Overview

Dataset statistics

Number of variables7
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory66.0 B

Variable types

Numeric4
DateTime1
Text2

Dataset

Description인천광역시 미추홀구의 명예사회복지공무원 협약기관 현황 데이터로 협약일,기관명,협약인원에 대한 데이터를 제공합니다
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15081954&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
기관명 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:48:43.537098
Analysis finished2024-03-18 05:48:46.918279
Duration3.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-03-18T14:48:46.970822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-03-18T14:48:47.074862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

협약일
Date

Distinct8
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2019-02-07 00:00:00
Maximum2023-03-07 00:00:00
2024-03-18T14:48:47.168774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:47.273283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

기관명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T14:48:47.476603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length11.363636
Min length6

Characters and Unicode

Total characters250
Distinct characters86
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row숭의종합사회복지관
2nd row인천종합사회복지관
3rd row미추홀종합사회복지관
4th row미추홀노인복지관
5th row인천광역시시각장애인복지관
ValueCountFrequency (%)
한국야쿠르트 3
 
8.8%
경인지점 3
 
8.8%
미추홀지회 2
 
5.9%
숭의종합사회복지관 1
 
2.9%
주안점 1
 
2.9%
nib 1
 
2.9%
제물포지점 1
 
2.9%
한전제물포지사,한전mcs 1
 
2.9%
남인천우체국 1
 
2.9%
인천 1
 
2.9%
Other values (19) 19
55.9%
2024-03-18T14:48:47.866918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 17
 
6.8%
인 17
 
6.8%
12
 
4.8%
사 10
 
4.0%
미 9
 
3.6%
추 9
 
3.6%
홀 9
 
3.6%
복 8
 
3.2%
천 8
 
3.2%
점 7
 
2.8%
Other values (76) 144
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
91.6%
Space Separator 12
 
4.8%
Uppercase Letter 6
 
2.4%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 17
 
7.4%
인 17
 
7.4%
사 10
 
4.4%
미 9
 
3.9%
추 9
 
3.9%
홀 9
 
3.9%
복 8
 
3.5%
천 8
 
3.5%
점 7
 
3.1%
한 7
 
3.1%
Other values (66) 128
55.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
16.7%
M 1
16.7%
S 1
16.7%
N 1
16.7%
I 1
16.7%
B 1
16.7%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
91.6%
Common 15
 
6.0%
Latin 6
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 17
 
7.4%
인 17
 
7.4%
사 10
 
4.4%
미 9
 
3.9%
추 9
 
3.9%
홀 9
 
3.9%
복 8
 
3.5%
천 8
 
3.5%
점 7
 
3.1%
한 7
 
3.1%
Other values (66) 128
55.9%
Latin
ValueCountFrequency (%)
C 1
16.7%
M 1
16.7%
S 1
16.7%
N 1
16.7%
I 1
16.7%
B 1
16.7%
Common
ValueCountFrequency (%)
12
80.0%
) 1
 
6.7%
( 1
 
6.7%
, 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
91.6%
ASCII 21
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 17
 
7.4%
인 17
 
7.4%
사 10
 
4.4%
미 9
 
3.9%
추 9
 
3.9%
홀 9
 
3.9%
복 8
 
3.5%
천 8
 
3.5%
점 7
 
3.1%
한 7
 
3.1%
Other values (66) 128
55.9%
ASCII
ValueCountFrequency (%)
12
57.1%
) 1
 
4.8%
( 1
 
4.8%
C 1
 
4.8%
, 1
 
4.8%
M 1
 
4.8%
S 1
 
4.8%
N 1
 
4.8%
I 1
 
4.8%
B 1
 
4.8%

인원
Real number (ℝ)

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.454545
Minimum2
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-03-18T14:48:48.021098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.25
Q112.25
median18.5
Q329.25
95-th percentile35.8
Maximum96
Range94
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.998063
Coefficient of variation (CV)0.84606759
Kurtosis10.989313
Mean22.454545
Median Absolute Deviation (MAD)9
Skewness2.886534
Sum494
Variance360.92641
MonotonicityNot monotonic
2024-03-18T14:48:48.157786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
9 3
13.6%
24 2
 
9.1%
30 2
 
9.1%
32 2
 
9.1%
13 1
 
4.5%
18 1
 
4.5%
96 1
 
4.5%
16 1
 
4.5%
36 1
 
4.5%
2 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
2 1
 
4.5%
4 1
 
4.5%
9 3
13.6%
12 1
 
4.5%
13 1
 
4.5%
15 1
 
4.5%
16 1
 
4.5%
17 1
 
4.5%
18 1
 
4.5%
19 1
 
4.5%
ValueCountFrequency (%)
96 1
4.5%
36 1
4.5%
32 2
9.1%
30 2
9.1%
27 1
4.5%
24 2
9.1%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%

도로명주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T14:48:48.360790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21.5
Mean length20.454545
Min length17

Characters and Unicode

Total characters450
Distinct characters61
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

