Overview

Dataset statistics

Number of variables13
Number of observations56
Missing cells4
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory108.3 B

Variable types

Categorical7
Text4
Numeric2

Dataset

Description경기도 수원시 장애아동청소년을 위한 지원서비스 지정기관에 대한 데이터를 제공합니다.발달재활서비스 제공기관 50개소, 방과후활동서비스 6개소입니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15040644/fileData.do

Alerts

시도명 has constant value ""Constant
시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
서비스대상 is highly overall correlated with 제공서비스High correlation
제공서비스 is highly overall correlated with 지정시작일 and 2 other fieldsHigh correlation
지정종료일 is highly overall correlated with 지정시작일 and 1 other fieldsHigh correlation
지정시작일 is highly overall correlated with 지정종료일 and 1 other fieldsHigh correlation
지정시작일 is highly imbalanced (66.9%)Imbalance
지정종료일 is highly imbalanced (66.9%)Imbalance
연락처 has 4 (7.1%) missing valuesMissing
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:41:13.879901
Analysis finished2024-03-14 10:41:16.787778
Duration2.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size576.0 B
경기도
56 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 56
100.0%

Length

2024-03-14T19:41:16.974495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:41:17.275439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 56
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size576.0 B
수원시
56 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 56
100.0%

Length

2024-03-14T19:41:17.591886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:41:17.894455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원시 56
100.0%

지정기관명
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-14T19:41:18.594273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length10.464286
Min length3

Characters and Unicode

Total characters586
Distinct characters142
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)96.4%

Sample

1st row수원아동발달문화센터
2nd row마음뜰clinic 운동발달센터
3rd row김도영언어인지발달상담센터
4th row위드가족심리지원센터
5th row지혜나무심리상담센터
ValueCountFrequency (%)
사회적협동조합 3
 
4.2%
꿈틀협동조합 2
 
2.8%
사단법인 2
 
2.8%
우리아이통합발달센터 2
 
2.8%
해담심리언어발달센터 2
 
2.8%
화서썬아동청소년발달센터 1
 
1.4%
미쁨아동발달센터 1
 
1.4%
라온아동발달센터 1
 
1.4%
수원아동발달센터 1
 
1.4%
2호점 1
 
1.4%
Other values (56) 56
77.8%
2024-03-14T19:41:20.014371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 39
 
6.7%
센 38
 
6.5%
아 32
 
5.5%
동 32
 
5.5%
달 31
 
5.3%
발 31
 
5.3%
16
 
2.7%
리 16
 
2.7%
심 12
 
2.0%
원 11
 
1.9%
Other values (132) 328
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 538
91.8%
Lowercase Letter 17
 
2.9%
Space Separator 16
 
2.7%
Open Punctuation 5
 
0.9%
Close Punctuation 5
 
0.9%
Other Symbol 2
 
0.3%
Uppercase Letter 2
 
0.3%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 39
 
7.2%
센 38
 
7.1%
아 32
 
5.9%
동 32
 
5.9%
달 31
 
5.8%
발 31
 
5.8%
리 16
 
3.0%
심 12
 
2.2%
원 11
 
2.0%
소 10
 
1.9%
Other values (116) 286
53.2%
Lowercase Letter
ValueCountFrequency (%)
i 4
23.5%
n 3
17.6%
c 3
17.6%
l 2
11.8%
g 1
 
5.9%
o 1
 
5.9%
m 1
 
5.9%
d 1
 
5.9%
h 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 540
92.2%
Common 27
 
4.6%
Latin 19
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 39
 
7.2%
센 38
 
7.0%
아 32
 
5.9%
동 32
 
5.9%
달 31
 
5.7%
발 31
 
5.7%
리 16
 
3.0%
심 12
 
2.2%
원 11
 
2.0%
소 10
 
1.9%
Other values (117) 288
53.3%
Latin
ValueCountFrequency (%)
i 4
21.1%
n 3
15.8%
c 3
15.8%
l 2
10.5%
g 1
 
