Overview

Dataset statistics

Number of variables13
Number of observations22
Missing cells2
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory114.0 B

Variable types

Text6
Categorical4
Numeric3

Dataset

Description시설명,시설코드,시설종류명(시설유형),시설종류상세명(시설종류),자치구(시)구분,시설장명,시군구코드,시군구명,시설주소,정원(수용인원),현인원,전화번호,우편번호
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20432/S/1/datasetView.do

Alerts

시설종류명(시설유형) has constant value ""Constant
시설종류상세명(시설종류) has constant value ""Constant
자치구(시)구분 has constant value ""Constant
시군구코드 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
정원(수용인원) is highly overall correlated with 현인원High correlation
우편번호 is highly overall correlated with 시군구코드High correlation
현인원 is highly overall correlated with 시군구코드 and 1 other fieldsHigh correlation
정원(수용인원) has 1 (4.5%) missing valuesMissing
전화번호 has 1 (4.5%) missing valuesMissing
시설명 has unique valuesUnique
시설코드 has unique valuesUnique
시설장명 has unique valuesUnique
시설주소 has unique valuesUnique
정원(수용인원) has 7 (31.8%) zerosZeros

Reproduction

Analysis started2024-05-18 03:33:49.274237
Analysis finished2024-05-18 03:33:53.998046
Duration4.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-18T12:33:54.268517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11
Min length9

Characters and Unicode

Total characters242
Distinct characters48
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

Unique22 ?
Unique (%)100.0%

Sample

1st row서울시자살예방센터
2nd row성동구정신건강복지센터
3rd row광진구정신건강증진센터
4th row강북구정신건강증진센터
5th row노원구정신건강증진센터
ValueCountFrequency (%)
서울시자살예방센터 1
 
4.3%
중랑구정신건강복지센터 1
 
4.3%
은평구정신건강복지센터 1
 
4.3%
영등포구정신건강증진센터 1
 
4.3%
종로구정신건강복지센터 1
 
4.3%
성북구정신건강복지센터 1
 
4.3%
구로구정신건강복지센터 1
 
4.3%
용산구정신건강복지센터 1
 
4.3%
서초구정신건강증진센터 1
 
4.3%
정신건강복지센터 1
 
4.3%
Other values (13) 13
56.5%
2024-05-18T12:33:55.169077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
강 23
9.5%
센 22
 
9.1%
터 22
 
9.1%
구 22
 
9.1%
정 21
 
8.7%
신 21
 
8.7%
건 21
 
8.7%
복 12
 
5.0%
지 12
 
5.0%
진 10
 
4.1%
Other values (38) 56
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
99.6%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 23
9.5%
센 22
 
9.1%
터 22
 
9.1%
구 22
 
9.1%
정 21
 
8.7%
신 21
 
8.7%
건 21
 
8.7%
복 12
 
5.0%
지 12
 
5.0%
진 10
 
4.1%
Other values (37) 55
22.8%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 241
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 23
9.5%
센 22
 
9.1%
터 22
 
9.1%
구 22
 
9.1%
정 21
 
8.7%
신 21
 
8.7%
건 21
 
8.7%
복 12
 
5.0%
지 12
 
5.0%
진 10
 
4.1%
Other values (37) 55
22.8%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 241
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
강 23
9.5%
센 22
 
9.1%
터 22
 
9.1%
구 22
 
9.1%
정 21
 
8.7%
신 21
 
8.7%
건 21
 
8.7%
복 12
 
5.0%
지 12
 
5.0%
진 10
 
4.1%
Other values (37) 55
22.8%
ASCII
ValueCountFrequency (%)
1
100.0%

시설코드
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-18T12:33:55.572898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Characters and Unicode

Total characters121
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowF00099
2nd rowF00103
3rd rowF00104
4th rowF00107
5th rowF00109
ValueCountFrequency (%)
f00099 1
 
4.5%
f00103 1
 
4.5%
z5506 1
 
4.5%
z5501 1
 
4.5%
z5496 1
 
4.5%
z5494 1
 
4.5%
z5477 1
 
4.5%
z5462 1
 
4.5%
z5446 1
 
4.5%
f14078 1
 
4.5%
Other values (12) 12
54.5%
2024-05-18T12:33:56.386616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
25.6%
1 16
13.2%
F 14
11.6%
4 12
 