Unique22 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 독배로 485
2nd row인천광역시 미추홀구 매소홀로418번길 14-57
3rd row인천광역시 미추홀구 염창로 97
4th row인천광역시 미추홀구 학익소로37번길 17
5th row인천광역시 미추홀구 한나루로357번길 105-19
ValueCountFrequency (%)
인천광역시 22
23.7%
미추홀구 21
22.6%
독정이로9번길 2
 
2.2%
미추홀대로 2
 
2.2%
3-14 1
 
1.1%
95 1
 
1.1%
29 1
 
1.1%
토금북로57번길 1
 
1.1%
19 1
 
1.1%
주안중로 1
 
1.1%
Other values (40) 40
43.0%
2024-03-18T14:48:48.721495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
15.8%
인 24
 
5.3%
홀 24
 
5.3%
미 23
 
5.1%
추 23
 
5.1%
광 22
 
4.9%
역 22
 
4.9%
시 22
 
4.9%
구 22
 
4.9%
천 22
 
4.9%
Other values (51) 175
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 301
66.9%
Decimal Number 75
 
16.7%
Space Separator 71
 
15.8%
Dash Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 24
 
8.0%
홀 24
 
8.0%
미 23
 
7.6%
추 23
 
7.6%
광 22
 
7.3%
역 22
 
7.3%
시 22
 
7.3%
구 22
 
7.3%
천 22
 
7.3%
로 22
 
7.3%
Other values (39) 75
24.9%
Decimal Number
ValueCountFrequency (%)
1 12
16.0%
5 10
13.3%
9 10
13.3%
7 10
13.3%
4 10
13.3%
2 8
10.7%
8 5
6.7%
3 5
6.7%
6 3
 
4.0%
0 2
 
2.7%
Space Separator
ValueCountFrequency (%)
71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 301
66.9%
Common 149
33.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 24
 
8.0%
홀 24
 
8.0%
미 23
 
7.6%
추 23
 
7.6%
광 22
 
7.3%
역 22
 
7.3%
시 22
 
7.3%
구 22
 
7.3%
천 22
 
7.3%
로 22
 
7.3%
Other values (39) 75
24.9%
Common
ValueCountFrequency (%)
71
47.7%
1 12
 
8.1%
5 10
 
6.7%
9 10
 
6.7%
7 10
 
6.7%
4 10
 
6.7%
2 8
 
5.4%
8 5
 
3.4%
3 5
 
3.4%
6 3
 
2.0%
Other values (2) 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 301
66.9%
ASCII 149
33.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
47.7%
1 12
 
8.1%
5 10
 
6.7%
9 10
 
6.7%
7 10
 
6.7%
4 10
 
6.7%
2 8
 
5.4%
8 5
 
3.4%
3 5
 
3.4%
6 3
 
2.0%
Other values (2) 5
 
3.4%
Hangul
ValueCountFrequency (%)
인 24
 
8.0%
홀 24
 
8.0%
미 23
 
7.6%
추 23
 
7.6%
광 22
 
7.3%
역 22
 
7.3%
시 22
 
7.3%
구 22
 
7.3%
천 22
 
7.3%
로 22
 
7.3%
Other values (39) 75
24.9%

위도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.457128
Minimum37.438118
Maximum37.475245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-03-18T14:48:48.866729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.438118
5-th percentile37.438988
Q137.451096
median37.4587
Q337.463158
95-th percentile37.469924
Maximum37.475245
Range0.0371276
Interquartile range (IQR)0.012061805

Descriptive statistics

Standard deviation0.0096003581
Coefficient of variation (CV)0.00025630257
Kurtosis-0.12994475
Mean37.457128
Median Absolute Deviation (MAD)0.006034935
Skewness-0.34808048
Sum824.05682
Variance9.2166876 × 10-5
MonotonicityNot monotonic
2024-03-18T14:48:48.999784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
37.46064895 1
 
4.5%
37.45389211 1
 
4.5%
37.45996002 1
 
4.5%
37.469989 1
 
4.5%
37.46052627 1
 
4.5%
37.45710184 1
 
4.5%
37.45169916 1
 
4.5%
37.46869342 1
 
4.5%
37.45055575 1
 
4.5%
37.46219786 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
37.43811766 1
4.5%
37.43866722 1
4.5%
37.44507738 1
4.5%
37.44625854 1
4.5%
37.45055575 1
4.5%
37.45089504 1
4.5%
37.45169916 1
4.5%
37.45389211 1
4.5%
37.45694803 1
4.5%
37.45710184 1
4.5%
ValueCountFrequency (%)
37.47524526 1
4.5%
37.469989 1
4.5%
37.46869342 1
4.5%
37.46559847 1
4.5%
37.46387063 1
4.5%
37.46347788 1
4.5%
37.46219786 1
4.5%
37.46064895 1
4.5%
37.46052627 1
4.5%
37.45996002 1
4.5%

경도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66614
Minimum126.63314
Maximum126.69643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-03-18T14:48:49.118860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63314
5-th percentile126.64075
Q1126.65208
median126.66374
Q3126.68052
95-th percentile126.69144
Maximum126.69643
Range0.0632922
Interquartile range (IQR)0.028443425

