Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory64.3 B

Variable types

Numeric2
Categorical2
Text3

Dataset

Description인천광역시 서구에 위치한 광장쉼터현황에 관한 데이터셋입니다. 인천광역시 서구에 위치한 광장쉼터현황의 종류, 명칭, 소재지주소, 면적에 관한 정보를 포함하고 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15090782&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
면적(제곱미터) is highly overall correlated with 종류High correlation
종류 is highly overall correlated with 면적(제곱미터)High correlation
종류 is highly imbalanced (72.4%)Imbalance
연번 has unique valuesUnique
명칭 has unique valuesUnique
소재지주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:09:38.902392
Analysis finished2024-01-28 05:09:39.618898
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T14:09:39.676063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-01-28T14:09:39.812998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
쉼터
20 
광장
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
쉼터 20
95.2%
광장 1
 
4.8%

Length

2024-01-28T14:09:39.958849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:09:40.061745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쉼터 20
95.2%
광장 1
 
4.8%

명칭
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-28T14:09:40.188208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length7.5238095
Min length4

Characters and Unicode

Total characters158
Distinct characters71
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

Unique21 ?
Unique (%)100.0%

Sample

1st row서곶공원쉼터
2nd row석남약수터 진입로 쉼터
3rd row갈마마을 쉼터
4th row샘내마을 쉼터
5th row싱아고개 쉼터 (상)
ValueCountFrequency (%)
쉼터 11
27.5%
싱아고개 2
 
5.0%
백석대교 2
 
5.0%
뒤 2
 
5.0%
서곶공원쉼터 1
 
2.5%
가좌여중 1
 
2.5%
심곡쉼터 1
 
2.5%
남측쉼터 1
 
2.5%
북측쉼터 1
 
2.5%
길훈쉼터 1
 
2.5%
Other values (17) 17
42.5%
2024-01-28T14:09:40.787671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 20
 
12.7%
19
 
12.0%
쉼 19
 
12.0%
공 4
 
2.5%
마 4
 
2.5%
석 3
 
1.9%
교 3
 
1.9%
을 3
 
1.9%
뒤 2
 
1.3%
) 2
 
1.3%
Other values (61) 79
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134
84.8%
Space Separator 19
 
12.0%
Close Punctuation 2
 
1.3%
Open Punctuation 2
 
1.3%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 20
 
14.9%
쉼 19
 
14.2%
공 4
 
3.0%
마 4
 
3.0%
석 3
 
2.2%
교 3
 
2.2%
을 3
 
2.2%
뒤 2
 
1.5%
연 2
 
1.5%
희 2
 
1.5%
Other values (57) 72
53.7%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134
84.8%
Common 24
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 20
 
14.9%
쉼 19
 
14.2%
공 4
 
3.0%
마 4
 
3.0%
석 3
 
2.2%
교 3
 
2.2%
을 3
 
2.2%
뒤 2
 
1.5%
연 2
 
1.5%
희 2
 
1.5%
Other values (57) 72
53.7%
Common
ValueCountFrequency (%)
19
79.2%
) 2
 
8.3%
( 2
 
8.3%
4 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134
84.8%
ASCII 24
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 20
 
14.9%
쉼 19
 
14.2%
공 4
 
3.0%
마 4
 
3.0%
석 3
 
2.2%
교 3
 
2.2%
을 3
 
2.2%
뒤 2
 
1.5%
연 2
 
1.5%
희 2
 
1.5%
Other values (57) 72
53.7%
ASCII
ValueCountFrequency (%)
19
79.2%
) 2
 
8.3%
( 2
 
8.3%
4 1
 
4.2%

소재지주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-28T14:09:40.979098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length18.571429
Min length15

Characters and Unicode

Total characters390
Distinct characters45
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

Unique21 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 연희동 산41-5
2nd row인천광역시 서구 석남동 산57번지 일원
3rd row인천광역시 서구 심곡동 255-12
4th row인쳔광역시 서구 심곡동 257-17
5th row인천광역시 서구 가정동 산4
ValueCountFrequency (%)
서구 21
24.1%
인천광역시 20
23.0%
연희동 4
 
4.6%
심곡동 4
 
4.6%
가정동 3
 
3.4%
석남동 2
 
2.3%
불로동 2
 
2.3%
가좌동 2
 
2.3%
백석동 1
 
1.1%
145-4 1
 
1.1%
Other values (27) 27
31.0%
2024-01-28T14:09:41.269989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
16.9%
인 21
 
5.4%
동 21
 
5.4%
광 21
 
5.4%
역 21
 
5.4%
시 21
 
5.4%
서 21
 
5.4%
구 21
 
5.4%
1 21
 
5.4%
천 20
 
5.1%
Other values (35) 136
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 223
57.2%
Decimal Number 84
 
21.5%
Space Separator 66
 
16.9%
Dash Punctuation 17
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 21
9.4%
동 21
9.4%
광 21
9.4%
역 21
9.4%
시 21
9.4%
서 21
9.4%
구 21
9.4%
천 20
9.0%
산 6
 
