Overview

Dataset statistics

Number of variables11
Number of observations411
Missing cells411
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.3 KiB
Average record size in memory90.3 B

Variable types

Numeric1
Text4
Categorical5
Unsupported1

Dataset

Description대전광역시 도시공원 내 조명시설 현황입니다. 사업소 및 자치구별 구분되어 있습니다. 공원의 수가 방대하여 주요 공원들을 중점으로 생성된 자료입니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15090024/fileData.do

Alerts

광 원 (램프유형) 나트륨 is highly imbalanced (59.0%)Imbalance
광 원 (램프유형) 기타 is highly imbalanced (66.4%)Imbalance
비고 has 411 (100.0%) missing valuesMissing
번호 has unique valuesUnique
소 재 지 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 04:26:31.165570
Analysis finished2023-12-12 04:26:33.100488
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct411
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206
Minimum1
Maximum411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T13:26:33.186430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.5
Q1103.5
median206
Q3308.5
95-th percentile390.5
Maximum411
Range410
Interquartile range (IQR)205

Descriptive statistics

Standard deviation118.78973
Coefficient of variation (CV)0.57664918
Kurtosis-1.2
Mean206
Median Absolute Deviation (MAD)103
Skewness0
Sum84666
Variance14111
MonotonicityStrictly increasing
2023-12-12T13:26:33.349767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
272 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
Other values (401) 401
97.6%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%
407 1
0.2%
406 1
0.2%
405 1
0.2%
404 1
0.2%
403 1
0.2%
402 1
0.2%

공원명
Text

Distinct378
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T13:26:33.752111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length2.649635
Min length2

Characters and Unicode

Total characters1089
Distinct characters260
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique351 ?
Unique (%)85.4%

Sample

1st row둔산대
2nd row둔산대
3rd row둔산대
4th row둔산대
5th row둔산대
ValueCountFrequency (%)
둔산대 7
 
1.7%
느리울 3
 
0.7%
선암 2
 
0.5%
창골 2
 
0.5%
목동 2
 
0.5%
월평 2
 
0.5%
봉우재 2
 
0.5%
새말 2
 
0.5%
도안 2
 
0.5%
양지 2
 
0.5%
Other values (372) 389
93.7%
2023-12-12T13:26:34.339455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
골 34
 
3.1%
산 31
 
2.8%
봉 22
 
2.0%
대 21
 
1.9%
리 19
 
1.7%
용 19
 
1.7%
정 18
 
1.7%
동 18
 
1.7%
들 16
 
1.5%
1 15
 
1.4%
Other values (250) 876
80.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1009
92.7%
Decimal Number 53
 
4.9%
Close Punctuation 11
 
1.0%
Open Punctuation 11
 
1.0%
Space Separator 4
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 34
 
3.4%
산 31
 
3.1%
봉 22
 
2.2%
대 21
 
2.1%
리 19
 
1.9%
용 19
 
1.9%
정 18
 
1.8%
동 18
 
1.8%
들 16
 
1.6%
천 14
 
1.4%
Other values (237) 797
79.0%
Decimal Number
ValueCountFrequency (%)
1 15
28.3%
2 12
22.6%
3 10
18.9%
6 5
 
9.4%
4 4
 
7.5%
5 3
 
5.7%
7 2
 
3.8%
8 1
 
1.9%
0 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1009
92.7%
Common 80
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 34
 
3.4%
산 31
 
3.1%
봉 22
 
2.2%
대 21
 
2.1%
리 19
 
1.9%
용 19
 
1.9%
정 18
 
1.8%
동 18
 
1.8%
들 16
 
1.6%
천 14
 
1.4%
Other values (237) 797
79.0%
Common
ValueCountFrequency (%)
1 15
18.8%
2 12
15.0%
) 11
13.8%
( 11
13.8%
3 10
12.5%
6 5
 
6.2%
4
 
5.0%
4 4
 
5.0%
5 3
 
3.8%
7 2
 
2.5%
Other values (3) 3
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1009
92.7%
ASCII 80
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
골 34
 
3.4%
산 31
 
3.1%
봉 22
 
2.2%
대 21
 
2.1%
리 19
 
1.9%
용 19
 
1.9%
정 18
 
1.8%
동 18
 
1.8%
들 16
 
1.6%
천 14
 
1.4%
Other values (237) 797
79.0%
ASCII
ValueCountFrequency (%)
1 15
18.8%
2 12
15.0%
) 11
13.8%
( 11
13.8%
3 10
12.5%
6 5
 
