Overview

Dataset statistics

Number of variables8
Number of observations26
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory71.1 B

Variable types

Text4
Categorical2
Numeric2

Dataset

Description인천광역시 서구 발달재활서비스 현황(기관명, 유형, 주소, 이용자수, 제공인력수, 대표자명, 전화번호)입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15067872&srcSe=7661IVAWM27C61E190

Alerts

유형 has constant value ""Constant
데이터기준일자 has constant value ""Constant
이용자수 is highly overall correlated with 제공 인력수High correlation
제공 인력수 is highly overall correlated with 이용자수High correlation
전화번호 has 1 (3.8%) missing valuesMissing
기관명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:00:08.643098
Analysis finished2024-01-28 16:00:09.331229
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-29T01:00:09.454820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length10.615385
Min length4

Characters and Unicode

Total characters276
Distinct characters89
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowe-다솜누리아동발달센터
2nd row검단라파언어심리센터
3rd row국제아동청소년심리발달센터
4th row금별심리상담센터
5th row김태우심리언어연구소
ValueCountFrequency (%)
주식회사 3
 
9.4%
e-다솜누리아동발달센터 1
 
3.1%
청라라파 1
 
3.1%
아동청소년심리발달센터 1
 
3.1%
공감 1
 
3.1%
마음과 1
 
3.1%
꿈비아동발달센터 1
 
3.1%
희망찬심리발달센터 1
 
3.1%
휴먼피아 1
 
3.1%
헬로마미감각통합발달센터 1
 
3.1%
Other values (20) 20
62.5%
2024-01-29T01:00:09.735522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 21
 
7.6%
터 21
 
7.6%
발 18
 
6.5%
달 18
 
6.5%
리 15
 
5.4%
아 14
 
5.1%
동 13
 
4.7%
심 11
 
4.0%
소 9
 
3.3%
청 6
 
2.2%
Other values (79) 130
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
97.1%
Space Separator 6
 
2.2%
Lowercase Letter 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 21
 
7.8%
터 21
 
7.8%
발 18
 
6.7%
달 18
 
6.7%
리 15
 
5.6%
아 14
 
5.2%
동 13
 
4.9%
심 11
 
4.1%
소 9
 
3.4%
청 6
 
2.2%
Other values (76) 122
45.5%
Space Separator
ValueCountFrequency (%)
6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
97.1%
Common 7
 
2.5%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 21
 
7.8%
터 21
 
7.8%
발 18
 
6.7%
달 18
 
6.7%
리 15
 
5.6%
아 14
 
5.2%
동 13
 
4.9%
심 11
 
4.1%
소 9
 
3.4%
청 6
 
2.2%
Other values (76) 122
45.5%
Common
ValueCountFrequency (%)
6
85.7%
- 1
 
14.3%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
97.1%
ASCII 8
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 21
 
7.8%
터 21
 
7.8%
발 18
 
6.7%
달 18
 
6.7%
리 15
 
5.6%
아 14
 
5.2%
동 13
 
4.9%
심 11
 
4.1%
소 9
 
3.4%
청 6
 
2.2%
Other values (76) 122
45.5%
ASCII
ValueCountFrequency (%)
6
75.0%
e 1
 
12.5%
- 1
 
12.5%

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
영리
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영리 26
100.0%

Length

2024-01-29T01:00:09.838073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:00:09.909831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영리 26
100.0%

주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-29T01:00:10.125681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length38.115385
Min length27

Characters and Unicode

Total characters991
Distinct characters114
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 율도로 98, 501호 (석남동)
2nd row인천광역시 서구 검단로459번길 3-2, 401호, 403호 (왕길동, 파크프라자)
3rd row인천광역시 서구 완정로 70, 203호 (마전동, 영남탑스빌 웨빌타운)
4th row인천광역시 서구 원적로 85, 209호 (가좌동, 우신프라자)
5th row인천광역시 서구 염곡로 468, 502~503호 (가정동, 드림타워)
ValueCountFrequency (%)
인천광역시 26
 
14.1%
서구 26
 
14.1%
가정동 4
 
2.2%
403호 4
 
2.2%
401호 3
 
1.6%
연희동 3
 
1.6%
가정로 3
 
1.6%
당하동 3
 
1.6%
가좌동 3
 
1.6%
청라에메랄드로102번길 2
 
1.1%
Other values (95) 107
58.2%
2024-01-29T01:00:10.466040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
15.9%
, 49
 