5.3%
o 1
 
5.3%
S 1
 
5.3%
m 1
 
5.3%
d 1
 
5.3%
h 1
 
5.3%
Common
ValueCountFrequency (%)
16
59.3%
( 5
 
18.5%
) 5
 
18.5%
2 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 538
91.8%
ASCII 46
 
7.8%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 39
 
7.2%
센 38
 
7.1%
아 32
 
5.9%
동 32
 
5.9%
달 31
 
5.8%
발 31
 
5.8%
리 16
 
3.0%
심 12
 
2.2%
원 11
 
2.0%
소 10
 
1.9%
Other values (116) 286
53.2%
ASCII
ValueCountFrequency (%)
16
34.8%
( 5
 
10.9%
) 5
 
10.9%
i 4
 
8.7%
n 3
 
6.5%
c 3
 
6.5%
l 2
 
4.3%
g 1
 
2.2%
2 1
 
2.2%
o 1
 
2.2%
Other values (5) 5
 
10.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%

지정시작일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-01-01
50 
2022-09-24
 
2
2022-03-07
 
2
2023-04-13
 
2

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-01
2nd row2024-01-01
3rd row2024-01-01
4th row2024-01-01
5th row2024-01-01

Common Values

ValueCountFrequency (%)
2024-01-01 50
89.3%
2022-09-24 2
 
3.6%
2022-03-07 2
 
3.6%
2023-04-13 2
 
3.6%

Length

2024-03-14T19:41:20.418637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:41:20.732871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-01 50
89.3%
2022-09-24 2
 
3.6%
2022-03-07 2
 
3.6%
2023-04-13 2
 
3.6%

지정종료일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size576.0 B
2026-12-31
50 
2025-09-23
 
2
2025-03-06
 
2
2026-04-12
 
2

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2026-12-31
2nd row2026-12-31
3rd row2026-12-31
4th row2026-12-31
5th row2026-12-31

Common Values

ValueCountFrequency (%)
2026-12-31 50
89.3%
2025-09-23 2
 
3.6%
2025-03-06 2
 
3.6%
2026-04-12 2
 
3.6%

Length

2024-03-14T19:41:21.092853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:41:21.407961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2026-12-31 50
89.3%
2025-09-23 2
 
3.6%
2025-03-06 2
 
3.6%
2026-04-12 2
 
3.6%

도로명주소
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-14T19:41:22.513066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length38.678571
Min length24

Characters and Unicode

Total characters2166
Distinct characters168
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

Unique56 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 장안구 경수대로 1022, 2층(파장동)
2nd row경기도 수원시 장안구 대평로 128, 4층 404호(정자동, 파크프라자)
3rd row경기도 수원시 장안구 대평로90번길 19, 3층 324호(정자동, 라이프스포츠 수원)
4th row경기도 수원시 장안구 서부로 2161, 503호(율전동)
5th row경기도 수원시 장안구 서부로2197번길 47-1, 3층(율전동)
ValueCountFrequency (%)
경기도 56
 
14.4%
수원시 56
 
14.4%
권선구 20
 
5.1%
영통구 18
 
4.6%
장안구 12
 
3.1%
팔달구 6
 
1.5%
호매실로104번길 4
 
1.0%
4층 4
 
1.0%
2층 4
 
1.0%
21 3
 
0.8%
Other values (186) 207
53.1%
2024-03-14T19:41:24.009645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
334
 
15.4%
, 87
 
4.0%
1 69
 
3.2%
원 68
 
3.1%
수 64
 
3.0%
0 64
 
3.0%
2 63
 
2.9%
동 60
 
2.8%
로 59
 
2.7%
경 58
 
2.7%
Other values (158) 1240
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1194
55.1%
Decimal Number 400
 