6.2%
4
 
5.0%
4 4
 
5.0%
5 3
 
3.8%
7 2
 
2.5%
Other values (3) 3
 
3.8%

공원종류
Categorical

Distinct12
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
어린이공원
240 
근린공원
87 
어린이
28 
소공원
 
22
근린
 
14
Other values (7)
 
20

Length

Max length5
Median length5
Mean length4.3746959
Min length2

Unique

Unique3 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
어린이공원 240
58.4%
근린공원 87
 
21.2%
어린이 28
 
6.8%
소공원 22
 
5.4%
근린 14
 
3.4%
체육공원 6
 
1.5%
문화공원 5
 
1.2%
수변 3
 
0.7%
수변공원 3
 
0.7%
가로 1
 
0.2%
Other values (2) 2
 
0.5%

Length

2023-12-12T13:26:34.512445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이공원 240
58.4%
근린공원 87
 
21.2%
어린이 28
 
6.8%
소공원 22
 
5.4%
근린 14
 
3.4%
체육공원 6
 
1.5%
문화공원 5
 
1.2%
수변 3
 
0.7%
수변공원 3
 
0.7%
가로 1
 
0.2%
Other values (2) 2
 
0.5%

행정동
Text

Distinct79
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T13:26:34.750058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.4914842
Min length2

Characters and Unicode

Total characters1435
Distinct characters98
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

Unique20 ?
Unique (%)4.9%

Sample

1st row서구 둔산대로 169(한밭수목원)
2nd row서구 둔산대로 169(한밭수목원)
3rd row서구 둔산대로 169(한밭수목원)
4th row서구 둔산대로 169(한밭수목원)
5th row서구 둔산대로 169(한밭수목원)
ValueCountFrequency (%)
온천1동 37
 
8.7%
관저동 26
 
6.1%
신성동 14
 
3.3%
온천2동 14
 
3.3%
중리동 13
 
3.1%
노은3동 13
 
3.1%
둔산동 12
 
2.8%
송촌동 11
 
2.6%
원신흥동 11
 
2.6%
복수동 11
 
2.6%
Other values (71) 263
61.9%
2023-12-12T13:26:35.167485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 399
27.8%
1 57
 
4.0%
천 55
 
3.8%
온 51
 
3.6%
관 36
 
2.5%
노 30
 
2.1%
은 30
 
2.1%
2 29
 
2.0%
신 29
 
2.0%
수 28
 
2.0%
Other values (88) 691
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1294
90.2%
Decimal Number 113
 
7.9%
Space Separator 14
 
1.0%
Close Punctuation 7
 
0.5%
Open Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 399
30.8%
천 55
 
4.3%
온 51
 
3.9%
관 36
 
2.8%
노 30
 
2.3%
은 30
 
2.3%
신 29
 
2.2%
수 28
 
2.2%
원 27
 
2.1%
저 26
 
2.0%
Other values (80) 583
45.1%
Decimal Number
ValueCountFrequency (%)
1 57
50.4%
2 29
25.7%
3 13
 
11.5%
6 7
 
6.2%
9 7
 
6.2%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1294
90.2%
Common 141
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 399
30.8%
천 55
 
4.3%
온 51
 
3.9%
관 36
 
2.8%
노 30
 
2.3%
은 30
 
2.3%
신 29
 
2.2%
수 28
 
2.2%
원 27
 
2.1%
저 26
 
2.0%
Other values (80) 583
45.1%
Common
ValueCountFrequency (%)
1 57
40.4%
2 29
20.6%
14
 
9.9%
3 13
 
9.2%
) 7
 
5.0%
6 7
 
5.0%
( 7
 
5.0%
9 7
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1294
90.2%
ASCII 141
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 399
30.8%
천 55
 
4.3%
온 51
 
3.9%
관 36
 
2.8%
노 30
 
2.3%
은 30
 
2.3%
신 29
 
2.2%
수 28
 
2.2%
원 27
 
2.1%
저 26
 
2.0%
Other values (80) 583
45.1%
ASCII
ValueCountFrequency (%)
1 57
40.4%
2 29
20.6%
14
 
9.9%
3 13
 
9.2%
) 7
 
5.0%
6 7
 
5.0%
( 7
 
5.0%
9 7
 
5.0%

소 재 지
Text

UNIQUE 

Distinct411
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T13:26:35.544669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length24
Mean length11.240876
Min length5

Characters and Unicode

Total characters4620
Distinct characters146
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

