Overview

Dataset statistics

Number of variables6
Number of observations31
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory54.3 B

Variable types

Numeric2
Categorical1
Text3

Dataset

Description인천광역시 남동구 광장쉼터현황에 대한 데이터로 연번, 종류, 명칭, 소재지주소, 면적, 주요시설 항목을 개방합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15067716&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 면적(제곱미터) and 1 other fieldsHigh correlation
면적(제곱미터) is highly overall correlated with 연번 and 1 other fieldsHigh correlation
종류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
주요시설 has 1 (3.2%) missing valuesMissing
연번 has unique valuesUnique
명칭 has unique valuesUnique
소재지주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:13:18.652327
Analysis finished2024-01-28 05:13:19.506169
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-28T14:13:19.593772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-01-28T14:13:19.800364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
쉼터
17 
광장
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
쉼터 17
54.8%
광장 14
45.2%

Length

2024-01-28T14:13:20.014709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:13:20.169921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쉼터 17
54.8%
광장 14
45.2%

명칭
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-28T14:13:20.395857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.1290323
Min length5

Characters and Unicode

Total characters221
Distinct characters60
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

Unique31 ?
Unique (%)100.0%

Sample

1st row구월광장 1호
2nd row구월광장 2호
3rd row구월광장 3호
4th row구월광장 4호
5th row선수촌광장 1호
ValueCountFrequency (%)
쉼터 14
23.0%
논현광장 6
 
9.8%
구월광장 4
 
6.6%
2호 3
 
4.9%
3호 3
 
4.9%
1호 3
 
4.9%
선수촌광장 3
 
4.9%
도림동 2
 
3.3%
남촌동 2
 
3.3%
4호 2
 
3.3%
Other values (19) 19
31.1%
2024-01-28T14:13:20.807068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
14.0%
터 18
 
8.1%
쉼 17
 
7.7%
장 16
 
7.2%
광 14
 
6.3%
호 13
 
5.9%
동 7
 
3.2%
현 6
 
2.7%
논 6
 
2.7%
촌 6
 
2.7%
Other values (50) 87
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
75.1%
Space Separator 31
 
14.0%
Decimal Number 22
 
10.0%
Dash Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 18
 
10.8%
쉼 17
 
10.2%
장 16
 
9.6%
광 14
 
8.4%
호 13
 
7.8%
동 7
 
4.2%
현 6
 
3.6%
논 6
 
3.6%
촌 6
 
3.6%
수 6
 
3.6%
Other values (41) 57
34.3%
Decimal Number
ValueCountFrequency (%)
2 6
27.3%
1 5
22.7%
4 4
18.2%
3 3
13.6%
5 2
 
9.1%
0 1
 
4.5%
6 1
 
4.5%
Space Separator
ValueCountFrequency (%)
31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
75.1%
Common 55
 
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 18
 
10.8%
쉼 17
 
10.2%
장 16
 
9.6%
광 14
 
8.4%
호 13
 
7.8%
동 7
 
4.2%
현 6
 
3.6%
논 6
 
3.6%
촌 6
 
3.6%
수 6
 
3.6%
Other values (41) 57
34.3%
Common
ValueCountFrequency (%)
31
56.4%
2 6
 
10.9%
1 5
 
9.1%
4 4
 
7.3%
3 3
 
5.5%
- 2
 
3.6%
5 2
 
3.6%
0 1
 
1.8%
6 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
75.1%
ASCII 55
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
56.4%
2 6
 
10.9%
1 5
 
9.1%
4 4
 
7.3%
3 3
 
5.5%
- 2
 
3.6%
5 2
 
3.6%
0 1
 
1.8%
6 1
 
1.8%
Hangul
ValueCountFrequency (%)
터 18
 
10.8%
쉼 17
 
10.2%
장 16
 
9.6%
광 14
 
8.4%
호 13
 
7.8%
동 7
 
4.2%
현 6
 
3.6%
논 6
 
3.6%
촌 6
 
3.6%
수 6
 
3.6%
Other values (41) 57
34.3%

소재지주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-28T14:13:21.055558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length19.032258
Min length17

Characters and Unicode

Total characters590
Distinct characters37
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

Unique31 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 구월동 1409-9
2nd row인천광역시 남동구 구월동 1409-16
3rd row인천광역시 남동구 구월동 1409-24
4th row인천광역시 남동구 구월동 1409-31
5th row인천광역시 남동구 구월동 1553
ValueCountFrequency (%)
인천광역시 31
24.8%
남동구 31
24.8%
구월동 7
 
5.6%
논현동 6
 
4.8%
만수동 6
 
4.8%
간석동 4
 
3.2%
남촌동 3
 
2.4%
장수동 2
 
1.6%
도림동 2
 
1.6%
1409-24 1
 
0.8%
Other values (32) 32
25.6%
2024-01-28T14:13:21.615578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
15.9%
동 62
 
