Overview

Dataset statistics

Number of variables21
Number of observations1229
Missing cells17352
Missing cells (%)67.2%
Duplicate rows46
Duplicate rows (%)3.7%
Total size in memory222.2 KiB
Average record size in memory185.1 B

Variable types

Text3
Categorical3
Numeric15

Dataset

Description인천광역시 서구_가로등정보 현황(노선명, 관리주체, 설치위치, 주소, 가로등 광원 LED, CDM, MH 등)입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15060244&srcSe=7661IVAWM27C61E190

Alerts

Dataset has 46 (3.7%) duplicate rowsDuplicates
가로등 광원(LED100) is highly imbalanced (99.0%)Imbalance
가로등 광원(CMH400W) is highly imbalanced (98.3%)Imbalance
위치명 has 158 (12.9%) missing valuesMissing
주소 has 550 (44.8%) missing valuesMissing
가로등 광원(LED30(모갈)) has 1175 (95.6%) missing valuesMissing
가로등 광원(LED50) has 886 (72.1%) missing valuesMissing
가로등 광원(LED60(모갈)) has 1209 (98.4%) missing valuesMissing
가로등 광원(LED60) has 1207 (98.2%) missing valuesMissing
가로등 광원(LED150) has 566 (46.1%) missing valuesMissing
가로등 광원(LED200) has 1161 (94.5%) missing valuesMissing
가로등 광원(CDM350) has 1178 (95.9%) missing valuesMissing
가로등 광원(CDM250) has 1149 (93.5%) missing valuesMissing
가로등 광원(CDM200) has 1215 (98.9%) missing valuesMissing
가로등 광원(CDM150) has 1220 (99.3%) missing valuesMissing
가로등 광원(CDM70) has 1202 (97.8%) missing valuesMissing
가로등 광원(MH200W) has 1090 (88.7%) missing valuesMissing
가로등 광원(MH350W) has 1013 (82.4%) missing valuesMissing
가로등 광원(M100W) has 1140 (92.8%) missing valuesMissing
가로등 광원(M175W) has 1221 (99.3%) missing valuesMissing

Reproduction

Analysis started2024-03-18 04:33:58.509678
Analysis finished2024-03-18 04:33:59.011784
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노선명
Text

Distinct164
Distinct (%)13.5%
Missing12
Missing (%)1.0%
Memory size9.7 KiB
2024-03-18T13:33:59.155407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length5.4700082
Min length2

Characters and Unicode

Total characters6657
Distinct characters178
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)3.3%

Sample

1st row서곶로
2nd row서곶로
3rd row봉수대로
4th row봉수대로
5th row서곶로
ValueCountFrequency (%)
검단산업단지 77
 
5.1%
청라 71
 
4.7%
봉수대로 71
 
4.7%
경명대로 47
 
3.1%
서곶로 39
 
2.6%
북항 36
 
2.4%
염곡로 36
 
2.4%
건지로 33
 
2.2%
보행자도로 32
 
2.1%
원석로 30
 
2.0%
Other values (153) 1044
68.9%
2024-03-18T13:33:59.474498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 832
 
12.5%
지 483
 
7.3%
단 364
 
5.5%
299
 
4.5%
대 226
 
3.4%
구 153
 
2.3%
검 139
 
2.1%
봉 131
 
2.0%
산 117
 
1.8%
( 116
 
1.7%
Other values (168) 3797
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5775
86.8%
Space Separator 299
 
4.5%
Decimal Number 198
 
3.0%
Open Punctuation 116
 
1.7%
Close Punctuation 116
 
1.7%
Uppercase Letter 87
 
1.3%
Dash Punctuation 49
 
0.7%
Math Symbol 13
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 832
 
14.4%
지 483
 
8.4%
단 364
 
6.3%
대 226
 
3.9%
구 153
 
2.6%
검 139
 
2.4%
봉 131
 
2.3%
산 117
 
2.0%
청 111
 
1.9%
라 106
 
1.8%
Other values (149) 3113
53.9%
Decimal Number
ValueCountFrequency (%)
2 81
40.9%
3 43
21.7%
1 39
19.7%
8 10
 
5.1%
7 9
 
4.5%
6 6
 
3.0%
0 4
 
2.0%
4 4
 
2.0%
5 2
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 28
32.2%
H 28
32.2%
I 28
32.2%
E 3
 
3.4%
Space Separator
ValueCountFrequency (%)
299
100.0%
Open Punctuation
ValueCountFrequency (%)
( 116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Other Punctuation
ValueCountFrequency (%)
# 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5775
86.8%
Common 795
 
11.9%
Latin 87
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 832
 
14.4%
지 483
 
8.4%
단 364
 
6.3%
대 226
 
3.9%
구 153
 
2.6%
검 139
 
2.4%
봉 131
 
2.3%
산 117
 
2.0%
청 111
 
1.9%
라 106
 
1.8%
Other values (149) 3113
53.9%
Common
ValueCountFrequency (%)
299
37.6%
( 116
 
