Overview

Dataset statistics

Number of variables13
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory113.7 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-20417/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 우편번호High correlation
우편번호 is highly overall correlated with 시군구코드High correlation
시설명 has unique valuesUnique
시설코드 has unique valuesUnique
시설장명 has unique valuesUnique
시군구코드 has unique valuesUnique
시군구명 has unique valuesUnique
시설주소 has unique valuesUnique
전화번호 has unique valuesUnique
우편번호 has unique valuesUnique
현인원 has 6 (26.1%) zerosZeros

Reproduction

Analysis started2024-05-11 09:08:26.773492
Analysis finished2024-05-11 09:08:32.667911
Duration5.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T09:08:33.141151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12
Min length7

Characters and Unicode

Total characters276
Distinct characters43
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

Unique23 ?
Unique (%)100.0%

Sample

1st row양천구다문화가족지원센터
2nd row동대문구다문화가족지원센터
3rd row동작구다문화가족지원센터
4th row성북구다문화가족지원센터
5th row영등포구 다문화가족지원센터
ValueCountFrequency (%)
양천구다문화가족지원센터 1
 
4.2%
동대문구다문화가족지원센터 1
 
4.2%
도봉구가족센터 1
 
4.2%
성동구다문화가족지원센터 1
 
4.2%
강남구다문화가족지원센터 1
 
4.2%
서대문구다문화가족지원센터 1
 
4.2%
종로구다문화가족지원센터 1
 
4.2%
강동구다문화가족지원센터 1
 
4.2%
관악구다문화가족지원센터 1
 
4.2%
금천구다문화가족지원센터 1
 
4.2%
Other values (14) 14
58.3%
2024-05-11T09:08:34.678902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 24
8.7%
문 24
8.7%
터 23
8.3%
가 23
8.3%
족 23
8.3%
원 23
8.3%
센 23
8.3%
다 22
8.0%
화 22
8.0%
지 22
8.0%
Other values (33) 47
17.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 275
99.6%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 24
8.7%
문 24
8.7%
터 23
8.4%
가 23
8.4%
족 23
8.4%
원 23
8.4%
센 23
8.4%
다 22
8.0%
화 22
8.0%
지 22
8.0%
Other values (32) 46
16.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 24
8.7%
문 24
8.7%
터 23
8.4%
가 23
8.4%
족 23
8.4%
원 23
8.4%
센 23
8.4%
다 22
8.0%
화 22
8.0%
지 22
8.0%
Other values (32) 46
16.7%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 24
8.7%
문 24
8.7%
터 23
8.4%
가 23
8.4%
족 23
8.4%
원 23
8.4%
센 23
8.4%
다 22
8.0%
화 22
8.0%
지 22
8.0%
Other values (32) 46
16.7%
ASCII
ValueCountFrequency (%)
1
100.0%

시설코드
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T09:08:35.269817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters115
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowW0003
2nd rowW0934
3rd rowW0935
4th rowW0936
5th rowW0937
ValueCountFrequency (%)
w0003 1
 
4.3%
w2203 1
 
4.3%
w2509 1
 
4.3%
w2508 1
 
4.3%
w2343 1
 
4.3%
w2242 1
 
4.3%
w2234 1
 
4.3%
w2207 1
 
4.3%
w2206 1
 
4.3%
w2205 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T09:08:36.618117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 28
24.3%
W 22
19.1%
0 21
18.3%
3 9
 
7.8%
9 9
 
7.8%
4 6
 
5.2%
1 6
 
5.2%
5 5
 
4.3%
7 4
 
3.5%
6 2
 
1.7%
Other values (2) 3
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 92
80.0%
Uppercase Letter 23
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 28
30.4%
0 21
22.8%
3 9
 
9.8%
9 9
 
9.8%
4 6
 
6.5%
1 6
 
6.5%
5 5
 
5.4%
7 4
 
4.3%
6 2
 
2.2%
8 2
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
W 22
95.7%
Z 1
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Common 92
80.0%
Latin 23
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 28
30.4%
0 21
22.8%
3 9
 
