Overview

Dataset statistics

Number of variables25
Number of observations25
Missing cells25
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory220.3 B

Variable types

Text7
Numeric14
DateTime1
Categorical2
Unsupported1

Dataset

Description경기도_노인일자리지원기관 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=9BFCGSTR6VUBWR1D5PQ927756264&infSeq=1

Alerts

설치주체-지자체 has constant value ""Constant
설치주체-민간 has 25 (100.0%) missing valuesMissing
시설명 has unique valuesUnique
도로명 주소 has unique valuesUnique
지번 주소 has unique valuesUnique
우편번호 has unique valuesUnique
전화번호 has unique valuesUnique
FAX번호 has unique valuesUnique
시설면적-계(㎡) has unique valuesUnique
운영주체-법인(단체)명 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique
설치주체-민간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
상담실면적(㎡) has 11 (44.0%) zerosZeros
교육실면적(㎡) has 6 (24.0%) zerosZeros
사업장면적(㎡) has 5 (20.0%) zerosZeros
종사자현원-비정규직 has 10 (40.0%) zerosZeros

Reproduction

Analysis started2023-12-10 21:37:51.529352
Analysis finished2023-12-10 21:37:51.909831
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T06:37:52.060381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.08
Min length3

Characters and Unicode

Total characters77
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

Unique23 ?
Unique (%)92.0%

Sample

1st row고양시
2nd row광명시
3rd row구리시
4th row군포시
5th row김포시
ValueCountFrequency (%)
성남시 2
 
8.0%
고양시 1
 
4.0%
양주시 1
 
4.0%
하남시 1
 
4.0%
평택시 1
 
4.0%
파주시 1
 
4.0%
이천시 1
 
4.0%
의정부시 1
 
4.0%
의왕시 1
 
4.0%
용인시 1
 
4.0%
Other values (14) 14
56.0%
2023-12-11T06:37:52.467514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 26
33.8%
성 4
 
5.2%
주 4
 
5.2%
남 4
 
5.2%
양 4
 
5.2%
안 3
 
3.9%
포 2
 
2.6%
부 2
 
2.6%
천 2
 
2.6%
산 2
 
2.6%
Other values (23) 24
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 26
33.8%
성 4
 
5.2%
주 4
 
5.2%
남 4
 
5.2%
양 4
 
5.2%
안 3
 
3.9%
포 2
 
2.6%
부 2
 
2.6%
천 2
 
2.6%
산 2
 
2.6%
Other values (23) 24
31.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 26
33.8%
성 4
 
5.2%
주 4
 
5.2%
남 4
 
5.2%
양 4
 
5.2%
안 3
 
3.9%
포 2
 
2.6%
부 2
 
2.6%
천 2
 
2.6%
산 2
 
2.6%
Other values (23) 24
31.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 26
33.8%
성 4
 
5.2%
주 4
 
5.2%
남 4
 
5.2%
양 4
 
5.2%
안 3
 
3.9%
포 2
 
2.6%
부 2
 
2.6%
천 2
 
2.6%
산 2
 
2.6%
Other values (23) 24
31.2%

시설명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T06:37:52.979421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.16
Min length7

Characters and Unicode

Total characters179
Distinct characters41
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

Unique25 ?
Unique (%)100.0%

Sample

1st row고양시니어클럽
2nd row광명시니어클럽
3rd row구리시니어클럽
4th row군포시니어클럽
5th row김포시니어클럽
ValueCountFrequency (%)
고양시니어클럽 1
 
4.0%
안양시니어클럽 1
 
4.0%
하남시니어클럽 1
 
4.0%
평택시니어클럽 1
 
4.0%
파주시니어클럽 1
 
4.0%
이천시니어클럽 1
 
4.0%
의정부시니어클럽 1
 
4.0%
의왕시니어클럽 1
 
4.0%
용인시니어클럽 1
 
4.0%
오산시니어클럽 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T06:37:53.305678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 26
14.5%
니 25
14.0%
어 25
14.0%
클 25
14.0%
럽 25
14.0%
주 4
 
2.2%
양 4
 
2.2%
성 3
 
1.7%
안 3
 
1.7%
남 3
 
1.7%
Other values (31) 36
20.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 26
14.5%
니 25
14.0%
어 25
14.0%
클 25
14.0%
럽 25
14.0%
주 4
 
2.2%
양 4
 
2.2%
성 3
 
1.7%
안 3
 
1.7%
남 3
 
1.7%
Other values (31) 36
20.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 26
14.5%
니 25
14.0%
어 25
14.0%
클 25
14.0%
럽 25
14.0%
주 4
 
2.2%
양 4
 
2.2%
성 3
 
1.7%
안 3
 
1.7%
남 3
 
1.7%
Other values (31) 36
20.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 26
14.5%
니 25
14.0%
어 25
14.0%
클 25
14.0%
럽 25
14.0%
주 4
 
2.2%
양 4
 
2.2%
성 3
 
1.7%
안 3
 
1.7%
남 3
 
1.7%
Other values (31) 36
20.1%

도로명 주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T06:37:53.582157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length19.52
Min length15

