Overview

Dataset statistics

Number of variables5
Number of observations62
Missing cells7
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory43.1 B

Variable types

Numeric1
Text4

Dataset

Description인천광역시 미추홀구의 심리상담소에 대한 데이터입니다. 상호명, 지번주소, 도로명주소, 전화번호 등의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15088470/fileData.do

Alerts

도로명주소 has 2 (3.2%) missing valuesMissing
전화번호 has 5 (8.1%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:24:00.554389
Analysis finished2023-12-12 05:24:01.489044
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.612903
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T14:24:01.579484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.05
Q116.25
median31.5
Q346.75
95-th percentile59.95
Maximum63
Range62
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation18.218487
Coefficient of variation (CV)0.57629908
Kurtosis-1.173233
Mean31.612903
Median Absolute Deviation (MAD)15.5
Skewness0.02715081
Sum1960
Variance331.91327
MonotonicityStrictly increasing
2023-12-12T14:24:01.765414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
48 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (52) 52
83.9%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%

상호명
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T14:24:02.076048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.8225806
Min length3

Characters and Unicode

Total characters609
Distinct characters175
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row허그맘허그인 심리상담센터 인천주안센터
2nd row단비마인드심리상담센터
3rd row마음숲심리상담센터
4th row한스심리상담센터
5th row인천미추홀구청소년상담복지센터
ValueCountFrequency (%)
인천 2
 
2.5%
부설 2
 
2.5%
허그맘허그인 1
 
1.2%
인천광역시교육청 1
 
1.2%
예술심리교육센터 1
 
1.2%
마음디딤 1
 
1.2%
인천스마일센터 1
 
1.2%
자라는나무 1
 
1.2%
abc운동발달센터 1
 
1.2%
인천생명의전화 1
 
1.2%
Other values (69) 69
85.2%
2023-12-12T14:24:02.579877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 33
 
5.4%
터 32
 
5.3%
상 27
 
4.4%
담 25
 
4.1%
리 24
 
3.9%
심 23
 
3.8%
19
 
3.1%
인 16
 
2.6%
소 16
 
2.6%
구 13
 
2.1%
Other values (165) 381
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 574
94.3%
Space Separator 19
 
3.1%
Uppercase Letter 9
 
1.5%
Decimal Number 5
 
0.8%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 33
 
5.7%
터 32
 
5.6%
상 27
 
4.7%
담 25
 
4.4%
리 24
 
4.2%
심 23
 
4.0%
인 16
 
2.8%
소 16
 
2.8%
구 13
 
2.3%
천 12
 
2.1%
Other values (154) 353
61.5%
Uppercase Letter
ValueCountFrequency (%)
A 3
33.3%
B 2
22.2%
W 1
 
11.1%
C 1
 
11.1%
O 1
 
11.1%
H 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
0 1
 
20.0%
1 1
 
20.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 574
94.3%
Common 24
 
3.9%
Latin 11
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 33
 
5.7%
터 32
 
5.6%
상 27
 
4.7%
담 25
 
4.4%
리 24
 
4.2%
심 23
 
4.0%
인 16
 
2.8%
소 16
 
2.8%
구 13
 
2.3%
천 12
 
2.1%
Other values (154) 353
61.5%
Latin
ValueCountFrequency (%)
A 3
27.3%
e 2
18.2%
B 2
18.2%
W 1
 
9.1%
C 1
 
9.1%
O 1
 
9.1%
H 1
 
9.1%
Common
ValueCountFrequency (%)
19
79.2%
2 3
 
12.5%
0 1
 
4.2%
1 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 574
94.3%
ASCII 35
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 33
 
5.7%
터 32
 
5.6%
상 27
 
4.7%
담 25
 
4.4%
리 24
 
4.2%
심 23
 
4.0%
인 16
 
2.8%
소 16
 
2.8%
구 13
 
2.3%
천 12
 
2.1%
Other values (154) 353
61.5%
ASCII
ValueCountFrequency (%)
19
54.3%
2 3
 
8.6%
A 3
 
8.6%
e 2
 
5.7%
B 2
 
5.7%
W 1
 
2.9%
0 1
 
2.9%
1 1
 
2.9%
C 1
 
2.9%
O 1
 
2.9%

지번주소
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T14:24:02.899626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length25.225806
Min length18