10.5%
구 38
 
6.4%
남 34
 
5.8%
인 31
 
5.3%
광 31
 
5.3%
역 31
 
5.3%
시 31
 
5.3%
천 31
 
5.3%
- 23
 
3.9%
Other values (27) 184
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 344
58.3%
Decimal Number 128
 
21.7%
Space Separator 94
 
15.9%
Dash Punctuation 23
 
3.9%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 62
18.0%
구 38
11.0%
남 34
9.9%
인 31
9.0%
광 31
9.0%
역 31
9.0%
시 31
9.0%
천 31
9.0%
수 8
 
2.3%
월 7
 
2.0%
Other values (14) 40
11.6%
Decimal Number
ValueCountFrequency (%)
1 18
14.1%
6 17
13.3%
0 14
10.9%
9 14
10.9%
3 13
10.2%
2 12
9.4%
7 10
7.8%
8 10
7.8%
5 10
7.8%
4 10
7.8%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 344
58.3%
Common 246
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 62
18.0%
구 38
11.0%
남 34
9.9%
인 31
9.0%
광 31
9.0%
역 31
9.0%
시 31
9.0%
천 31
9.0%
수 8
 
2.3%
월 7
 
2.0%
Other values (14) 40
11.6%
Common
ValueCountFrequency (%)
94
38.2%
- 23
 
9.3%
1 18
 
7.3%
6 17
 
6.9%
0 14
 
5.7%
9 14
 
5.7%
3 13
 
5.3%
2 12
 
4.9%
7 10
 
4.1%
8 10
 
4.1%
Other values (3) 21
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 344
58.3%
ASCII 246
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
38.2%
- 23
 
9.3%
1 18
 
7.3%
6 17
 
6.9%
0 14
 
5.7%
9 14
 
5.7%
3 13
 
5.3%
2 12
 
4.9%
7 10
 
4.1%
8 10
 
4.1%
Other values (3) 21
 
8.5%
Hangul
ValueCountFrequency (%)
동 62
18.0%
구 38
11.0%
남 34
9.9%
인 31
9.0%
광 31
9.0%
역 31
9.0%
시 31
9.0%
천 31
9.0%
수 8
 
2.3%
월 7
 
2.0%
Other values (14) 40
11.6%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1185.5484
Minimum70
Maximum6904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-28T14:13:21.718664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile116
Q1248
median600
Q31325
95-th percentile5167
Maximum6904
Range6834
Interquartile range (IQR)1077

Descriptive statistics

Standard deviation1638.2244
Coefficient of variation (CV)1.3818284
Kurtosis6.0558159
Mean1185.5484
Median Absolute Deviation (MAD)403
Skewness2.5214398
Sum36752
Variance2683779.3
MonotonicityNot monotonic
2024-01-28T14:13:21.819360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1433 2
 
6.5%
780 1
 
3.2%
117 1
 
3.2%
70 1
 
3.2%
240 1
 
3.2%
147 1
 
3.2%
215 1
 
3.2%
400 1
 
3.2%
1410 1
 
3.2%
1240 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
70 1
3.2%
115 1
3.2%
117 1
3.2%
135 1
3.2%
147 1
3.2%
215 1
3.2%
226 1
3.2%
240 1
3.2%
256 1
3.2%
321 1
3.2%
ValueCountFrequency (%)
6904 1
3.2%
5790 1
3.2%
4544 1
3.2%
2187 1
3.2%
1785 1
3.2%
1433 2
6.5%
1410 1
3.2%
1240 1
3.2%
1182 1
3.2%
1003 1
3.2%

주요시설
Text

MISSING 

Distinct26
Distinct (%)86.7%
Missing1
Missing (%)3.2%
Memory size380.0 B
2024-01-28T14:13:22.005419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length10.933333
Min length4

Characters and Unicode

Total characters328
Distinct characters68
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

Unique24 ?
Unique (%)80.0%

Sample

1st row사각플랜트 등
2nd row야외무대 등
3rd row원형플랜트, 조형물 등
4th row벤치 등
5th row석재플랜트 등
ValueCountFrequency (%)
등 18
19.8%
외 12
 
13.2%
느티나무 4
 
4.4%
사각플랜트 3
 
3.3%
벤치 3
 
3.3%
왕벚나무 3
 
3.3%
5종 3
 
3.3%
석재플랜트 3
 
3.3%
10종 2
 
2.2%
6종 2
 
2.2%
Other values (37) 38
41.8%
2024-01-28T14:13:22.315929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
19.2%
등 18
 
5.5%
무 15
 
4.6%
나 14
 
4.3%
종 13
 
4.0%
외 13
 
4.0%
주 12
 
3.7%
, 9
 
2.7%
5 9
 
2.7%
1 9
 
2.7%
Other values (58) 153
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 197
60.1%
Space Separator 63
 
19.2%
Decimal Number 59
 
18.0%
Other Punctuation 9
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 18
 