14.6%
) 116
 
14.6%
2 81
 
10.2%
- 49
 
6.2%
3 43
 
5.4%
1 39
 
4.9%
~ 13
 
1.6%
8 10
 
1.3%
7 9
 
1.1%
Other values (5) 20
 
2.5%
Latin
ValueCountFrequency (%)
P 28
32.2%
H 28
32.2%
I 28
32.2%
E 3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5775
86.8%
ASCII 882
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 832
 
14.4%
지 483
 
8.4%
단 364
 
6.3%
대 226
 
3.9%
구 153
 
2.6%
검 139
 
2.4%
봉 131
 
2.3%
산 117
 
2.0%
청 111
 
1.9%
라 106
 
1.8%
Other values (149) 3113
53.9%
ASCII
ValueCountFrequency (%)
299
33.9%
( 116
 
13.2%
) 116
 
13.2%
2 81
 
9.2%
- 49
 
5.6%
3 43
 
4.9%
1 39
 
4.4%
P 28
 
3.2%
H 28
 
3.2%
I 28
 
3.2%
Other values (9) 55
 
6.2%

관리주체
Categorical

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
시
768 
구
307 
<NA>
 
72
아라뱃길
 
45
LH
 
28
Other values (2)
 
9

Length

Max length5
Median length1
Mean length1.3376729
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시 768
62.5%
구 307
 
25.0%
<NA> 72
 
5.9%
아라뱃길 45
 
3.7%
LH 28
 
2.3%
시(종건) 7
 
0.6%
한진중공업 2
 
0.2%

Length

2024-03-18T13:33:59.594816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:33:59.707574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시 768
62.5%
구 307
 
25.0%
na 72
 
5.9%
아라뱃길 45
 
3.7%
lh 28
 
2.3%
시(종건 7
 
0.6%
한진중공업 2
 
0.2%

위치명
Text

MISSING 

Distinct810
Distinct (%)75.6%
Missing158
Missing (%)12.9%
Memory size9.7 KiB
2024-03-18T13:33:59.878599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length7.356676
Min length2

Characters and Unicode

Total characters7879
Distinct characters413
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique737 ?
Unique (%)68.8%

Sample

1st row대인고교앞
2nd row시굴집~검암4
3rd row백석대교
4th row백석대교
5th row백석고교건너
ValueCountFrequency (%)
앞 98
 
6.3%
원창동 44
 
2.8%
sp 39
 
2.5%
오류동 28
 
1.8%
미인수 19
 
1.2%
회로분리 16
 
1.0%
당하동 14
 
0.9%
건너 14
 
0.9%
인수 14
 
0.9%
462동 12
 
0.8%
Other values (907) 1250
80.7%
2024-03-18T13:34:00.170515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
478
 
6.1%
앞 244
 
3.1%
동 241
 
3.1%
- 222
 
2.8%
P 178
 
2.3%
1 175
 
2.2%
L 157
 
2.0%
2 151
 
1.9%
로 125
 
1.6%
4 114
 
1.4%
Other values (403) 5794
73.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5453
69.2%
Decimal Number 1011
 
12.8%
Uppercase Letter 529
 
6.7%
Space Separator 478
 
6.1%
Dash Punctuation 222
 
2.8%
Open Punctuation 53
 
0.7%
Close Punctuation 53
 
0.7%
Math Symbol 42
 
0.5%
Other Punctuation 28
 
0.4%
Other Symbol 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 244
 
4.5%
동 241
 
4.4%
로 125
 
2.3%
원 109
 
2.0%
건 99
 
1.8%
교 99
 
1.8%
리 98
 
1.8%
인 86
 
1.6%
너 84
 
1.5%
지 81
 
1.5%
Other values (364) 4187
76.8%
Uppercase Letter
ValueCountFrequency (%)
P 178
33.6%
L 157
29.7%
C 83
15.7%
S 49
 
9.3%
G 14
 
2.6%
H 11
 
2.1%
E 7
 
1.3%
I 6
 
1.1%
A 6
 
1.1%
K 5
 
0.9%
Other values (6) 13
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 175
17.3%
2 151
14.9%
4 114
11.3%
3 108
10.7%
6 97
9.6%
0 91
9.0%
5 76
7.5%
7 71
7.0%
9 65
 
6.4%
8 63
 
6.2%
Other Punctuation
ValueCountFrequency (%)
# 16
57.1%
, 6
 
21.4%
@ 4
 
14.3%
/ 1
 
3.6%
. 1
 
3.6%
Math Symbol
ValueCountFrequency (%)
~ 38
90.5%
> 4
 
9.5%
Space Separator
ValueCountFrequency (%)
478
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5462
69.3%
Common 1887
 
23.9%
Latin 530
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 244
 
4.5%
동 241
 
4.4%
로 125
 
2.3%
원 109
 
2.0%
건 99
 
1.8%
교 99
 
1.8%
리 98
 
1.8%
인 86
 
1.6%
너 84
 
1.5%
지 81
 
1.5%
Other values (365) 4196
76.8%
Common
ValueCountFrequency (%)
478
25.3%
- 222
11.8%
1 175
 
