Overview

Dataset statistics

Number of variables6
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory55.5 B

Variable types

Text2
Numeric4

Dataset

Description인천광역시 미추홀구의 부설주차장 개방현황에 대한 데이터로 건물명, 도로명,위도,경도,개방주차면수 등의 정보를 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15080780&srcSe=7661IVAWM27C61E190

Alerts

전체주차면수 is highly overall correlated with 개방주차면수High correlation
개방주차면수 is highly overall correlated with 전체주차면수High correlation
건물명 has unique valuesUnique
도로명 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:45:31.985208
Analysis finished2024-04-06 09:45:34.938938
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건물명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-06T18:45:35.131457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.6315789
Min length4

Characters and Unicode

Total characters252
Distinct characters102
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

Unique38 ?
Unique (%)100.0%

Sample

1st row동인천교회
2nd row시온(감리)교회
3rd row성덕교회
4th row영락교회
5th row시온(감리)교회(인근지)
ValueCountFrequency (%)
한일순복음교회 2
 
4.7%
인근지 2
 
4.7%
보합교회 2
 
4.7%
동인천교회 1
 
2.3%
시온(감리)교회 1
 
2.3%
대학선교회 1
 
2.3%
용현동교회 1
 
2.3%
숭의동성당 1
 
2.3%
예손교회 1
 
2.3%
상수도사업본부 1
 
2.3%
Other values (30) 30
69.8%
2024-04-06T18:45:35.982728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 27
 
10.7%
회 24
 
9.5%
인 13
 
5.2%
지 9
 
3.6%
천 7
 
2.8%
학 6
 
2.4%
6
 
2.4%
동 4
 
1.6%
의 4
 
1.6%
광 4
 
1.6%
Other values (92) 148
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
95.2%
Space Separator 6
 
2.4%
Close Punctuation 3
 
1.2%
Open Punctuation 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 27
 
11.2%
회 24
 
10.0%
인 13
 
5.4%
지 9
 
3.8%
천 7
 
2.9%
학 6
 
2.5%
동 4
 
1.7%
의 4
 
1.7%
광 4
 
1.7%
복 4
 
1.7%
Other values (89) 138
57.5%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
95.2%
Common 12
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 27
 
11.2%
회 24
 
10.0%
인 13
 
5.4%
지 9
 
3.8%
천 7
 
2.9%
학 6
 
2.5%
동 4
 
1.7%
의 4
 
1.7%
광 4
 
1.7%
복 4
 
1.7%
Other values (89) 138
57.5%
Common
ValueCountFrequency (%)
6
50.0%
) 3
25.0%
( 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
95.2%
ASCII 12
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 27
 
11.2%
회 24
 
10.0%
인 13
 
5.4%
지 9
 
3.8%
천 7
 
2.9%
학 6
 
2.5%
동 4
 
1.7%
의 4
 
1.7%
광 4
 
1.7%
복 4
 
1.7%
Other values (89) 138
57.5%
ASCII
ValueCountFrequency (%)
6
50.0%
) 3
25.0%
( 3
25.0%

도로명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-06T18:45:36.369070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length20
Min length17

Characters and Unicode

Total characters760
Distinct characters59
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

Unique38 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 석정로 108-4
2nd row인천광역시 미추홀구 경인로78번길 7
3rd row인천광역시 미추홀구 한나루로478번길 55-13
4th row인천광역시 미추홀구 인하로 314
5th row인천광역시 미추홀구 숭의동 118-4
ValueCountFrequency (%)
인천광역시 38
25.0%
미추홀구 38
25.0%
인하로 3
 
2.0%
석정로 3
 
2.0%
17 2
 
1.3%
독정이로9번길 2
 
1.3%
7 2
 
1.3%
주안동 1
 
0.7%
42 1
 
0.7%
인주대로45번길 1
 
0.7%
Other values (61) 61
40.1%
2024-04-06T18:45:36.897826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
15.0%
인 48
 
6.3%
홀 41
 
5.4%
미 40
 
5.3%
추 40
 
5.3%
광 38
 
5.0%
역 38
 
5.0%
시 38
 
5.0%
구 38
 
5.0%
천 38
 
5.0%
Other values (49) 287
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 508
66.8%
Decimal Number 132
 
17.4%
Space Separator 114
 
15.0%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 48
9.4%
홀 41
 
8.1%
미 40
 
7.9%
추 40
 
7.9%
광 38
 
7.5%
역 38
 
7.5%
시 38
 
7.5%
구 38
 
7.5%
천 38
 
7.5%
로 32
 
6.3%
Other values (37) 117
23.0%
Decimal Number
ValueCountFrequency (%)
2 20
15.2%
4 16
12.1%
7 16
12.1%
1 16
12.1%
8 14
10.6%
3 14
10.6%
5 14
10.6%
9 13
9.8%
6 5
 
3.8%
0 4
 
3.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 508
66.8%
Common 252
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 48
9.4%
홀 41
 