Characters and Unicode

Total characters488
Distinct characters94
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row경기도 고양시 일산동구 무궁화로 106
2nd row경기도 광명시 연서일로 4-3
3rd row경기도 구리시 동구릉로 217-14
4th row경기도 군포시 금당로69번길 29
5th row경기도 김포시 사우중로74번길 48
ValueCountFrequency (%)
경기도 25
 
22.9%
성남시 2
 
1.8%
28 2
 
1.8%
128 1
 
0.9%
중부대로1424번길 1
 
0.9%
처인구 1
 
0.9%
용인시 1
 
0.9%
13 1
 
0.9%
경기대로636번길 1
 
0.9%
오산시 1
 
0.9%
Other values (73) 73
67.0%
2023-12-11T06:37:53.990668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
 
17.2%
경 26
 
5.3%
시 26
 
5.3%
기 26
 
5.3%
도 25
 
5.1%
로 23
 
4.7%
1 18
 
3.7%
4 14
 
2.9%
2 14
 
2.9%
길 14
 
2.9%
Other values (84) 218
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
60.5%
Decimal Number 102
 
20.9%
Space Separator 84
 
17.2%
Dash Punctuation 7
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 26
 
8.8%
시 26
 
8.8%
기 26
 
8.8%
도 25
 
8.5%
로 23
 
7.8%
길 14
 
4.7%
번 12
 
4.1%
구 9
 
3.1%
성 6
 
2.0%
안 6
 
2.0%
Other values (72) 122
41.4%
Decimal Number
ValueCountFrequency (%)
1 18
17.6%
4 14
13.7%
2 14
13.7%
8 12
11.8%
3 11
10.8%
6 10
9.8%
5 7
 
6.9%
0 7
 
6.9%
7 5
 
4.9%
9 4
 
3.9%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
60.5%
Common 193
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 26
 
8.8%
시 26
 
8.8%
기 26
 
8.8%
도 25
 
8.5%
로 23
 
7.8%
길 14
 
4.7%
번 12
 
4.1%
구 9
 
3.1%
성 6
 
2.0%
안 6
 
2.0%
Other values (72) 122
41.4%
Common
ValueCountFrequency (%)
84
43.5%
1 18
 
9.3%
4 14
 
7.3%
2 14
 
7.3%
8 12
 
6.2%
3 11
 
5.7%
6 10
 
5.2%
5 7
 
3.6%
- 7
 
3.6%
0 7
 
3.6%
Other values (2) 9
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
60.5%
ASCII 193
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
43.5%
1 18
 
9.3%
4 14
 
7.3%
2 14
 
7.3%
8 12
 
6.2%
3 11
 
5.7%
6 10
 
5.2%
5 7
 
3.6%
- 7
 
3.6%
0 7
 
3.6%
Other values (2) 9
 
4.7%
Hangul
ValueCountFrequency (%)
경 26
 
8.8%
시 26
 
8.8%
기 26
 
8.8%
도 25
 
8.5%
로 23
 
7.8%
길 14
 
4.7%
번 12
 
4.1%
구 9
 
3.1%
성 6
 
2.0%
안 6
 
2.0%
Other values (72) 122
41.4%

지번 주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T06:37:54.305974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.6
Min length17

Characters and Unicode

Total characters515
Distinct characters95
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row경기도 고양시 일산동구 정발산동 816번지
2nd row경기도 광명시 철산동 158번지 4층
3rd row경기도 구리시 인창동 56-36번지
4th row경기도 군포시 당동 948-5번지
5th row경기도 김포시 사우동 865번지
ValueCountFrequency (%)
경기도 25
 
22.1%
4층 3
 
2.7%
성남시 2
 
1.8%
224번지 1
 
0.9%
김량장동 1
 
0.9%
처인구 1
 
0.9%
용인시 1
 
0.9%
496-2번지 1
 
0.9%
내삼미동 1
 
0.9%
오산시 1
 
0.9%
Other values (76) 76
67.3%
2023-12-11T06:37:54.826331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
17.1%
동 26
 
5.0%
지 26
 
5.0%
시 26
 
5.0%
경 25
 
4.9%
도 25
 
4.9%
번 25
 
4.9%
기 25
 
4.9%
- 16
 
3.1%
2 15
 
2.9%
Other values (85) 218
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 311
60.4%
Decimal Number 100
 
19.4%
Space Separator 88
 
17.1%
Dash Punctuation 16
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
 
8.4%
지 26
 
8.4%
시 26
 
8.4%
경 25
 
8.0%
도 25
 
8.0%
번 25
 
8.0%
기 25
 
8.0%
구 9
 
2.9%
산 6
 
1.9%
성 5
 
1.6%
Other values (73) 113
36.3%
Decimal Number
ValueCountFrequency (%)
2 15
15.0%
1 14
14.0%
6 14
14.0%
4 12
12.0%
5 11
11.0%
8 8
8.0%
0 7
7.0%
9 7
7.0%
7 6
 
6.0%
3 6
 
6.0%
Space Separator
ValueCountFrequency (%)
88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 311
60.4%
Common 204
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
 