9.3%
2 151
 
8.0%
4 114
 
6.0%
3 108
 
5.7%
6 97
 
5.1%
0 91
 
4.8%
5 76
 
4.0%
7 71
 
3.8%
Other values (11) 304
16.1%
Latin
ValueCountFrequency (%)
P 178
33.6%
L 157
29.6%
C 83
15.7%
S 49
 
9.2%
G 14
 
2.6%
H 11
 
2.1%
E 7
 
1.3%
I 6
 
1.1%
A 6
 
1.1%
K 5
 
0.9%
Other values (7) 14
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5453
69.2%
ASCII 2417
30.7%
None 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
478
19.8%
- 222
 
9.2%
P 178
 
7.4%
1 175
 
7.2%
L 157
 
6.5%
2 151
 
6.2%
4 114
 
4.7%
3 108
 
4.5%
6 97
 
4.0%
0 91
 
3.8%
Other values (28) 646
26.7%
Hangul
ValueCountFrequency (%)
앞 244
 
4.5%
동 241
 
4.4%
로 125
 
2.3%
원 109
 
2.0%
건 99
 
1.8%
교 99
 
1.8%
리 98
 
1.8%
인 86
 
1.6%
너 84
 
1.5%
지 81
 
1.5%
Other values (364) 4187
76.8%
None
ValueCountFrequency (%)
㈜ 9
100.0%

주소
Text

MISSING 

Distinct519
Distinct (%)76.4%
Missing550
Missing (%)44.8%
Memory size9.7 KiB
2024-03-18T13:34:00.369731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.6966127
Min length2

Characters and Unicode

Total characters5905
Distinct characters317
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique454 ?
Unique (%)66.9%

Sample

1st row공촌동 산30-4
2nd row검암동 227-6번지
3rd row인천종점
4th row인천종점
5th row백석동 산25-3
ValueCountFrequency (%)
경서동 72
 
6.0%
원창동 61
 
5.1%
연희동 31
 
2.6%
인근 24
 
2.0%
가좌동 20
 
1.7%
물류단지 20
 
1.7%
1공구 16
 
1.3%
석남동 15
 
1.2%
보도육교 13
 
1.1%
주변 13
 
1.1%
Other values (592) 918
76.3%
2024-03-18T13:34:00.739766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
607
 
10.3%
동 353
 
6.0%
1 345
 
5.8%
- 310
 
5.2%
3 236
 
4.0%
2 228
 
3.9%
4 172
 
2.9%
6 166
 
2.8%
5 163
 
2.8%
7 141
 
2.4%
Other values (307) 3184
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2991
50.7%
Decimal Number 1797
30.4%
Space Separator 607
 
10.3%
Dash Punctuation 310
 
5.2%
Uppercase Letter 75
 
1.3%
Other Symbol 46
 
0.8%
Other Punctuation 22
 
0.4%
Close Punctuation 19
 
0.3%
Open Punctuation 19
 
0.3%
Math Symbol 18
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 353
 
11.8%
경 91
 
3.0%
원 90
 
3.0%
서 90
 
3.0%
로 82
 
2.7%
지 70
 
2.3%
인 69
 
2.3%
창 66
 
2.2%
가 55
 
1.8%
당 52
 
1.7%
Other values (269) 1973
66.0%
Uppercase Letter
ValueCountFrequency (%)
L 22
29.3%
C 15
20.0%
B 13
17.3%
P 7
 
9.3%
K 4
 
5.3%
T 2
 
2.7%
S 2
 
2.7%
G 2
 
2.7%
E 2
 
2.7%
U 1
 
1.3%
Other values (5) 5
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 345
19.2%
3 236
13.1%
2 228
12.7%
4 172
9.6%
6 166
9.2%
5 163
9.1%
7 141
7.8%
8 133
 
7.4%
9 119
 
6.6%
0 94
 
5.2%
Other Punctuation
ValueCountFrequency (%)
# 12
54.5%
. 4
 
18.2%
, 3
 
13.6%
* 1
 
4.5%
@ 1
 
4.5%
& 1
 
4.5%
Space Separator
ValueCountFrequency (%)
607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 310
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3037
51.4%
Common 2792
47.3%
Latin 76
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 353
 
11.6%
경 91
 
3.0%
원 90
 
3.0%
서 90
 
3.0%
로 82
 
2.7%
지 70
 
2.3%
인 69
 
2.3%
창 66
 
2.2%
가 55
 
1.8%
당 52
 
1.7%
Other values (270) 2019
66.5%
Common
ValueCountFrequency (%)
607
21.7%
1 345
12.4%
- 310
11.1%
3 236
 