9.8%
9 9
 
9.8%
4 6
 
6.5%
1 6
 
6.5%
5 5
 
5.4%
7 4
 
4.3%
6 2
 
2.2%
8 2
 
2.2%
Latin
ValueCountFrequency (%)
W 22
95.7%
Z 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 28
24.3%
W 22
19.1%
0 21
18.3%
3 9
 
7.8%
9 9
 
7.8%
4 6
 
5.2%
1 6
 
5.2%
5 5
 
4.3%
7 4
 
3.5%
6 2
 
1.7%
Other values (2) 3
 
2.6%

시설종류명(시설유형)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
(다문화가족) 다문화가족지원센터
23 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(다문화가족) 다문화가족지원센터
2nd row(다문화가족) 다문화가족지원센터
3rd row(다문화가족) 다문화가족지원센터
4th row(다문화가족) 다문화가족지원센터
5th row(다문화가족) 다문화가족지원센터

Common Values

ValueCountFrequency (%)
(다문화가족) 다문화가족지원센터 23
100.0%

Length

2024-05-11T09:08:37.263218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:37.680622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다문화가족 23
50.0%
다문화가족지원센터 23
50.0%

시설종류상세명(시설종류)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
다문화가족복지시설
23 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
다문화가족복지시설 23
100.0%

Length

2024-05-11T09:08:38.144070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:38.624781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다문화가족복지시설 23
100.0%

자치구(시)구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
자치구
23 

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 23
100.0%

Length

2024-05-11T09:08:39.041706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:39.449114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자치구 23
100.0%

시설장명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T09:08:40.057601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0434783
Min length3

Characters and Unicode

Total characters70
Distinct characters43
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

Unique23 ?
Unique (%)100.0%

Sample

1st row김성영
2nd row이영순
3rd row김예리
4th row이윤정
5th row강현덕
ValueCountFrequency (%)
김성영 1
 
4.3%
박정숙 1
 
4.3%
강진아 1
 
4.3%
김현영 1
 
4.3%
신민선 1
 
4.3%
강주현 1
 
4.3%
박지선 1
 
4.3%
이광진 1
 
4.3%
진미정 1
 
4.3%
전종미 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T09:08:41.235413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 5
 
7.1%
진 5
 
7.1%
현 4
 
5.7%
강 4
 
5.7%
박 3
 
4.3%
선 3
 
4.3%
김 3
 
4.3%
이 3
 
4.3%
영 3
 
4.3%
주 2
 
2.9%
Other values (33) 35
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
98.6%
Space Separator 1
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 5
 
7.2%
진 5
 
7.2%
현 4
 
5.8%
강 4
 
5.8%
박 3
 
4.3%
선 3
 
4.3%
김 3
 
4.3%
이 3
 
4.3%
영 3
 
4.3%
주 2
 
2.9%
Other values (32) 34
49.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
98.6%
Common 1
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 5
 
7.2%
진 5
 
7.2%
현 4
 
5.8%
강 4
 
5.8%
박 3
 
4.3%
선 3
 
4.3%
김 3
 
4.3%
이 3
 
4.3%
영 3
 
4.3%
주 2
 
2.9%
Other values (32) 34
49.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
98.6%
ASCII 1
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 5
 
7.2%
진 5
 
7.2%
현 4
 
5.8%
강 4
 
5.8%
박 3
 
4.3%
선 3
 
4.3%
김 3
 
4.3%
이 3
 
4.3%
영 3
 
4.3%
주 2
 
2.9%
Other values (32) 34
49.3%
ASCII
ValueCountFrequency (%)
1
100.0%

시군구코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1413261 × 109
Minimum1.111 × 109
Maximum1.174 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T09:08:41.779423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111 × 109
5-th percentile1.1143 × 109
Q11.126 × 109
median1.141 × 109
Q31.15525 × 109
95-th percentile1.1707 × 109
Maximum1.174 × 109
Range63000000
Interquartile range (IQR)29250000