8.4%
지 26
 
8.4%
시 26
 
8.4%
경 25
 
8.0%
도 25
 
8.0%
번 25
 
8.0%
기 25
 
8.0%
구 9
 
2.9%
산 6
 
1.9%
성 5
 
1.6%
Other values (73) 113
36.3%
Common
ValueCountFrequency (%)
88
43.1%
- 16
 
7.8%
2 15
 
7.4%
1 14
 
6.9%
6 14
 
6.9%
4 12
 
5.9%
5 11
 
5.4%
8 8
 
3.9%
0 7
 
3.4%
9 7
 
3.4%
Other values (2) 12
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 311
60.4%
ASCII 204
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
43.1%
- 16
 
7.8%
2 15
 
7.4%
1 14
 
6.9%
6 14
 
6.9%
4 12
 
5.9%
5 11
 
5.4%
8 8
 
3.9%
0 7
 
3.4%
9 7
 
3.4%
Other values (2) 12
 
5.9%
Hangul
ValueCountFrequency (%)
동 26
 
8.4%
지 26
 
8.4%
시 26
 
8.4%
경 25
 
8.0%
도 25
 
8.0%
번 25
 
8.0%
기 25
 
8.0%
구 9
 
2.9%
산 6
 
1.9%
성 5
 
1.6%
Other values (73) 113
36.3%

우편번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14367.24
Minimum10111
Maximum18316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:54.994148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10111
5-th percentile10510
Q112129
median14214
Q316435
95-th percentile18096.4
Maximum18316
Range8205
Interquartile range (IQR)4306

Descriptive statistics

Standard deviation2576.828
Coefficient of variation (CV)0.17935442
Kurtosis-1.2278051
Mean14367.24
Median Absolute Deviation (MAD)2221
Skewness0.0081831904
Sum359181
Variance6640042.6
MonotonicityNot monotonic
2023-12-11T06:37:55.104919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10405 1
 
4.0%
14214 1
 
4.0%
18316 1
 
4.0%
12969 1
 
4.0%
18034 1
 
4.0%
10930 1
 
4.0%
17365 1
 
4.0%
11740 1
 
4.0%
16013 1
 
4.0%
17062 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
10111 1
4.0%
10405 1
4.0%
10930 1
4.0%
11486 1
4.0%
11740 1
4.0%
11910 1
4.0%
12129 1
4.0%
12638 1
4.0%
12969 1
4.0%
13130 1
4.0%
ValueCountFrequency (%)
18316 1
4.0%
18112 1
4.0%
18034 1
4.0%
17592 1
4.0%
17365 1
4.0%
17062 1
4.0%
16435 1
4.0%
16013 1
4.0%
15858 1
4.0%
15385 1
4.0%

전화번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T06:37:55.286273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.08
Min length12

Characters and Unicode

Total characters302
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 row031-904-2611
2nd row02-2689-9842
3rd row031-567-0432
4th row031-454-2077
5th row031-986-1425
ValueCountFrequency (%)
031-904-2611 1
 
4.0%
031-455-0558 1
 
4.0%
031-793-1014 1
 
4.0%
031-656-3472 1
 
4.0%
031-947-5522 1
 
4.0%
031-633-2034 1
 
4.0%
031-826-0760 1
 
4.0%
031-426-7988 1
 
4.0%
070-7101-8254 1
 
4.0%
031-372-6090 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T06:37:55.587831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.6%
0 48
15.9%
3 39
12.9%
1 38
12.6%
2 22
7.3%
8 21
7.0%
5 20
 
6.6%
4 19
 
6.3%
7 18
 
6.0%
6 16
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
83.4%
Dash Punctuation 50
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
19.0%
3 39
15.5%
1 38
15.1%
2 22
8.7%
8 21
8.3%
5 20
7.9%
4 19
 
7.5%
7 18
 
7.1%
6 16
 
6.3%
9 11
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.6%
0 48
15.9%
3 39
12.9%
1 38
12.6%
2 22
7.3%
8 21
7.0%
5 20
 
6.6%
4 19
 
6.3%
7 18
 
6.0%
6 16
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.6%
0 48
15.9%
3 39
12.9%
1 38
12.6%
2 22
7.3%
8 21
7.0%
5 20
 
6.6%
4 19
 
6.3%
7 18
 
6.0%
6 16
 
5.3%

FAX번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T06:37:55.786255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.08
Min length12

Characters and Unicode

Total characters302
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 row031-904-2614
2nd row02-2689-9948
3rd row031-567-0440
4th row031-454-2079
5th row031-986-1426
ValueCountFrequency (%)
031-904-2614 1
 
4.0%
031-455-0558 1
 
4.0%
031-793-1015 1
 
4.0%
070-4903-3472 1
 
4.0%
031-947-6522 1
 
4.0%
031-633-2035 1
 
4.0%
031-826-0762 1
 
4.0%
031-426-7981 1
 
4.0%
031-321-7697 1
 
4.0%
031-372-6096 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T06:37:56.090171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.6%
0 43
14.2%
3 41
13.6%
1 37
12.3%
2 22
7.3%
4 21
7.0%
5 19
 
6.3%
7 19
 
6.3%
9 18
 
6.0%
6 17
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
83.4%
Dash Punctuation 50
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
17.1%
3 41
16.3%
1 37
14.7%
2 22
8.7%
4 21
8.3%
5 19
7.5%
7 19
7.5%
9 18
7.1%
6 17
 