8.5%
2 228
 
8.2%
4 172
 
6.2%
6 166
 
5.9%
5 163
 
5.8%
7 141
 
5.1%
8 133
 
4.8%
Other values (11) 291
10.4%
Latin
ValueCountFrequency (%)
L 22
28.9%
C 15
19.7%
B 13
17.1%
P 7
 
9.2%
K 4
 
5.3%
T 2
 
2.6%
S 2
 
2.6%
G 2
 
2.6%
E 2
 
2.6%
U 1
 
1.3%
Other values (6) 6
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2991
50.7%
ASCII 2868
48.6%
None 46
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
607
21.2%
1 345
12.0%
- 310
10.8%
3 236
 
8.2%
2 228
 
7.9%
4 172
 
6.0%
6 166
 
5.8%
5 163
 
5.7%
7 141
 
4.9%
8 133
 
4.6%
Other values (27) 367
12.8%
Hangul
ValueCountFrequency (%)
동 353
 
11.8%
경 91
 
3.0%
원 90
 
3.0%
서 90
 
3.0%
로 82
 
2.7%
지 70
 
2.3%
인 69
 
2.3%
창 66
 
2.2%
가 55
 
1.8%
당 52
 
1.7%
Other values (269) 1973
66.0%
None
ValueCountFrequency (%)
㈜ 46
100.0%

가로등 광원(LED30(모갈))
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)46.3%
Missing1175
Missing (%)95.6%
Infinite0
Infinite (%)0.0%
Mean11.092593
Minimum0
Maximum35
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:00.860599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15.25
median11
Q315
95-th percentile25.35
Maximum35
Range35
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation7.7660814
Coefficient of variation (CV)0.70011418
Kurtosis1.3010103
Mean11.092593
Median Absolute Deviation (MAD)5
Skewness0.96125904
Sum599
Variance60.31202
MonotonicityNot monotonic
2024-03-18T13:34:00.965818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 5
 
0.4%
11 4
 
0.3%
16 4
 
0.3%
8 4
 
0.3%
15 4
 
0.3%
13 3
 
0.2%
12 3
 
0.2%
5 3
 
0.2%
6 3
 
0.2%
3 2
 
0.2%
Other values (15) 19
 
1.5%
(Missing) 1175
95.6%
ValueCountFrequency (%)
0 1
 
0.1%
1 5
0.4%
2 2
 
0.2%
3 2
 
0.2%
4 1
 
0.1%
5 3
0.2%
6 3
0.2%
7 1
 
0.1%
8 4
0.3%
9 2
 
0.2%
ValueCountFrequency (%)
35 1
 
0.1%
33 1
 
0.1%
26 1
 
0.1%
25 1
 
0.1%
22 1
 
0.1%
20 1
 
0.1%
18 1
 
0.1%
17 2
0.2%
16 4
0.3%
15 4
0.3%

가로등 광원(LED50)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)9.6%
Missing886
Missing (%)72.1%
Infinite0
Infinite (%)0.0%
Mean13.405248
Minimum0
Maximum36
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:01.099929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median13
Q318
95-th percentile24
Maximum36
Range36
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.6720747
Coefficient of variation (CV)0.4977211
Kurtosis-0.075151018
Mean13.405248
Median Absolute Deviation (MAD)5
Skewness0.19145751
Sum4598
Variance44.516581
MonotonicityNot monotonic
2024-03-18T13:34:01.207186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
15 26
 
2.1%
10 22
 
1.8%
13 22
 
1.8%
8 21
 
1.7%
14 21
 
1.7%
20 20
 
1.6%
16 17
 
1.4%
12 16
 
1.3%
11 15
 
1.2%
17 15
 
1.2%
Other values (23) 148
 
12.0%
(Missing) 886
72.1%
ValueCountFrequency (%)
0 3
 
0.2%
1 12
1.0%
2 6
 
0.5%
3 6
 
0.5%
4 10
0.8%
5 8
 
0.7%
6 5
 
0.4%
7 14
1.1%
8 21
1.7%
9 12
1.0%
ValueCountFrequency (%)
36 1
 
0.1%
32 1
 
0.1%
31 2
 
0.2%
30 2
 
0.2%
28 2
 
0.2%
27 1
 
0.1%
26 2
 
0.2%
25 3
0.2%
24 6
0.5%
23 5
0.4%

가로등 광원(LED60(모갈))
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)60.0%
Missing1209
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean11.1
Minimum2
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:01.302540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15.75
median9
Q314.25
95-th percentile31
Maximum31
Range29
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation8.2391875
Coefficient of variation (CV)0.74226914
Kurtosis1.7788569
Mean11.1
Median Absolute Deviation (MAD)4.5
Skewness1.362479
Sum222
Variance67.884211
MonotonicityNot monotonic
2024-03-18T13:34:01.384284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
13 3
 
0.2%
6 3
 
0.2%
16 2
 
0.2%
2 2
 
0.2%
9 2
 
0.2%
31 2
 
0.2%
14 1
 
0.1%
5 1
 
0.1%
8 1
 
0.1%
15 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 1209
98.4%
ValueCountFrequency (%)
2 2
0.2%
3 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
6 3
0.2%
8 1
 