Descriptive statistics

Standard deviation18935662
Coefficient of variation (CV)0.016590931
Kurtosis-1.0979237
Mean1.1413261 × 109
Median Absolute Deviation (MAD)15000000
Skewness0.085482666
Sum2.62505 × 1010
Variance3.5855929 × 1014
MonotonicityNot monotonic
2024-05-11T09:08:42.307074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1147000000 1
 
4.3%
1123000000 1
 
4.3%
1114000000 1
 
4.3%
1132000000 1
 
4.3%
1120000000 1
 
4.3%
1168000000 1
 
4.3%
1141000000 1
 
4.3%
1111000000 1
 
4.3%
1174000000 1
 
4.3%
1162000000 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1111000000 1
4.3%
1114000000 1
4.3%
1117000000 1
4.3%
1120000000 1
4.3%
1121500000 1
4.3%
1123000000 1
4.3%
1129000000 1
4.3%
1130500000 1
4.3%
1132000000 1
4.3%
1135000000 1
4.3%
ValueCountFrequency (%)
1174000000 1
4.3%
1171000000 1
4.3%
1168000000 1
4.3%
1162000000 1
4.3%
1159000000 1
4.3%
1156000000 1
4.3%
1154500000 1
4.3%
1153000000 1
4.3%
1150000000 1
4.3%
1147000000 1
4.3%

시군구명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T09:08:42.888003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0869565
Min length2

Characters and Unicode

Total characters71
Distinct characters34
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

Unique23 ?
Unique (%)100.0%

Sample

1st row양천구
2nd row동대문구
3rd row동작구
4th row성북구
5th row영등포구
ValueCountFrequency (%)
양천구 1
 
4.3%
강서구 1
 
4.3%
도봉구 1
 
4.3%
성동구 1
 
4.3%
강남구 1
 
4.3%
서대문구 1
 
4.3%
종로구 1
 
4.3%
강동구 1
 
4.3%
관악구 1
 
4.3%
금천구 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T09:08:43.912807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 24
33.8%
동 4
 
5.6%
강 4
 
5.6%
대 2
 
2.8%
문 2
 
2.8%
서 2
 
2.8%
성 2
 
2.8%
북 2
 
2.8%
천 2
 
2.8%
포 2
 
2.8%
Other values (24) 25
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 24
33.8%
동 4
 
5.6%
강 4
 
5.6%
대 2
 
2.8%
문 2
 
2.8%
서 2
 
2.8%
성 2
 
2.8%
북 2
 
2.8%
천 2
 
2.8%
포 2
 
2.8%
Other values (24) 25
35.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 24
33.8%
동 4
 
5.6%
강 4
 
5.6%
대 2
 
2.8%
문 2
 
2.8%
서 2
 
2.8%
성 2
 
2.8%
북 2
 
2.8%
천 2
 
2.8%
포 2
 
2.8%
Other values (24) 25
35.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 24
33.8%
동 4
 
5.6%
강 4
 
5.6%
대 2
 
2.8%
문 2
 
2.8%
서 2
 
2.8%
성 2
 
2.8%
북 2
 
2.8%
천 2
 
2.8%
포 2
 
2.8%
Other values (24) 25
35.2%

시설주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T09:08:44.717919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length26.391304
Min length16

Characters and Unicode

Total characters607
Distinct characters108
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

Unique23 ?
Unique (%)100.0%

Sample

1st row서울특별시 양천구 남부순환로88길 5-7 (신정동)
2nd row서울특별시 동대문구 청계천로 521다사랑행복센터 7층 (용두동)
3rd row서울특별시 동작구 동작대로 29길63-26 (사당동)
4th row서울특별시 성북구 안암로 145라이시움 102호 (안암동5가)
5th row서울특별시 영등포구 영등포로84길 24-54층 (신길동)
ValueCountFrequency (%)
서울특별시 23
 
