Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory57.3 B

Variable types

Numeric3
Text3

Dataset

Description인천광역시 미추홀구청의 동 행정복지센터 현황 에 대한 데이터로 행정복지센터명,도로명주소, 전화번호 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15081949/fileData.do

Alerts

연번 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
관할동 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:16:41.983995
Analysis finished2024-04-06 08:16:44.879662
Duration2.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T17:16:44.982274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-04-06T17:16:45.210269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

관할동
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-06T17:16:45.555112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.1904762
Min length3

Characters and Unicode

Total characters88
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
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 row숭의1·3동
2nd row숭의2동
3rd row숭의4동
4th row용현1·4동
5th row용현2동
ValueCountFrequency (%)
숭의1·3동 1
 
4.8%
주안1동 1
 
4.8%
관교동 1
 
4.8%
주안8동 1
 
4.8%
주안7동 1
 
4.8%
주안6동 1
 
4.8%
주안5동 1
 
4.8%
주안4동 1
 
4.8%
주안3동 1
 
4.8%
주안2동 1
 
4.8%
Other values (11) 11
52.4%
2024-04-06T17:16:46.273238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 21
23.9%
안 8
 
9.1%
주 8
 
9.1%
1 5
 
5.7%
2 5
 
5.7%
3 4
 
4.5%
용 4
 
4.5%
현 4
 
4.5%
숭 3
 
3.4%
의 3
 
3.4%
Other values (13) 23
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
71.6%
Decimal Number 22
 
25.0%
Other Punctuation 3
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 21
33.3%
안 8
 
12.7%
주 8
 
12.7%
용 4
 
6.3%
현 4
 
6.3%
숭 3
 
4.8%
의 3
 
4.8%
학 3
 
4.8%
익 2
 
3.2%
도 2
 
3.2%
Other values (4) 5
 
7.9%
Decimal Number
ValueCountFrequency (%)
1 5
22.7%
2 5
22.7%
3 4
18.2%
4 3
13.6%
5 2
 
9.1%
6 1
 
4.5%
7 1
 
4.5%
8 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
· 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
71.6%
Common 25
 
28.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 21
33.3%
안 8
 
12.7%
주 8
 
12.7%
용 4
 
6.3%
현 4
 
6.3%
숭 3
 
4.8%
의 3
 
4.8%
학 3
 
4.8%
익 2
 
3.2%
도 2
 
3.2%
Other values (4) 5
 
7.9%
Common
ValueCountFrequency (%)
1 5
20.0%
2 5
20.0%
3 4
16.0%
4 3
12.0%
· 3
12.0%
5 2
 
8.0%
6 1
 
4.0%
7 1
 
4.0%
8 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
71.6%
ASCII 22
 
25.0%
None 3
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 21
33.3%
안 8
 
12.7%
주 8
 
12.7%
용 4
 
6.3%
현 4
 
6.3%
숭 3
 
4.8%
의 3
 
4.8%
학 3
 
4.8%
익 2
 
3.2%
도 2
 
3.2%
Other values (4) 5
 
7.9%
ASCII
ValueCountFrequency (%)
1 5
22.7%
2 5
22.7%
3 4
18.2%
4 3
13.6%
5 2
 
9.1%
6 1
 
4.5%
7 1
 
4.5%
8 1
 
4.5%
None
ValueCountFrequency (%)
· 3
100.0%

도로명주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-06T17:16:46.689918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length25.095238
Min length22

Characters and Unicode

Total characters527
Distinct characters63
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row인천광역시 미추홀구 석정로92번길 21-17(숭의동)
2nd row인천광역시 미추홀구 경인로34번길 20(숭의동)
3rd row인천광역시 미추홀구 경인로156번길 32(숭의동)
4th row인천광역시 미추홀구 인주대로 198(용현동)
5th row인천광역시 미추홀구 용마루로 56(용현동)
ValueCountFrequency (%)
인천광역시 21
25.0%
미추홀구 21
25.0%
인하로 2
 
2.4%
인주대로 2
 
2.4%
소성로 1
 
1.2%
5(주안동 1
 
1.2%
주안서로53번길 1
 
1.2%
22(주안동 1
 
1.2%
남주길43번길 1
 
1.2%
14-29(주안동 1
 
1.2%
Other values (32) 32
38.1%
2024-04-06T17:16:47.427088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
12.0%
인 29
 
5.5%
홀 22
 
4.2%
구 22
 
4.2%
( 21
 
4.0%
광 21
 
4.0%
역 21
 
4.0%
시 21
 
4.0%
미 21
 
4.0%
추 21
 
4.0%
Other values (53) 265
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
64.9%
Decimal Number 76
 