0.1%
9 2
0.2%
13 3
0.2%
14 1
 
0.1%
15 1
 
0.1%
ValueCountFrequency (%)
31 2
0.2%
16 2
0.2%
15 1
 
0.1%
14 1
 
0.1%
13 3
0.2%
9 2
0.2%
8 1
 
0.1%
6 3
0.2%
5 1
 
0.1%
4 1
 
0.1%

가로등 광원(LED60)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)77.3%
Missing1207
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean17.318182
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:01.469443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q319
95-th percentile63.9
Maximum94
Range93
Interquartile range (IQR)14

Descriptive statistics

Standard deviation22.701765
Coefficient of variation (CV)1.3108631
Kurtosis6.1960774
Mean17.318182
Median Absolute Deviation (MAD)6
Skewness2.4653894
Sum381
Variance515.37013
MonotonicityNot monotonic
2024-03-18T13:34:01.558070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 3
 
0.2%
12 2
 
0.2%
5 2
 
0.2%
22 2
 
0.2%
16 1
 
0.1%
1 1
 
0.1%
20 1
 
0.1%
13 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
Other values (7) 7
 
0.6%
(Missing) 1207
98.2%
ValueCountFrequency (%)
1 1
 
0.1%
2 3
0.2%
4 1
 
0.1%
5 2
0.2%
6 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
11 1
 
0.1%
12 2
0.2%
ValueCountFrequency (%)
94 1
0.1%
65 1
0.1%
43 1
0.1%
22 2
0.2%
20 1
0.1%
16 1
0.1%
13 1
0.1%
12 2
0.2%
11 1
0.1%
9 1
0.1%

가로등 광원(LED100)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
<NA>
1228 
35
 
1

Length

Max length4
Median length4
Mean length3.9983727
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1228
99.9%
35 1
 
0.1%

Length

2024-03-18T13:34:01.690885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:34:01.782033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1228
99.9%
35 1
 
0.1%

가로등 광원(LED150)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)6.0%
Missing566
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean12.476621
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:01.862301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median11
Q317
95-th percentile26
Maximum48
Range47
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.2881342
Coefficient of variation (CV)0.58414325
Kurtosis1.9256185
Mean12.476621
Median Absolute Deviation (MAD)4
Skewness0.99460254
Sum8272
Variance53.1169
MonotonicityNot monotonic
2024-03-18T13:34:01.966865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
9 50
 
4.1%
11 43
 
3.5%
14 42
 
3.4%
7 39
 
3.2%
8 39
 
3.2%
10 36
 
2.9%
12 32
 
2.6%
15 30
 
2.4%
13 29
 
2.4%
16 26
 
2.1%
Other values (30) 297
24.2%
(Missing) 566
46.1%
ValueCountFrequency (%)
1 21
1.7%
2 24
2.0%
3 13
 
1.1%
4 25
2.0%
5 21
1.7%
6 25
2.0%
7 39
3.2%
8 39
3.2%
9 50
4.1%
10 36
2.9%
ValueCountFrequency (%)
48 1
 
0.1%
46 1
 
0.1%
44 1
 
0.1%
39 1
 
0.1%
36 2
0.2%
35 1
 
0.1%
34 2
0.2%
33 1
 
0.1%
32 3
0.2%
31 1
 
0.1%

가로등 광원(LED200)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)33.8%
Missing1161
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:02.072191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q16.75
median12
Q315
95-th percentile20.65
Maximum23
Range22
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation5.8181394
Coefficient of variation (CV)0.52892177
Kurtosis-0.7820938
Mean11
Median Absolute Deviation (MAD)4
Skewness0.0023423892
Sum748
Variance33.850746
MonotonicityNot monotonic
2024-03-18T13:34:02.161889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
15 9
 
0.7%
12 6
 
0.5%
16 5
 
0.4%
8 5
 
0.4%
1 4
 
0.3%
11 4
 
0.3%
5 4
 
0.3%
7 4
 
0.3%
6 3
 
0.2%
14 3
 
0.2%
Other values (13) 21
 
1.7%
(Missing) 1161
94.5%
ValueCountFrequency (%)
1 4
0.3%
2 3
0.2%
3 2
 
0.2%
4 1
 
0.1%
5 4
0.3%
6 3
0.2%
7 4
0.3%
8 5
0.4%
9 2
 
0.2%
10 1
 
0.1%
ValueCountFrequency (%)
23 1
 
0.1%
22 2
 
0.2%
21 1
 
0.1%
20 2
 
0.2%
19 1
 
0.1%
18 1
 
0.1%
17 1
 
0.1%
16 5
0.4%
15 9
0.7%
14 3
 
0.2%

가로등 광원(CDM350)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)39.2%
Missing1178
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean10.235294
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:02.246370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q17
median8
Q315
95-th percentile21.5
Maximum23
Range22
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.1760448
Coefficient of variation (CV)0.60340668
Kurtosis-0.64815649
Mean10.235294
Median Absolute Deviation (MAD)3
Skewness0.47531538
Sum522
Variance38.143529
MonotonicityNot monotonic
2024-03-18T13:34:02.331136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8 10
 