2.7%
가 5
 
2.2%
Other values (24) 45
20.2%
Decimal Number
ValueCountFrequency (%)
1 21
25.0%
4 14
16.7%
5 9
10.7%
2 9
10.7%
3 8
 
9.5%
6 7
 
8.3%
7 7
 
8.3%
8 5
 
6.0%
9 4
 
4.8%
Space Separator
ValueCountFrequency (%)
66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 223
57.2%
Common 167
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 21
9.4%
동 21
9.4%
광 21
9.4%
역 21
9.4%
시 21
9.4%
서 21
9.4%
구 21
9.4%
천 20
9.0%
산 6
 
2.7%
가 5
 
2.2%
Other values (24) 45
20.2%
Common
ValueCountFrequency (%)
66
39.5%
1 21
 
12.6%
- 17
 
10.2%
4 14
 
8.4%
5 9
 
5.4%
2 9
 
5.4%
3 8
 
4.8%
6 7
 
4.2%
7 7
 
4.2%
8 5
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 223
57.2%
ASCII 167
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
39.5%
1 21
 
12.6%
- 17
 
10.2%
4 14
 
8.4%
5 9
 
5.4%
2 9
 
5.4%
3 8
 
4.8%
6 7
 
4.2%
7 7
 
4.2%
8 5
 
3.0%
Hangul
ValueCountFrequency (%)
인 21
9.4%
동 21
9.4%
광 21
9.4%
역 21
9.4%
시 21
9.4%
서 21
9.4%
구 21
9.4%
천 20
9.0%
산 6
 
2.7%
가 5
 
2.2%
Other values (24) 45
20.2%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1240.6667
Minimum165
Maximum5914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-28T14:09:41.386143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum165
5-th percentile171
Q1300
median409
Q31341
95-th percentile5048
Maximum5914
Range5749
Interquartile range (IQR)1041

Descriptive statistics

Standard deviation1616.2975
Coefficient of variation (CV)1.3027653
Kurtosis3.5040506
Mean1240.6667
Median Absolute Deviation (MAD)226
Skewness2.0219406
Sum26054
Variance2612417.7
MonotonicityNot monotonic
2024-01-28T14:09:41.514720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
300 4
19.0%
400 2
 
9.5%
500 1
 
4.8%
1341 1
 
4.8%
171 1
 
4.8%
5048 1
 
4.8%
5914 1
 
4.8%
165 1
 
4.8%
1910 1
 
4.8%
183 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
165 1
 
4.8%
171 1
 
4.8%
183 1
 
4.8%
300 4
19.0%
317 1
 
4.8%
400 2
9.5%
409 1
 
4.8%
500 1
 
4.8%
623 1
 
4.8%
1000 1
 
4.8%
ValueCountFrequency (%)
5914 1
4.8%
5048 1
4.8%
3000 1
4.8%
2430 1
4.8%
1910 1
4.8%
1341 1
4.8%
1043 1
4.8%
1000 1
4.8%
623 1
4.8%
500 1
4.8%

주요시설
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-28T14:09:41.667965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length17.809524
Min length4

Characters and Unicode

Total characters374
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

Unique19 ?
Unique (%)90.5%

Sample

1st row왕벚나무 등 6종 655주, 벤치 등
2nd row전나무 등 6종 2,026주, 벤치 등
3rd row파고라, 등벤치 등
4th row정자, 벤치 등
5th row꽃사과 등 11종 847주, 정자 등
ValueCountFrequency (%)
등 36
33.6%
벤치 8
 
7.5%
파고라 4
 
3.7%
10종 4
 
3.7%
6종 3
 
2.8%
정자 3
 
2.8%
소나무 3
 
2.8%
왕벚나무 2
 
1.9%
쉘터 2
 
1.9%
족구장 2
 
1.9%
Other values (39) 40
37.4%
2024-01-28T14:09:41.923584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
23.0%
등 37
 
9.9%
, 25
 
6.7%
주 18
 
4.8%
종 16
 
4.3%
1 13
 
3.5%
2 11
 
2.9%
0 11
 
2.9%
나 11
 
2.9%
무 11
 
2.9%
Other values (50) 135
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 181
48.4%
Space Separator 86
23.0%
Decimal Number 82
21.9%
Other Punctuation 25
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 37
20.4%
주 18
 
9.9%
종 16
 
8.8%
나 11
 
6.1%
무 11
 
6.1%
치 9
 
5.0%
벤 9
 
5.0%
고 4
 
2.2%
라 4
 
2.2%
파 4
 
2.2%
Other values (38) 58
32.0%
Decimal Number
ValueCountFrequency (%)
1 13
15.9%
2 11
13.4%
0 11
13.4%
5 9
11.0%
8 9
11.0%
4 9
11.0%
6 9
11.0%
3 4
 
4.9%
7 4
 
4.9%
9 3
 
3.7%
Space Separator
ValueCountFrequency (%)
86
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 193
51.6%
Hangul 181
48.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 37
20.4%
주 18
 