20.7%
3층 2
 
1.8%
녹번동 1
 
0.9%
강동구 1
 
0.9%
신림동 1
 
0.9%
353,4층 1
 
0.9%
신림로3길 1
 
0.9%
관악구 1
 
0.9%
40번지 1
 
0.9%
11길 1
 
0.9%
Other values (78) 78
70.3%
2024-05-11T09:08:46.295541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
 
14.5%
서 25
 
4.1%
시 24
 
4.0%
동 24
 
4.0%
구 24
 
4.0%
별 23
 
3.8%
울 23
 
3.8%
로 23
 
3.8%
특 23
 
3.8%
1 19
 
3.1%
Other values (98) 311
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
60.1%
Decimal Number 107
 
17.6%
Space Separator 88
 
14.5%
Open Punctuation 17
 
2.8%
Close Punctuation 17
 
2.8%
Dash Punctuation 9
 
1.5%
Other Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 25
 
6.8%
시 24
 
6.6%
동 24
 
6.6%
구 24
 
6.6%
별 23
 
6.3%
울 23
 
6.3%
로 23
 
6.3%
특 23
 
6.3%
길 14
 
3.8%
층 11
 
3.0%
Other values (82) 151
41.4%
Decimal Number
ValueCountFrequency (%)
1 19
17.8%
2 19
17.8%
4 14
13.1%
3 12
11.2%
5 12
11.2%
7 7
 
6.5%
9 7
 
6.5%
0 6
 
5.6%
6 6
 
5.6%
8 5
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
60.1%
Common 242
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 25
 
6.8%
시 24
 
6.6%
동 24
 
6.6%
구 24
 
6.6%
별 23
 
6.3%
울 23
 
6.3%
로 23
 
6.3%
특 23
 
6.3%
길 14
 
3.8%
층 11
 
3.0%
Other values (82) 151
41.4%
Common
ValueCountFrequency (%)
88
36.4%
1 19
 
7.9%
2 19
 
7.9%
( 17
 
7.0%
) 17
 
7.0%
4 14
 
5.8%
3 12
 
5.0%
5 12
 
5.0%
- 9
 
3.7%
7 7
 
2.9%
Other values (6) 28
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
60.1%
ASCII 242
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
36.4%
1 19
 
7.9%
2 19
 
7.9%
( 17
 
7.0%
) 17
 
7.0%
4 14
 
5.8%
3 12
 
5.0%
5 12
 
5.0%
- 9
 
3.7%
7 7
 
2.9%
Other values (6) 28
 
11.6%
Hangul
ValueCountFrequency (%)
서 25
 
6.8%
시 24
 
6.6%
동 24
 
6.6%
구 24
 
6.6%
별 23
 
6.3%
울 23
 
6.3%
로 23
 
6.3%
특 23
 
6.3%
길 14
 
3.8%
층 11
 
3.0%
Other values (82) 151
41.4%

정원(수용인원)
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
17 
<NA>
3 
50
 
1
200
 
1
4500
 
1

Length

Max length4
Median length1
Mean length1.6521739
Min length1

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 17
73.9%
<NA> 3
 
13.0%
50 1
 
4.3%
200 1
 
4.3%
4500 1
 
4.3%

Length

2024-05-11T09:08:47.003661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:47.394479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
73.9%
na 3
 
13.0%
50 1
 
4.3%
200 1
 
4.3%
4500 1
 
4.3%

현인원
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2659.6522
Minimum0
Maximum18800
Zeros6
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T09:08:47.801600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median170
Q32525.5
95-th percentile12118.8
Maximum18800
Range18800
Interquartile range (IQR)2510.5

Descriptive statistics

Standard deviation4832.7551
Coefficient of variation (CV)1.8170628
Kurtosis5.2973032
Mean2659.6522
Median Absolute Deviation (MAD)170
Skewness2.3313308
Sum61172
Variance23355522
MonotonicityNot monotonic
2024-05-11T09:08:48.298148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 6
26.1%
100 3
13.0%
1000 1
 