0.8%
11 6
 
0.5%
7 5
 
0.4%
2 3
 
0.2%
18 3
 
0.2%
5 3
 
0.2%
1 3
 
0.2%
23 2
 
0.2%
10 2
 
0.2%
3 2
 
0.2%
Other values (10) 12
 
1.0%
(Missing) 1178
95.9%
ValueCountFrequency (%)
1 3
 
0.2%
2 3
 
0.2%
3 2
 
0.2%
4 1
 
0.1%
5 3
 
0.2%
7 5
0.4%
8 10
0.8%
10 2
 
0.2%
11 6
0.5%
12 1
 
0.1%
ValueCountFrequency (%)
23 2
0.2%
22 1
 
0.1%
21 1
 
0.1%
20 1
 
0.1%
19 1
 
0.1%
18 3
0.2%
17 2
0.2%
16 2
0.2%
14 1
 
0.1%
13 1
 
0.1%

가로등 광원(CDM250)
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)40.0%
Missing1149
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean17.125
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:02.423241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.9
Q18
median16
Q323.25
95-th percentile37.15
Maximum51
Range50
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation10.658538
Coefficient of variation (CV)0.62239637
Kurtosis0.95647521
Mean17.125
Median Absolute Deviation (MAD)8
Skewness0.94579007
Sum1370
Variance113.60443
MonotonicityNot monotonic
2024-03-18T13:34:02.517113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
19 7
 
0.6%
7 6
 
0.5%
8 6
 
0.5%
24 6
 
0.5%
15 6
 
0.5%
11 4
 
0.3%
30 3
 
0.2%
18 3
 
0.2%
17 3
 
0.2%
13 3
 
0.2%
Other values (22) 33
 
2.7%
(Missing) 1149
93.5%
ValueCountFrequency (%)
1 2
 
0.2%
2 2
 
0.2%
4 2
 
0.2%
5 2
 
0.2%
6 2
 
0.2%
7 6
0.5%
8 6
0.5%
9 1
 
0.1%
10 1
 
0.1%
11 4
0.3%
ValueCountFrequency (%)
51 1
 
0.1%
48 1
 
0.1%
41 1
 
0.1%
40 1
 
0.1%
37 2
0.2%
33 1
 
0.1%
31 1
 
0.1%
30 3
0.2%
27 1
 
0.1%
26 2
0.2%

가로등 광원(CDM200)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)71.4%
Missing1215
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean7.5
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:02.601311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q311.25
95-th percentile21.1
Maximum25
Range24
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation7.7434836
Coefficient of variation (CV)1.0324645
Kurtosis0.4174727
Mean7.5
Median Absolute Deviation (MAD)4
Skewness1.1144714
Sum105
Variance59.961538
MonotonicityNot monotonic
2024-03-18T13:34:02.698158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 5
 
0.4%
8 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%
15 1
 
0.1%
19 1
 
0.1%
25 1
 
0.1%
2 1
 
0.1%
12 1
 
0.1%
(Missing) 1215
98.9%
ValueCountFrequency (%)
1 5
0.4%
2 1
 
0.1%
3 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
12 1
 
0.1%
15 1
 
0.1%
19 1
 
0.1%
25 1
 
0.1%
ValueCountFrequency (%)
25 1
 
0.1%
19 1
 
0.1%
15 1
 
0.1%
12 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
1 5
0.4%

가로등 광원(CDM150)
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)66.7%
Missing1220
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean7.8888889
Minimum2
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:02.818556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.8
Q14
median4
Q38
95-th percentile20.2
Maximum25
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.2014659
Coefficient of variation (CV)0.91286187
Kurtosis4.2450165
Mean7.8888889
Median Absolute Deviation (MAD)2
Skewness2.0239288
Sum71
Variance51.861111
MonotonicityNot monotonic
2024-03-18T13:34:02.949084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 4
 
0.3%
7 1
 
0.1%
25 1
 
0.1%
8 1
 
0.1%
2 1
 
0.1%
13 1
 
0.1%
(Missing) 1220
99.3%
ValueCountFrequency (%)
2 1
 
0.1%
4 4
0.3%
7 1
 
0.1%
8 1
 
0.1%
13 1
 
0.1%
25 1
 
0.1%
ValueCountFrequency (%)
25 1
 
0.1%
13 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
4 4
0.3%
2 1
 
0.1%

가로등 광원(CDM70)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)70.4%
Missing1202
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean12.074074
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:03.029869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q317.5
95-th percentile28.7
Maximum40
Range39
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation9.746502
Coefficient of variation (CV)0.80722563
Kurtosis1.2093123
Mean12.074074
Median Absolute Deviation (MAD)6
Skewness1.1760425
Sum326
Variance94.994302
MonotonicityNot monotonic
2024-03-18T13:34:03.365034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
8 3
 
