Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows9
Duplicate rows (%)0.1%
Total size in memory2.7 MiB
Average record size in memory288.0 B

Variable types

Categorical27
Text1
Numeric3
DateTime1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15965/S/1/datasetView.do

Alerts

기관 명 has constant value ""Constant
모델명 has constant value ""Constant
심야소등시작시간 has constant value ""Constant
심야소등시작분 has constant value ""Constant
심야소등해제분 has constant value ""Constant
디밍시1 has constant value ""Constant
디밍분1 has constant value ""Constant
디밍시2 has constant value ""Constant
디밍분2 has constant value ""Constant
디밍시3 has constant value ""Constant
디밍분3 has constant value ""Constant
이상점등(정상:0, 고장:1) has constant value ""Constant
Dataset has 9 (0.1%) duplicate rowsDuplicates
지역ID is highly imbalanced (99.0%)Imbalance
소등편차 is highly imbalanced (78.4%)Imbalance
심야소등해제시간 is highly imbalanced (99.7%)Imbalance
심야소등적용기간 is highly imbalanced (99.1%)Imbalance
디밍값1(%) is highly imbalanced (99.2%)Imbalance
디밍값2(%) is highly imbalanced (99.0%)Imbalance
디밍값3(%) is highly imbalanced (99.2%)Imbalance
현재디밍값(%) is highly imbalanced (99.2%)Imbalance
램프고장(정상:0, 고장:1) is highly imbalanced (99.1%)Imbalance
누전발생(정상:0, 고장:1) is highly imbalanced (99.7%)Imbalance
안정기고장(정상:0, 고장:1) is highly imbalanced (99.5%)Imbalance
깜빡거림(정상:0, 고장:1) is highly imbalanced (98.0%)Imbalance
수동/강제상태(정상:0, 고장:1) is highly imbalanced (99.2%)Imbalance
현재전력값(W) has 3695 (37.0%) zerosZeros

Reproduction

Analysis started2024-05-17 23:25:43.984236
Analysis finished2024-05-17 23:25:46.153298
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관 명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강북구
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강북구 10000
100.0%

Length

2024-05-18T08:25:46.358778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:46.662579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강북구 10000
100.0%

모델명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
BMC-300S
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBMC-300S
2nd rowBMC-300S
3rd rowBMC-300S
4th rowBMC-300S
5th rowBMC-300S

Common Values

ValueCountFrequency (%)
BMC-300S 10000
100.0%

Length

2024-05-18T08:25:47.025223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:47.399061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bmc-300s 10000
100.0%

시리얼
Text

Distinct1953
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T08:25:47.995109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters150000
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)0.4%

Sample

1st row359369084306766
2nd row019010d00003e7f
3rd row019010d0001469f
4th row359369083484093
5th row359369083516688
ValueCountFrequency (%)
019010d00013700 13
 
0.1%
019010d00010f11 13
 
0.1%
019010d00005065 12
 
0.1%
019010d00003a03 12
 
0.1%
019010d00003ea8 12
 
0.1%
359369083342291 12
 
0.1%
019010d00003a08 12
 
0.1%
019010d00010eda 12
 
0.1%
019010d0001225b 11
 
0.1%
019010d00003f42 11
 
0.1%
Other values (1943) 9880
98.8%
2024-05-18T08:25:49.170824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43681
29.1%
3 21773
14.5%
9 18847
12.6%
1 15195
 
10.1%
5 9012
 
6.0%
8 8343
 
5.6%
6 7905
 
5.3%
4 6451
 
4.3%
d 6262
 
4.2%
2 4282
 
2.9%
Other values (6) 8249
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138580
92.4%
Lowercase Letter 11420
 
7.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43681
31.5%
3 21773
15.7%
9 18847
13.6%
1 15195
 
11.0%
5 9012
 
6.5%
8 8343
 
6.0%
6 7905
 
5.7%
4 6451
 
4.7%
2 4282
 
3.1%
7 3091
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
d 6262
54.8%
e 1310
 