Unique411 ?
Unique (%)100.0%

Sample

1st row엑스포시민광장
2nd row동원수목원
3rd row서원수목원
4th row공원등(원형광장)
5th row잔디등(원형광장)
ValueCountFrequency (%)
유성구 120
 
11.1%
중구 45
 
4.1%
관저동 26
 
2.4%
봉명동 16
 
1.5%
지족동 13
 
1.2%
중리동 13
 
1.2%
일원 12
 
1.1%
송촌동 11
 
1.0%
둔산동 11
 
1.0%
복수동 11
 
1.0%
Other values (588) 807
74.4%
2023-12-12T13:26:36.093642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
763
16.5%
동 406
 
8.8%
1 332
 
7.2%
2 194
 
4.2%
- 190
 
4.1%
구 182
 
3.9%
5 170
 
3.7%
4 167
 
3.6%
3 156
 
3.4%
6 155
 
3.4%
Other values (136) 1905
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1954
42.3%
Decimal Number 1639
35.5%
Space Separator 763
 
16.5%
Dash Punctuation 190
 
4.1%
Open Punctuation 35
 
0.8%
Close Punctuation 35
 
0.8%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 406
20.8%
구 182
 
9.3%
성 139
 
7.1%
유 125
 
6.4%
중 62
 
3.2%
원 47
 
2.4%
로 39
 
2.0%
산 36
 
1.8%
관 33
 
1.7%
길 31
 
1.6%
Other values (121) 854
43.7%
Decimal Number
ValueCountFrequency (%)
1 332
20.3%
2 194
11.8%
5 170
10.4%
4 167
10.2%
3 156
9.5%
6 155
9.5%
8 143
8.7%
7 120
 
7.3%
0 104
 
6.3%
9 98
 
6.0%
Space Separator
ValueCountFrequency (%)
763
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2666
57.7%
Hangul 1954
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 406
20.8%
구 182
 
9.3%
성 139
 
7.1%
유 125
 
6.4%
중 62
 
3.2%
원 47
 
2.4%
로 39
 
2.0%
산 36
 
1.8%
관 33
 
1.7%
길 31
 
1.6%
Other values (121) 854
43.7%
Common
ValueCountFrequency (%)
763
28.6%
1 332
12.5%
2 194
 
7.3%
- 190
 
7.1%
5 170
 
6.4%
4 167
 
6.3%
3 156
 
5.9%
6 155
 
5.8%
8 143
 
5.4%
7 120
 
4.5%
Other values (5) 276
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2666
57.7%
Hangul 1954
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
763
28.6%
1 332
12.5%
2 194
 
7.3%
- 190
 
7.1%
5 170
 
6.4%
4 167
 
6.3%
3 156
 
5.9%
6 155
 
5.8%
8 143
 
5.4%
7 120
 
4.5%
Other values (5) 276
 
10.4%
Hangul
ValueCountFrequency (%)
동 406
20.8%
구 182
 
9.3%
성 139
 
7.1%
유 125
 
6.4%
중 62
 
3.2%
원 47
 
2.4%
로 39
 
2.0%
산 36
 
1.8%
관 33
 
1.7%
길 31
 
1.6%
Other values (121) 854
43.7%

광 원 (램프유형) 계
Text

Distinct81
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T13:26:36.343994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length1
Mean length1.4671533
Min length1

Characters and Unicode

Total characters603
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)10.2%

Sample

1st row80
2nd row142
3rd row196
4th row43
5th row40
ValueCountFrequency (%)
4 48
 
11.7%
6 39
 
9.5%
5 39
 
9.5%
8 29
 
7.1%
3 26
 
6.3%
2 20
 
4.9%
9 18
 
4.4%
7 17
 
4.1%
11 15
 
3.6%
10 13
 
3.2%
Other values (71) 147
35.8%
2023-12-12T13:26:36.752813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 120
19.9%
4 72
11.9%
2 69
11.4%
5 65
10.8%
6 61
10.1%
3 60
10.0%
8 38
 
6.3%
7 38
 
6.3%
9 37
 
6.1%
0 34
 
5.6%
Other values (2) 9
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 594
98.5%
Space Separator 6
 
1.0%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 120
20.2%
4 72
12.1%
2 69
11.6%
5 65
10.9%
6 61
10.3%
3 60
10.1%
8 38
 
6.4%
7 38
 
6.4%
9 37
 
6.2%
0 34
 
5.7%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 603
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 120
19.9%
4 72
11.9%
2 69
11.4%
5 65
10.8%
6 61
10.1%
3 60
10.0%
8 38
 