0.2%
1 3
 
0.2%
19 2
 
0.2%
3 2
 
0.2%
5 2
 
0.2%
12 2
 
0.2%
28 1
 
0.1%
40 1
 
0.1%
24 1
 
0.1%
16 1
 
0.1%
Other values (9) 9
 
0.7%
(Missing) 1202
97.8%
ValueCountFrequency (%)
1 3
0.2%
3 2
0.2%
4 1
 
0.1%
5 2
0.2%
6 1
 
0.1%
7 1
 
0.1%
8 3
0.2%
9 1
 
0.1%
10 1
 
0.1%
12 2
0.2%
ValueCountFrequency (%)
40 1
0.1%
29 1
0.1%
28 1
0.1%
24 1
0.1%
20 1
0.1%
19 2
0.2%
16 1
0.1%
15 1
0.1%
13 1
0.1%
12 2
0.2%

가로등 광원(MH200W)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)21.6%
Missing1090
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean13.280576
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:03.463761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median13
Q318
95-th percentile24.1
Maximum33
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.2552118
Coefficient of variation (CV)0.54630251
Kurtosis-0.68737287
Mean13.280576
Median Absolute Deviation (MAD)5
Skewness0.15800832
Sum1846
Variance52.638098
MonotonicityNot monotonic
2024-03-18T13:34:03.616918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
16 11
 
0.9%
18 10
 
0.8%
9 10
 
0.8%
11 9
 
0.7%
15 7
 
0.6%
17 7
 
0.6%
8 7
 
0.6%
4 7
 
0.6%
24 6
 
0.5%
2 6
 
0.5%
Other values (20) 59
 
4.8%
(Missing) 1090
88.7%
ValueCountFrequency (%)
1 4
 
0.3%
2 6
0.5%
3 5
0.4%
4 7
0.6%
5 4
 
0.3%
6 3
 
0.2%
7 3
 
0.2%
8 7
0.6%
9 10
0.8%
10 3
 
0.2%
ValueCountFrequency (%)
33 1
 
0.1%
29 1
 
0.1%
28 1
 
0.1%
27 2
 
0.2%
26 1
 
0.1%
25 1
 
0.1%
24 6
0.5%
23 2
 
0.2%
22 5
0.4%
21 4
0.3%

가로등 광원(MH350W)
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)15.7%
Missing1013
Missing (%)82.4%
Infinite0
Infinite (%)0.0%
Mean10.800926
Minimum0
Maximum47
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:03.735407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median10
Q314
95-th percentile26.25
Maximum47
Range47
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.201656
Coefficient of variation (CV)0.7593475
Kurtosis1.9795334
Mean10.800926
Median Absolute Deviation (MAD)5
Skewness1.2107286
Sum2333
Variance67.267162
MonotonicityNot monotonic
2024-03-18T13:34:03.869490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 23
 
1.9%
2 15
 
1.2%
11 15
 
1.2%
10 13
 
1.1%
14 13
 
1.1%
9 13
 
1.1%
6 12
 
1.0%
4 12
 
1.0%
8 11
 
0.9%
7 11
 
0.9%
Other values (24) 78
 
6.3%
(Missing) 1013
82.4%
ValueCountFrequency (%)
0 1
 
0.1%
1 23
1.9%
2 15
1.2%
3 5
 
0.4%
4 12
1.0%
5 3
 
0.2%
6 12
1.0%
7 11
0.9%
8 11
0.9%
9 13
1.1%
ValueCountFrequency (%)
47 1
 
0.1%
39 1
 
0.1%
35 1
 
0.1%
33 2
0.2%
31 2
0.2%
29 1
 
0.1%
28 1
 
0.1%
27 2
0.2%
26 4
0.3%
25 4
0.3%

가로등 광원(CMH400W)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
<NA>
1227 
17
 
2

Length

Max length4
Median length4
Mean length3.9967453
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1227
99.8%
17 2
 
0.2%

Length

2024-03-18T13:34:03.977583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:34:04.077418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1227
99.8%
17 2
 
0.2%

가로등 광원(M100W)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)25.8%
Missing1140
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean10.719101
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:04.165414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median9
Q315
95-th percentile20
Maximum25
Range24
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.2139666
Coefficient of variation (CV)0.57970967
Kurtosis-0.82169427
Mean10.719101
Median Absolute Deviation (MAD)4
Skewness0.42365582
Sum954
Variance38.613381
MonotonicityNot monotonic
2024-03-18T13:34:04.259037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
9 10
 