6.7%
8 15
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.6%
0 43
14.2%
3 41
13.6%
1 37
12.3%
2 22
7.3%
4 21
7.0%
5 19
 
6.3%
7 19
 
6.3%
9 18
 
6.0%
6 17
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.6%
0 43
14.2%
3 41
13.6%
1 37
12.3%
2 22
7.3%
4 21
7.0%
5 19
 
6.3%
7 19
 
6.3%
9 18
 
6.0%
6 17
 
5.6%

시설면적-계(㎡)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1544.12
Minimum101
Maximum28032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:56.222328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile114
Q1183
median317
Q3667
95-th percentile1238.2
Maximum28032
Range27931
Interquartile range (IQR)484

Descriptive statistics

Standard deviation5528.1214
Coefficient of variation (CV)3.5801113
Kurtosis24.799683
Mean1544.12
Median Absolute Deviation (MAD)147
Skewness4.9713575
Sum38603
Variance30560126
MonotonicityNot monotonic
2023-12-11T06:37:56.323779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
667 1
 
4.0%
107 1
 
4.0%
173 1
 
4.0%
230 1
 
4.0%
251 1
 
4.0%
183 1
 
4.0%
913 1
 
4.0%
195 1
 
4.0%
172 1
 
4.0%
250 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
101 1
4.0%
107 1
4.0%
142 1
4.0%
157 1
4.0%
172 1
4.0%
173 1
4.0%
183 1
4.0%
195 1
4.0%
230 1
4.0%
250 1
4.0%
ValueCountFrequency (%)
28032 1
4.0%
1272 1
4.0%
1103 1
4.0%
940 1
4.0%
913 1
4.0%
762 1
4.0%
667 1
4.0%
578 1
4.0%
464 1
4.0%
455 1
4.0%

사무실면적(㎡)
Real number (ℝ)

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.2
Minimum33
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:56.421983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile38.4
Q165
median97
Q3146
95-th percentile221.6
Maximum360
Range327
Interquartile range (IQR)81

Descriptive statistics

Standard deviation74.492729
Coefficient of variation (CV)0.65806298
Kurtosis3.7939533
Mean113.2
Median Absolute Deviation (MAD)45
Skewness1.6698379
Sum2830
Variance5549.1667
MonotonicityNot monotonic
2023-12-11T06:37:56.514092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
101 2
 
8.0%
40 2
 
8.0%
78 1
 
4.0%
142 1
 
4.0%
68 1
 
4.0%
72 1
 
4.0%
84 1
 
4.0%
97 1
 
4.0%
188 1
 
4.0%
38 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
33 1
4.0%
38 1
4.0%
40 2
8.0%
49 1
4.0%
54 1
4.0%
65 1
4.0%
68 1
4.0%
72 1
4.0%
78 1
4.0%
84 1
4.0%
ValueCountFrequency (%)
360 1
4.0%
230 1
4.0%
188 1
4.0%
176 1
4.0%
175 1
4.0%
173 1
4.0%
146 1
4.0%
142 1
4.0%
122 1
4.0%
108 1
4.0%

상담실면적(㎡)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.88
Minimum0
Maximum157
Zeros11
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:56.639616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q320
95-th percentile34.4
Maximum157
Range157
Interquartile range (IQR)20

Descriptive statistics

Standard deviation31.52951
Coefficient of variation (CV)1.9854855
Kurtosis18.11612
Mean15.88
Median Absolute Deviation (MAD)6
Skewness4.0115243
Sum397
Variance994.11
MonotonicityNot monotonic
2023-12-11T06:37:56.785260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 11
44.0%
23 1
 
4.0%
20 1
 
4.0%
13 1
 
4.0%
19 1
 
4.0%
36 1
 
4.0%
6 1
 
4.0%
5 1
 
4.0%
157 1
 
4.0%
8 1
 
4.0%
Other values (5) 5
20.0%
ValueCountFrequency (%)
0 11
44.0%
5 1
 
4.0%
6 1
 
4.0%
8 1
 
4.0%
11 1
 
4.0%
13 1
 
4.0%
18 1
 
4.0%
19 1
 
4.0%
20 1
 
4.0%
23 1
 
4.0%
ValueCountFrequency (%)
157 1
4.0%
36 1
4.0%
28 1
4.0%
27 1
4.0%
26 1
4.0%
23 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
13 1
4.0%

교육실면적(㎡)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.64
Minimum0
Maximum278
Zeros6
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:56.891604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median42
Q3132
95-th percentile226.2
Maximum278
Range278
Interquartile range (IQR)119

Descriptive statistics

Standard deviation81.741401
Coefficient of variation (CV)1.039438
Kurtosis-0.015210407
Mean78.64
Median Absolute Deviation (MAD)42
Skewness0.95942247
Sum1966
Variance6681.6567
MonotonicityNot monotonic
2023-12-11T06:37:57.026764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 6
24.0%
33 2
 