Characters and Unicode

Total characters1564
Distinct characters114
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

Unique62 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 주안동 130-1 제이타워 9층
2nd row인천광역시 미추홀구 주안동 170-8 601호 단비마인드심리상담센터
3rd row인천광역시 미추홀구 학익동 401-58 11층 11018호
4th row인천광역시 미추홀구 학익동 678-2 2층
5th row인천광역시 미추홀구 주안동 232-3 청소년진로지원센터 5층
ValueCountFrequency (%)
인천광역시 62
20.2%
미추홀구 62
20.2%
주안동 25
 
8.1%
도화동 10
 
3.3%
학익동 8
 
2.6%
숭의동 7
 
2.3%
용현동 7
 
2.3%
2층 6
 
2.0%
3층 4
 
1.3%
문학동 3
 
1.0%
Other values (108) 113
36.8%
2023-12-12T14:24:03.358188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
 
15.9%
1 75
 
4.8%
인 66
 
4.2%
동 65
 
4.2%
시 63
 
4.0%
광 62
 
4.0%
역 62
 
4.0%
미 62
 
4.0%
추 62
 
4.0%
홀 62
 
4.0%
Other values (104) 737
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 911
58.2%
Decimal Number 344
 
22.0%
Space Separator 248
 
15.9%
Dash Punctuation 59
 
3.8%
Uppercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 66
 
7.2%
동 65
 
7.1%
시 63
 
6.9%
광 62
 
6.8%
역 62
 
6.8%
미 62
 
6.8%
추 62
 
6.8%
홀 62
 
6.8%
구 62
 
6.8%
천 62
 
6.8%
Other values (90) 283
31.1%
Decimal Number
ValueCountFrequency (%)
1 75
21.8%
2 46
13.4%
3 38
11.0%
0 34
9.9%
5 29
 
8.4%
9 29
 
8.4%
4 25
 
7.3%
6 24
 
7.0%
8 24
 
7.0%
7 20
 
5.8%
Space Separator
ValueCountFrequency (%)
248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 911
58.2%
Common 652
41.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 66
 
7.2%
동 65
 
7.1%
시 63
 
6.9%
광 62
 
6.8%
역 62
 
6.8%
미 62
 
6.8%
추 62
 
6.8%
홀 62
 
6.8%
구 62
 
6.8%
천 62
 
6.8%
Other values (90) 283
31.1%
Common
ValueCountFrequency (%)
248
38.0%
1 75
 
11.5%
- 59
 
9.0%
2 46
 
7.1%
3 38
 
5.8%
0 34
 
5.2%
5 29
 
4.4%
9 29
 
4.4%
4 25
 
3.8%
6 24
 
3.7%
Other values (3) 45
 
6.9%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 911
58.2%
ASCII 653
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
38.0%
1 75
 
11.5%
- 59
 
9.0%
2 46
 
7.0%
3 38
 
5.8%
0 34
 
5.2%
5 29
 
4.4%
9 29
 
4.4%
4 25
 
3.8%
6 24
 
3.7%
Other values (4) 46
 
7.0%
Hangul
ValueCountFrequency (%)
인 66
 
7.2%
동 65
 
7.1%
시 63
 
6.9%
광 62
 
6.8%
역 62
 
6.8%
미 62
 
6.8%
추 62
 
6.8%
홀 62
 
6.8%
구 62
 
6.8%
천 62
 
6.8%
Other values (90) 283
31.1%

도로명주소
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing2
Missing (%)3.2%
Memory size628.0 B
2023-12-12T14:24:03.591263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length26.6
Min length17

Characters and Unicode

Total characters1596
Distinct characters155
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 주안로 117-9 제이타워 9층
2nd row인천광역시 미추홀구 석바위로 78 601호 단비마인드심리상담센터
3rd row인천광역시 미추홀구 매소홀로 262 11층 11018호
4th row인천광역시 미추홀구 매소홀로 432 2층
5th row인천광역시 미추홀구 주안로 82 청소년진로지원센터 5층
ValueCountFrequency (%)
인천광역시 60
 
