Overview

Dataset statistics

Number of variables6
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory53.2 B

Variable types

Text3
Categorical1
Numeric2

Dataset

Description인천광역시 미추홀구 생활체육지도자 배치사업 현황에 대한 데이터입니다. 종목, 장소, 도로명주소, 전화번호,위도, 경도 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15088461/fileData.do

Reproduction

Analysis started2023-12-12 17:45:21.361476
Analysis finished2023-12-12 17:45:22.410032
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종목
Text

Distinct26
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T02:45:22.558991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length3.804878
Min length2

Characters and Unicode

Total characters156
Distinct characters64
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)46.3%

Sample

1st row걷기
2nd row유아스포츠
3rd row유아스포츠
4th row배드민턴
5th row배드민턴
ValueCountFrequency (%)
헬스 6
 
14.6%
탁구 4
 
9.8%
밴드체조 4
 
9.8%
배드민턴 2
 
4.9%
보디빌딩&헬스 2
 
4.9%
요가 2
 
4.9%
유아스포츠 2
 
4.9%
라인댄스 1
 
2.4%
걷기 1
 
2.4%
소도구운동 1
 
2.4%
Other values (16) 16
39.0%
2023-12-13T02:45:22.945987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 17
 
10.9%
헬 8
 
5.1%
드 7
 
4.5%
체 7
 
4.5%
구 6
 
3.8%
트 6
 
3.8%
레 5
 
3.2%
탁 5
 
3.2%
조 5
 
3.2%
밴 5
 
3.2%
Other values (54) 85
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
96.2%
Other Punctuation 4
 
2.6%
Uppercase Letter 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 17
 
11.3%
헬 8
 
5.3%
드 7
 
4.7%
체 7
 
4.7%
구 6
 
4.0%
트 6
 
4.0%
레 5
 
3.3%
탁 5
 
3.3%
조 5
 
3.3%
밴 5
 
3.3%
Other values (50) 79
52.7%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
. 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
50.0%
G 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
96.2%
Common 4
 
2.6%
Latin 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 17
 
11.3%
헬 8
 
5.3%
드 7
 
4.7%
체 7
 
4.7%
구 6
 
4.0%
트 6
 
4.0%
레 5
 
3.3%
탁 5
 
3.3%
조 5
 
3.3%
밴 5
 
3.3%
Other values (50) 79
52.7%
Common
ValueCountFrequency (%)
& 3
75.0%
. 1
 
25.0%
Latin
ValueCountFrequency (%)
X 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
96.2%
ASCII 6
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 17
 
11.3%
헬 8
 
5.3%
드 7
 
4.7%
체 7
 
4.7%
구 6
 
4.0%
트 6
 
4.0%
레 5
 
3.3%
탁 5
 
3.3%
조 5
 
3.3%
밴 5
 
3.3%
Other values (50) 79
52.7%
ASCII
ValueCountFrequency (%)
& 3
50.0%
X 1
 
16.7%
. 1
 
16.7%
G 1
 
16.7%

장소
Text

Distinct26
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T02:45:23.208837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.4878049
Min length4

Characters and Unicode

Total characters348
Distinct characters95
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

Unique18 ?
Unique (%)43.9%

Sample

1st row수봉산숲길
2nd row경원초병설유치원
3rd row학익초병설유치원
4th row국민체육센터다목적체육관
5th row미추홀체육관
ValueCountFrequency (%)
국민체육센터다목적체육관 4
 
9.8%
미추홀노인복지관 4
 
9.8%
관교노인복지관 3
 
7.3%
풍림아이원커뮤니티센터 3
 
7.3%
주안스포츠문화센터 3
 
7.3%
염전골마을센터 2
 
4.9%
용현엑슬루타워 2
 
4.9%
숭의종합사회복지관 2
 
4.9%
애호일터 1
 
2.4%
수봉산숲길 1
 
2.4%
Other values (16) 16
39.0%
2023-12-13T02:45:23.973647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 19
 
5.5%
관 19
 
5.5%
센 18
 
5.2%
지 16
 
4.6%
복 15
 
4.3%
체 10
 
2.9%
육 10
 
2.9%
인 10
 
2.9%
노 8
 
2.3%
홀 7
 
2.0%
Other values (85) 216
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
98.6%
Decimal Number 5
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 19
 