6.3%
7 38
 
6.3%
9 37
 
6.1%
0 34
 
5.6%
Other values (2) 9
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 603
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 120
19.9%
4 72
11.9%
2 69
11.4%
5 65
10.8%
6 61
10.1%
3 60
10.0%
8 38
 
6.3%
7 38
 
6.3%
9 37
 
6.1%
0 34
 
5.6%
Other values (2) 9
 
1.5%

광 원 (램프유형) LED
Categorical

Distinct47
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
-
175 
<NA>
85 
4
20 
5
 
14
2
 
13
Other values (42)
104 

Length

Max length4
Median length3
Mean length2.649635
Min length1

Unique

Unique24 ?
Unique (%)5.8%

Sample

1st row80
2nd row142
3rd row196
4th row43
5th row40

Common Values

ValueCountFrequency (%)
- 175
42.6%
<NA> 85
20.7%
4 20
 
4.9%
5 14
 
3.4%
2 13
 
3.2%
11 11
 
2.7%
6 9
 
2.2%
1 8
 
1.9%
7 8
 
1.9%
8 7
 
1.7%
Other values (37) 61
 
14.8%

Length

2023-12-12T13:26:36.929954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
175
42.6%
na 85
20.7%
4 20
 
4.9%
5 14
 
3.4%
2 13
 
3.2%
11 11
 
2.7%
6 9
 
2.2%
1 8
 
1.9%
7 8
 
1.9%
8 7
 
1.7%
Other values (37) 61
 
14.8%

광 원 (램프유형) CDM
Categorical

Distinct50
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
132 
-
94 
6
23 
4
22 
8
17 
Other values (45)
123 

Length

Max length4
Median length3
Mean length2.6131387
Min length1

Unique

Unique20 ?
Unique (%)4.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 132
32.1%
- 94
22.9%
6 23
 
5.6%
4 22
 
5.4%
8 17
 
4.1%
5 16
 
3.9%
9 10
 
2.4%
3 8
 
1.9%
10 7
 
1.7%
7 6
 
1.5%
Other values (40) 76
18.5%

Length

2023-12-12T13:26:37.063740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 132
32.1%
94
22.9%
6 23
 
5.6%
4 22
 
5.4%
8 17
 
4.1%
5 16
 
3.9%
9 10
 
2.4%
3 8
 
1.9%
10 7
 
1.7%
7 6
 
1.5%
Other values (40) 76
18.5%

광 원 (램프유형) 나트륨
Categorical

IMBALANCE 

Distinct24
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
-
216 
<NA>
145 
2
 
9
9
 
5
8
 
4
Other values (19)
32 

Length

Max length4
Median length3
Mean length3.1557178
Min length1

Unique

Unique13 ?
Unique (%)3.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
- 216
52.6%
<NA> 145
35.3%
2 9
 
2.2%
9 5
 
1.2%
8 4
 
1.0%
3 4
 
1.0%
10 4
 
1.0%
6 4
 
1.0%
4 3
 
0.7%
34 2
 
0.5%
Other values (14) 15
 
3.6%

Length

2023-12-12T13:26:37.223264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
216
52.6%
na 145
35.3%
2 9
 
2.2%
9 5
 
1.2%
8 4
 
1.0%
3 4
 
1.0%
10 4
 
1.0%
6 4
 
1.0%
4 3
 
0.7%
34 2
 
0.5%
Other values (14) 15
 
3.6%

광 원 (램프유형) 기타
Categorical

IMBALANCE 

Distinct21
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
-
241 
<NA>
145 
2
 
4
9
 
2
5
 
2
Other values (16)
 
17

Length

Max length4
Median length3
Mean length3.2627737
Min length1

Unique

Unique15 ?
Unique (%)3.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
- 241
58.6%
<NA> 145
35.3%
2 4
 
1.0%
9 2
 
0.5%
5 2
 
0.5%
3 2
 
0.5%
22 1
 
0.2%
182 1
 
0.2%
28 1
 
0.2%
24 1
 
0.2%
Other values (11) 11
 
2.7%

Length

2023-12-12T13:26:37.390990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
241
58.6%
na 145
35.3%
2 4
 
1.0%
9 2
 
0.5%
5 2
 
0.5%
3 2
 
0.5%
6 1
 
0.2%
16 1
 
0.2%
37 1
 
0.2%
26 1
 
0.2%
Other values (11) 11
 
2.7%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing411
Missing (%)100.0%
Memory size3.7 KiB