9.9%
5 12
 
9.9%
Z 8
 
6.6%
9 7
 
5.8%
7 6
 
5.0%
8 4
 
3.3%
2 4
 
3.3%
Other values (2) 7
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
81.8%
Uppercase Letter 22
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
31.3%
1 16
16.2%
4 12
 
12.1%
5 12
 
12.1%
9 7
 
7.1%
7 6
 
6.1%
8 4
 
4.0%
2 4
 
4.0%
6 4
 
4.0%
3 3
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
F 14
63.6%
Z 8
36.4%

Most occurring scripts

ValueCountFrequency (%)
Common 99
81.8%
Latin 22
 
18.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
31.3%
1 16
16.2%
4 12
 
12.1%
5 12
 
12.1%
9 7
 
7.1%
7 6
 
6.1%
8 4
 
4.0%
2 4
 
4.0%
6 4
 
4.0%
3 3
 
3.0%
Latin
ValueCountFrequency (%)
F 14
63.6%
Z 8
36.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
25.6%
1 16
13.2%
F 14
11.6%
4 12
 
9.9%
5 12
 
9.9%
Z 8
 
6.6%
9 7
 
5.8%
7 6
 
5.0%
8 4
 
3.3%
2 4
 
3.3%
Other values (2) 7
 
5.8%

시설종류명(시설유형)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
(정신보건) 정신건강증진센터
22 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(정신보건) 정신건강증진센터
2nd row(정신보건) 정신건강증진센터
3rd row(정신보건) 정신건강증진센터
4th row(정신보건) 정신건강증진센터
5th row(정신보건) 정신건강증진센터

Common Values

ValueCountFrequency (%)
(정신보건) 정신건강증진센터 22
100.0%

Length

2024-05-18T12:33:56.612477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:33:56.879276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정신보건 22
50.0%
정신건강증진센터 22
50.0%

시설종류상세명(시설종류)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
정신보건기타
22 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정신보건기타 22
100.0%

Length

2024-05-18T12:33:57.198102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:33:57.434557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정신보건기타 22
100.0%

자치구(시)구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
자치구
22 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자치구 22
100.0%

Length

2024-05-18T12:33:57.609819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:33:57.851489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자치구 22
100.0%

시설장명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-18T12:33:58.129246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9545455
Min length2

Characters and Unicode

Total characters65
Distinct characters47
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

Unique22 ?
Unique (%)100.0%

Sample

1st row
2nd row안동현
3rd row전진용
4th row김원
5th row전성일
ValueCountFrequency (%)
안동현 1
 
4.8%
나은진 1
 
4.8%
김시완 1
 
4.8%
우영섭 1
 
4.8%
서화연 1
 
4.8%
황원숙 1
 
4.8%
문영신 1
 
4.8%
최재원 1
 
4.8%
김경민 1
 
4.8%
이중선 1
 
4.8%
Other values (11) 11
52.4%
2024-05-18T12:33:58.942267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
7.7%
3
 
4.6%
최 3
 
4.6%
원 3
 
4.6%
현 3
 
4.6%
연 3
 
4.6%
전 2
 
3.1%
진 2
 
3.1%
영 2
 
3.1%
우 2
 
3.1%
Other values (37) 37
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
95.4%
Space Separator 3
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
8.1%
최 3
 
4.8%
원 3
 
4.8%
현 3
 
4.8%
연 3
 
4.8%
전 2
 
3.2%
진 2
 
3.2%
영 2
 
3.2%
우 2
 
3.2%
선 1
 
1.6%
Other values (36) 36
58.1%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
95.4%
Common 3
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
8.1%
최 3
 
4.8%
원 3
 
4.8%
현 3
 
4.8%
연 3
 
4.8%
전 2
 
3.2%
진 2
 
3.2%
영 2
 
3.2%
우 2
 
3.2%
선 1
 
1.6%
Other values (36) 36
58.1%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
95.4%
ASCII 3
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
8.1%
최 3
 