5.5%
관 19
 
5.5%
센 18
 
5.2%
지 16
 
4.7%
복 15
 
4.4%
체 10
 
2.9%
육 10
 
2.9%
인 10
 
2.9%
노 8
 
2.3%
홀 7
 
2.0%
Other values (82) 211
61.5%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
2 2
40.0%
4 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
98.6%
Common 5
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 19
 
5.5%
관 19
 
5.5%
센 18
 
5.2%
지 16
 
4.7%
복 15
 
4.4%
체 10
 
2.9%
육 10
 
2.9%
인 10
 
2.9%
노 8
 
2.3%
홀 7
 
2.0%
Other values (82) 211
61.5%
Common
ValueCountFrequency (%)
3 2
40.0%
2 2
40.0%
4 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
98.6%
ASCII 5
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 19
 
5.5%
관 19
 
5.5%
센 18
 
5.2%
지 16
 
4.7%
복 15
 
4.4%
체 10
 
2.9%
육 10
 
2.9%
인 10
 
2.9%
노 8
 
2.3%
홀 7
 
2.0%
Other values (82) 211
61.5%
ASCII
ValueCountFrequency (%)
3 2
40.0%
2 2
40.0%
4 1
20.0%

도로명주소
Text

Distinct24
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T02:45:24.230269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length21.536585
Min length17

Characters and Unicode

Total characters883
Distinct characters58
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)36.6%

Sample

1st row인천광역시 미추홀구 수봉북로 35-44
2nd row인천광역시 미추홀구 경인로 511
3rd row인천광역시 미추홀구 한나루로 403번길 122
4th row인천광역시 미추홀구 경인로 42번길 57
5th row인천광역시 미추홀구 숙골로 38번길 111
ValueCountFrequency (%)
인천광역시 41
21.9%
미추홀구 41
21.9%
경인로 11
 
5.9%
42번길 5
 
2.7%
57 4
 
2.1%
학익소로 4
 
2.1%
37번길 4
 
2.1%
17 4
 
2.1%
34번길 3
 
1.6%
13-22 3
 
1.6%
Other values (44) 67
35.8%
2023-12-13T02:45:24.629211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
16.6%
인 54
 
6.1%
홀 47
 
5.3%
미 44
 
5.0%
추 44
 
5.0%
구 42
 
4.8%
광 41
 
4.6%
역 41
 
4.6%
시 41
 
4.6%
천 41
 
4.6%
Other values (48) 341
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 570
64.6%
Decimal Number 160
 
18.1%
Space Separator 147
 
16.6%
Dash Punctuation 5
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 54
 
9.5%
홀 47
 
8.2%
미 44
 
7.7%
추 44
 
7.7%
구 42
 
7.4%
광 41
 
7.2%
역 41
 
7.2%
시 41
 
7.2%
천 41
 
7.2%
로 39
 
6.8%
Other values (35) 136
23.9%
Decimal Number
ValueCountFrequency (%)
1 27
16.9%
4 27
16.9%
3 26
16.2%
2 25
15.6%
7 14
8.8%
5 13
8.1%
0 12
7.5%
6 8
 
5.0%
8 6
 
3.8%
9 2
 
1.2%
Space Separator
ValueCountFrequency (%)
147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 570
64.6%
Common 313
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 54
 
9.5%
홀 47
 
8.2%
미 44
 
7.7%
추 44
 
7.7%
구 42
 
7.4%
광 41
 
7.2%
역 41
 
7.2%
시 41
 
7.2%
천 41
 
7.2%
로 39
 
6.8%
Other values (35) 136
23.9%
Common
ValueCountFrequency (%)
147
47.0%
1 27
 
8.6%
4 27
 
8.6%
3 26
 
8.3%
2 25
 
8.0%
7 14
 
4.5%
5 13
 
4.2%
0 12
 
3.8%
6 8
 
2.6%
8 6
 
1.9%
Other values (3) 8
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 570
64.6%
ASCII 313
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
47.0%
1 27
 
8.6%
4 27
 
8.6%
3 26
 
8.3%
2 25
 
8.0%
7 14
 
4.5%
5 13
 
4.2%
0 12
 
3.8%
6 8
 
2.6%
8 6
 
1.9%
Other values (3) 8
 
2.6%
Hangul
ValueCountFrequency (%)
인 54
 
9.5%
홀 47
 
8.2%
미 44
 
7.7%
추 44
 
7.7%
구 42
 
7.4%
광 41
 
7.2%
역 41
 
7.2%
시 41
 
7.2%
천 41
 
7.2%
로 39
 
6.8%
Other values (35) 136
23.9%

전화번호
Categorical

Distinct10
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
032-429-3835
28 
032-421-2880
3 
032-863-9255
 