Descriptive statistics

Standard deviation0.018369623
Coefficient of variation (CV)0.00014502394
Kurtosis-1.1458706
Mean126.66614
Median Absolute Deviation (MAD)0.0156339
Skewness-0.057078702
Sum2786.6551
Variance0.00033744304
MonotonicityNot monotonic
2024-03-18T14:48:49.235391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
126.645004 1
 
4.5%
126.6406502 1
 
4.5%
126.6780934 1
 
4.5%
126.660277 1
 
4.5%
126.6964311 1
 
4.5%
126.6517186 1
 
4.5%
126.6800334 1
 
4.5%
126.6602394 1
 
4.5%
126.6331389 1
 
4.5%
126.6806843 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
126.6331389 1
4.5%
126.6406502 1
4.5%
126.6426622 1
4.5%
126.645004 1
4.5%
126.6500013 1
4.5%
126.6517186 1
4.5%
126.6531568 1
4.5%
126.6560275 1
4.5%
126.6602394 1
4.5%
126.660277 1
4.5%
ValueCountFrequency (%)
126.6964311 1
4.5%
126.6914966 1
4.5%
126.6903305 1
4.5%
126.6849558 1
4.5%
126.6828714 1
4.5%
126.6806843 1
4.5%
126.6800334 1
4.5%
126.6787096 1
4.5%
126.6780934 1
4.5%
126.6711736 1
4.5%

Interactions

2024-03-18T14:48:46.396827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:45.354116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:45.759157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:46.077329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:46.469975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:45.505574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:45.827019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:46.148000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:46.553237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:45.592146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:45.917746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:46.223669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:46.648182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:45.679029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:46.004885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:48:46.311003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:48:49.335583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번협약일기관명인원도로명주소위도경도
연번1.0000.7491.0000.0001.0000.0000.000
협약일0.7491.0001.0000.7491.0000.0000.000
기관명1.0001.0001.0001.0001.0001.0001.000
인원0.0000.7491.0001.0001.0000.7530.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
위도0.0000.0001.0000.7531.0001.0000.869
경도0.0000.0001.0000.0001.0000.8691.000
2024-03-18T14:48:49.436822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인원위도경도
연번1.0000.4450.257-0.004
인원0.4451.0000.0590.059
위도0.2570.0591.0000.048
경도-0.0040.0590.0481.000

Missing values

2024-03-18T14:48:46.750444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:48:46.873773image/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

연번협약일기관명인원도로명주소위도경도
012019-02-07숭의종합사회복지관13인천광역시 미추홀구 독배로 48537.460649126.645004
122019-02-07인천종합사회복지관9인천광역시 미추홀구 매소홀로418번길 14-5737.438667126.66683
232019-02-07미추홀종합사회복지관12인천광역시 미추홀구 염창로 9737.465598126.684956
342019-02-07미추홀노인복지관20인천광역시 미추홀구 학익소로37번길 1737.445077126.671174
452019-02-07인천광역시시각장애인복지관24인천광역시 미추홀구 한나루로357번길 105-1937.438118126.656027
562019-02-07미추홀지역자활센터9인천광역시 미추홀구 인주대로 493 영훈빌딩 3층37.450895126.691497
672019-02-07희망지역자활센터9인천광역시 미추홀구 송림로 249 4층37.475245126.660645
782019-02-07미추홀장애인종합복지관30인천광역시 미추홀구 경원대로 71437.446259126.690331
892019-02-07미추홀구청소년상담복지센터19인천광역시 미추홀구 주안로 82 5층37.463871126.67871
9102019-02-07미추홀구 가족센터27인천광역시 미추홀구 낙섬중로 12937.45826126.642662
연번협약일기관명인원도로명주소위도경도
12132019-04-16한국야쿠르트 경인지점 인하점32인천광역시 미추홀구 토금북로57번길 1937.453892126.64065
13142019-04-16한국야쿠르트 경인지점 주안점18인천광역시 미추홀구 주안중로 837.459139126.682871
14152019-07-30인천사랑병원4인천광역시 미추홀구 미추홀대로 72637.462198126.680684
15162019-07-30인천사랑노인요양원2인천광역시 미추홀구 낙섬서로 3-1437.450556126.633139
16172020-02-13인천광역시상수도사업본부36인천광역시 미추홀구 석정로 22537.468693126.660239
17182020-08-20한국공인중개사협회 미추홀지회24인천광역시 미추홀구 미추홀대로 61037.451699126.680033
18192021-05-06(사)한국이용사회 인천 미추홀지회16인천광역시 미추홀구 독정이로9번길 5637.457102126.651719
19202023-03-06남인천우체국96인천광역시 남동구 경인로 51437.460526126.696431
20212023-03-07한전제물포지사,한전MCS 제물포지점32인천광역시 미추홀구 숙골로 87번길 2737.469989126.660277
21222023-03-07NIB 남인천방송30인천광역시 미추홀구 주안서로 1437.45996126.678093