Overview

Dataset statistics

Number of variables6
Number of observations55
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory54.4 B

Variable types

Numeric4
Text2

Dataset

Description미추홀구 내 산책로의 산명(권역명), 현황, 위치(소재지), 등산로명(또는 노선명), 거리에 관한 정보를 포함하여 안내합니다.
URLhttps://www.data.go.kr/data/15072009/fileData.do

Alerts

연번 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 연번High correlation
경도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:22:53.564790
Analysis finished2023-12-12 10:22:55.911164
Duration2.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T19:22:55.991356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q114.5
median28
Q341.5
95-th percentile52.3
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.02082
Coefficient of variation (CV)0.57217214
Kurtosis-1.2
Mean28
Median Absolute Deviation (MAD)14
Skewness0
Sum1540
Variance256.66667
MonotonicityStrictly increasing
2023-12-12T19:22:56.143261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
2 1
 
1.8%
31 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%
46 1
1.8%

위치
Text

Distinct38
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T19:22:56.391582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.9636364
Min length5

Characters and Unicode

Total characters383
Distinct characters50
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

Unique23 ?
Unique (%)41.8%

Sample

1st row도화초등학교
2nd row인천광역시대중예술고등학교
3rd row선인고등학교
4th row선인고등학교
5th row선인고등학교
ValueCountFrequency (%)
선인고등학교 3
 
5.5%
대화초등학교 3
 
5.5%
선인중학교 2
 
3.6%
제물포여중 2
 
3.6%
서화초등학교 2
 
3.6%
인주초등학교 2
 
3.6%
학익고등학교 2
 
3.6%
숭의초등학교 2
 
3.6%
남부초등학교 2
 
3.6%
인천광역시기계공업고교 2
 
3.6%
Other values (28) 33
60.0%
2023-12-12T19:22:56.807727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 58
15.1%
교 57
14.9%
등 35
 
9.1%
인 23
 
6.0%
초 22
 
5.7%
중 18
 
4.7%
고 16
 
4.2%
천 10
 
2.6%
시 10
 
2.6%
화 10
 
2.6%
Other values (40) 124
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
99.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 58
15.2%
교 57
14.9%
등 35
 
9.2%
인 23
 
6.0%
초 22
 
5.8%
중 18
 
4.7%
고 16
 
4.2%
천 10
 
2.6%
시 10
 
2.6%
화 10
 
2.6%
Other values (39) 123
32.2%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
99.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 58
15.2%
교 57
14.9%
등 35
 
9.2%
인 23
 
6.0%
초 22
 
5.8%
중 18
 
4.7%
고 16
 
4.2%
천 10
 
2.6%
시 10
 
2.6%
화 10
 
2.6%
Other values (39) 123
32.2%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 58
15.2%
교 57
14.9%
등 35
 
9.2%
인 23
 
6.0%
초 22
 
5.8%
중 18
 
4.7%
고 16
 
4.2%
천 10
 
2.6%
시 10
 
2.6%
화 10
 
2.6%
Other values (39) 123
32.2%
ASCII
ValueCountFrequency (%)
, 1
100.0%

도로명주소
Text

Distinct31
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T19:22:57.087490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.072727
Min length17

Characters and Unicode

Total characters1104
Distinct characters51
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

Unique18 ?
Unique (%)32.7%

Sample

1st row인천광역시 미추홀구 경인로 242
2nd row인천광역시 미추홀구 석정로 165
3rd row인천광역시 미추홀구 석정로 165
4th row인천광역시 미추홀구 석정로 165
5th row인천광역시 미추홀구 석정로 165
ValueCountFrequency (%)
인천광역시 55
25.0%
미추홀구 55
25.0%
석정로 12
 
5.5%
165 12
 
5.5%
매소홀로 6
 
2.7%
경원대로 3
 
1.4%
석정로301번길 3
 
1.4%
13 3
 
1.4%
낙섬동로 3
 
1.4%
20 3
 
1.4%
Other values (45) 65
29.5%
2023-12-12T19:22:57.552198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
15.3%
홀 65
 
5.9%
인 62
 
5.6%
천 57
 
5.2%
광 55
 
5.0%
역 55
 
5.0%
시 55
 
5.0%
미 55
 
5.0%
추 55
 
5.0%
구 55
 
5.0%
Other values (41) 421
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 729
66.0%
Decimal Number 202
 
18.3%
Space Separator 169
 
15.3%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 65
8.9%
인 62
 
8.5%
천 57
 
7.8%
광 55
 
7.5%
역 55
 
7.5%
시 55
 
7.5%
미 55
 
7.5%
추 55
 
7.5%
구 55
 
7.5%
로 53
 
7.3%
Other values (29) 162
22.2%
Decimal Number
ValueCountFrequency (%)
5 35
17.3%
1 31
15.3%
3 28
13.9%
6 26
12.9%
2 25
12.4%
4 17
8.4%
0 15
7.4%
9 10
 