14.4%
Space Separator 63
 
12.0%
Open Punctuation 21
 
4.0%
Close Punctuation 21
 
4.0%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 29
 
8.5%
홀 22
 
6.4%
구 22
 
6.4%
광 21
 
6.1%
역 21
 
6.1%
시 21
 
6.1%
미 21
 
6.1%
추 21
 
6.1%
천 21
 
6.1%
동 21
 
6.1%
Other values (39) 122
35.7%
Decimal Number
ValueCountFrequency (%)
2 14
18.4%
4 11
14.5%
3 10
13.2%
1 9
11.8%
5 8
10.5%
9 7
9.2%
6 6
7.9%
0 5
 
6.6%
8 4
 
5.3%
7 2
 
2.6%
Space Separator
ValueCountFrequency (%)
63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
64.9%
Common 185
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 29
 
8.5%
홀 22
 
6.4%
구 22
 
6.4%
광 21
 
6.1%
역 21
 
6.1%
시 21
 
6.1%
미 21
 
6.1%
추 21
 
6.1%
천 21
 
6.1%
동 21
 
6.1%
Other values (39) 122
35.7%
Common
ValueCountFrequency (%)
63
34.1%
( 21
 
11.4%
) 21
 
11.4%
2 14
 
7.6%
4 11
 
5.9%
3 10
 
5.4%
1 9
 
4.9%
5 8
 
4.3%
9 7
 
3.8%
6 6
 
3.2%
Other values (4) 15
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 342
64.9%
ASCII 185
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
34.1%
( 21
 
11.4%
) 21
 
11.4%
2 14
 
7.6%
4 11
 
5.9%
3 10
 
5.4%
1 9
 
4.9%
5 8
 
4.3%
9 7
 
3.8%
6 6
 
3.2%
Other values (4) 15
 
8.1%
Hangul
ValueCountFrequency (%)
인 29
 
8.5%
홀 22
 
6.4%
구 22
 
6.4%
광 21
 
6.1%
역 21
 
6.1%
시 21
 
6.1%
미 21
 
6.1%
추 21
 
6.1%
천 21
 
6.1%
동 21
 
6.1%
Other values (39) 122
35.7%

전화번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-06T17:16:47.764085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
Distinct characters10
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 row032-728-6101
2nd row032-728-6121
3rd row032-728-6141
4th row032-728-6161
5th row032-728-6181
ValueCountFrequency (%)
032-728-6101 1
 
4.8%
032-728-6321 1
 
4.8%
032-728-6481 1
 
4.8%
032-728-6461 1
 
4.8%
032-728-6441 1
 
4.8%
032-728-6421 1
 
4.8%
032-728-6401 1
 
4.8%
032-728-6381 1
 
4.8%
032-728-6361 1
 
4.8%
032-728-6341 1
 
4.8%
Other values (11) 11
52.4%
2024-04-06T17:16:48.346267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 51
20.2%
- 42
16.7%
0 26
10.3%
3 26
10.3%
1 26
10.3%
8 25
9.9%
6 25
9.9%
7 21
8.3%
4 9
 
3.6%
5 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 51
24.3%
0 26
12.4%
3 26
12.4%
1 26
12.4%
8 25
11.9%
6 25
11.9%
7 21
10.0%
4 9
 
4.3%
5 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 51
20.2%
- 42
16.7%
0 26
10.3%
3 26
10.3%
1 26
10.3%
8 25
9.9%
6 25
9.9%
7 21
8.3%
4 9
 
3.6%
5 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 51
20.2%
- 42
16.7%
0 26
10.3%
3 26
10.3%
1 26
10.3%
8 25
9.9%
6 25
9.9%
7 21
8.3%
4 9
 
3.6%
5 1
 
0.4%

위도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.454976
Minimum37.437685
Maximum37.470923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T17:16:48.587717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.437685
5-th percentile37.439838
Q137.448445
median37.454801
Q337.463001
95-th percentile37.467241
Maximum37.470923
Range0.03323763
Interquartile range (IQR)0.01455612

Descriptive statistics

Standard deviation0.0093513755
Coefficient of variation (CV)0.00024966977
Kurtosis-0.87837277
Mean37.454976
Median Absolute Deviation (MAD)0.00820018
Skewness-0.14701037
Sum786.55451
Variance8.7448224 × 10-5
MonotonicityNot monotonic
2024-04-06T17:16:48.837215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37.46724062 1
 
4.8%
37.4630013 1
 
4.8%
37.43768495 1
 
4.8%
37.44417922 1
 
4.8%
37.44956626 1
 
4.8%
37.44844518 1
 
4.8%
37.46127832 1
 
4.8%
37.46592083 1
 
4.8%
37.45512738 1
 
4.8%
37.44488455 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
37.43768495 1
4.8%
37.43983771 1
4.8%
37.44417922 1
4.8%
37.44488455 1
4.8%
37.44658154 1
4.8%
37.44844518 1
4.8%
37.44956626 1
4.8%
37.451501 1
4.8%
37.45255004 1
4.8%
37.45469924 1
4.8%
ValueCountFrequency (%)
37.47092258 1
4.8%
37.46724062 1
4.8%
37.46592083 1
4.8%
37.46483916 1
4.8%
37.46379112 1
4.8%
37.4630013 1
4.8%
37.46127832 1
4.8%
37.46090745 1
4.8%
37.45674657 1
4.8%
37.45512738 1
4.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66976
Minimum126.64026
Maximum126.69681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T17:16:49.069030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64026
5-th percentile126.64723
Q1126.65858
median126.67272
Q3126.685
95-th percentile126.69231
Maximum126.69681
Range0.0565489
Interquartile range (IQR)0.0264288