0.8%
20 7
 
0.6%
4 6
 
0.5%
6 6
 
0.5%
12 5
 
0.4%
11 5
 
0.4%
19 5
 
0.4%
2 5
 
0.4%
7 5
 
0.4%
5 5
 
0.4%
Other values (13) 30
 
2.4%
(Missing) 1140
92.8%
ValueCountFrequency (%)
1 2
 
0.2%
2 5
0.4%
3 3
 
0.2%
4 6
0.5%
5 5
0.4%
6 6
0.5%
7 5
0.4%
8 3
 
0.2%
9 10
0.8%
10 4
 
0.3%
ValueCountFrequency (%)
25 2
 
0.2%
22 1
 
0.1%
21 1
 
0.1%
20 7
0.6%
19 5
0.4%
18 4
0.3%
17 1
 
0.1%
16 1
 
0.1%
15 2
 
0.2%
14 3
0.2%

가로등 광원(M175W)
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing1221
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum5
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-18T13:34:04.348130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7.8
Q113.75
median16
Q318.5
95-th percentile21.3
Maximum22
Range17
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation5.1823878
Coefficient of variation (CV)0.3343476
Kurtosis1.9606496
Mean15.5
Median Absolute Deviation (MAD)2.5
Skewness-1.087973
Sum124
Variance26.857143
MonotonicityNot monotonic
2024-03-18T13:34:04.444569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
16 2
 
0.2%
5 1
 
0.1%
13 1
 
0.1%
22 1
 
0.1%
14 1
 
0.1%
20 1
 
0.1%
18 1
 
0.1%
(Missing) 1221
99.3%
ValueCountFrequency (%)
5 1
0.1%
13 1
0.1%
14 1
0.1%
16 2
0.2%
18 1
0.1%
20 1
0.1%
22 1
0.1%
ValueCountFrequency (%)
22 1
0.1%
20 1
0.1%
18 1
0.1%
16 2
0.2%
14 1
0.1%
13 1
0.1%
5 1
0.1%

Sample

노선명관리주체위치명주소가로등 광원(LED30(모갈))가로등 광원(LED50)가로등 광원(LED60(모갈))가로등 광원(LED60)가로등 광원(LED100)가로등 광원(LED150)가로등 광원(LED200)가로등 광원(CDM350)가로등 광원(CDM250)가로등 광원(CDM200)가로등 광원(CDM150)가로등 광원(CDM70)가로등 광원(MH200W)가로등 광원(MH350W)가로등 광원(CMH400W)가로등 광원(M100W)가로등 광원(M175W)
0서곶로시대인고교앞공촌동 산30-451<NA><NA><NA>21<NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA>
1서곶로시시굴집~검암4검암동 227-6번지113<NA><NA><NA>27<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2봉수대로시백석대교인천종점<NA>15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15<NA><NA><NA>
3봉수대로시백석대교인천종점<NA>15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15<NA><NA><NA>
4서곶로시백석고교건너백석동 산25-3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14<NA><NA><NA>
5서곶로시E-MART 앞<NA><NA>5<NA><NA><NA>9<NA><NA><NA><NA><NA><NA><NA>2<NA><NA>5
6서곶로시광역주유소앞검암동 106-1<NA>4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA><NA><NA>
7서곶로시백석고교앞백석동 66-1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA><NA><NA>
8당하지구시현대4차 뒷편당하동 889-7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA><NA><NA><NA><NA>
9서곶로시검암역 입구검암동 108-2<NA><NA><NA><NA><NA>4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
노선명관리주체위치명주소가로등 광원(LED30(모갈))가로등 광원(LED50)가로등 광원(LED60(모갈))가로등 광원(LED60)가로등 광원(LED100)가로등 광원(LED150)가로등 광원(LED200)가로등 광원(CDM350)가로등 광원(CDM250)가로등 광원(CDM200)가로등 광원(CDM150)가로등 광원(CDM70)가로등 광원(MH200W)가로등 광원(MH350W)가로등 광원(CMH400W)가로등 광원(M100W)가로등 광원(M175W)
1219검단식품산업단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1220검단식품산업단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1221검단식품산업단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1222검단식품산업단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1223검단식품산업단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1224검단식품산업단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1225검단식품산업단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1226검단식품산업단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1227검단식품산업단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1228검단식품산업단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

노선명관리주체위치명주소가로등 광원(LED30(모갈))가로등 광원(LED50)가로등 광원(LED60(모갈))가로등 광원(LED60)가로등 광원(LED100)가로등 광원(LED150)가로등 광원(LED200)가로등 광원(CDM350)가로등 광원(CDM250)가로등 광원(CDM200)가로등 광원(CDM150)가로등 광원(CDM70)가로등 광원(MH200W)가로등 광원(MH350W)가로등 광원(CMH400W)가로등 광원(M100W)가로등 광원(M175W)# duplicates
37청라 상가지구및 보행자도로 분리구<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>24
34청라 IHP 인수예정LHSP1공구<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16
3검단식품산업단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14
35청라 IHP 인수예정LHSP2공구<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12
02-3단계<NA>미인수<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8
44친환경복합단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8
36청라 보행자도로추가 예정<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7
2거첨로아라뱃길오류왕길동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5
25불로지구(2공구)시(종건)SP<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5
27서부자원특화단지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5