5.0%
8 8
 
4.0%
7 7
 
3.5%
Space Separator
ValueCountFrequency (%)
169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 729
66.0%
Common 375
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 65
8.9%
인 62
 
8.5%
천 57
 
7.8%
광 55
 
7.5%
역 55
 
7.5%
시 55
 
7.5%
미 55
 
7.5%
추 55
 
7.5%
구 55
 
7.5%
로 53
 
7.3%
Other values (29) 162
22.2%
Common
ValueCountFrequency (%)
169
45.1%
5 35
 
9.3%
1 31
 
8.3%
3 28
 
7.5%
6 26
 
6.9%
2 25
 
6.7%
4 17
 
4.5%
0 15
 
4.0%
9 10
 
2.7%
8 8
 
2.1%
Other values (2) 11
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 729
66.0%
ASCII 375
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
45.1%
5 35
 
9.3%
1 31
 
8.3%
3 28
 
7.5%
6 26
 
6.9%
2 25
 
6.7%
4 17
 
4.5%
0 15
 
4.0%
9 10
 
2.7%
8 8
 
2.1%
Other values (2) 11
 
2.9%
Hangul
ValueCountFrequency (%)
홀 65
8.9%
인 62
 
8.5%
천 57
 
7.8%
광 55
 
7.5%
역 55
 
7.5%
시 55
 
7.5%
미 55
 
7.5%
추 55
 
7.5%
구 55
 
7.5%
로 53
 
7.3%
Other values (29) 162
22.2%

면적(제곱미터)
Real number (ℝ)

Distinct51
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean898.61818
Minimum124
Maximum2721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T19:22:57.749711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124
5-th percentile172.2
Q1470.5
median725
Q31200
95-th percentile2363.7
Maximum2721
Range2597
Interquartile range (IQR)729.5

Descriptive statistics

Standard deviation634.33793
Coefficient of variation (CV)0.70590374
Kurtosis1.6660194
Mean898.61818
Median Absolute Deviation (MAD)325
Skewness1.3765026
Sum49424
Variance402384.61
MonotonicityNot monotonic
2023-12-12T19:22:57.905802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
950 2
 
3.6%
400 2
 
3.6%
700 2
 
3.6%
1200 2
 
3.6%
415 1
 
1.8%
1064 1
 
1.8%
1092 1
 
1.8%
130 1
 
1.8%
350 1
 
1.8%
240 1
 
1.8%
Other values (41) 41
74.5%
ValueCountFrequency (%)
124 1
1.8%
130 1
1.8%
154 1
1.8%
180 1
1.8%
200 1
1.8%
240 1
1.8%
300 1
1.8%
350 1
1.8%
370 1
1.8%
391 1
1.8%
ValueCountFrequency (%)
2721 1
1.8%
2681 1
1.8%
2559 1
1.8%
2280 1
1.8%
2050 1
1.8%
1900 1
1.8%
1440 1
1.8%
1394 1
1.8%
1370 1
1.8%
1365 1
1.8%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455993
Minimum37.435491
Maximum37.473986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T19:22:58.050429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.435491
5-th percentile37.438998
Q137.444257
median37.452959
Q337.471489
95-th percentile37.473961
Maximum37.473986
Range0.03849493
Interquartile range (IQR)0.02723227

Descriptive statistics

Standard deviation0.013294296
Coefficient of variation (CV)0.00035493109
Kurtosis-1.523276
Mean37.455993
Median Absolute Deviation (MAD)0.01056895
Skewness0.23882422
Sum2060.0796
Variance0.00017673832
MonotonicityNot monotonic
2023-12-12T19:22:58.220351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
37.47395988 11
20.0%
37.46901872 3
 
5.5%
37.44238998 2
 
3.6%
37.47398641 2
 
3.6%
37.46371972 2
 
3.6%
37.442798 2
 
3.6%
37.4398904 2
 
3.6%
37.43903057 2
 
3.6%
37.44425703 2
 
3.6%
37.44914564 2
 
3.6%
Other values (22) 25
45.5%
ValueCountFrequency (%)
37.43549148 1
1.8%
37.43866722 1
1.8%
37.43892166 1
1.8%
37.43903057 2
3.6%
37.4398904 2
3.6%
37.44238998 2
3.6%
37.442798 2
3.6%
37.44356467 1
1.8%
37.44381933 1
1.8%
37.44425703 2
3.6%
ValueCountFrequency (%)
37.47398641 2
 