18.5%
Space Separator 334
 
15.4%
Other Punctuation 105
 
4.8%
Open Punctuation 56
 
2.6%
Close Punctuation 56
 
2.6%
Uppercase Letter 13
 
0.6%
Dash Punctuation 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 68
 
5.7%
수 64
 
5.4%
동 60
 
5.0%
로 59
 
4.9%
경 58
 
4.9%
도 58
 
4.9%
구 57
 
4.8%
시 57
 
4.8%
기 56
 
4.7%
호 46
 
3.9%
Other values (134) 611
51.2%
Decimal Number
ValueCountFrequency (%)
1 69
17.2%
0 64
16.0%
2 63
15.8%
4 47
11.8%
3 46
11.5%
7 27
 
6.8%
5 27
 
6.8%
6 25
 
6.2%
9 21
 
5.2%
8 11
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
15.4%
K 2
15.4%
J 2
15.4%
D 2
15.4%
S 2
15.4%
A 1
7.7%
T 1
7.7%
M 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 87
82.9%
/ 18
 
17.1%
Space Separator
ValueCountFrequency (%)
334
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1194
55.1%
Common 959
44.3%
Latin 13
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 68
 
5.7%
수 64
 
5.4%
동 60
 
5.0%
로 59
 
4.9%
경 58
 
4.9%
도 58
 
4.9%
구 57
 
4.8%
시 57
 
4.8%
기 56
 
4.7%
호 46
 
3.9%
Other values (134) 611
51.2%
Common
ValueCountFrequency (%)
334
34.8%
, 87
 
9.1%
1 69
 
7.2%
0 64
 
6.7%
2 63
 
6.6%
( 56
 
5.8%
) 56
 
5.8%
4 47
 
4.9%
3 46
 
4.8%
7 27
 
2.8%
Other values (6) 110
 
11.5%
Latin
ValueCountFrequency (%)
B 2
15.4%
K 2
15.4%
J 2
15.4%
D 2
15.4%
S 2
15.4%
A 1
7.7%
T 1
7.7%
M 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1194
55.1%
ASCII 972
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
334
34.4%
, 87
 
9.0%
1 69
 
7.1%
0 64
 
6.6%
2 63
 
6.5%
( 56
 
5.8%
) 56
 
5.8%
4 47
 
4.8%
3 46
 
4.7%
7 27
 
2.8%
Other values (14) 123
 
12.7%
Hangul
ValueCountFrequency (%)
원 68
 
5.7%
수 64
 
5.4%
동 60
 
5.0%
로 59
 
4.9%
경 58
 
4.9%
도 58
 
4.9%
구 57
 
4.8%
시 57
 
4.8%
기 56
 
4.7%
호 46
 
3.9%
Other values (134) 611
51.2%

지번주소
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-14T19:41:25.244905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31.5
Mean length28.232143
Min length21

Characters and Unicode

Total characters1581
Distinct characters72
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)96.4%

Sample

1st row경기도 수원시 장안구 파장동 627-6, 2층
2nd row경기도 수원시 장안구 정자동 266-3, 4층 404호
3rd row경기도 수원시 장안구 정자동 872-2, 3층 324호
4th row경기도 수원시 장안구 율전동 89-5, 503호
5th row경기도 수원시 장안구 율전동 102-2, 3층
ValueCountFrequency (%)
경기도 56
 
16.0%
수원시 56
 
16.0%
권선구 20
 
5.7%
영통구 18
 
5.2%
장안구 12
 
3.4%
2층 10
 
2.9%
영통동 9
 
2.6%
3층 8
 
2.3%
금곡동 7
 
2.0%
4층 6
 
1.7%
Other values (114) 147
42.1%
2024-03-14T19:41:26.680431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
 
18.5%
1 68
 
4.3%
원 60
 
3.8%
구 57
 
3.6%
2 57
 
3.6%
0 57
 
3.6%
경 56
 
3.5%
기 56
 
3.5%
시 56
 
3.5%
수 56
 
3.5%
Other values (62) 765
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 755
47.8%
Decimal Number 417
26.4%
Space Separator 293
 