4.3%
30 1
 
4.3%
8580 1
 
4.3%
1556 1
 
4.3%
80 1
 
4.3%
2674 1
 
4.3%
8000 1
 
4.3%
18800 1
 
4.3%
Other values (6) 6
26.1%
ValueCountFrequency (%)
0 6
26.1%
30 1
 
4.3%
80 1
 
4.3%
100 3
13.0%
170 1
 
4.3%
200 1
 
4.3%
1000 1
 
4.3%
1556 1
 
4.3%
1893 1
 
4.3%
2377 1
 
4.3%
ValueCountFrequency (%)
18800 1
4.3%
12512 1
4.3%
8580 1
4.3%
8000 1
4.3%
3000 1
4.3%
2674 1
4.3%
2377 1
4.3%
1893 1
4.3%
1556 1
4.3%
1000 1
4.3%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T09:08:49.032960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.304348
Min length11

Characters and Unicode

Total characters260
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

Unique23 ?
Unique (%)100.0%

Sample

1st row02-2699-6900
2nd row02-957-1073
3rd row02-599-3260
4th row02-3290-1660
5th row02-846-5432
ValueCountFrequency (%)
02-2699-6900 1
 
4.3%
02-2606-2037 1
 
4.3%
02-995-6800 1
 
4.3%
02-3395-9445 1
 
4.3%
02-3414-3346 1
 
4.3%
02-375-7530 1
 
4.3%
02-764-3521 1
 
4.3%
02-473-4986 1
 
4.3%
02-883-9383 1
 
4.3%
02-803-7747 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T09:08:50.208951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
17.7%
0 40
15.4%
2 36
13.8%
3 27
10.4%
6 19
7.3%
9 19
7.3%
7 19
7.3%
4 19
7.3%
5 14
 
5.4%
8 13
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 214
82.3%
Dash Punctuation 46
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
18.7%
2 36
16.8%
3 27
12.6%
6 19
8.9%
9 19
8.9%
7 19
8.9%
4 19
8.9%
5 14
 
6.5%
8 13
 
6.1%
1 8
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 260
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
17.7%
0 40
15.4%
2 36
13.8%
3 27
10.4%
6 19
7.3%
9 19
7.3%
7 19
7.3%
4 19
7.3%
5 14
 
5.4%
8 13
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
17.7%
0 40
15.4%
2 36
13.8%
3 27
10.4%
6 19
7.3%
9 19
7.3%
7 19
7.3%
4 19
7.3%
5 14
 
5.4%
8 13
 
5.0%

우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16293.739
Minimum1064
Maximum134830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T09:08:50.803974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1064
5-th percentile1470
Q13243
median5072
Q37872
95-th percentile121375.4
Maximum134830
Range133766
Interquartile range (IQR)4629

Descriptive statistics

Standard deviation37330.395
Coefficient of variation (CV)2.2910883
Kurtosis8.5104771
Mean16293.739
Median Absolute Deviation (MAD)2284
Skewness3.1171487
Sum374756
Variance1.3935584 × 109
MonotonicityNot monotonic
2024-05-11T09:08:51.484013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8054 1
 
4.3%
2589 1
 
4.3%
4579 1
 
4.3%
1427 1
 
4.3%
133881 1
 
4.3%
6336 1
 
4.3%
3677 1
 
4.3%
3105 1
 
4.3%
134830 1
 
4.3%
8825 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1064 1
4.3%
1427 1
4.3%
1857 1
4.3%
2589 1
4.3%
2841 1
4.3%
3105 1
4.3%
3381 1
4.3%
3677 1
4.3%
4027 1
4.3%
4400 1
4.3%
ValueCountFrequency (%)
134830 1
4.3%
133881 1
4.3%
8825 1
4.3%
8627 1
4.3%
8383 1
4.3%
8054 1
4.3%
7690 1
4.3%
7356 1
4.3%
6999 1
4.3%
6336 1
4.3%