4.8%
원 3
 
4.8%
현 3
 
4.8%
연 3
 
4.8%
전 2
 
3.2%
진 2
 
3.2%
영 2
 
3.2%
우 2
 
3.2%
선 1
 
1.6%
Other values (36) 36
58.1%
ASCII
ValueCountFrequency (%)
3
100.0%

시군구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1422273 × 109
Minimum1.111 × 109
Maximum1.171 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-18T12:33:59.297908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111 × 109
5-th percentile1.11415 × 109
Q11.12375 × 109
median1.141 × 109
Q31.16125 × 109
95-th percentile1.17085 × 109
Maximum1.171 × 109
Range60000000
Interquartile range (IQR)37500000

Descriptive statistics

Standard deviation20533786
Coefficient of variation (CV)0.01797697
Kurtosis-1.5262595
Mean1.1422273 × 109
Median Absolute Deviation (MAD)18750000
Skewness0.03309237
Sum2.5129 × 1010
Variance4.2163636 × 1014
MonotonicityNot monotonic
2024-05-18T12:33:59.677461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1168000000 2
 
9.1%
1171000000 2
 
9.1%
1126000000 1
 
4.5%
1144000000 1
 
4.5%
1138000000 1
 
4.5%
1156000000 1
 
4.5%
1111000000 1
 
4.5%
1129000000 1
 
4.5%
1153000000 1
 
4.5%
1117000000 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
1111000000 1
4.5%
1114000000 1
4.5%
1117000000 1
4.5%
1120000000 1
4.5%
1121500000 1
4.5%
1123000000 1
4.5%
1126000000 1
4.5%
1129000000 1
4.5%
1130500000 1
4.5%
1135000000 1
4.5%
ValueCountFrequency (%)
1171000000 2
9.1%
1168000000 2
9.1%
1165000000 1
4.5%
1162000000 1
4.5%
1159000000 1
4.5%
1156000000 1
4.5%
1153000000 1
4.5%
1147000000 1
4.5%
1144000000 1
4.5%
1138000000 1
4.5%

시군구명
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-18T12:34:00.013488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0454545
Min length2

Characters and Unicode

Total characters67
Distinct characters33
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

Unique18 ?
Unique (%)81.8%

Sample

1st row강남구
2nd row성동구
3rd row광진구
4th row강북구
5th row노원구
ValueCountFrequency (%)
강남구 2
 
9.1%
송파구 2
 
9.1%
중랑구 1
 
4.5%
은평구 1
 
4.5%
영등포구 1
 
4.5%
종로구 1
 
4.5%
성북구 1
 
4.5%
구로구 1
 
4.5%
용산구 1
 
4.5%
서초구 1
 
4.5%
Other values (10) 10
45.5%
2024-05-18T12:34:00.843800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 23
34.3%
강 3
 
4.5%
동 3
 
4.5%
포 2
 
3.0%
로 2
 
3.0%
성 2
 
3.0%
남 2
 
3.0%
중 2
 
3.0%
북 2
 
3.0%
송 2
 
3.0%
Other values (23) 24
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 23
34.3%
강 3
 
4.5%
동 3
 
4.5%
포 2
 
3.0%
로 2
 
3.0%
성 2
 
3.0%
남 2
 
3.0%
중 2
 
3.0%
북 2
 
3.0%
송 2
 
3.0%
Other values (23) 24
35.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 23
34.3%
강 3
 
4.5%
동 3
 
4.5%
포 2
 
3.0%
로 2
 
3.0%
성 2
 
3.0%
남 2
 
3.0%
중 2
 
3.0%
북 2
 
3.0%
송 2
 
3.0%
Other values (23) 24
35.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 23
34.3%
강 3
 
4.5%
동 3
 
4.5%
포 2
 
3.0%
로 2
 
3.0%
성 2
 
3.0%
남 2
 
3.0%
중 2
 
3.0%
북 2
 
3.0%
송 2
 
3.0%
Other values (23) 24
35.8%

시설주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-18T12:34:01.275920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length32.136364
Min length21

Characters and Unicode

Total characters707
Distinct characters118
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 봉은사로21길 6하이코빌딩 7층 (논현동)(논현동)
2nd row서울특별시 성동구 행당로 12금호분소 3층 (금호동1가)(금호동1가)
3rd row서울특별시 광진구 긴고랑로 1104층 (중곡동)(중곡동)
4th row서울특별시 강북구 삼양로19길 154 3층(미아동)(미아동)
5th row서울특별시 노원구 노해로 437노원구청 2층 (상계동)(상계동)
ValueCountFrequency (%)
서울특별시 22
 