11.5%
f 1151
 
10.1%
a 1013
 
8.9%
c 942
 
8.2%
b 742
 
6.5%

Most occurring scripts

ValueCountFrequency (%)
Common 138580
92.4%
Latin 11420
 
7.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43681
31.5%
3 21773
15.7%
9 18847
13.6%
1 15195
 
11.0%
5 9012
 
6.5%
8 8343
 
6.0%
6 7905
 
5.7%
4 6451
 
4.7%
2 4282
 
3.1%
7 3091
 
2.2%
Latin
ValueCountFrequency (%)
d 6262
54.8%
e 1310
 
11.5%
f 1151
 
10.1%
a 1013
 
8.9%
c 942
 
8.2%
b 742
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43681
29.1%
3 21773
14.5%
9 18847
12.6%
1 15195
 
10.1%
5 9012
 
6.0%
8 8343
 
5.6%
6 7905
 
5.3%
4 6451
 
4.3%
d 6262
 
4.2%
2 4282
 
2.9%
Other values (6) 8249
 
5.5%

접속간격
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
120
5010 
240
4983 
100
 
7

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row240
2nd row120
3rd row120
4th row240
5th row240

Common Values

ValueCountFrequency (%)
120 5010
50.1%
240 4983
49.8%
100 7
 
0.1%

Length

2024-05-18T08:25:49.680268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:50.216624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
120 5010
50.1%
240 4983
49.8%
100 7
 
0.1%

수동유지
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.0045
Minimum0
Maximum30
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T08:25:50.565991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.802555
Coefficient of variation (CV)0.18017443
Kurtosis90.397174
Mean10.0045
Median Absolute Deviation (MAD)0
Skewness6.8863296
Sum100045
Variance3.2492047
MonotonicityNot monotonic
2024-05-18T08:25:50.983234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10 9754
97.5%
30 58
 
0.6%
2 57
 
0.6%
3 41
 
0.4%
4 27
 
0.3%
1 13
 
0.1%
5 11
 
0.1%
9 10
 
0.1%
6 6
 
0.1%
20 6
 
0.1%
Other values (3) 17
 
0.2%
ValueCountFrequency (%)
0 6
 
0.1%
1 13
 
0.1%
2 57
 
0.6%
3 41
 
0.4%
4 27
 
0.3%
5 11
 
0.1%
6 6
 
0.1%
8 5
 
0.1%
9 10
 
0.1%
10 9754
97.5%
ValueCountFrequency (%)
30 58
 
0.6%
20 6
 
0.1%
11 6
 
0.1%
10 9754
97.5%
9 10
 
0.1%
8 5
 
0.1%
6 6
 
0.1%
5 11
 
0.1%
4 27
 
0.3%
3 41
 
0.4%

지역ID
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9987 
0
 
7
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 9987
99.9%
0 7
 
0.1%
2 6
 
0.1%

Length

2024-05-18T08:25:51.621874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:51.929035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9987
99.9%
0 7
 
0.1%
2 6
 
0.1%

점등편차
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.0583
Minimum-45
Maximum-5
Zeros0
Zeros (%)0.0%
Negative10000
Negative (%)100.0%
Memory size166.0 KiB
2024-05-18T08:25:52.314844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-45
5-th percentile-15
Q1-15
median-15
Q3-15
95-th percentile-15
Maximum-5
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2148451
Coefficient of variation (CV)-0.080676114
Kurtosis444.73078
Mean-15.0583
Median Absolute Deviation (MAD)0
Skewness-19.447445
Sum-150583
Variance1.4758487
MonotonicityNot monotonic
2024-05-18T08:25:52.738513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-15 9938
99.4%
-30 17
 
0.2%
-20 16
 
0.2%
-45 11
 
0.1%
-10 10
 
0.1%
-17 4
 
< 0.1%
-5 4
 
< 0.1%
ValueCountFrequency (%)
-45 11
 
0.1%
-30 17
 
0.2%
-20 16
 
0.2%
-17 4
 
< 0.1%
-15 9938
99.4%
-10 10
 
0.1%
-5 4
 
< 0.1%
ValueCountFrequency (%)
-5 4
 
< 0.1%
-10 10
 
0.1%
-15 9938
99.4%
-17 4
 
< 0.1%
-20 16
 
0.2%
-30 17
 
0.2%
-45 11
 
0.1%

소등편차
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
15
9159 
5
 
820
13
 
14
10
 
7

Length

Max length2
Median length2
Mean length1.918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15
2nd row15
3rd row15
4th row15
5th row15