Descriptive statistics

Standard deviation0.016922536
Coefficient of variation (CV)0.00013359571
Kurtosis-1.0964199
Mean126.66976
Median Absolute Deviation (MAD)0.014149
Skewness-0.12958661
Sum2660.0649
Variance0.00028637222
MonotonicityNot monotonic
2024-04-06T17:16:49.338217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
126.6472275 1
 
4.8%
126.6472531 1
 
4.8%
126.6850043 1
 
4.8%
126.6968093 1
 
4.8%
126.6893094 1
 
4.8%
126.6776513 1
 
4.8%
126.692311 1
 
4.8%
126.6870503 1
 
4.8%
126.6903025 1
 
4.8%
126.6740315 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
126.6402604 1
4.8%
126.647225 1
4.8%
126.6472275 1
4.8%
126.6472531 1
4.8%
126.6519011 1
4.8%
126.6585755 1
4.8%
126.6591374 1
4.8%
126.6641176 1
4.8%
126.6661438 1
4.8%
126.6674738 1
4.8%
ValueCountFrequency (%)
126.6968093 1
4.8%
126.692311 1
4.8%
126.6903025 1
4.8%
126.6893094 1
4.8%
126.6870503 1
4.8%
126.6850043 1
4.8%
126.6776513 1
4.8%
126.67658 1
4.8%
126.6740315 1
4.8%
126.673829 1
4.8%

Interactions

2024-04-06T17:16:44.009174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:42.438380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:43.198251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:44.201470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:42.730219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:43.508058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:44.384746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:42.963339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:43.835051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:16:49.536034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할동도로명주소전화번호위도경도
연번1.0001.0001.0001.0000.0000.906
관할동1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0001.0000.000
경도0.9061.0001.0001.0000.0001.000
2024-04-06T17:16:49.728775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.4250.900
위도-0.4251.000-0.216
경도0.900-0.2161.000

Missing values

2024-04-06T17:16:44.597721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:16:44.807448image/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

연번관할동도로명주소전화번호위도경도
01숭의1·3동인천광역시 미추홀구 석정로92번길 21-17(숭의동)032-728-610137.467241126.647227
12숭의2동인천광역시 미추홀구 경인로34번길 20(숭의동)032-728-612137.463001126.647253
23숭의4동인천광역시 미추홀구 경인로156번길 32(숭의동)032-728-614137.464839126.659137
34용현1·4동인천광역시 미추홀구 인주대로 198(용현동)032-728-616137.454801126.658575
45용현2동인천광역시 미추홀구 용마루로 56(용현동)032-728-618137.451501126.647225
56용현3동인천광역시 미추홀구 인주대로 133(용현동)032-728-620137.456747126.651901
67용현5동인천광역시 미추홀구 토금북로 60(용현동)032-728-622137.45255126.64026
78학익1동인천광역시 미추홀구 매소홀로 380(학익동)032-728-624137.439838126.664118
89학익2동인천광역시 미추홀구 한나루로 444(학익동)032-728-626137.446582126.667474
910도화1동인천광역시 미추홀구 경인로 295(도화동)032-728-628137.460907126.673829
연번관할동도로명주소전화번호위도경도
1112주안1동인천광역시 미추홀구 주안서로53번길 22(주안동)032-728-632137.463791126.67658
1213주안2동인천광역시 미추홀구 남주길43번길 14-29(주안동)032-728-634137.454699126.672725
1314주안3동인천광역시 미추홀구 주승로31번길 28-10(주안동)032-728-636137.444885126.674031
1415주안4동인천광역시 미추홀구 구월남로 5(주안동)032-728-638137.455127126.690303
1516주안5동인천광역시 미추홀구 석정로 462(주안동)032-728-640137.465921126.68705
1617주안6동인천광역시 미추홀구 경원대로864번길 59(주안동)032-728-642137.461278126.692311
1718주안7동인천광역시 미추홀구 인하로 265(주안동)032-728-644137.448445126.677651
1819주안8동인천광역시 미추홀구 인주대로470번길 24(주안동)032-728-646137.449566126.689309
1920관교동인천광역시 미추홀구 인하로 452(관교동)032-728-648137.444179126.696809
2021문학동인천광역시 미추홀구 소성로 339(문학동)032-728-650137.437685126.685004