18.5%
Other Punctuation 71
 
4.5%
Dash Punctuation 43
 
2.7%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 60
 
7.9%
구 57
 
7.5%
경 56
 
7.4%
기 56
 
7.4%
시 56
 
7.4%
수 56
 
7.4%
도 56
 
7.4%
동 55
 
7.3%
호 38
 
5.0%
층 32
 
4.2%
Other values (47) 233
30.9%
Decimal Number
ValueCountFrequency (%)
1 68
16.3%
2 57
13.7%
0 57
13.7%
3 54
12.9%
4 53
12.7%
5 33
7.9%
9 28
6.7%
6 27
 
6.5%
7 21
 
5.0%
8 19
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 53
74.6%
/ 18
 
25.4%
Space Separator
ValueCountFrequency (%)
293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 824
52.1%
Hangul 755
47.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 60
 
7.9%
구 57
 
7.5%
경 56
 
7.4%
기 56
 
7.4%
시 56
 
7.4%
수 56
 
7.4%
도 56
 
7.4%
동 55
 
7.3%
호 38
 
5.0%
층 32
 
4.2%
Other values (47) 233
30.9%
Common
ValueCountFrequency (%)
293
35.6%
1 68
 
8.3%
2 57
 
6.9%
0 57
 
6.9%
3 54
 
6.6%
, 53
 
6.4%
4 53
 
6.4%
- 43
 
5.2%
5 33
 
4.0%
9 28
 
3.4%
Other values (4) 85
 
10.3%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 826
52.2%
Hangul 755
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
293
35.5%
1 68
 
8.2%
2 57
 
6.9%
0 57
 
6.9%
3 54
 
6.5%
, 53
 
6.4%
4 53
 
6.4%
- 43
 
5.2%
5 33
 
4.0%
9 28
 
3.4%
Other values (5) 87
 
10.5%
Hangul
ValueCountFrequency (%)
원 60
 
7.9%
구 57
 
7.5%
경 56
 
7.4%
기 56
 
7.4%
시 56
 
7.4%
수 56
 
7.4%
도 56
 
7.4%
동 55
 
7.3%
호 38
 
5.0%
층 32
 
4.2%
Other values (47) 233
30.9%

위도
Real number (ℝ)

Distinct52
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.274712
Minimum37.234977
Maximum37.315314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size632.0 B
2024-03-14T19:41:26.926244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.234977
5-th percentile37.248151
Q137.259587
median37.273776
Q337.293135
95-th percentile37.302871
Maximum37.315314
Range0.08033621
Interquartile range (IQR)0.033548205

Descriptive statistics

Standard deviation0.019043345
Coefficient of variation (CV)0.00051089181
Kurtosis-0.91624661
Mean37.274712
Median Absolute Deviation (MAD)0.014566845
Skewness0.10479645
Sum2087.3839
Variance0.000362649
MonotonicityNot monotonic
2024-03-14T19:41:27.187016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.25958706 3
 
5.4%
37.29693844 2
 
3.6%
37.26979792 2
 
3.6%
37.30704878 1
 
1.8%
37.25448413 1
 
1.8%
37.27745492 1
 
1.8%
37.27330008 1
 
1.8%
37.2757471 1
 
1.8%
37.28394176 1
 
1.8%
37.29934528 1
 
1.8%
Other values (42) 42
75.0%
ValueCountFrequency (%)
37.23497746 1
1.8%
37.24444581 1
1.8%
37.24660191 1
1.8%
37.24866785 1
1.8%
37.25025953 1
1.8%
37.25094306 1
1.8%
37.25178087 1
1.8%
37.25203572 1
1.8%
37.2523037 1
1.8%
37.25448413 1
1.8%
ValueCountFrequency (%)
37.31531367 1
1.8%
37.30704878 1
1.8%
37.3041401 1
1.8%
37.30244834 1
1.8%
37.30127003 1
1.8%
37.29934528 1
1.8%
37.29893193 1
1.8%
37.29713479 1
1.8%
37.29693844 2
3.6%
37.29583639 1
1.8%