2
032-881-7242
 
2
032-728-6481
 
1
Other values (5)
5 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique6 ?
Unique (%)14.6%

Sample

1st row032-429-3835
2nd row032-429-3835
3rd row032-429-3835
4th row032-429-3835
5th row032-429-3835

Common Values

ValueCountFrequency (%)
032-429-3835 28
68.3%
032-421-2880 3
 
7.3%
032-863-9255 2
 
4.9%
032-881-7242 2
 
4.9%
032-728-6481 1
 
2.4%
032-728-6201 1
 
2.4%
032-881-4303 1
 
2.4%
032-728-6381 1
 
2.4%
032-865-9801 1
 
2.4%
032-728-9181 1
 
2.4%

Length

2023-12-13T02:45:24.763870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:45:24.898107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-429-3835 28
68.3%
032-421-2880 3
 
7.3%
032-863-9255 2
 
4.9%
032-881-7242 2
 
4.9%
032-728-6481 1
 
2.4%
032-728-6201 1
 
2.4%
032-881-4303 1
 
2.4%
032-728-6381 1
 
2.4%
032-865-9801 1
 
2.4%
032-728-9181 1
 
2.4%

위도
Real number (ℝ)

Distinct24
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.454699
Minimum37.439254
Maximum37.469375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T02:45:25.058132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.439254
5-th percentile37.439254
Q137.445077
median37.456661
Q337.461953
95-th percentile37.465973
Maximum37.469375
Range0.03012052
Interquartile range (IQR)0.01687541

Descriptive statistics

Standard deviation0.0092042091
Coefficient of variation (CV)0.00024574244
Kurtosis-1.1387624
Mean37.454699
Median Absolute Deviation (MAD)0.00637514
Skewness-0.4110642
Sum1535.6426
Variance8.4717466 × 10-5
MonotonicityNot monotonic
2023-12-13T02:45:25.186984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
37.46195279 4
 
9.8%
37.44507738 4
 
9.8%
37.43925399 3
 
7.3%
37.44042158 3
 
7.3%
37.46303566 3
 
7.3%
37.45666052 3
 
7.3%
37.46937451 2
 
4.9%
37.46067917 2
 
4.9%
37.45266782 2
 
4.9%
37.4630993 1
 
2.4%
Other values (14) 14
34.1%
ValueCountFrequency (%)
37.43925399 3
7.3%
37.44042158 3
7.3%
37.44373394 1
 
2.4%
37.44417922 1
 
2.4%
37.44507738 4
9.8%
37.44706316 1
 
2.4%
37.45266782 2
4.9%
37.45432792 1
 
2.4%
37.45512738 1
 
2.4%
37.45659257 1
 
2.4%
ValueCountFrequency (%)
37.46937451 2
4.9%
37.46597261 1
 
2.4%
37.4646099 1
 
2.4%
37.4630993 1
 
2.4%
37.46303566 3
7.3%
37.46288692 1
 
2.4%
37.46195279 4
9.8%
37.46136602 1
 
2.4%
37.46067917 2
4.9%
37.45957674 1
 
2.4%

경도
Real number (ℝ)

Distinct24
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66347
Minimum126.63802
Maximum126.69681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T02:45:25.315336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63802
5-th percentile126.63802
Q1126.64727
median126.66147
Q3126.67842
95-th percentile126.69602
Maximum126.69681
Range0.0587941
Interquartile range (IQR)0.0311508

Descriptive statistics

Standard deviation0.018866152
Coefficient of variation (CV)0.00014894706
Kurtosis-1.0779654
Mean126.66347
Median Absolute Deviation (MAD)0.0142008
Skewness0.39568024
Sum5193.2023
Variance0.0003559317
MonotonicityNot monotonic
2023-12-13T02:45:25.435644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.6494662 4
 