8.0%
278 1
 
4.0%
20 1
 
4.0%
105 1
 
4.0%
62 1
 
4.0%
42 1
 
4.0%
86 1
 
4.0%
163 1
 
4.0%
26 1
 
4.0%
Other values (9) 9
36.0%
ValueCountFrequency (%)
0 6
24.0%
13 1
 
4.0%
20 1
 
4.0%
26 1
 
4.0%
28 1
 
4.0%
33 2
 
8.0%
42 1
 
4.0%
62 1
 
4.0%
86 1
 
4.0%
88 1
 
4.0%
ValueCountFrequency (%)
278 1
4.0%
238 1
4.0%
179 1
4.0%
176 1
4.0%
172 1
4.0%
163 1
4.0%
132 1
4.0%
105 1
4.0%
92 1
4.0%
88 1
4.0%

사업장면적(㎡)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234
Minimum0
Maximum970
Zeros5
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:57.156110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q171
median153
Q3303
95-th percentile831.4
Maximum970
Range970
Interquartile range (IQR)232

Descriptive statistics

Standard deviation265.50408
Coefficient of variation (CV)1.1346328
Kurtosis2.2627923
Mean234
Median Absolute Deviation (MAD)135
Skewness1.6497023
Sum5850
Variance70492.417
MonotonicityNot monotonic
2023-12-11T06:37:57.282491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 5
20.0%
288 1
 
4.0%
69 1
 
4.0%
98 1
 
4.0%
562 1
 
4.0%
103 1
 
4.0%
95 1
 
4.0%
173 1
 
4.0%
179 1
 
4.0%
303 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
0 5
20.0%
69 1
 
4.0%
71 1
 
4.0%
82 1
 
4.0%
95 1
 
4.0%
98 1
 
4.0%
101 1
 
4.0%
103 1
 
4.0%
153 1
 
4.0%
164 1
 
4.0%
ValueCountFrequency (%)
970 1
4.0%
891 1
4.0%
593 1
4.0%
562 1
4.0%
399 1
4.0%
307 1
4.0%
303 1
4.0%
288 1
4.0%
249 1
4.0%
179 1
4.0%

종사자정원
Real number (ℝ)

Distinct12
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8
Minimum5
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:57.389386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q17
median9
Q311
95-th percentile16.8
Maximum20
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.7527767
Coefficient of variation (CV)0.3829364
Kurtosis1.1267035
Mean9.8
Median Absolute Deviation (MAD)2
Skewness1.1825563
Sum245
Variance14.083333
MonotonicityNot monotonic
2023-12-11T06:37:57.501426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9 5
20.0%
7 5
20.0%
6 3
12.0%
11 3
12.0%
12 2
 
8.0%
8 1
 
4.0%
14 1
 
4.0%
16 1
 
4.0%
20 1
 
4.0%
17 1
 
4.0%
Other values (2) 2
 
8.0%
ValueCountFrequency (%)
5 1
 
4.0%
6 3
12.0%
7 5
20.0%
8 1
 
4.0%
9 5
20.0%
10 1
 
4.0%
11 3
12.0%
12 2
 
8.0%
14 1
 
4.0%
16 1
 
4.0%
ValueCountFrequency (%)
20 1
 
4.0%
17 1
 
4.0%
16 1
 
4.0%
14 1
 
4.0%
12 2
 
8.0%
11 3
12.0%
10 1
 
4.0%
9 5
20.0%
8 1
 
4.0%
7 5
20.0%

종사자현원-계
Real number (ℝ)

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.44
Minimum5
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:57.623350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q17
median9
Q311
95-th percentile16.8
Maximum17
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.5599625
Coefficient of variation (CV)0.37711468
Kurtosis0.074239932
Mean9.44
Median Absolute Deviation (MAD)2
Skewness0.84661806
Sum236
Variance12.673333
MonotonicityNot monotonic
2023-12-11T06:37:57.758421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
11 5
20.0%
9 5
20.0%
7 5
20.0%
5 3
12.0%
6 2
 
8.0%
17 2
 
8.0%
14 1
 
4.0%
16 1
 
4.0%
10 1
 
4.0%
ValueCountFrequency (%)
5 3
12.0%
6 2
 
8.0%
7 5
20.0%
9 5
20.0%
10 1
 
4.0%
11 5
20.0%
14 1
 
4.0%
16 1
 
4.0%
17 2
 
8.0%
ValueCountFrequency (%)
17 2
 
8.0%
16 1
 
4.0%
14 1
 
4.0%
11 5
20.0%
10 1
 
4.0%
9 5
20.0%
7 5
20.0%
6 2
 
8.0%
5 3
12.0%

종사자현원-남자
Real number (ℝ)

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.48
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:57.876059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.2
Q13
median3
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.530795
Coefficient of variation (CV)0.43988362
Kurtosis1.8458554
Mean3.48
Median Absolute Deviation (MAD)1
Skewness0.83643671
Sum87
Variance2.3433333
MonotonicityNot monotonic
2023-12-11T06:37:58.009058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 8
32.0%
5 5
20.0%
4 5
20.0%
2 4
16.0%
1 2
 
8.0%
8 1
 
4.0%
ValueCountFrequency (%)
1 2
 
8.0%
2 4
16.0%
3 8
32.0%
4 5
20.0%
5 5
20.0%
8 1
 
4.0%
ValueCountFrequency (%)
8 1
 
4.0%
5 5
20.0%
4 5
20.0%
3 8
32.0%
2 4
16.0%
1 2
 
8.0%

종사자현원-여자
Real number (ℝ)