경도
Real number (ℝ)

Distinct52
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01291
Minimum126.9412
Maximum127.08164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size632.0 B
2024-03-14T19:41:27.444941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.9412
5-th percentile126.95347
Q1126.97448
median127.00977
Q3127.05054
95-th percentile127.07748
Maximum127.08164
Range0.1404372
Interquartile range (IQR)0.076063525

Descriptive statistics

Standard deviation0.042632971
Coefficient of variation (CV)0.00033565857
Kurtosis-1.2496058
Mean127.01291
Median Absolute Deviation (MAD)0.03709295
Skewness0.021494103
Sum7112.7229
Variance0.0018175702
MonotonicityNot monotonic
2024-03-14T19:41:27.722527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9626948 3
 
5.4%
126.9870001 2
 
3.6%
126.9541773 2
 
3.6%
127.0002433 1
 
1.8%
127.0750221 1
 
1.8%
127.0288104 1
 
1.8%
127.0018298 1
 
1.8%
127.0158964 1
 
1.8%
127.056778 1
 
1.8%
127.0466457 1
 
1.8%
Other values (42) 42
75.0%
ValueCountFrequency (%)
126.9412026 1
 
1.8%
126.9418519 1
 
1.8%
126.9529603 1
 
1.8%
126.9536391 1
 
1.8%
126.9541773 2
3.6%
126.9543349 1
 
1.8%
126.9626349 1
 
1.8%
126.9626948 3
5.4%
126.9702269 1
 
1.8%
126.9724598 1
 
1.8%
ValueCountFrequency (%)
127.0816398 1
1.8%
127.0812356 1
1.8%
127.0775196 1
1.8%
127.0774604 1
1.8%
127.0750221 1
1.8%
127.0744591 1
1.8%
127.07402 1
1.8%
127.0722009 1
1.8%
127.0581617 1
1.8%
127.0570044 1
1.8%

연락처
Text

MISSING 

Distinct50
Distinct (%)96.2%
Missing4
Missing (%)7.1%
Memory size576.0 B
2024-03-14T19:41:28.682074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.115385
Min length12

Characters and Unicode

Total characters630
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

Unique48 ?
Unique (%)92.3%

Sample

1st row031-253-9098
2nd row070-8833-2963
3rd row031-292-3188
4th row031-8004-1909
5th row031-248-5333
ValueCountFrequency (%)
031-254-4888 2
 
3.8%
031-298-0701 2
 
3.8%
031-203-5275 1
 
1.9%
031-546-0514 1
 
1.9%
031-213-6644 1
 
1.9%
031-241-3599 1
 
1.9%
0507-1354-6559 1
 
1.9%
031-212-7255 1
 
1.9%
031-212-2568 1
 
1.9%
031-212-2988 1
 
1.9%
Other values (40) 40
76.9%
2024-03-14T19:41:30.046474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 104
16.5%
0 92
14.6%
3 83
13.2%
1 83
13.2%
2 82
13.0%
5 39
 
6.2%
8 36
 
5.7%
9 34
 
5.4%
7 32
 
5.1%
4 30
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 526
83.5%
Dash Punctuation 104
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
17.5%
3 83
15.8%
1 83
15.8%
2 82
15.6%
5 39
7.4%
8 36
 
6.8%
9 34
 
6.5%
7 32
 
6.1%
4 30
 
5.7%
6 15
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 630
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 104
16.5%
0 92
14.6%
3 83
13.2%
1 83
13.2%
2 82
13.0%
5 39
 
6.2%
8 36
 
5.7%
9 34
 
5.4%
7 32
 
5.1%
4 30
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 104
16.5%
0 92
14.6%
3 83
13.2%
1 83
13.2%
2 82
13.0%
5 39
 