4.9%
0 45
 
4.5%
서 29
 
2.9%
4 27
 
2.7%
2 27
 
2.7%
) 27
 
2.7%
동 27
 
2.7%
인 27
 
2.7%
3 27
 
2.7%
Other values (104) 548
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
52.1%
Decimal Number 200
 
20.2%
Space Separator 158
 
15.9%
Other Punctuation 49
 
4.9%
Close Punctuation 27
 
2.7%
Open Punctuation 26
 
2.6%
Math Symbol 8
 
0.8%
Dash Punctuation 3
 
0.3%
Uppercase Letter 2
 
0.2%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 29
 
5.6%
동 27
 
5.2%
인 27
 
5.2%
시 27
 
5.2%
호 26
 
5.0%
광 26
 
5.0%
역 26
 
5.0%
구 26
 
5.0%
로 26
 
5.0%
천 26
 
5.0%
Other values (84) 250
48.4%
Decimal Number
ValueCountFrequency (%)
0 45
22.5%
4 27
13.5%
2 27
13.5%
3 27
13.5%
1 23
11.5%
5 17
 
8.5%
7 11
 
5.5%
6 10
 
5.0%
9 7
 
3.5%
8 6
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
158
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
52.1%
Common 471
47.5%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 29
 
5.6%
동 27
 
5.2%
인 27
 
5.2%
시 27
 
5.2%
호 26
 
5.0%
광 26
 
5.0%
역 26
 
5.0%
구 26
 
5.0%
로 26
 
5.0%
천 26
 
5.0%
Other values (84) 250
48.4%
Common
ValueCountFrequency (%)
158
33.5%
, 49
 
10.4%
0 45
 
9.6%
4 27
 
5.7%
2 27
 
5.7%
) 27
 
5.7%
3 27
 
5.7%
( 26
 
5.5%
1 23
 
4.9%
5 17
 
3.6%
Other values (6) 45
 
9.6%
Latin
ValueCountFrequency (%)
J 1
25.0%
k 1
25.0%
s 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
52.1%
ASCII 475
47.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
33.3%
, 49
 
10.3%
0 45
 
9.5%
4 27
 
5.7%
2 27
 
5.7%
) 27
 
5.7%
3 27
 
5.7%
( 26
 
5.5%
1 23
 
4.8%
5 17
 
3.6%
Other values (10) 49
 
10.3%
Hangul
ValueCountFrequency (%)
서 29
 
5.6%
동 27
 
5.2%
인 27
 
5.2%
시 27
 
5.2%
호 26
 
5.0%
광 26
 
5.0%
역 26
 
5.0%
구 26
 
5.0%
로 26
 
5.0%
천 26
 
5.0%
Other values (84) 250
48.4%

이용자수
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.923077
Minimum3
Maximum179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-29T01:00:10.568849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q119.25
median37.5
Q358.75
95-th percentile136.25
Maximum179
Range176
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation44.230237
Coefficient of variation (CV)0.90407717
Kurtosis2.1928899
Mean48.923077
Median Absolute Deviation (MAD)21
Skewness1.5672157
Sum1272
Variance1956.3138
MonotonicityNot monotonic
2024-01-29T01:00:10.665843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10 3
 
11.5%
43 2
 
7.7%
67 1
 
3.8%
20 1
 
3.8%
31 1
 
3.8%
40 1
 
3.8%
35 1
 
3.8%
78 1
 
3.8%
47 1
 
3.8%
138 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
3 1
 
3.8%
6 1
 
3.8%
10 3
11.5%
12 1
 
3.8%
19 1
 
3.8%
20 1
 
3.8%
25 1
 
3.8%
30 1
 
3.8%
31 1
 
3.8%
32 1
 
3.8%
ValueCountFrequency (%)
179 1
3.8%
138 1
3.8%
131 1
3.8%
99 1
3.8%
78 1
3.8%
67 1
3.8%
61 1
3.8%
52 1
3.8%
51 1
3.8%
47 1
3.8%

제공 인력수
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3076923
Minimum2
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-29T01:00:10.755372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7.5
Q313
95-th percentile18.5
Maximum28
Range26
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.304089
Coefficient of variation (CV)0.67729882
Kurtosis1.4794239
Mean9.3076923
Median Absolute Deviation (MAD)3.5
Skewness1.1834405
Sum242
Variance39.741538
MonotonicityNot monotonic
2024-01-29T01:00:10.843360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4 4
15.4%
10 3
11.5%
7 3
11.5%
3 3
11.5%
16 2
7.7%
5 2
7.7%
13 2
7.7%
17 1
 