9.8%
126.6711736 4
 
9.8%
126.6960245 3
 
7.3%
126.6614703 3
 
7.3%
126.6472695 3
 
7.3%
126.6380152 3
 
7.3%
126.6794665 2
 
4.9%
126.645004 2
 
4.9%
126.6838771 2
 
4.9%
126.6642936 1
 
2.4%
Other values (14) 14
34.1%
ValueCountFrequency (%)
126.6380152 3
7.3%
126.6392566 1
 
2.4%
126.6411399 1
 
2.4%
126.6449826 1
 
2.4%
126.645004 2
4.9%
126.6472695 3
7.3%
126.6487577 1
 
2.4%
126.6494662 4
9.8%
126.6505014 1
 
2.4%
126.6519011 1
 
2.4%
ValueCountFrequency (%)
126.6968093 1
 
2.4%
126.6960245 3
7.3%
126.6957692 1
 
2.4%
126.6903025 1
 
2.4%
126.6838771 2
4.9%
126.6794665 2
4.9%
126.6784203 1
 
2.4%
126.6732294 1
 
2.4%
126.6723928 1
 
2.4%
126.6711736 4
9.8%

Interactions

2023-12-13T02:45:21.951300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:45:21.715896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:45:22.070056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:45:21.833448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:45:25.516317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목장소도로명주소전화번호위도경도
종목1.0000.4230.0000.0000.5970.000
장소0.4231.0001.0001.0000.9900.994
도로명주소0.0001.0001.0000.9850.9910.994
전화번호0.0001.0000.9851.0000.4570.857
위도0.5970.9900.9910.4571.0000.816
경도0.0000.9940.9940.8570.8161.000
2023-12-13T02:45:25.609276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도전화번호
위도1.000-0.3700.209
경도-0.3701.0000.424
전화번호0.2090.4241.000

Missing values

2023-12-13T02:45:22.216385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:45:22.360772image/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

종목장소도로명주소전화번호위도경도
0걷기수봉산숲길인천광역시 미추홀구 수봉북로 35-44032-429-383537.463099126.664294
1유아스포츠경원초병설유치원인천광역시 미추홀구 경인로 511032-429-383537.461366126.695769
2유아스포츠학익초병설유치원인천광역시 미추홀구 한나루로 403번길 122032-429-383537.447063126.658636
3배드민턴국민체육센터다목적체육관인천광역시 미추홀구 경인로 42번길 57032-429-383537.461953126.649466
4배드민턴미추홀체육관인천광역시 미추홀구 숙골로 38번길 111032-429-383537.465973126.673229
5근력운동관교노인복지관인천광역시 미추홀구 경원대로 628번길 30032-429-383537.439254126.696024
6밸런스볼염전골마을센터인천광역시 미추홀구 길파로 41번길 3032-429-383537.469375126.679467
7써킷트레이닝염전골마을센터인천광역시 미추홀구 길파로 41번길 3032-429-383537.469375126.679467
8에어로빅국민체육센터다목적체육관인천광역시 미추홀구 경인로 42번길 57032-429-383537.461953126.649466
9장애인탁구국민체육센터다목적체육관인천광역시 미추홀구 경인로 42번길 57032-429-383537.461953126.649466
종목장소도로명주소전화번호위도경도
31탁구주안스포츠문화센터인천광역시 미추홀구 미추홀대로614번길 13-22032-421-288037.452668126.683877
32보디빌딩&헬스용현엑슬루타워인천광역시 미추홀구 아암대로 29번길 16032-881-724237.456661126.638015
33G.X주안스포츠문화센터인천광역시 미추홀구 미추홀대로614번길 13-22032-421-288037.452668126.683877
34보디빌딩&헬스주안스포츠문화센터인천광역시 미추홀구 미추홀대로614번길 13-22032-421-288037.456661126.638015
35학교체육다함께돌봄센터3호점인천광역시 미추홀구 경인로 34번길 20032-881-430337.463036126.647269
36헬스주안4동행정복지센터인천광역시 미추홀구 구월남로 5032-728-638137.455127126.690303
37특수체육인천기계공업고등학교인천광역시 미추홀구 한나루로 545032-865-980137.456856126.668357
38헬스용현2동행정복지센터인천광역시 미추홀구 낙섬중로 101032-728-918137.456593126.64114
39홈요가미추홀구체육회인천광역시 미추홀구 경인로 42번길 31032-429-383537.462887126.648758
40요가용현엑슬루타워인천광역시 미추홀구 아암대로 29번길 16032-881-724237.456661126.638015