Distinct11
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.96
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:58.117291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q14
median6
Q37
95-th percentile12.4
Maximum14
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0342489
Coefficient of variation (CV)0.50910217
Kurtosis1.6199507
Mean5.96
Median Absolute Deviation (MAD)2
Skewness1.1211147
Sum149
Variance9.2066667
MonotonicityNot monotonic
2023-12-11T06:37:58.233793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 7
28.0%
6 4
16.0%
7 4
16.0%
5 2
 
8.0%
8 2
 
8.0%
3 1
 
4.0%
10 1
 
4.0%
14 1
 
4.0%
1 1
 
4.0%
13 1
 
4.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
3 1
 
4.0%
4 7
28.0%
5 2
 
8.0%
6 4
16.0%
7 4
16.0%
8 2
 
8.0%
10 1
 
4.0%
13 1
 
4.0%
ValueCountFrequency (%)
14 1
 
4.0%
13 1
 
4.0%
10 1
 
4.0%
8 2
 
8.0%
7 4
16.0%
6 4
16.0%
5 2
 
8.0%
4 7
28.0%
3 1
 
4.0%
2 1
 
4.0%

종사자현원-정규직
Real number (ℝ)

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.64
Minimum4
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:58.350108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.2
Q15
median7
Q37
95-th percentile9.8
Maximum11
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8
Coefficient of variation (CV)0.27108434
Kurtosis0.14922289
Mean6.64
Median Absolute Deviation (MAD)1
Skewness0.68452913
Sum166
Variance3.24
MonotonicityNot monotonic
2023-12-11T06:37:58.464588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 7
28.0%
5 6
24.0%
6 4
16.0%
9 2
 
8.0%
4 2
 
8.0%
8 2
 
8.0%
10 1
 
4.0%
11 1
 
4.0%
ValueCountFrequency (%)
4 2
 
8.0%
5 6
24.0%
6 4
16.0%
7 7
28.0%
8 2
 
8.0%
9 2
 
8.0%
10 1
 
4.0%
11 1
 
4.0%
ValueCountFrequency (%)
11 1
 
4.0%
10 1
 
4.0%
9 2
 
8.0%
8 2
 
8.0%
7 7
28.0%
6 4
16.0%
5 6
24.0%
4 2
 
8.0%

종사자현원-비정규직
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum0
Maximum10
Zeros10
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:37:58.631777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile9.8
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.3788558
Coefficient of variation (CV)1.2067342
Kurtosis-0.139634
Mean2.8
Median Absolute Deviation (MAD)1
Skewness1.0256627
Sum70
Variance11.416667
MonotonicityNot monotonic
2023-12-11T06:37:58.929540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 10
40.0%
1 4
 
16.0%
5 2
 
8.0%
4 2
 
8.0%
10 2
 
8.0%
3 2
 
8.0%
6 1
 
4.0%
7 1
 
4.0%
9 1
 
4.0%
ValueCountFrequency (%)
0 10
40.0%
1 4
 
16.0%
3 2
 
8.0%
4 2
 
8.0%
5 2
 
8.0%
6 1
 
4.0%
7 1
 
4.0%
9 1
 
4.0%
10 2
 
8.0%
ValueCountFrequency (%)
10 2
 
8.0%
9 1
 
4.0%
7 1
 
4.0%
6 1
 
4.0%
5 2
 
8.0%
4 2
 
8.0%
3 2
 
8.0%
1 4
 
16.0%
0 10
40.0%

설치일자
Date

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2001-07-02 00:00:00
Maximum2023-01-01 00:00:00
2023-12-11T06:37:59.163335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:59.420660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

설치주체-지자체
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
위탁
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁 25
100.0%

Length

2023-12-11T06:37:59.662444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:59.834651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 25
100.0%

설치주체-민간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

운영주체-구분
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
사회복지법인
12 
사단법인
9 
재단법인
4 

Length

Max length6
Median length4
Mean length4.96
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사단법인
2nd row사회복지법인
3rd row사단법인
4th row사단법인
5th row사회복지법인

Common Values

ValueCountFrequency (%)
사회복지법인 12
48.0%
사단법인 9
36.0%
재단법인 4
 
16.0%

Length

2023-12-11T06:37:59.950011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:38:00.052090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지법인 12
48.0%
사단법인 9
36.0%
재단법인 4
 
16.0%

운영주체-법인(단체)명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T06:38:00.245739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length13
Mean length11.36
Min length3

Characters and Unicode

Total characters284
Distinct characters79
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

Unique25 ?
Unique (%)100.0%

Sample

1st row사단법인 고양시새마을회
2nd row사회복지법인 계영복지재단
3rd row구리문화원
4th row성민원
5th row한국장로교복지재단
ValueCountFrequency (%)
사회복지법인 6
 
13.0%
사단법인 5
 
10.9%
재단법인 3
 
6.5%
성민원 2
 
4.3%
한국장로교복지재단 2
 
4.3%
천주교수원교구사회복지회 1
 
2.2%
한국복지경영진흥원 1
 
2.2%
대한구세군유지 1
 
2.2%
힘찬동네 1
 
2.2%
연꽃마을 1
 
2.2%
Other values (23) 23
50.0%
2023-12-11T06:38:00.577575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 23
 