8.1%
미 40
 
7.9%
추 40
 
7.9%
광 38
 
7.5%
역 38
 
7.5%
시 38
 
7.5%
구 38
 
7.5%
천 38
 
7.5%
로 32
 
6.3%
Other values (37) 117
23.0%
Common
ValueCountFrequency (%)
114
45.2%
2 20
 
7.9%
4 16
 
6.3%
7 16
 
6.3%
1 16
 
6.3%
8 14
 
5.6%
3 14
 
5.6%
5 14
 
5.6%
9 13
 
5.2%
- 6
 
2.4%
Other values (2) 9
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 508
66.8%
ASCII 252
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
45.2%
2 20
 
7.9%
4 16
 
6.3%
7 16
 
6.3%
1 16
 
6.3%
8 14
 
5.6%
3 14
 
5.6%
5 14
 
5.6%
9 13
 
5.2%
- 6
 
2.4%
Other values (2) 9
 
3.6%
Hangul
ValueCountFrequency (%)
인 48
9.4%
홀 41
 
8.1%
미 40
 
7.9%
추 40
 
7.9%
광 38
 
7.5%
역 38
 
7.5%
시 38
 
7.5%
구 38
 
7.5%
천 38
 
7.5%
로 32
 
6.3%
Other values (37) 117
23.0%

위도
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455859
Minimum37.438336
Maximum37.475287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T18:45:37.067358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.438336
5-th percentile37.439722
Q137.447757
median37.457024
Q337.46492
95-th percentile37.468932
Maximum37.475287
Range0.036951197
Interquartile range (IQR)0.017163112

Descriptive statistics

Standard deviation0.010276996
Coefficient of variation (CV)0.00027437619
Kurtosis-1.1036059
Mean37.455859
Median Absolute Deviation (MAD)0.00829612
Skewness-0.16363633
Sum1423.3226
Variance0.00010561664
MonotonicityNot monotonic
2024-04-06T18:45:37.294041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
37.46807132 1
 
2.6%
37.46341972 1
 
2.6%
37.47528703 1
 
2.6%
37.45136656 1
 
2.6%
37.45668862 1
 
2.6%
37.4603182727 1
 
2.6%
37.46289043 1
 
2.6%
37.46875843 1
 
2.6%
37.46932496 1
 
2.6%
37.46886321 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
37.4383358327 1
2.6%
37.43876817 1
2.6%
37.4398904 1
2.6%
37.44064958 1
2.6%
37.4413416313 1
2.6%
37.44250623 1
2.6%
37.4440901694 1
2.6%
37.44507738 1
2.6%
37.44514508 1
2.6%
37.44767709 1
2.6%
ValueCountFrequency (%)
37.47528703 1
2.6%
37.46932496 1
2.6%
37.46886321 1
2.6%
37.46875843 1
2.6%
37.4686146735 1
2.6%
37.46807132 1
2.6%
37.4655090445 1
2.6%
37.46539379 1
2.6%
37.46524698 1
2.6%
37.4651558962 1
2.6%

경도
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66328
Minimum126.63458
Maximum126.70152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T18:45:37.511378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63458
5-th percentile126.64236
Q1126.65104
median126.66008
Q3126.67603
95-th percentile126.68643
Maximum126.70152
Range0.066936
Interquartile range (IQR)0.02499085

Descriptive statistics

Standard deviation0.016156482
Coefficient of variation (CV)0.00012755458
Kurtosis-0.58912233
Mean126.66328
Median Absolute Deviation (MAD)0.01111165
Skewness0.41761506
Sum4813.2048
Variance0.00026103189
MonotonicityNot monotonic
2024-04-06T18:45:37.715785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
126.6474891 1
 
2.6%
126.6489503 1
 
2.6%
126.6592845 1
 
2.6%
126.6599793 1
 
2.6%
126.6438507 1
 
2.6%
126.6429074858 1
 
2.6%
126.6482429643 1
 
2.6%
126.6608213 1
 
2.6%
126.6601838 1
 
2.6%
126.6619823 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
126.6345827 1
2.6%
126.6392566 1
2.6%
126.6429074858 1
2.6%
126.6438507 1
2.6%
126.6474891 1
2.6%
126.6482429643 1
2.6%
126.6489503 1
2.6%
126.6495978323 1
2.6%
126.6509162 1
2.6%
126.6509834 1
2.6%
ValueCountFrequency (%)
126.7015187 1
2.6%
126.6940513159 1
2.6%
126.6850866 1
2.6%
126.6839526 1
2.6%
126.6829204 1
2.6%
126.6828332 1
2.6%
126.6819045 1
2.6%
126.6815193 1
2.6%
126.6765061 1
2.6%
126.6760780967 1
2.6%

전체주차면수
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.921053
Minimum5
Maximum1821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T18:45:37.917446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.7
Q113
median19
Q337.75
95-th percentile317.4
Maximum1821
Range1816
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation297.9604
Coefficient of variation (CV)3.2414816
Kurtosis32.82545
Mean91.921053
Median Absolute Deviation (MAD)7
Skewness5.5946074
Sum3493
Variance88780.399
MonotonicityNot monotonic
2024-04-06T18:45:38.096201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
18 4
 