6.2%
8 36
 
5.7%
9 34
 
5.4%
7 32
 
5.1%
4 30
 
4.8%

서비스대상
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size576.0 B
본인
44 
본인+가족
12 

Length

Max length5
Median length2
Mean length2.6428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본인 44
78.6%
본인+가족 12
 
21.4%

Length

2024-03-14T19:41:30.477265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:41:30.791495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본인 44
78.6%
본인+가족 12
 
21.4%

제공서비스
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size576.0 B
발달
19 
발달+언어
19 
발달+언어+부모
9 
방과후
6 
발달+부모
3 

Length

Max length8
Median length5
Mean length4.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
발달 19
33.9%
발달+언어 19
33.9%
발달+언어+부모 9
16.1%
방과후 6
 
10.7%
발달+부모 3
 
5.4%

Length

2024-03-14T19:41:31.144077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:41:31.480580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발달 19
33.9%
발달+언어 19
33.9%
발달+언어+부모 9
16.1%
방과후 6
 
10.7%
발달+부모 3
 
5.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-01-29
56 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-29
2nd row2024-01-29
3rd row2024-01-29
4th row2024-01-29
5th row2024-01-29

Common Values

ValueCountFrequency (%)
2024-01-29 56
100.0%

Length

2024-03-14T19:41:31.836701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:41:31.993318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-29 56
100.0%

Interactions

2024-03-14T19:41:15.358460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:41:14.824268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:41:15.626372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:41:15.090045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:41:32.104371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정기관명지정시작일지정종료일도로명주소지번주소위도경도연락처서비스대상제공서비스
지정기관명1.0000.0000.0001.0000.9971.0001.0001.0001.0000.794
지정시작일0.0001.0001.0001.0000.0000.5420.0000.0000.0000.604
지정종료일0.0001.0001.0001.0000.0000.5420.0000.0000.0000.604
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지번주소0.9970.0000.0001.0001.0001.0001.0000.9901.0000.794
위도1.0000.5420.5421.0001.0001.0000.8760.9830.0000.296
경도1.0000.0000.0001.0001.0000.8761.0000.9670.0000.000
연락처1.0000.0000.0001.0000.9900.9830.9671.0001.0000.940
서비스대상1.0000.0000.0001.0001.0000.0000.0001.0001.0001.000
제공서비스0.7940.6040.6041.0000.7940.2960.0000.9401.0001.000
2024-03-14T19:41:32.341040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스대상제공서비스지정종료일지정시작일
서비스대상1.0000.9720.0000.000
제공서비스0.9721.0000.5250.525
지정종료일0.0000.5251.0001.000
지정시작일0.0000.5251.0001.000
2024-03-14T19:41:32.511693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도지정시작일지정종료일서비스대상제공서비스
위도1.000-0.2780.3300.3300.0000.107
경도-0.2781.0000.0000.0000.0000.000
지정시작일0.3300.0001.0001.0000.0000.525
지정종료일0.3300.0001.0001.0000.0000.525
서비스대상0.0000.0000.0000.0001.0000.972
제공서비스0.1070.0000.5250.5250.9721.000

Missing values

2024-03-14T19:41:16.008851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:41:16.565926image/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