Interactions

2023-12-12T13:26:32.356095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:26:37.494841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호공원종류행정동광 원 (램프유형) 계광 원 (램프유형) LED광 원 (램프유형) CDM광 원 (램프유형) 나트륨광 원 (램프유형) 기타
번호1.0000.7170.9440.3780.5860.4580.6180.518
공원종류0.7171.0000.8250.8220.7090.8320.6500.800
행정동0.9440.8251.0000.6630.9420.0000.7390.875
광 원 (램프유형) 계0.3780.8220.6631.0000.9950.9960.9410.973
광 원 (램프유형) LED0.5860.7090.9420.9951.0000.7150.0000.879
광 원 (램프유형) CDM0.4580.8320.0000.9960.7151.0000.0000.755
광 원 (램프유형) 나트륨0.6180.6500.7390.9410.0000.0001.0000.830
광 원 (램프유형) 기타0.5180.8000.8750.9730.8790.7550.8301.000
2023-12-12T13:26:37.664689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원종류광 원 (램프유형) 기타광 원 (램프유형) 나트륨광 원 (램프유형) LED광 원 (램프유형) CDM
공원종류1.0000.4640.3170.2990.444
광 원 (램프유형) 기타0.4641.0000.4120.4170.261
광 원 (램프유형) 나트륨0.3170.4121.0000.0000.000
광 원 (램프유형) LED0.2990.4170.0001.0000.188
광 원 (램프유형) CDM0.4440.2610.0000.1881.000
2023-12-12T13:26:37.820290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호공원종류광 원 (램프유형) LED광 원 (램프유형) CDM광 원 (램프유형) 나트륨광 원 (램프유형) 기타
번호1.0000.4040.2330.1560.2830.228
공원종류0.4041.0000.2990.4440.3170.464
광 원 (램프유형) LED0.2330.2991.0000.1880.0000.417
광 원 (램프유형) CDM0.1560.4440.1881.0000.0000.261
광 원 (램프유형) 나트륨0.2830.3170.0000.0001.0000.412
광 원 (램프유형) 기타0.2280.4640.4170.2610.4121.000

Missing values

2023-12-12T13:26:32.498087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:26:33.029901image/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

번호공원명공원종류행정동소 재 지광 원 (램프유형) 계광 원 (램프유형) LED광 원 (램프유형) CDM광 원 (램프유형) 나트륨광 원 (램프유형) 기타비고
01둔산대근린공원서구 둔산대로 169(한밭수목원)엑스포시민광장8080<NA><NA><NA><NA>
12둔산대근린공원서구 둔산대로 169(한밭수목원)동원수목원142142<NA><NA><NA><NA>
23둔산대근린공원서구 둔산대로 169(한밭수목원)서원수목원196196<NA><NA><NA><NA>
34둔산대근린공원서구 둔산대로 169(한밭수목원)공원등(원형광장)4343<NA><NA><NA><NA>
45둔산대근린공원서구 둔산대로 169(한밭수목원)잔디등(원형광장)4040<NA><NA><NA><NA>
56둔산대근린공원서구 둔산대로 169(한밭수목원)광장 및 식물원 주변3434<NA><NA><NA><NA>
67둔산대근린공원서구 둔산대로 169(한밭수목원)시립연정국악원 주차장1111<NA><NA><NA><NA>
78사정근린공원사정동중구 사정동 산2 일원326298-1018<NA>
89대사근린공원대사동중구 대사동 190-1 일원709527--182<NA>
910호동근린공원호동중구 호동 산10-1 일원745717--<NA>
번호공원명공원종류행정동소 재 지광 원 (램프유형) 계광 원 (램프유형) LED광 원 (램프유형) CDM광 원 (램프유형) 나트륨광 원 (램프유형) 기타비고
401402덕암어린이공원덕암동덕암동 16-1126<NA><NA><NA><NA><NA>
402403목상어린이공원목상동목상동 185-33<NA><NA><NA><NA><NA>
403404후 곡소공원회덕동읍내동 574-13<NA><NA><NA><NA><NA>
404405임천마당소공원회덕동읍내동 517-739<NA><NA><NA><NA><NA>
405406법동소공원법1동법1동 44917<NA><NA><NA><NA><NA>
406407안골문화공원신탄진동신탄진동 137-514<NA><NA><NA><NA><NA>
407408동춘당역사공원송촌동송촌동 46311<NA><NA><NA><NA><NA>
408409송촌체육공원송촌동송촌동 61-2일원34<NA><NA><NA><NA><NA>
409410산호빛체육공원석봉동석봉동 7804<NA><NA><NA><NA><NA>
410411을미기체육공원목상동신일동 214-161<NA><NA><NA><NA><NA>