10.5%
12 3
 
7.9%
13 3
 
7.9%
5 2
 
5.3%
31 2
 
5.3%
24 2
 
5.3%
7 2
 
5.3%
15 2
 
5.3%
25 2
 
5.3%
40 1
 
2.6%
Other values (15) 15
39.5%
ValueCountFrequency (%)
5 2
5.3%
7 2
5.3%
8 1
 
2.6%
12 3
7.9%
13 3
7.9%
14 1
 
2.6%
15 2
5.3%
16 1
 
2.6%
18 4
10.5%
20 1
 
2.6%
ValueCountFrequency (%)
1821 1
2.6%
365 1
2.6%
309 1
2.6%
144 1
2.6%
134 1
2.6%
64 1
2.6%
55 1
2.6%
50 1
2.6%
47 1
2.6%
40 1
2.6%

개방주차면수
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.131579
Minimum5
Maximum1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T18:45:38.380319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.7
Q113
median18
Q329.5
95-th percentile218.05
Maximum1013
Range1008
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation168.38617
Coefficient of variation (CV)2.8002951
Kurtosis29.510373
Mean60.131579
Median Absolute Deviation (MAD)6
Skewness5.2629484
Sum2285
Variance28353.901
MonotonicityNot monotonic
2024-04-06T18:45:38.578928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
12 4
 
10.5%
18 4
 
10.5%
40 3
 
7.9%
15 2
 
5.3%
7 2
 
5.3%
5 2
 
5.3%
25 2
 
5.3%
16 2
 
5.3%
24 2
 
5.3%
13 2
 
5.3%
Other values (12) 13
34.2%
ValueCountFrequency (%)
5 2
5.3%
7 2
5.3%
8 1
 
2.6%
12 4
10.5%
13 2
5.3%
14 1
 
2.6%
15 2
5.3%
16 2
5.3%
18 4
10.5%
20 2
5.3%
ValueCountFrequency (%)
1013 1
 
2.6%
309 1
 
2.6%
202 1
 
2.6%
76 1
 
2.6%
50 1
 
2.6%
47 1
 
2.6%
40 3
7.9%
31 1
 
2.6%
25 2
5.3%
24 2
5.3%

Interactions

2024-04-06T18:45:34.149657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:32.347074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:33.012449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:33.612493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:34.272830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:32.559165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:33.163532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:33.765991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:34.411749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:32.699882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:33.299639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:33.897295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:34.551001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:32.881594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:33.443979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:45:34.036641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:45:38.709201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물명도로명위도경도전체주차면수개방주차면수
건물명1.0001.0001.0001.0001.0001.000
도로명1.0001.0001.0001.0001.0001.000
위도1.0001.0001.0000.5960.4230.000
경도1.0001.0000.5961.0000.8280.807
전체주차면수1.0001.0000.4230.8281.0001.000
개방주차면수1.0001.0000.0000.8071.0001.000
2024-04-06T18:45:38.870022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도전체주차면수개방주차면수
위도1.000-0.4610.1210.027
경도-0.4611.0000.2570.313
전체주차면수0.1210.2571.0000.951
개방주차면수0.0270.3130.9511.000

Missing values

2024-04-06T18:45:34.709149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:45:34.877276image/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

건물명도로명위도경도전체주차면수개방주차면수
0동인천교회인천광역시 미추홀구 석정로 108-437.468071126.6474891212
1시온(감리)교회인천광역시 미추홀구 경인로78번길 737.465247126.6519421818
2성덕교회인천광역시 미추홀구 한나루로478번길 55-1337.449625126.6705472525
3영락교회인천광역시 미추홀구 인하로 31437.447677126.682921212
4시온(감리)교회(인근지)인천광역시 미추홀구 숭의동 118-437.465509126.6516241818
5한일순복음교회인천광역시 미추홀구 독정이로9번길 7037.457124126.6509161515
6인천신광교회인천광역시 미추홀구 미추홀대로598번길 7537.450581126.6839535050
7숭의가든인천광역시 미추홀구 경인로88번길 1037.465394126.6521392020
8무지개교회인천광역시 미추홀구 매소홀로488번길 1337.438768126.6765061212
9애광교회인천광역시 미추홀구 토금중로 737.45431126.6345831313
건물명도로명위도경도전체주차면수개방주차면수
28한국전력공사 제물포지사인천광역시 미추홀구 숙골로87번길 2737.469325126.66018413416
29청소년수련관인천광역시 미추홀구 경인로42번길 2337.46342126.648951818
30정부인천지방합동청사인천광역시 미추홀구 석정로 23937.468863126.661982365202
31경인지방식품의약품안전청인천광역시 미추홀구 주안로 13737.464214126.6850874747
32미추홀 노인복지관인천광역시 미추홀구 학익소로37번길 1737.445077126.6711742222
33인천광역시 노인복지회관인천광역시 미추홀구 능해길 2137.459577126.6392572323
34용정초등학교인천광역시 미추홀구 독정안길 2637.459437126.6572351515
35문학초등학교인천광역시 미추홀구 매소홀로 55337.43989126.6828332525
36남인천여자중학교인천광역시 미추홀구 인하로 42637.445145126.6940514040
37인천기계공고인천광역시 미추홀구 한나루로 54537.456856126.6683571414