Overview

Dataset statistics

Number of variables6
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory55.0 B

Variable types

Categorical1
Text2
Numeric3

Dataset

Description인천광역시 미추홀구의 녹지현황에 대한 데이터로 유형, 명칭, 도로명주소, 면적(제곱미터) , 좌표값 등의 항목을 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086859&srcSe=7661IVAWM27C61E190

Alerts

위도 is highly overall correlated with 유형High correlation
유형 is highly overall correlated with 위도High correlation
도로명주소 has unique valuesUnique
면적(제곱미터) has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-28 10:20:48.247862
Analysis finished2024-01-28 10:20:49.356486
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
완충녹지
20 
연결녹지
8 
경관녹지
5 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row완충녹지
2nd row완충녹지
3rd row완충녹지
4th row완충녹지
5th row완충녹지

Common Values

ValueCountFrequency (%)
완충녹지 20
60.6%
연결녹지 8
 
24.2%
경관녹지 5
 
15.2%

Length

2024-01-28T19:20:49.402615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T19:20:49.476309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완충녹지 20
60.6%
연결녹지 8
 
24.2%
경관녹지 5
 
15.2%

명칭
Text

Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-01-28T19:20:49.630485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.030303
Min length4

Characters and Unicode

Total characters232
Distinct characters33
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

Unique25 ?
Unique (%)75.8%

Sample

1st row관교녹지
2nd row문학1녹지
3rd row문학2녹지
4th row문학3녹지
5th row학익1녹지
ValueCountFrequency (%)
도화녹지1호 2
 
6.1%
도화녹지3호 2
 
6.1%
도화녹지2호 2
 
6.1%
도화녹지4호 2
 
6.1%
관교녹지 1
 
3.0%
인주대로2 1
 
3.0%
인주대로1 1
 
3.0%
용현학익7 1
 
3.0%
도화녹지 1
 
3.0%
문학7녹지 1
 
3.0%
Other values (19) 19
57.6%
2024-01-28T19:20:49.905029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 31
13.4%
녹 29
 
12.5%
학 17
 
7.3%
호 15
 
6.5%
1 12
 
5.2%
도 11
 
4.7%
화 11
 
4.7%
익 10
 
4.3%
2 10
 
4.3%
현 9
 
3.9%
Other values (23) 77
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
77.6%
Decimal Number 41
 
17.7%
Dash Punctuation 6
 
2.6%
Space Separator 5
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 31
17.2%
녹 29
16.1%
학 17
9.4%
호 15
8.3%
도 11
 
6.1%
화 11
 
6.1%
익 10
 
5.6%
현 9
 
5.0%
용 9
 
5.0%
문 7
 
3.9%
Other values (13) 31
17.2%
Decimal Number
ValueCountFrequency (%)
1 12
29.3%
2 10
24.4%
3 6
14.6%
4 5
12.2%
5 3
 
7.3%
6 2
 
4.9%
7 2
 
4.9%
8 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
77.6%
Common 52
 
22.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 31
17.2%
녹 29
16.1%
학 17
9.4%
호 15
8.3%
도 11
 
6.1%
화 11
 
6.1%
익 10
 
5.6%
현 9
 
5.0%
용 9
 
5.0%
문 7
 
3.9%
Other values (13) 31
17.2%
Common
ValueCountFrequency (%)
1 12
23.1%
2 10
19.2%
3 6
11.5%
- 6
11.5%
4 5
9.6%
5
9.6%
5 3
 
5.8%
6 2
 
3.8%
7 2
 
3.8%
8 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
77.6%
ASCII 52
 
22.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 31
17.2%
녹 29
16.1%
학 17
9.4%
호 15
8.3%
도 11
 
6.1%
화 11
 
6.1%
익 10
 
5.6%
현 9
 
5.0%
용 9
 
5.0%
문 7
 
3.9%
Other values (13) 31
17.2%
ASCII
ValueCountFrequency (%)
1 12
23.1%
2 10
19.2%
3 6
11.5%
- 6
11.5%
4 5
9.6%
5
9.6%
5 3
 
