01-22
111112현대김세희김세희개인<NA>광주광역시 북구 양산택지로 34번길 26 201호(양산동)062-514-77552024-01-22
112113호르트기양호김승민개인<NA>광주광역시 북구 삼정로120번길 23 (두암동)062-264-48752024-01-22
113114희망신성순윤은희개인<NA>광주광역시 북구 중흥로163번길 2 2층 (중흥동)070-4235-79912024-01-22