Common Values

ValueCountFrequency (%)
15 9159
91.6%
5 820
 
8.2%
13 14
 
0.1%
10 7
 
0.1%

Length

2024-05-18T08:25:53.249731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:53.546520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 9159
91.6%
5 820
 
8.2%
13 14
 
0.1%
10 7
 
0.1%

심야소등시작시간
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
XX
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
XX 10000
100.0%

Length

2024-05-18T08:25:54.014555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:54.432150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
xx 10000
100.0%

심야소등시작분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-05-18T08:25:54.876333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:55.170198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

심야소등해제시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9998 
19
 
2

Length

Max length2
Median length1
Mean length1.0002
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9998
> 99.9%
19 2
 
< 0.1%

Length

2024-05-18T08:25:55.568884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:55.956000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9998
> 99.9%
19 2
 
< 0.1%

심야소등해제분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-05-18T08:25:56.392586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:56.924396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

심야소등적용기간
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1011231
9986 
1030
 
7
12011231
 
5
6011231
 
2

Length

Max length8
Median length7
Mean length6.9984
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1011231
2nd row1011231
3rd row1011231
4th row1011231
5th row1011231

Common Values

ValueCountFrequency (%)
1011231 9986
99.9%
1030 7
 
0.1%
12011231 5
 
0.1%
6011231 2
 
< 0.1%

Length

2024-05-18T08:25:57.597694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:58.351775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1011231 9986
99.9%
1030 7
 
0.1%
12011231 5
 
< 0.1%
6011231 2
 
< 0.1%

디밍시1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
XX
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
XX 10000
100.0%

Length

2024-05-18T08:25:58.704203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:59.003034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
xx 10000
100.0%

디밍분1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-05-18T08:25:59.430319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:25:59.791527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

디밍값1(%)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100
9993 
96
 
7

Length

Max length3
Median length3
Mean length2.9993
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 9993
99.9%
96 7
 
0.1%

Length

2024-05-18T08:26:00.121146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:00.482786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9993
99.9%
96 7
 
0.1%

디밍시2
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
XX
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
XX 10000
100.0%

Length

2024-05-18T08:26:00.765876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:01.034162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
xx 10000
100.0%

디밍분2
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-05-18T08:26:01.301994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:01.620881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

디밍값2(%)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100
9987 
96
 
7
30
 
6

Length

Max length3
Median length3
Mean length2.9987
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 9987
99.9%
96 7
 
0.1%
30 6
 
0.1%

Length

2024-05-18T08:26:02.039186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:02.361139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9987
99.9%
96 7
 
0.1%
30 6
 
0.1%

디밍시3
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
XX
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
XX 10000
100.0%

Length

2024-05-18T08:26:02.721656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:03.023219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
xx 10000
100.0%

디밍분3
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-05-18T08:26:03.340306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:03.507320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

디밍값3(%)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100
9993 
96
 
7

Length

Max length3
Median length3
Mean length2.9993
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 9993
99.9%
96 7
 
0.1%

Length

2024-05-18T08:26:03.754750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:04.052379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9993
99.9%
96 7
 
0.1%

현재디밍값(%)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100
9993 
96
 
7

Length

Max length3
Median length3
Mean length2.9993
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 9993
99.9%
96 7
 
0.1%

Length

2024-05-18T08:26:04.286737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:04.470749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9993
99.9%
96 7
 
0.1%

현재전력값(W)
Real number (ℝ)

ZEROS 

Distinct125
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.9266
Minimum0
Maximum220
Zeros3695
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T08:26:04.770111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32
Q353
95-th percentile102
Maximum220
Range220
Interquartile range (IQR)53