17.7%
3층 3
 
2.4%
2층 3
 
2.4%
강남구 2
 
1.6%
거여동 2
 
1.6%
양산로 2
 
1.6%
송파구 2
 
1.6%
1층 2
 
1.6%
지하1층 2
 
1.6%
은평구 1
 
0.8%
Other values (83) 83
66.9%
2024-05-18T12:34:02.072799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
 
14.4%
동 34
 
4.8%
) 30
 
4.2%
( 30
 
4.2%
구 28
 
4.0%
서 26
 
3.7%
로 25
 
3.5%
1 24
 
3.4%
별 24
 
3.4%
시 22
 
3.1%
Other values (108) 362
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
64.2%
Space Separator 102
 
14.4%
Decimal Number 88
 
12.4%
Close Punctuation 30
 
4.2%
Open Punctuation 30
 
4.2%
Dash Punctuation 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 34
 
7.5%
구 28
 
6.2%
서 26
 
5.7%
로 25
 
5.5%
별 24
 
5.3%
시 22
 
4.8%
특 22
 
4.8%
울 22
 
4.8%
층 20
 
4.4%
산 9
 
2.0%
Other values (93) 222
48.9%
Decimal Number
ValueCountFrequency (%)
1 24
27.3%
3 19
21.6%
2 10
11.4%
4 8
 
9.1%
5 8
 
9.1%
6 6
 
6.8%
0 5
 
5.7%
9 3
 
3.4%
8 3
 
3.4%
7 2
 
2.3%
Space Separator
ValueCountFrequency (%)
102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454
64.2%
Common 253
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 34
 
7.5%
구 28
 
6.2%
서 26
 
5.7%
로 25
 
5.5%
별 24
 
5.3%
시 22
 
4.8%
특 22
 
4.8%
울 22
 
4.8%
층 20
 
4.4%
산 9
 
2.0%
Other values (93) 222
48.9%
Common
ValueCountFrequency (%)
102
40.3%
) 30
 
11.9%
( 30
 
11.9%
1 24
 
9.5%
3 19
 
7.5%
2 10
 
4.0%
4 8
 
3.2%
5 8
 
3.2%
6 6
 
2.4%
0 5
 
2.0%
Other values (5) 11
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
64.2%
ASCII 253
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
40.3%
) 30
 
11.9%
( 30
 
11.9%
1 24
 
9.5%
3 19
 
7.5%
2 10
 
4.0%
4 8
 
3.2%
5 8
 
3.2%
6 6
 
2.4%
0 5
 
2.0%
Other values (5) 11
 
4.3%
Hangul
ValueCountFrequency (%)
동 34
 
7.5%
구 28
 
6.2%
서 26
 
5.7%
로 25
 
5.5%
별 24
 
5.3%
시 22
 
4.8%
특 22
 
4.8%
울 22
 
4.8%
층 20
 
4.4%
산 9
 
2.0%
Other values (93) 222
48.9%

정원(수용인원)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct15
Distinct (%)71.4%
Missing1
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean377.90476
Minimum0
Maximum1417
Zeros7
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-18T12:34:02.292700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median389
Q3571
95-th percentile820
Maximum1417
Range1417
Interquartile range (IQR)571

Descriptive statistics

Standard deviation371.30673
Coefficient of variation (CV)0.9825405
Kurtosis1.4704342
Mean377.90476
Median Absolute Deviation (MAD)303
Skewness1.0105919
Sum7936
Variance137868.69
MonotonicityNot monotonic
2024-05-18T12:34:02.636775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7
31.8%
86 1
 
4.5%
496 1
 
4.5%
476 1
 
4.5%
665 1
 
4.5%
1417 1
 
4.5%
407 1
 
4.5%
406 1
 
4.5%
808 1
 
4.5%
388 1
 
4.5%
Other values (5) 5
22.7%
ValueCountFrequency (%)
0 7
31.8%
86 1
 
4.5%
370 1
 
4.5%
388 1
 
4.5%
389 1
 
4.5%
406 1
 
4.5%
407 1
 
4.5%
476 1
 
4.5%
496 1
 
4.5%
571 1
 
4.5%
ValueCountFrequency (%)
1417 1
4.5%
820 1
4.5%
808 1
4.5%
665 1
4.5%
637 1
4.5%
571 1
4.5%
496 1
4.5%
476 1
4.5%
407 1
4.5%
406 1
4.5%

