Overview

Dataset statistics

Number of variables6
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory56.5 B

Variable types

Numeric1
Text1
Categorical4

Dataset

Description서울특별시 중랑구 관내의 실외운동기구 현황을 제공합니다. 실외운동기구의 위치 정보입니다. 참고해주시기 바랍니다.
URLhttps://www.data.go.kr/data/15038046/fileData.do

Alerts

담당부서 has constant value ""Constant
고장난 수량 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:08:42.664831
Analysis finished2023-12-12 21:08:43.088971
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T06:08:43.147762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-13T06:08:43.261318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

종류
Text

Distinct14
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T06:08:43.443838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.9166667
Min length2

Characters and Unicode

Total characters94
Distinct characters44
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)37.5%

Sample

1st row철봉
2nd row철봉
3rd row철봉
4th row평행봉
5th row평행봉
ValueCountFrequency (%)
평행봉 4
16.7%
농구골대 4
16.7%
철봉 3
12.5%
허리돌리기 2
8.3%
달리기 2
8.3%
등지압기 1
 
4.2%
어깨유연성운동 1
 
4.2%
파도타기 1
 
4.2%
역기올리기 1
 
4.2%
오금펴기 1
 
4.2%
Other values (4) 4
16.7%
2023-12-13T06:08:43.781361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 13
 
13.8%
리 8
 
8.5%
봉 7
 
7.4%
평 4
 
4.3%
농 4
 
4.3%
구 4
 
4.3%
골 4
 
4.3%
대 4
 
4.3%
행 4
 
4.3%
철 3
 
3.2%
Other values (34) 39
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 13
 
13.8%
리 8
 
8.5%
봉 7
 
7.4%
평 4
 
4.3%
농 4
 
4.3%
구 4
 
4.3%
골 4
 
4.3%
대 4
 
4.3%
행 4
 
4.3%
철 3
 
3.2%
Other values (34) 39
41.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 13
 
13.8%
리 8
 
8.5%
봉 7
 
7.4%
평 4
 
4.3%
농 4
 
4.3%
구 4
 
4.3%
골 4
 
4.3%
대 4
 
4.3%
행 4
 
4.3%
철 3
 
3.2%
Other values (34) 39
41.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 13
 
13.8%
리 8
 
8.5%
봉 7
 
7.4%
평 4
 
4.3%
농 4
 
4.3%
구 4
 
4.3%
골 4
 
4.3%
대 4
 
4.3%
행 4
 
4.3%
철 3
 
3.2%
Other values (34) 39
41.5%

수량
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2
14 
1
7 
3
2 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row3
2nd row2
3rd row3
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 14
58.3%
1 7
29.2%
3 2
 
8.3%
4 1
 
4.2%

Length

2023-12-13T06:08:43.961880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:08:44.117946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 14
58.3%
1 7
29.2%
3 2
 
8.3%
4 1
 
4.2%

주소
Categorical

Distinct9
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
서울특별시 중랑구 신내동 315-5(신내어울공원)
13 
서울특별시 중랑구 묵동 361-5
2 
서울특별시 중랑구 면목동 1031-25
2 
서울특별시 중랑구 면목동 727-94
2 
서울특별시 중랑구 면목동 1049-12
 
1
Other values (4)
4 

Length

Max length27
Median length27
Mean length23.541667
Min length17

Unique

Unique5 ?
Unique (%)20.8%

Sample

1st row서울특별시 중랑구 묵동 361-5
2nd row서울특별시 중랑구 면목동 1031-25
3rd row서울특별시 중랑구 면목동 727-94
4th row서울특별시 중랑구 묵동 361-5
5th row서울특별시 중랑구 면목동 1049-12

Common Values

ValueCountFrequency (%)
서울특별시 중랑구 신내동 315-5(신내어울공원) 13
54.2%
서울특별시 중랑구 묵동 361-5 2
 
8.3%
서울특별시 중랑구 면목동 1031-25 2
 
8.3%
서울특별시 중랑구 면목동 727-94 2
 
8.3%
서울특별시 중랑구 면목동 1049-12 1
 
4.2%
서울특별시 중랑구 중화동 363 1
 
4.2%
서울특별시 중랑구 중화동 381-5 1
 
4.2%
서울특별시 중랑구 면목동 1031-451 1
 
4.2%
서울특별시 중랑구 면목동 723 1
 
4.2%

Length

2023-12-13T06:08:44.264106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:08:44.407491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 24
25.0%
중랑구 24
25.0%
신내동 13
13.5%
315-5(신내어울공원 13
13.5%
면목동 7
 
7.3%
묵동 2
 
2.1%
361-5 2
 
2.1%
1031-25 2
 
2.1%
727-94 2
 
2.1%
중화동 2
 
2.1%
Other values (5) 5
 
5.2%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
치수과
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
치수과 24
100.0%

Length

2023-12-13T06:08:44.576289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:08:44.682639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치수과 24
100.0%

고장난 수량
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 24
100.0%

Length

2023-12-13T06:08:44.772148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:08:44.889033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
100.0%

Interactions

2023-12-13T06:08:42.840722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:08:44.962015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종류수량주소
연번1.0000.8970.6070.420
종류0.8971.0000.0000.000
수량0.6070.0001.0000.723
주소0.4200.0000.7231.000
2023-12-13T06:08:45.060981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수량주소
수량1.0000.474
주소0.4741.000
2023-12-13T06:08:45.162360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수량주소
연번1.0000.3200.125
수량0.3201.0000.474
주소0.1250.4741.000

Missing values

2023-12-13T06:08:42.938112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:08:43.050268image/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

연번종류수량주소담당부서고장난 수량
01철봉3서울특별시 중랑구 묵동 361-5치수과0
12철봉2서울특별시 중랑구 면목동 1031-25치수과0
23철봉3서울특별시 중랑구 면목동 727-94치수과0
34평행봉2서울특별시 중랑구 묵동 361-5치수과0
45평행봉2서울특별시 중랑구 면목동 1049-12치수과0
56평행봉1서울특별시 중랑구 면목동 1031-25치수과0
67평행봉2서울특별시 중랑구 면목동 727-94치수과0
78농구골대2서울특별시 중랑구 중화동 363치수과0
89농구골대2서울특별시 중랑구 중화동 381-5치수과0
910농구골대4서울특별시 중랑구 면목동 1031-451치수과0
연번종류수량주소담당부서고장난 수량
1415허리돌리기1서울특별시 중랑구 신내동 315-5(신내어울공원)치수과0
1516달리기2서울특별시 중랑구 신내동 315-5(신내어울공원)치수과0
1617역기올리기1서울특별시 중랑구 신내동 315-5(신내어울공원)치수과0
1718오금펴기1서울특별시 중랑구 신내동 315-5(신내어울공원)치수과0
1819상체근육풀기2서울특별시 중랑구 신내동 315-5(신내어울공원)치수과0
1920달리기2서울특별시 중랑구 신내동 315-5(신내어울공원)치수과0
2021공중걷기2서울특별시 중랑구 신내동 315-5(신내어울공원)치수과0
2122역기내리기2서울특별시 중랑구 신내동 315-5(신내어울공원)치수과0
2223허리돌리기2서울특별시 중랑구 신내동 315-5(신내어울공원)치수과0
2324레그프레스2서울특별시 중랑구 신내동 315-5(신내어울공원)치수과0