시도명시군명지정기관명지정시작일지정종료일도로명주소지번주소위도경도연락처서비스대상제공서비스데이터기준일자
0경기도수원시수원아동발달문화센터2024-01-012026-12-31경기도 수원시 장안구 경수대로 1022, 2층(파장동)경기도 수원시 장안구 파장동 627-6, 2층37.307049127.000243031-253-9098본인발달2024-01-29
1경기도수원시마음뜰clinic 운동발달센터2024-01-012026-12-31경기도 수원시 장안구 대평로 128, 4층 404호(정자동, 파크프라자)경기도 수원시 장안구 정자동 266-3, 4층 404호37.298932126.991317070-8833-2963본인발달2024-01-29
2경기도수원시김도영언어인지발달상담센터2024-01-012026-12-31경기도 수원시 장안구 대평로90번길 19, 3층 324호(정자동, 라이프스포츠 수원)경기도 수원시 장안구 정자동 872-2, 3층 324호37.297135126.993762031-292-3188본인발달2024-01-29
3경기도수원시위드가족심리지원센터2024-01-012026-12-31경기도 수원시 장안구 서부로 2161, 503호(율전동)경기도 수원시 장안구 율전동 89-5, 503호37.30127126.97246<NA>본인발달2024-01-29
4경기도수원시지혜나무심리상담센터2024-01-012026-12-31경기도 수원시 장안구 서부로2197번길 47-1, 3층(율전동)경기도 수원시 장안구 율전동 102-2, 3층37.30414126.970227031-8004-1909본인발달2024-01-29
5경기도수원시아이숲아동발달센터2024-01-012026-12-31경기도 수원시 장안구 송원로 83, 4층 403호(조원동, 메가플러스3차)경기도 수원시 장안구 조원동 898-2, 4층 403호37.302448127.009524031-248-5333본인발달+언어2024-01-29
6경기도수원시참사랑심리학습연구소2024-01-012026-12-31경기도 수원시 장안구 송정로 64, 2층(정자동)경기도 수원시 장안구 정자동 36-2, 2층37.295836127.004157031-246-3339본인+가족발달+언어+부모2024-01-29
7경기도수원시꿈나무심리언어연구소2024-01-012026-12-31경기도 수원시 장안구 정조로 988, 212호(조원동, 조원샤르망)경기도 수원시 장안구 조원동 675-4, 212호37.295125127.010024031-254-4888본인+가족발달+언어+부모2024-01-29
8경기도수원시동남보건대학교 아동발달지원센터2024-01-012026-12-31경기도 수원시 장안구 천천로74번길 50, 노송관 1층(정자동)경기도 수원시 장안구 정자동 937, 노송관 1층37.296938126.987031-249-6260본인발달2024-01-29
9경기도수원시수원아이언어심리센터2024-01-012026-12-31경기도 수원시 장안구 화산로125번길 10, 3층(천천동)경기도 수원시 장안구 천천동 339-32, 3층37.294328126.979773031-297-0701본인발달+언어2024-01-29
시도명시군명지정기관명지정시작일지정종료일도로명주소지번주소위도경도연락처서비스대상제공서비스데이터기준일자
46경기도수원시아주청각언어센터2024-01-012026-12-31경기도 수원시 영통구 월드컵로 185, 304/305호(원천동)경기도 수원시 영통구 원천동 38-26, 304/305호37.278664127.045282031-211-4578본인발달+언어2024-01-29
47경기도수원시수원시장애인종합복지관2024-01-012026-12-31경기도 수원시 영통구 창룡대로 255(이의동)경기도 수원시 영통구 이의동 1088-1337.295548127.036051031-548-5614본인발달2024-01-29
48경기도수원시해담심리언어발달센터2024-01-012026-12-31경기도 수원시 영통구 청명남로 21, 709/710호(영통동, 아셈프라자)경기도 수원시 영통구 영통동 998-6, 709/710호37.252036127.074459031-203-1020본인발달2024-01-29
49경기도수원시하나애2024-01-012026-12-31경기도 수원시 영통구 태장로54번길 92, 406호(망포동, 진성프라자)경기도 수원시 영통구 망포동 649-38, 406호37.234977127.051695031-204-7701본인발달+언어2024-01-29
50경기도수원시꿈고래놀이터 사회적협동조합2022-09-242025-09-23경기도 수원시 권선구 금호로23번길 21, 3층(금곡동)경기도 수원시 권선구 금곡동 245-73, 3층37.269798126.954177031-291-1658본인방과후2024-01-29
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