3.8%
9 1
 
3.8%
15 1
 
3.8%
Other values (4) 4
15.4%
ValueCountFrequency (%)
2 1
 
3.8%
3 3
11.5%
4 4
15.4%
5 2
7.7%
7 3
11.5%
8 1
 
3.8%
9 1
 
3.8%
10 3
11.5%
13 2
7.7%
15 1
 
3.8%
ValueCountFrequency (%)
28 1
 
3.8%
19 1
 
3.8%
17 1
 
3.8%
16 2
7.7%
15 1
 
3.8%
13 2
7.7%
10 3
11.5%
9 1
 
3.8%
8 1
 
3.8%
7 3
11.5%

대표자명
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-29T01:00:10.991411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9615385
Min length2

Characters and Unicode

Total characters77
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

Unique24 ?
Unique (%)92.3%

Sample

1st row서지원
2nd row차진희
3rd row김지혜
4th row한경주
5th row김태우
ValueCountFrequency (%)
김지혜 2
 
7.7%
서지원 1
 
3.8%
윤현정 1
 
3.8%
이규만 1
 
3.8%
김선미 1
 
3.8%
이경주 1
 
3.8%
임선진 1
 
3.8%
김유리 1
 
3.8%
정지현 1
 
3.8%
김양희 1
 
3.8%
Other values (15) 15
57.7%
2024-01-29T01:00:11.242109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
9.1%
지 5
 
6.5%
이 5
 
6.5%
권 4
 
5.2%
희 4
 
5.2%
경 3
 
3.9%
주 3
 
3.9%
정 3
 
3.9%
현 3
 
3.9%
혜 3
 
3.9%
Other values (28) 37
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
9.1%
지 5
 
6.5%
이 5
 
6.5%
권 4
 
5.2%
희 4
 
5.2%
경 3
 
3.9%
주 3
 
3.9%
정 3
 
3.9%
현 3
 
3.9%
혜 3
 
3.9%
Other values (28) 37
48.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
9.1%
지 5
 
6.5%
이 5
 
6.5%
권 4
 
5.2%
희 4
 
5.2%
경 3
 
3.9%
주 3
 
3.9%
정 3
 
3.9%
현 3
 
3.9%
혜 3
 
3.9%
Other values (28) 37
48.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
9.1%
지 5
 
6.5%
이 5
 
6.5%
권 4
 
5.2%
희 4
 
5.2%
경 3
 
3.9%
주 3
 
3.9%
정 3
 
3.9%
현 3
 
3.9%
혜 3
 
3.9%
Other values (28) 37
48.1%

전화번호
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2024-01-29T01:00:11.418174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.04
Min length12

Characters and Unicode

Total characters301
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

Unique25 ?
Unique (%)100.0%

Sample

1st row032-584-0357
2nd row032-565-7757
3rd row032-564-7774
4th row032-574-1843
5th row032-821-2752
ValueCountFrequency (%)
032-584-0357 1
 
4.0%
032-567-4003 1
 
4.0%
032-562-2280 1
 
4.0%
032-513-7005 1
 
4.0%
032-567-7120 1
 
4.0%
032-564-5175 1
 
4.0%
032-724-8776 1
 
4.0%
032-563-5697 1
 
4.0%
032-572-8383 1
 
4.0%
032-572-3434 1
 
4.0%
Other values (15) 15
60.0%
2024-01-29T01:00:11.684447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.6%
2 41
13.6%
7 41
13.6%
0 36
12.0%
3 36
12.0%
5 35
11.6%
6 21
7.0%
4 18
 
6.0%
8 11
 
3.7%
1 10
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 251
83.4%
Dash Punctuation 50
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 41
16.3%
7 41
16.3%
0 36
14.3%
3 36
14.3%
5 35
13.9%
6 21
8.4%
4 18
7.2%
8 11
 
4.4%
1 10
 
4.0%
9 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 301
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.6%
2 41
13.6%
7 41
13.6%
0 36
12.0%
3 36
12.0%
5 35
11.6%
6 21
7.0%
4 18
 
6.0%
8 11
 
3.7%
1 10
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.6%
2 41
13.6%
7 41
13.6%
0 36
12.0%
3 36
12.0%
5 35
11.6%
6 21
7.0%
4 18
 