5.8%
6 2
 
3.8%
7 2
 
3.8%
8 1
 
1.9%

도로명주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-01-28T19:20:50.074965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length23.575758
Min length19

Characters and Unicode

Total characters778
Distinct characters59
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 관교동481-9 일원
2nd row인천광역시 미추홀구 문학동328-7
3rd row인천광역시 미추홀구 문학동329-8
4th row인천광역시 미추홀구 문학동350-1
5th row인천광역시 미추홀구 학익동711-1 일원
ValueCountFrequency (%)
인천광역시 34
30.1%
미추홀구 34
30.1%
일원 7
 
6.2%
주안동 3
 
2.7%
1557-76 1
 
0.9%
도화동1003-1 1
 
0.9%
도화동1008-1,1010-1,1010-3 1
 
0.9%
도화동985-6,985-7,985-8 1
 
0.9%
문학동333-2 1
 
0.9%
문학동343-4 1
 
0.9%
Other values (29) 29
25.7%
2024-01-28T19:20:50.357517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
10.3%
- 38
 
4.9%
인 34
 
4.4%
광 34
 
4.4%
역 34
 
4.4%
시 34
 
4.4%
미 34
 
4.4%
추 34
 
4.4%
홀 34
 
4.4%
구 34
 
4.4%
Other values (49) 388
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
58.7%
Decimal Number 184
23.7%
Space Separator 80
 
10.3%
Dash Punctuation 38
 
4.9%
Other Punctuation 9
 
1.2%
Close Punctuation 5
 
0.6%
Open Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 34
 
7.4%
광 34
 
7.4%
역 34
 
7.4%
시 34
 
7.4%
미 34
 
7.4%
추 34
 
7.4%
홀 34
 
7.4%
구 34
 
7.4%
천 34
 
7.4%
동 33
 
7.2%
Other values (34) 118
25.8%
Decimal Number
ValueCountFrequency (%)
1 29
15.8%
3 22
12.0%
0 21
11.4%
5 19
10.3%
9 18
9.8%
4 18
9.8%
7 17
9.2%
6 17
9.2%
8 13
7.1%
2 10
 
5.4%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
58.7%
Common 321
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 34
 
7.4%
광 34
 
7.4%
역 34
 
7.4%
시 34
 
7.4%
미 34
 
7.4%
추 34
 
7.4%
홀 34
 
7.4%
구 34
 
7.4%
천 34
 
7.4%
동 33
 
7.2%
Other values (34) 118
25.8%
Common
ValueCountFrequency (%)
80
24.9%
- 38
11.8%
1 29
 
9.0%
3 22
 
6.9%
0 21
 
6.5%
5 19
 
5.9%
9 18
 
5.6%
4 18
 
5.6%
7 17
 
5.3%
6 17
 
5.3%
Other values (5) 42
13.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
58.7%
ASCII 321
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
24.9%
- 38
11.8%
1 29
 
9.0%
3 22
 
6.9%
0 21
 
6.5%
5 19
 
5.9%
9 18
 
5.6%
4 18
 
5.6%
7 17
 
5.3%
6 17
 
5.3%
Other values (5) 42
13.1%
Hangul
ValueCountFrequency (%)
인 34
 
7.4%
광 34
 
7.4%
역 34
 
7.4%
시 34
 
7.4%
미 34
 
7.4%
추 34
 
7.4%
홀 34
 
7.4%
구 34
 
7.4%
천 34
 
7.4%
동 33
 
7.2%
Other values (34) 118
25.8%

면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3847.1273
Minimum43.2
Maximum34815.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-01-28T19:20:50.454911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.2
5-th percentile110.4
Q11104.8
median2118.8
Q34179.9
95-th percentile8623.08
Maximum34815.6
Range34772.4
Interquartile range (IQR)3075.1