19.1%
미추홀구 60
 
19.1%
경인로 8
 
2.5%
2층 6
 
1.9%
매소홀로 6
 
1.9%
주안로 5
 
1.6%
3층 4
 
1.3%
소성로 4
 
1.3%
5층 3
 
1.0%
인주대로 3
 
1.0%
Other values (138) 155
49.4%
2023-12-12T14:24:03.956476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
 
15.9%
인 90
 
5.6%
홀 66
 
4.1%
천 62
 
3.9%
구 62
 
3.9%
시 61
 
3.8%
미 61
 
3.8%
추 61
 
3.8%
광 60
 
3.8%
역 60
 
3.8%
Other values (145) 759
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1027
64.3%
Decimal Number 299
 
18.7%
Space Separator 254
 
15.9%
Dash Punctuation 9
 
0.6%
Uppercase Letter 3
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 90
 
8.8%
홀 66
 
6.4%
천 62
 
6.0%
구 62
 
6.0%
시 61
 
5.9%
미 61
 
5.9%
추 61
 
5.9%
광 60
 
5.8%
역 60
 
5.8%
로 60
 
5.8%
Other values (126) 384
37.4%
Decimal Number
ValueCountFrequency (%)
1 56
18.7%
2 47
15.7%
3 35
11.7%
0 28
9.4%
4 27
9.0%
9 26
8.7%
5 26
8.7%
6 21
 
7.0%
8 19
 
6.4%
7 14
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
T 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1027
64.3%
Common 566
35.5%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 90
 
8.8%
홀 66
 
6.4%
천 62
 
6.0%
구 62
 
6.0%
시 61
 
5.9%
미 61
 
5.9%
추 61
 
5.9%
광 60
 
5.8%
역 60
 
5.8%
로 60
 
5.8%
Other values (126) 384
37.4%
Common
ValueCountFrequency (%)
254
44.9%
1 56
 
9.9%
2 47
 
8.3%
3 35
 
6.2%
0 28
 
4.9%
4 27
 
4.8%
9 26
 
4.6%
5 26
 
4.6%
6 21
 
3.7%
8 19
 
3.4%
Other values (6) 27
 
4.8%
Latin
ValueCountFrequency (%)
I 1
33.3%
T 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1027
64.3%
ASCII 569
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
44.6%
1 56
 
9.8%
2 47
 
8.3%
3 35
 
6.2%
0 28
 
4.9%
4 27
 
4.7%
9 26
 
4.6%
5 26
 
4.6%
6 21
 
3.7%
8 19
 
3.3%
Other values (9) 30
 
5.3%
Hangul
ValueCountFrequency (%)
인 90
 
8.8%
홀 66
 
6.4%
천 62
 
6.0%
구 62
 
6.0%
시 61
 
5.9%
미 61
 
5.9%
추 61
 
5.9%
광 60
 
5.8%
역 60
 
5.8%
로 60
 
5.8%
Other values (126) 384
37.4%

전화번호
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing5
Missing (%)8.1%
Memory size628.0 B
2023-12-12T14:24:04.171019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.877193
Min length9

Characters and Unicode

Total characters734
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

Unique57 ?
Unique (%)100.0%

Sample

1st row0507-1484-5855
2nd row0507-1369-1603
3rd row0507-1487-2233
4th row0507-1407-7940
5th row032-728-6835
ValueCountFrequency (%)
032-875-2993 1
 
1.8%
032-885-0808 1
 
1.8%
0507-1399-7120 1
 
1.8%
032-873-5055 1
 
1.8%
032-751-1199 1
 
1.8%
032-863-4864 1
 
1.8%
032-438-9191 1
 
1.8%
032-719-8191 1
 
1.8%
032-885-2333 1
 
1.8%
032-433-1295 1
 
1.8%
Other values (47) 47
82.5%
2023-12-12T14:24:04.713403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 119
16.2%
- 112
15.3%
3 87
11.9%
5 70
9.5%
7 65
8.9%
1 64
8.7%
2 63
8.6%
8 57
7.8%
4 39
 
5.3%
9 31
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 622
84.7%
Dash Punctuation 112
 
15.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 119
19.1%
3 87
14.0%
5 70
11.3%
7 65
10.5%
1 64
10.3%
2 63
10.1%
8 57
9.2%
4 39
 