9.9%
종 16
 
8.8%
나 11
 
6.1%
무 11
 
6.1%
치 9
 
5.0%
벤 9
 
5.0%
고 4
 
2.2%
라 4
 
2.2%
파 4
 
2.2%
Other values (38) 58
32.0%
Common
ValueCountFrequency (%)
86
44.6%
, 25
 
13.0%
1 13
 
6.7%
2 11
 
5.7%
0 11
 
5.7%
5 9
 
4.7%
8 9
 
4.7%
4 9
 
4.7%
6 9
 
4.7%
3 4
 
2.1%
Other values (2) 7
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 193
51.6%
Hangul 181
48.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
44.6%
, 25
 
13.0%
1 13
 
6.7%
2 11
 
5.7%
0 11
 
5.7%
5 9
 
4.7%
8 9
 
4.7%
4 9
 
4.7%
6 9
 
4.7%
3 4
 
2.1%
Other values (2) 7
 
3.6%
Hangul
ValueCountFrequency (%)
등 37
20.4%
주 18
 
9.9%
종 16
 
8.8%
나 11
 
6.1%
무 11
 
6.1%
치 9
 
5.0%
벤 9
 
5.0%
고 4
 
2.2%
라 4
 
2.2%
파 4
 
2.2%
Other values (38) 58
32.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2022-09-01
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-01
2nd row2022-09-01
3rd row2022-09-01
4th row2022-09-01
5th row2022-09-01

Common Values

ValueCountFrequency (%)
2022-09-01 21
100.0%

Length

2024-01-28T14:09:42.028114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:09:42.105346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-01 21
100.0%

Interactions

2024-01-28T14:09:39.302674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:09:39.157701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:09:39.379692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:09:39.231657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:09:42.167340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종류명칭소재지주소면적(제곱미터)주요시설
연번1.0000.0001.0001.0000.0000.948
종류0.0001.0001.0001.0001.0001.000
명칭1.0001.0001.0001.0001.0001.000
소재지주소1.0001.0001.0001.0001.0001.000
면적(제곱미터)0.0001.0001.0001.0001.0001.000
주요시설0.9481.0001.0001.0001.0001.000
2024-01-28T14:09:42.255933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)종류
연번1.000-0.1220.162
면적(제곱미터)-0.1221.0000.858
종류0.1620.8581.000

Missing values

2024-01-28T14:09:39.478629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:09:39.575905image/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)주요시설데이터기준일자
01쉼터서곶공원쉼터인천광역시 서구 연희동 산41-5500왕벚나무 등 6종 655주, 벤치 등2022-09-01
12쉼터석남약수터 진입로 쉼터인천광역시 서구 석남동 산57번지 일원1000전나무 등 6종 2,026주, 벤치 등2022-09-01
23쉼터갈마마을 쉼터인천광역시 서구 심곡동 255-12623파고라, 등벤치 등2022-09-01
34쉼터샘내마을 쉼터인쳔광역시 서구 심곡동 257-171043정자, 벤치 등2022-09-01
45쉼터싱아고개 쉼터 (상)인천광역시 서구 가정동 산4400꽃사과 등 11종 847주, 정자 등2022-09-01
56쉼터싱아고개 쉼터 (하)인천광역시 서구 가정동 산3400철쭉 등 4종 3,640주, 정자, 벤치 등2022-09-01
67쉼터봉우재휴식공간인천광역시 서구 가정동 616-62430잣나무 등 10종 580주2022-09-01
78쉼터연희쉼터인천광역시 서구 연희동 산41-4409소나무 등 14종 1,399주, 파고라 등2022-09-01
89쉼터가좌4동 쉼터인천광역시 서구 가좌동 산193-13000눈주목 등 7종 2528주, 족구장 등2022-09-01
910쉼터연희마을쉼터인천광역시 서구 연희동 684-17317주목 등 8종 420주, 체육시설 등2022-09-01
연번종류명칭소재지주소면적(제곱미터)주요시설데이터기준일자
1112쉼터가좌여중 뒤 쉼터인천광역시 서구 석남동 115-8300소나무 등 6종 528주, 쉘터 등2022-09-01
1213쉼터신현펌프장 쉼터인천광역시 서구 신현동 74-3300측백나무 등 20종 1,238주, 쉘터 등2022-09-01
1314쉼터서부공단쉼터인천광역시 서구 연희동 428-1111910벚나무 등 16종 1,943주, 족구장 등2022-09-01
1415쉼터할머니 쉼터인천광역시 서구 가좌동 145-4165대나무 등 10종 524주, 원목데크 등2022-09-01
1516쉼터불로초교 앞 쉼터인천광역시 서구 불로동 799-1300파고라 등2022-09-01
1617쉼터길훈쉼터인천광역시 서구 불로동 839300파고라 등2022-09-01
1718쉼터백석대교 북측쉼터인천광역시 서구 백석동 152-1245914메타세콰이어 등 10종 7,254주, 휴게데크 등2022-09-01
1819쉼터백석대교 남측쉼터인천광역시 서구 검암동 414-265 외 14필지5048왕벚나무 등 12종 14,605주, 벤치 등2022-09-01
1920쉼터심곡쉼터인천광역시 서구 심곡동 334-1171소나무 등 7종 885주, 벤치 등2022-09-01
2021광장검단사거리광장인천광역시 서구 왕길동 638-61341벤치 등2022-09-01