8.1%
21
 
7.4%
지 18
 
6.3%
복 17
 
6.0%
사 15
 
5.3%
인 15
 
5.3%
단 15
 
5.3%
법 14
 
4.9%
한 9
 
3.2%
재 9
 
3.2%
Other values (69) 128
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 257
90.5%
Space Separator 21
 
7.4%
Uppercase Letter 4
 
1.4%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 23
 
8.9%
지 18
 
7.0%
복 17
 
6.6%
사 15
 
5.8%
인 15
 
5.8%
단 15
 
5.8%
법 14
 
5.4%
한 9
 
3.5%
재 9
 
3.5%
원 8
 
3.1%
Other values (62) 114
44.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
Y 1
25.0%
M 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 257
90.5%
Common 23
 
8.1%
Latin 4
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 23
 
8.9%
지 18
 
7.0%
복 17
 
6.6%
사 15
 
5.8%
인 15
 
5.8%
단 15
 
5.8%
법 14
 
5.4%
한 9
 
3.5%
재 9
 
3.5%
원 8
 
3.1%
Other values (62) 114
44.4%
Latin
ValueCountFrequency (%)
A 1
25.0%
Y 1
25.0%
M 1
25.0%
C 1
25.0%
Common
ValueCountFrequency (%)
21
91.3%
( 1
 
4.3%
) 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 257
90.5%
ASCII 27
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 23
 
8.9%
지 18
 
7.0%
복 17
 
6.6%
사 15
 
5.8%
인 15
 
5.8%
단 15
 
5.8%
법 14
 
5.4%
한 9
 
3.5%
재 9
 
3.5%
원 8
 
3.1%
Other values (62) 114
44.4%
ASCII
ValueCountFrequency (%)
21
77.8%
( 1
 
3.7%
A 1
 
3.7%
Y 1
 
3.7%
M 1
 
3.7%
C 1
 
3.7%
) 1
 
3.7%

WGS84위도
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.420887
Minimum36.991221
Maximum37.801459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:38:00.757101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.991221
5-th percentile37.041008
Q137.283533
median37.387702
Q337.618404
95-th percentile37.761893
Maximum37.801459
Range0.81023826
Interquartile range (IQR)0.3348714

Descriptive statistics

Standard deviation0.22007535
Coefficient of variation (CV)0.0058810832
Kurtosis-0.48871042
Mean37.420887
Median Absolute Deviation (MAD)0.15264661
Skewness-0.03671408
Sum935.52217
Variance0.048433158
MonotonicityNot monotonic
2023-12-11T06:38:01.012264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
37.6669142771 1
 
4.0%
37.483078547 1
 
4.0%
37.2206679223 1
 
4.0%
37.5403481378 1
 
4.0%
36.9912208605 1
 
4.0%
37.7660891123 1
 
4.0%
37.2835330642 1
 
4.0%
37.7451070911 1
 
4.0%
37.3877300527 1
 
4.0%
37.2316518473 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
36.9912208605 1
4.0%
37.0064435119 1
4.0%
37.1792651749 1
4.0%
37.2206679223 1
4.0%
37.2316518473 1
4.0%
37.2833511524 1
4.0%
37.2835330642 1
4.0%
37.3056160775 1
4.0%
37.3250733145 1
4.0%
37.3449243649 1
4.0%
ValueCountFrequency (%)
37.8014591158 1
4.0%
37.7660891123 1
4.0%
37.7451070911 1
4.0%
37.6728535123 1
4.0%
37.6669142771 1
4.0%
37.6222742486 1
4.0%
37.6184044601 1
4.0%
37.5403481378 1
4.0%
37.4866950437 1
4.0%
37.483078547 1
4.0%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04045
Minimum126.72262
Maximum127.6369
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T06:38:01.199108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.72262
5-th percentile126.74883
Q1126.86556
median127.05699
Q3127.15295
95-th percentile127.40646
Maximum127.6369
Range0.91428092
Interquartile range (IQR)0.28738701

Descriptive statistics

Standard deviation0.22370212
Coefficient of variation (CV)0.0017608731
Kurtosis0.73935456
Mean127.04045
Median Absolute Deviation (MAD)0.14217245
Skewness0.68699076
Sum3176.0113
Variance0.050042637
MonotonicityNot monotonic
2023-12-11T06:38:01.360067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
126.7745728303 1
 
4.0%
126.8655617394 1
 
4.0%
126.9517274811 1
 
4.0%
127.2033820711 1
 
4.0%
127.1283367841 1
 
4.0%
126.7750811247 1
 
4.0%
127.4407183633 1
 
4.0%
127.0571992364 1
 
4.0%
126.9982747201 1
 
4.0%
127.2032315894 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
126.7226202082 1
4.0%
126.7423886716 1
4.0%
126.7745728303 1
4.0%
126.7750522908 1
4.0%
126.7750811247 1
4.0%
126.8099722144 1
4.0%
126.8655617394 1
4.0%
126.93936712 1
4.0%
126.9517274811 1
4.0%
126.9560520043 1
4.0%
ValueCountFrequency (%)
127.636901133 1
4.0%
127.4407183633 1
4.0%
127.2694243638 1
4.0%
127.2033820711 1
4.0%
127.2032315894 1
4.0%
127.1991587047 1
4.0%
127.1529487512 1
4.0%
127.1384835253 1
4.0%
127.1283367841 1
4.0%
127.1110089557 1
4.0%