Descriptive statistics

Standard deviation6075.4272
Coefficient of variation (CV)1.5792114
Kurtosis22.232995
Mean3847.1273
Median Absolute Deviation (MAD)1500.1
Skewness4.3960885
Sum126955.2
Variance36910816
MonotonicityNot monotonic
2024-01-28T19:20:50.567014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
6928.3 1
 
3.0%
1771.0 1
 
3.0%
2251.5 1
 
3.0%
364.0 1
 
3.0%
43.2 1
 
3.0%
127.4 1
 
3.0%
84.9 1
 
3.0%
455.2 1
 
3.0%
7483.5 1
 
3.0%
1455.1 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
43.2 1
3.0%
84.9 1
3.0%
127.4 1
3.0%
364.0 1
3.0%
455.2 1
3.0%
618.7 1
3.0%
858.2 1
3.0%
1001.0 1
3.0%
1104.8 1
3.0%
1455.1 1
3.0%
ValueCountFrequency (%)
34815.6 1
3.0%
9531.0 1
3.0%
8017.8 1
3.0%
7483.5 1
3.0%
6928.3 1
3.0%
6683.6 1
3.0%
4494.5 1
3.0%
4191.7 1
3.0%
4179.9 1
3.0%
3737.3 1
3.0%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.454225
Minimum37.433981
Maximum37.478413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-01-28T19:20:50.669032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.433981
5-th percentile37.436785
Q137.442253
median37.449379
Q337.472461
95-th percentile37.476746
Maximum37.478413
Range0.044432
Interquartile range (IQR)0.0302078

Descriptive statistics

Standard deviation0.015165841
Coefficient of variation (CV)0.00040491671
Kurtosis-1.4321984
Mean37.454225
Median Absolute Deviation (MAD)0.0091557
Skewness0.48305391
Sum1235.9894
Variance0.00023000274
MonotonicityNot monotonic
2024-01-28T19:20:50.771502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
37.4433269 1
 
3.0%
37.4671329 1
 
3.0%
37.4772834 1
 
3.0%
37.4407204 1
 
3.0%
37.4402238 1
 
3.0%
37.4349807 1
 
3.0%
37.4339812 1
 
3.0%
37.4743794 1
 
3.0%
37.4739749 1
 
3.0%
37.4412113 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
37.4339812 1
3.0%
37.4349807 1
3.0%
37.4379881 1
3.0%
37.4384511 1
3.0%
37.4401471 1
3.0%
37.4402238 1
3.0%
37.4407204 1
3.0%
37.4412113 1
3.0%
37.4422532 1
3.0%
37.4426946 1
3.0%
ValueCountFrequency (%)
37.4784132 1
3.0%
37.4772834 1
3.0%
37.476388 1
3.0%
37.4754136 1
3.0%
37.4753496 1
3.0%
37.4743794 1
3.0%
37.4742092 1
3.0%
37.4739749 1
3.0%
37.472461 1
3.0%
37.4709133 1
3.0%

경도
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.8549
Minimum37.467133
Maximum126.69187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-01-28T19:20:50.866457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.467133
5-th percentile37.472891
Q1126.6478
median126.65922
Q3126.6786
95-th percentile126.69157
Maximum126.69187
Range89.224737
Interquartile range (IQR)0.030795

Descriptive statistics

Standard deviation29.561892
Coefficient of variation (CV)0.25516307
Kurtosis4.1699629
Mean115.8549
Median Absolute Deviation (MAD)0.016356
Skewness-2.4332181
Sum3823.2117
Variance873.90547
MonotonicityNot monotonic
2024-01-28T19:20:50.952523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
126.691425 1
 