6.3%
9 31
 
5.0%
6 27
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 734
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 119
16.2%
- 112
15.3%
3 87
11.9%
5 70
9.5%
7 65
8.9%
1 64
8.7%
2 63
8.6%
8 57
7.8%
4 39
 
5.3%
9 31
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 734
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 119
16.2%
- 112
15.3%
3 87
11.9%
5 70
9.5%
7 65
8.9%
1 64
8.7%
2 63
8.6%
8 57
7.8%
4 39
 
5.3%
9 31
 
4.2%

Interactions

2023-12-12T14:24:01.044566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:24:04.843548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명지번주소도로명주소전화번호
연번1.0001.0001.0001.0001.000
상호명1.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-12T14:24:01.180196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:24:01.309098image/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.
2023-12-12T14:24:01.429755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번상호명지번주소도로명주소전화번호
01허그맘허그인 심리상담센터 인천주안센터인천광역시 미추홀구 주안동 130-1 제이타워 9층인천광역시 미추홀구 주안로 117-9 제이타워 9층0507-1484-5855
12단비마인드심리상담센터인천광역시 미추홀구 주안동 170-8 601호 단비마인드심리상담센터인천광역시 미추홀구 석바위로 78 601호 단비마인드심리상담센터0507-1369-1603
23마음숲심리상담센터인천광역시 미추홀구 학익동 401-58 11층 11018호인천광역시 미추홀구 매소홀로 262 11층 11018호0507-1487-2233
34한스심리상담센터인천광역시 미추홀구 학익동 678-2 2층인천광역시 미추홀구 매소홀로 432 2층0507-1407-7940
45인천미추홀구청소년상담복지센터인천광역시 미추홀구 주안동 232-3 청소년진로지원센터 5층인천광역시 미추홀구 주안로 82 청소년진로지원센터 5층032-728-6835
56이음심리상담센터인천광역시 미추홀구 주안동 126-6 룩소르 603인천광역시 미추홀구 주안로 123 룩소르 6030507-1310-5945
67심리상담센터다움인천광역시 미추홀구 용현동 187-45 101호인천광역시 미추홀구 경인남길30번길 100-13032-875-3545
78마음숲아동청소년발달센터인천광역시 미추홀구 학익동 401-58 시티필드 11층 22호인천광역시 미추홀구 매소홀로 262 시티필드 11층 22호0507-1376-2236
89마음울림심리상담센터인천광역시 미추홀구 주안동 80-1인천광역시 미추홀구 경인로 391 현대아케이드 304호0507-1354-5952
910가심비심리상담연구소인천광역시 미추홀구 숭의동 301-1인천광역시 미추홀구 독배로 457 3층 312호 가심비심리상담연구소032-888-0972
연번상호명지번주소도로명주소전화번호
5253변향미긍정교육연구소인천광역시 미추홀구 주안동 1606인천광역시 미추홀구 인하로298번길 330507-1323-6254
5354한국정신건강연구소인천광역시 미추홀구 주안동 79-8 주안빌딩 3층인천광역시 미추홀구 경인로 399-1 (주)신대진사옥빌딩032-421-0734
5455현카운슬링인천광역시 미추홀구 관교동 481-5인천광역시 미추홀구 경원대로670번길 5-230507-1301-5468
5557행복한부모교육연구원인천광역시 미추홀구 주안동 111-2<NA>032-876-3990
5658미추홀구가정폭력상담소인천광역시 미추홀구 주안동 1495-6인천광역시 미추홀구 인하로 314 대한예수교장로회영락교회032-437-1141
5759용수사인천광역시 미추홀구 숭의동 146-11인천광역시 미추홀구 미추로64번길 30 숭의동146~110507-1353-3706
5860한국직무능력개발원인천광역시 미추홀구 주안동 211-7인천광역시 미추홀구 석바위로 53 이화빌딩 404호1833-7822
5961괜찮은사람들인천광역시 미추홀구 도화동 523-33인천광역시 미추홀구 경인로268번길 54-220507-1349-9201
6062예일교육인천광역시 미추홀구 용현동 573-2 2층인천광역시 미추홀구 아암대로29번길 13 2층0507-1372-8052
6163월드브렌진인천광역시 미추홀구 주안동 1250-1인천광역시 미추홀구 인하로298번길 27 정신빌딩 5층0507-1389-3911