3.6%
37.4739644136398 1
 
1.8%
37.47395988 11
20.0%
37.46901872 3
 
5.5%
37.46379213 1
 
1.8%
37.46371972 2
 
3.6%
37.46314321 1
 
1.8%
37.46235 1
 
1.8%
37.45685643 2
 
3.6%
37.45465257 1
 
1.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66624
Minimum126.63955
Maximum126.69405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T19:22:58.390148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63955
5-th percentile126.64079
Q1126.652
median126.66683
Q3126.67587
95-th percentile126.69145
Maximum126.69405
Range0.0545035
Interquartile range (IQR)0.0238742

Descriptive statistics

Standard deviation0.015702296
Coefficient of variation (CV)0.00012396591
Kurtosis-1.0287107
Mean126.66624
Median Absolute Deviation (MAD)0.0148314
Skewness0.16700943
Sum6966.6431
Variance0.0002465621
MonotonicityNot monotonic
2023-12-12T19:22:58.559444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
126.6519987 11
20.0%
126.6685307 3
 
5.5%
126.6737257 2
 
3.6%
126.6608141 2
 
3.6%
126.6557067 2
 
3.6%
126.6598715 2
 
3.6%
126.6828332 2
 
3.6%
126.6633844 2
 
3.6%
126.6917774 2
 
3.6%
126.6882045 2
 
3.6%
Other values (22) 25
45.5%
ValueCountFrequency (%)
126.6395478 1
 
1.8%
126.6406704 1
 
1.8%
126.6407581 1
 
1.8%
126.6408079 1
 
1.8%
126.64196 1
 
1.8%
126.651978806147 1
 
1.8%
126.6519987 11
20.0%
126.6539999 1
 
1.8%
126.6557067 2
 
3.6%
126.6598715 2
 
3.6%
ValueCountFrequency (%)
126.6940513 1
1.8%
126.6917774 2
3.6%
126.6913054 2
3.6%
126.6889705 1
1.8%
126.6882045 2
3.6%
126.6867275 1
1.8%
126.6866821 1
1.8%
126.6850024 1
1.8%
126.6828332 2
3.6%
126.6758729 2
3.6%

Interactions

2023-12-12T19:22:55.305435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:53.846356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:54.328465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:54.788506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:55.404675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:53.969755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:54.451207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:54.919261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:55.505482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:54.081103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:54.554862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:55.027714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:55.624510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:54.217321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:54.687205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:22:55.178921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:22:58.697425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위치도로명주소면적(제곱미터)위도경도
연번1.0000.9860.9500.2650.8910.732
위치0.9861.0001.0000.7321.0001.000
도로명주소0.9501.0001.0000.0001.0001.000
면적(제곱미터)0.2650.7320.0001.0000.5750.197
위도0.8911.0001.0000.5751.0000.771
경도0.7321.0001.0000.1970.7711.000
2023-12-12T19:22:58.821807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)위도경도
연번1.000-0.295-0.7880.589
면적(제곱미터)-0.2951.0000.285-0.122
위도-0.7880.2851.000-0.473
경도0.589-0.122-0.4731.000

Missing values

2023-12-12T19:22:55.754795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:22:55.865848image/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

연번위치도로명주소면적(제곱미터)위도경도
01도화초등학교인천광역시 미추홀구 경인로 24241537.463143126.667845
12인천광역시대중예술고등학교인천광역시 미추홀구 석정로 165205037.47396126.651999
23선인고등학교인천광역시 미추홀구 석정로 16537037.47396126.651999
34선인고등학교인천광역시 미추홀구 석정로 16586837.47396126.651999
45선인고등학교인천광역시 미추홀구 석정로 165255937.47396126.651999
56선인중학교인천광역시 미추홀구 석정로 165122537.47396126.651999
67선인중학교인천광역시 미추홀구 석정로 165129037.47396126.651999
78선화여자중학교인천광역시 미추홀구 석정로 16570037.47396126.651999
89선화여자중학교인천광역시 미추홀구 석정로 16568837.47396126.651999
910대화초등학교인천광역시 미추홀구 석정로301번길 13272137.469019126.668531
연번위치도로명주소면적(제곱미터)위도경도
4546연학초등학교인천광역시 미추홀구 주승로 2075037.443565126.671917
4647인하사대부속중학교인천광역시 미추홀구 재넘이길123번길 2981737.445966126.662866
4748남인천광역시여중,관교초교인천광역시 미추홀구 인하로 42668037.445118126.694051
4849관교여자중학교인천광역시 미추홀구 경원대로 69120037.445136126.68897
4950관교중학교인천광역시 미추홀구 경원대로670번길 19121137.444257126.691777
5051관교중학교인천광역시 미추홀구 경원대로670번길 1930037.444257126.691777
5152문학정보고등학교인천광역시 미추홀구 소성로350번길 29137037.435491126.686682
5253문학초등학교인천광역시 미추홀구 매소홀로 553268137.43989126.682833
5354문학초등학교인천광역시 미추홀구 매소홀로 55339137.43989126.682833
5455인화여자중학교인천광역시 미추홀구 석정로 16550037.473964126.651979