3.0%
37.4671329 1
 
3.0%
37.4772834 1
 
3.0%
126.680328 1
 
3.0%
126.683246 1
 
3.0%
126.686895 1
 
3.0%
126.687125 1
 
3.0%
126.660141 1
 
3.0%
126.663602 1
 
3.0%
126.678597 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
37.4671329 1
3.0%
37.4709133 1
3.0%
37.4742092 1
3.0%
37.4772834 1
3.0%
126.642591 1
3.0%
126.642862 1
3.0%
126.646296 1
3.0%
126.646619 1
3.0%
126.647802 1
3.0%
126.649571 1
3.0%
ValueCountFrequency (%)
126.6918698 1
3.0%
126.6917905 1
3.0%
126.691425 1
3.0%
126.6904286 1
3.0%
126.687125 1
3.0%
126.686895 1
3.0%
126.683246 1
3.0%
126.680328 1
3.0%
126.678597 1
3.0%
126.678252 1
3.0%

Interactions

2024-01-28T19:20:48.808629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:20:48.443372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:20:48.634027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:20:49.118060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:20:48.512175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:20:48.698433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:20:49.173735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:20:48.575553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:20:48.753523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T19:20:51.015458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형명칭도로명주소면적(제곱미터)위도경도
유형1.0000.0001.0000.0000.7020.015
명칭0.0001.0001.0000.7030.0000.000
도로명주소1.0001.0001.0001.0001.0001.000
면적(제곱미터)0.0000.7031.0001.0000.7320.000
위도0.7020.0001.0000.7321.0000.691
경도0.0150.0001.0000.0000.6911.000
2024-01-28T19:20:51.090935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)위도경도유형
면적(제곱미터)1.0000.184-0.4390.000
위도0.1841.000-0.3070.533
경도-0.439-0.3071.0000.000
유형0.0000.5330.0001.000

Missing values

2024-01-28T19:20:49.246594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:20:49.323260image/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

유형명칭도로명주소면적(제곱미터)위도경도
0완충녹지관교녹지인천광역시 미추홀구 관교동481-9 일원6928.337.443327126.691425
1완충녹지문학1녹지인천광역시 미추홀구 문학동328-71455.137.441211126.678597
2완충녹지문학2녹지인천광역시 미추홀구 문학동329-81104.837.440147126.678252
3완충녹지문학3녹지인천광역시 미추홀구 문학동350-12032.537.438451126.677479
4완충녹지학익1녹지인천광역시 미추홀구 학익동711-1 일원9531.037.437988126.654035
5완충녹지용현8-1구역녹지인천광역시 미추홀구 학익동720-4 일원6683.637.44673126.651712
6완충녹지학익지구주택지사업녹지인천광역시 미추홀구 학익동721-2,4(풍림단지앞)4494.537.442253126.658264
7완충녹지용현학익3녹지인천광역시 미추홀구 학익동732-4(액슬루타워단지앞)2118.837.442695126.658228
8완충녹지용현학익4녹지인천광역시 미추홀구 학익동733,734,737(두산위브단지앞)3560.737.443326126.6554
9완충녹지용현학익2-1블럭녹지1호인천광역시 미추홀구 용현5동666-1번지 일원3170.737.446946126.642591
유형명칭도로명주소면적(제곱미터)위도경도
23경관녹지문학7녹지인천광역시 미추홀구 문학동405-884.937.433981126.687125
24경관녹지도화녹지인천광역시 미추홀구 도화동1003-1455.237.474379126.660141
25연결녹지도화녹지1호인천광역시 미추홀구 도화동100-31771.037.46713337.467133
26연결녹지도화녹지2호인천광역시 미추홀구 도화동1004-17483.537.473975126.663602
27연결녹지도화녹지3호인천광역시 미추홀구 도화동1009-14179.937.472461126.666684
28연결녹지도화녹지4호인천광역시 미추홀구 도화동1007-44191.737.47091337.470913
29연결녹지용현학익7인천광역시 미추홀구 학익동744-13(아이그린 부근)2003.537.443372126.646619
30연결녹지인주대로1인천광역시 미추홀구 주안동 1556-102433.437.454157126.69179
31연결녹지인주대로2인천광역시 미추홀구 주안동 1557-761765.137.452702126.69187
32연결녹지인주대로3인천광역시 미추홀구 주안동 1559-3858.237.452237126.690429