현인원
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
17 
0
2 
270
 
1
100
 
1
1500
 
1

Length

Max length4
Median length4
Mean length3.6363636
Min length1

Unique

Unique3 ?
Unique (%)13.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
77.3%
0 2
 
9.1%
270 1
 
4.5%
100 1
 
4.5%
1500 1
 
4.5%

Length

2024-05-18T12:34:02.966436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:34:03.308825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
77.3%
0 2
 
9.1%
270 1
 
4.5%
100 1
 
4.5%
1500 1
 
4.5%

전화번호
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Memory size308.0 B
2024-05-18T12:34:03.681832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.619048
Min length8

Characters and Unicode

Total characters223
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

Unique21 ?
Unique (%)100.0%

Sample

1st row229-810-8000
2nd row450-1895
3rd row985-0222
4th row2116-4591
5th row02-2061-8881
ValueCountFrequency (%)
229-810-8000 1
 
4.8%
02-3422-3804 1
 
4.8%
02-351-8680 1
 
4.8%
02-2670-4793 1
 
4.8%
02-745-0199 1
 
4.8%
02-2241-6133 1
 
4.8%
02-861-2284 1
 
4.8%
02-2199-8340 1
 
4.8%
529-1581 1
 
4.8%
02-402-5871 1
 
4.8%
Other values (11) 11
52.4%
2024-05-18T12:34:04.559985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 42
18.8%
- 36
16.1%
0 31
13.9%
1 22
9.9%
8 18
8.1%
4 16
 
7.2%
9 14
 
6.3%
6 13
 
5.8%
3 12
 
5.4%
5 10
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 187
83.9%
Dash Punctuation 36
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 42
22.5%
0 31
16.6%
1 22
11.8%
8 18
9.6%
4 16
 
8.6%
9 14
 
7.5%
6 13
 
7.0%
3 12
 
6.4%
5 10
 
5.3%
7 9
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 223
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 42
18.8%
- 36
16.1%
0 31
13.9%
1 22
9.9%
8 18
8.1%
4 16
 
7.2%
9 14
 
6.3%
6 13
 
5.8%
3 12
 
5.4%
5 10
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 223
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 42
18.8%
- 36
16.1%
0 31
13.9%
1 22
9.9%
8 18
8.1%
4 16
 
7.2%
9 14
 
6.3%
6 13
 
5.8%
3 12
 
5.4%
5 10
 
4.5%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4978.8636
Minimum1197
Maximum8832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-18T12:34:04.876591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1197
5-th percentile1717.25
Q13136.25
median4824.5
Q36657.25
95-th percentile8280.25
Maximum8832
Range7635
Interquartile range (IQR)3521

Descriptive statistics

Standard deviation2227.8207
Coefficient of variation (CV)0.44745567
Kurtosis-1.0163317
Mean4978.8636
Median Absolute Deviation (MAD)1848
Skewness0.024441531
Sum109535
Variance4963185.3
MonotonicityNot monotonic
2024-05-18T12:34:05.123236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5771 2
 
9.1%
6122 1
 
4.5%
2254 1
 
4.5%
3965 1
 
4.5%
3347 1
 
4.5%
7260 1
 
4.5%
3066 1
 
4.5%
2751 1
 
4.5%
8290 1
 
4.5%
4390 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
1197 1
4.5%
1689 1
4.5%
2254 1
4.5%
2470 1
4.5%
2751 1
4.5%
3066 1
4.5%
3347 1
4.5%
3965 1
4.5%
4390 1
4.5%
4506 1
4.5%
ValueCountFrequency (%)
8832 1
4.5%
8290 1
4.5%
8095 1
4.5%
7260 1
4.5%
7005 1
4.5%
6762 1
4.5%
6343 1
4.5%
6122 1
4.5%
5771 2
9.1%
4922 1
4.5%