6.0%
8 11
 
3.7%
1 10
 
3.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-03-08
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-08
2nd row2023-03-08
3rd row2023-03-08
4th row2023-03-08
5th row2023-03-08

Common Values

ValueCountFrequency (%)
2023-03-08 26
100.0%

Length

2024-01-29T01:00:11.789784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:00:11.857691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-08 26
100.0%

Interactions

2024-01-29T01:00:09.050950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:00:08.910986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:00:09.116469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:00:08.977413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:00:11.901472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명주소이용자수제공 인력수대표자명전화번호
기관명1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
이용자수1.0001.0001.0000.8970.9721.000
제공 인력수1.0001.0000.8971.0000.9021.000
대표자명1.0001.0000.9720.9021.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2024-01-29T01:00:11.981899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자수제공 인력수
이용자수1.0000.654
제공 인력수0.6541.000

Missing values

2024-01-29T01:00:09.198739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:00:09.292926image/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

기관명유형주소이용자수제공 인력수대표자명전화번호데이터기준일자
0e-다솜누리아동발달센터영리인천광역시 서구 율도로 98, 501호 (석남동)674서지원032-584-03572023-03-08
1검단라파언어심리센터영리인천광역시 서구 검단로459번길 3-2, 401호, 403호 (왕길동, 파크프라자)13117차진희032-565-77572023-03-08
2국제아동청소년심리발달센터영리인천광역시 서구 완정로 70, 203호 (마전동, 영남탑스빌 웨빌타운)439김지혜032-564-77742023-03-08
3금별심리상담센터영리인천광역시 서구 원적로 85, 209호 (가좌동, 우신프라자)5116한경주032-574-18432023-03-08
4김태우심리언어연구소영리인천광역시 서구 염곡로 468, 502~503호 (가정동, 드림타워)3015김태우032-821-27522023-03-08
5다솜누리아동발달센터영리인천광역시 서구 가정로 302, 5층 (석남동, 삼정빌딩)9910임세혁070-7767-03572023-03-08
6다온아동발달센터영리인천광역시 서구 검단로 500, 302호 (마전동, 더블유빌딩)255이지원032-715-82442023-03-08
7라파언어심리센터영리인천광역시 서구 승학로 543, 201~202호) (검암동, 경서프라자)6113차진아032-567-77572023-03-08
8바론아동청소년발달센터영리인천광역시 서구 청라커낼로 264, 401~402호 (경서동, 청라두손중앙프라자)527이나나032-565-46902023-03-08
9밝은마음아동청소년상담센터영리인천광역시 서구 승학로 497, 403호 (검암동, 검암프라자)194권명수032-263-41582023-03-08
기관명유형주소이용자수제공 인력수대표자명전화번호데이터기준일자
16주식회사 김경혜심리발달클리닉영리인천광역시 서구 원적로 120, 403호, 502호 (가좌동 인성프라자)4313김경혜032-572-34342023-03-08
17하늘소리언어치료센터영리인천광역시 서구 가정로 351, 5층 (신현동, 두산빌딩)13816김양희032-572-83832023-03-08
18한양심리발달연구소영리인천광역시 서구 중봉대로 594, 701호 (연희동)478정지현032-563-56972023-03-08
19햇살나무발달센터영리인천광역시 서구 청마로167번길 3, 302호 (당하동, 대우프라자)787김유리032-724-87762023-03-08
20헬로마미감각통합발달센터영리인천광역시 서구 청마로167번길 14, 401호 (당하동, 성경빌딩)357임선진032-564-51752023-03-08
21휴먼피아영리인천광역시 서구 중봉대로612번길 10-8, 404호 (연희동, 반안프라자)4010이경주032-567-71202023-03-08
22희망찬심리발달센터영리인천광역시 서구 청라에메랄드로102번길 26, 305~306호 (연희동, 서진프라자)315김선미032-513-70052023-03-08
23꿈비아동발달센터영리인천광역시 서구 고산후로121번길 15, 4층 403호 (원당동, 삼경프라자)104이규만032-562-22802023-03-08
24마음과 공감 아동청소년심리발달센터영리인천광역시 서구 가정로 437, 301동 307호 (가정동, 루원시티 sk리더스뷰)103김지혜032-574-77742023-03-08
25한결아동발달연구소영리인천광역시 서구 이음5로 60, 401호 (원당동, JS프라자)104이선희<NA>2023-03-08