9.1%
무 15
 
7.6%
나 14
 
7.1%
종 13
 
6.6%
외 13
 
6.6%
주 12
 
6.1%
트 8
 
4.1%
랜 7
 
3.6%
플 7
 
3.6%
수 4
 
2.0%
Other values (46) 86
43.7%
Decimal Number
ValueCountFrequency (%)
5 9
15.3%
1 9
15.3%
0 7
11.9%
3 7
11.9%
2 6
10.2%
8 6
10.2%
6 5
8.5%
9 4
6.8%
7 4
6.8%
4 2
 
3.4%
Space Separator
ValueCountFrequency (%)
63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 197
60.1%
Common 131
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 18
 
9.1%
무 15
 
7.6%
나 14
 
7.1%
종 13
 
6.6%
외 13
 
6.6%
주 12
 
6.1%
트 8
 
4.1%
랜 7
 
3.6%
플 7
 
3.6%
수 4
 
2.0%
Other values (46) 86
43.7%
Common
ValueCountFrequency (%)
63
48.1%
, 9
 
6.9%
5 9
 
6.9%
1 9
 
6.9%
0 7
 
5.3%
3 7
 
5.3%
2 6
 
4.6%
8 6
 
4.6%
6 5
 
3.8%
9 4
 
3.1%
Other values (2) 6
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 197
60.1%
ASCII 131
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
48.1%
, 9
 
6.9%
5 9
 
6.9%
1 9
 
6.9%
0 7
 
5.3%
3 7
 
5.3%
2 6
 
4.6%
8 6
 
4.6%
6 5
 
3.8%
9 4
 
3.1%
Other values (2) 6
 
4.6%
Hangul
ValueCountFrequency (%)
등 18
 
9.1%
무 15
 
7.6%
나 14
 
7.1%
종 13
 
6.6%
외 13
 
6.6%
주 12
 
6.1%
트 8
 
4.1%
랜 7
 
3.6%
플 7
 
3.6%
수 4
 
2.0%
Other values (46) 86
43.7%

Interactions

2024-01-28T14:13:19.132818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:13:18.965093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:13:19.223176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:13:19.045327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:13:22.452794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종류명칭소재지주소면적(제곱미터)주요시설
연번1.0000.9951.0001.0000.5930.846
종류0.9951.0001.0001.0000.5541.000
명칭1.0001.0001.0001.0001.0001.000
소재지주소1.0001.0001.0001.0001.0001.000
면적(제곱미터)0.5930.5541.0001.0001.0000.963
주요시설0.8461.0001.0001.0000.9631.000
2024-01-28T14:13:22.570609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)종류
연번1.000-0.6180.796
면적(제곱미터)-0.6181.0000.537
종류0.7960.5371.000

Missing values

2024-01-28T14:13:19.349060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:13:19.464528image/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

연번종류명칭소재지주소면적(제곱미터)주요시설
01광장구월광장 1호인천광역시 남동구 구월동 1409-9780사각플랜트 등
12광장구월광장 2호인천광역시 남동구 구월동 1409-161182야외무대 등
23광장구월광장 3호인천광역시 남동구 구월동 1409-241785원형플랜트, 조형물 등
34광장구월광장 4호인천광역시 남동구 구월동 1409-31908벤치 등
45광장선수촌광장 1호인천광역시 남동구 구월동 15531433석재플랜트 등
56광장선수촌광장 2호인천광역시 남동구 구월동 15521433석재플랜트 등
67광장선수촌광장 3호인천광역시 남동구 구월동 1539720석재플랜트 등
78광장논현광장 1호인천광역시 남동구 논현동 632-3600벤치 등
89광장논현광장 2호인천광역시 남동구 논현동 676-121003사각플랜트 등
910광장논현광장 3호인천광역시 남동구 논현동 677-7588사각플랜트 등
연번종류명칭소재지주소면적(제곱미터)주요시설
2122쉼터토담길쉼터인천광역시 남동구 간석동 769-9115단풍나무, 느티나무 등
2223쉼터남촌동 쉼터인천광역시 남동구 남촌동 46-1321느티나무 외 10종
2324쉼터간석4동 쉼터인천광역시 남동구 간석동 894-5480느티나무 외 10종 1,283주
2425쉼터남촌동 512 쉼터인천광역시 남동구 남촌동 512-481240왕벚나무 등 9종 10,398주
2526쉼터도림동 40-2 쉼터인천광역시 남동구 도림동 40-21410왕벚나무 외 11종 10,198주
2627쉼터귀성 약수터 쉼터인천광역시 남동구 장수동 22-4400이팝나무 외 6종 3419주
2728쉼터민방위길 쉼터인천광역시 남동구 만수동 863-12215왕벚나무 외 5종 2607주
2829쉼터도림동 쉼터인천광역시 남동구 도림동 213147영산홍 등
2930쉼터모래내쉼터인천광역시 남동구 만수동 909 일원240낙상홍, 삼색조팝 등
3031쉼터오르막쉼터인천광역시 남동구 만수동 839-2070목수국, 바위취, 관중 등