Interactions

2024-05-18T12:33:51.812726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:33:50.158529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:33:50.977065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:33:52.087857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:33:50.426169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:33:51.241511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:33:52.362866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:33:50.705284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:33:51.506082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T12:34:05.357978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명시설코드시설장명시군구코드시군구명시설주소정원(수용인원)현인원전화번호우편번호
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시군구코드1.0001.0001.0001.0001.0001.0000.7981.0001.0000.824
시군구명1.0001.0001.0001.0001.0001.0000.8371.0001.0001.000
시설주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
정원(수용인원)1.0001.0001.0000.7980.8371.0001.000NaN1.0000.668
현인원1.0001.0001.0001.0001.0001.000NaN1.0001.0000.261
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
우편번호1.0001.0001.0000.8241.0001.0000.6680.2611.0001.000
2024-05-18T12:34:05.670200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구코드정원(수용인원)우편번호현인원
시군구코드1.0000.1660.5950.816
정원(수용인원)0.1661.0000.1351.000
우편번호0.5950.1351.0000.000
현인원0.8161.0000.0001.000

Missing values

2024-05-18T12:33:52.850444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T12:33:53.423020image/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.
2024-05-18T12:33:53.808393image/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

시설명시설코드시설종류명(시설유형)시설종류상세명(시설종류)자치구(시)구분시설장명시군구코드시군구명시설주소정원(수용인원)현인원전화번호우편번호
0서울시자살예방센터F00099(정신보건) 정신건강증진센터정신보건기타자치구1168000000강남구서울특별시 강남구 봉은사로21길 6하이코빌딩 7층 (논현동)(논현동)86<NA><NA>6122
1성동구정신건강복지센터F00103(정신보건) 정신건강증진센터정신보건기타자치구안동현1120000000성동구서울특별시 성동구 행당로 12금호분소 3층 (금호동1가)(금호동1가)496<NA>229-810-80004727
2광진구정신건강증진센터F00104(정신보건) 정신건강증진센터정신보건기타자치구전진용1121500000광진구서울특별시 광진구 긴고랑로 1104층 (중곡동)(중곡동)476<NA>450-18954922
3강북구정신건강증진센터F00107(정신보건) 정신건강증진센터정신보건기타자치구김원1130500000강북구서울특별시 강북구 삼양로19길 154 3층(미아동)(미아동)665<NA>985-02221197
4노원구정신건강증진센터F00109(정신보건) 정신건강증진센터정신보건기타자치구전성일1135000000노원구서울특별시 노원구 노해로 437노원구청 2층 (상계동)(상계동)1417<NA>2116-45911689
5양천구정신건강복지센터F00113(정신보건) 정신건강증진센터정신보건기타자치구김수인1147000000양천구서울특별시 양천구 목동서로 339지하 1층 (신정동)407<NA>02-2061-88818095
6동작구정신건강복지센터F00118(정신보건) 정신건강증진센터정신보건기타자치구모현희1159000000동작구서울특별시 동작구 사당로 253-3사당분소 2층 (사당동)(사당동)0<NA>02-820-40727005
7관악구정신건강증진센터F00119(정신보건) 정신건강증진센터정신보건기타자치구최연남1162000000관악구서울특별시 관악구 관악로 145관악구청별관 4층 (봉천동)(봉천동)406<NA>879-49118832
8강남구정신건강증진센터F00121(정신보건) 정신건강증진센터정신보건기타자치구심현보1168000000강남구서울특별시 강남구 일원로9길 38형일빌딩 3층 (일원동)(일원동)808<NA>2226-03446343
9송파구정신건강복지센터F00122(정신보건) 정신건강증진센터정신보건기타자치구최하연1171000000송파구서울특별시 송파구 양산로 52층 (거여동)0<NA>02-421-58715771
시설명시설코드시설종류명(시설유형)시설종류상세명(시설종류)자치구(시)구분시설장명시군구코드시군구명시설주소정원(수용인원)현인원전화번호우편번호
12중랑구정신건강복지센터F0481(정신보건) 정신건강증진센터정신보건기타자치구나은진1126000000중랑구서울특별시 중랑구 면목로 238-0면목동, 중랑구민회관 1층0002-3422-38042254
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