Sample

시군명시설명도로명 주소지번 주소우편번호전화번호FAX번호시설면적-계(㎡)사무실면적(㎡)상담실면적(㎡)교육실면적(㎡)사업장면적(㎡)종사자정원종사자현원-계종사자현원-남자종사자현원-여자종사자현원-정규직종사자현원-비정규직설치일자설치주체-지자체설치주체-민간운영주체-구분운영주체-법인(단체)명WGS84위도WGS84경도
0고양시고양시니어클럽경기도 고양시 일산동구 무궁화로 106경기도 고양시 일산동구 정발산동 816번지10405031-904-2611031-904-26146677823278288121156652007-12-24위탁<NA>사단법인사단법인 고양시새마을회37.666914126.774573
1광명시광명시니어클럽경기도 광명시 연서일로 4-3경기도 광명시 철산동 158번지 4층1421402-2689-984202-2689-994810754203308523502021-06-23위탁<NA>사회복지법인사회복지법인 계영복지재단37.483079126.865562
2구리시구리시니어클럽경기도 구리시 동구릉로 217-14경기도 구리시 인창동 56-36번지11910031-567-0432031-567-0440157491313826624512007-12-24위탁<NA>사단법인구리문화원37.618404127.138484
3군포시군포시니어클럽경기도 군포시 금당로69번길 29경기도 군포시 당동 948-5번지15858031-454-2077031-454-20791272108191769709936902009-07-24위탁<NA>사단법인성민원37.352357126.939367
4김포시김포시니어클럽경기도 김포시 사우중로74번길 48경기도 김포시 사우동 865번지10111031-986-1425031-986-142628233002496514412009-03-09위탁<NA>사회복지법인한국장로교복지재단37.622274126.72262
5남양주시남양주시니어클럽경기도 남양주시 진건읍 진건오남로 379경기도 남양주시 진건읍 송능리 115-22번지12129031-575-6080031-575-6075317122368871111156562009-03-05위탁<NA>사회복지법인대한불교 조계종 사회복지재단37.672854127.199159
6부천시부천시니어클럽경기도 부천시 부일로 406경기도 부천시 심곡동 360번지14628032-668-4107032-656-410511031736338917734702001-07-02위탁<NA>재단법인부천YMCA37.486695126.775052
7성남시분당시니어클럽경기도 성남시 분당구 금곡로23번길 15-5경기도 성남시 분당구 구미동 138번지13632031-712-2508031-712-2533408101003079945542009-05-01위탁<NA>사회복지법인사회복지법인 기아대책37.344924127.111009
8성남시성남시니어클럽경기도 성남시 수정구 수정남로268번길 28경기도 성남시 수정구 산성동 2178번지13130031-735-6333031-732-533346465003991111561012006-11-01위탁<NA>재단법인재단법인 성모성심수도회37.450931127.152949
9수원시수원시니어클럽경기도 수원시 팔달구 수성로182번길 85경기도 수원시 팔달구 화서동 277-2번지16435031-202-1435031-202-149476236002381641414410772006-11-01위탁<NA>사회복지법인대한예수교장로회총회 한국장로교복지재단37.283351126.994321
시군명시설명도로명 주소지번 주소우편번호전화번호FAX번호시설면적-계(㎡)사무실면적(㎡)상담실면적(㎡)교육실면적(㎡)사업장면적(㎡)종사자정원종사자현원-계종사자현원-남자종사자현원-여자종사자현원-정규직종사자현원-비정규직설치일자설치주체-지자체설치주체-민간운영주체-구분운영주체-법인(단체)명WGS84위도WGS84경도
15여주시여주시니어클럽경기도 여주시 강변북로 128경기도 여주시 현암동 224번지 2층12638031-885-1238031-885-1248449146003037734702019-08-01위탁<NA>재단법인재단법인 대한구세군유지37.305616127.636901
16오산시오산시니어클럽경기도 오산시 경기대로636번길 13경기도 오산시 내삼미동 496-2번지18112031-372-6090031-372-60964559081791797734702021-11-01위탁<NA>사단법인사단법인 힘찬동네37.179265127.056986
17용인시용인시니어클럽경기도 용인시 처인구 중부대로1424번길 11-16경기도 용인시 처인구 김량장동 353-15번지17062070-7101-8254031-321-76972504018201735532502009-12-28위탁<NA>사회복지법인연꽃마을37.231652127.203232
18의왕시의왕시니어클럽경기도 의왕시 백운로 584경기도 의왕시 청계동 824-2번지16013031-426-7988031-426-7981172381128959927542010-06-22위탁<NA>사회복지법인천주교수원교구사회복지회37.38773126.998275
19의정부시의정부시니어클럽경기도 의정부시 장곡로 476경기도 의정부시 신곡동 669-4번지11740031-826-0760031-826-07621954026261037734432007-12-24위탁<NA>사회복지법인대한사회복지회37.745107127.057199
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