Interactions

2024-05-11T09:08:30.318195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:27.946830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:29.178261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:30.611900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:28.382833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:29.575840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:30.889143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:28.774524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:29.973288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T09:08:51.867458image/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
시군구코드1.0001.0001.0001.0001.0001.0000.0000.0001.0000.000
시군구명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
정원(수용인원)1.0001.0001.0000.0001.0001.0001.0000.8371.0000.000
현인원1.0001.0001.0000.0001.0001.0000.8371.0001.0000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
우편번호1.0001.0001.0000.0001.0001.0000.0000.0001.0001.000
2024-05-11T09:08:52.393282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구코드현인원우편번호정원(수용인원)
시군구코드1.0000.2530.5450.000
현인원0.2531.0000.0630.479
우편번호0.5450.0631.0000.000
정원(수용인원)0.0000.4790.0001.000

Missing values

2024-05-11T09:08:31.475737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T09:08:32.314926image/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

시설명시설코드시설종류명(시설유형)시설종류상세명(시설종류)자치구(시)구분시설장명시군구코드시군구명시설주소정원(수용인원)현인원전화번호우편번호
0양천구다문화가족지원센터W0003(다문화가족) 다문화가족지원센터다문화가족복지시설자치구김성영1147000000양천구서울특별시 양천구 남부순환로88길 5-7 (신정동)010002-2699-69008054
1동대문구다문화가족지원센터W0934(다문화가족) 다문화가족지원센터다문화가족복지시설자치구이영순1123000000동대문구서울특별시 동대문구 청계천로 521다사랑행복센터 7층 (용두동)0002-957-10732589
2동작구다문화가족지원센터W0935(다문화가족) 다문화가족지원센터다문화가족복지시설자치구김예리1159000000동작구서울특별시 동작구 동작대로 29길63-26 (사당동)0002-599-32606999
3성북구다문화가족지원센터W0936(다문화가족) 다문화가족지원센터다문화가족복지시설자치구이윤정1129000000성북구서울특별시 성북구 안암로 145라이시움 102호 (안암동5가)010002-3290-16602841
4영등포구 다문화가족지원센터W0937(다문화가족) 다문화가족지원센터다문화가족복지시설자치구강현덕1156000000영등포구서울특별시 영등포구 영등포로84길 24-54층 (신길동)<NA>1251202-846-54327356
5용산구다문화가족지원센터W1014(다문화가족) 다문화가족지원센터다문화가족복지시설자치구한선규1117000000용산구서울특별시 용산구 이태원로 224-19 3층 (한남동,복합문화센터)5010002-797-91844400
6송파구다문화가족지원센터W1092(다문화가족) 다문화가족지원센터다문화가족복지시설자치구박연진1171000000송파구서울특별시 송파구 마천동 127-1(마천동)0002-403-38445756
7광진구다문화가족지원센터W2198(다문화가족) 다문화가족지원센터다문화가족복지시설자치구현경수1121500000광진구서울특별시 광진구 아차산로24길 175층 (자양동)0189302-458-06665072
8강북구다문화가족지원센터W2199(다문화가족) 다문화가족지원센터다문화가족복지시설자치구송은일1130500000강북구서울특별시 강북구 한천로129길 6 (번동)0237702-987-25671064
9노원구다문화가족지원센터W2200(다문화가족) 다문화가족지원센터다문화가족복지시설자치구장사열1135000000노원구서울특별시 노원구 동일로173가길 94가온빌딩 3층20020002-979-35021857
시설명시설코드시설종류명(시설유형)시설종류상세명(시설종류)자치구(시)구분시설장명시군구코드시군구명시설주소정원(수용인원)현인원전화번호우편번호
13구로구다문화가족지원센터W2204(다문화가족) 다문화가족지원센터다문화가족복지시설자치구정종운1153000000구로구서울특별시 구로구 우마2길 352,3층 (가리봉동)45001880002-869-03178383
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