Descriptive statistics

Standard deviation32.361074
Coefficient of variation (CV)0.95385551
Kurtosis1.4571206
Mean33.9266
Median Absolute Deviation (MAD)24
Skewness0.90088757
Sum339266
Variance1047.2391
MonotonicityNot monotonic
2024-05-18T08:26:05.176747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3695
37.0%
53 590
 
5.9%
52 527
 
5.3%
51 453
 
4.5%
54 450
 
4.5%
49 423
 
4.2%
27 382
 
3.8%
48 288
 
2.9%
26 262
 
2.6%
55 247
 
2.5%
Other values (115) 2683
26.8%
ValueCountFrequency (%)
0 3695
37.0%
1 2
 
< 0.1%
23 5
 
0.1%
24 14
 
0.1%
25 74
 
0.7%
26 262
 
2.6%
27 382
 
3.8%
28 174
 
1.7%
29 130
 
1.3%
30 122
 
1.2%
ValueCountFrequency (%)
220 5
0.1%
216 1
 
< 0.1%
212 1
 
< 0.1%
208 4
< 0.1%
205 1
 
< 0.1%
203 2
 
< 0.1%
201 3
< 0.1%
198 1
 
< 0.1%
172 1
 
< 0.1%
169 1
 
< 0.1%

램프고장(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9992 
1
 
8

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 9992
99.9%
1 8
 
0.1%

Length

2024-05-18T08:26:05.512619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:05.819235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9992
99.9%
1 8
 
0.1%

이상점등(정상:0, 고장:1)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-05-18T08:26:06.149977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:06.444613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

누전발생(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9998 
1
 
2

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 9998
> 99.9%
1 2
 
< 0.1%

Length

2024-05-18T08:26:06.954396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:07.252790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9998
> 99.9%
1 2
 
< 0.1%

안정기고장(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9996 
1
 
4

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 9996
> 99.9%
1 4
 
< 0.1%

Length

2024-05-18T08:26:07.525449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:07.830654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9996
> 99.9%
1 4
 
< 0.1%

깜빡거림(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9981 
1
 
19

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 9981
99.8%
1 19
 
0.2%

Length

2024-05-18T08:26:08.131701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:08.528879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9981
99.8%
1 19
 
0.2%

점소등상태(정상:0, 고장:1)
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
6306 
0
3694 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 6306
63.1%
0 3694
36.9%

Length

2024-05-18T08:26:08.905362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:09.220840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6306
63.1%
0 3694
36.9%

수동/강제상태(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
9993 
0
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 9993
99.9%
0 7
 
0.1%

Length

2024-05-18T08:26:09.572651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:26:09.923970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9993
99.9%
0 7
 
0.1%

등록일자
Date

Distinct7393
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-01-22 00:00:37
Maximum2024-01-23 04:22:31
2024-05-18T08:26:10.288163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:26:10.884639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

기관 명모델명시리얼접속간격수동유지지역ID점등편차소등편차심야소등시작시간심야소등시작분심야소등해제시간심야소등해제분심야소등적용기간디밍시1디밍분1디밍값1(%)디밍시2디밍분2디밍값2(%)디밍시3디밍분3디밍값3(%)현재디밍값(%)현재전력값(W)램프고장(정상:0, 고장:1)이상점등(정상:0, 고장:1)누전발생(정상:0, 고장:1)안정기고장(정상:0, 고장:1)깜빡거림(정상:0, 고장:1)점소등상태(정상:0, 고장:1)수동/강제상태(정상:0, 고장:1)등록일자
4654강북구BMC-300S359369084306766240101-1515XX0001011231XX0100XX0100XX01001005300000122024-01-22 06:16:00
7943강북구BMC-300S019010d00003e7f120101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 11:22:18
14408강북구BMC-300S019010d0001469f120101-1515XX0001011231XX0100XX0100XX01001004800000122024-01-22 18:56:47
18541강북구BMC-300S359369083484093240101-1515XX0001011231XX0100XX0100XX01001002700000122024-01-23 02:05:25
8194강북구BMC-300S359369083516688240101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 11:32:33
109강북구BMC-300S019010d00005034120101-1515XX0001011231XX0100XX0100XX01001005100000122024-01-22 00:18:56
11748강북구BMC-300S359369083293593240101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 15:43:08
15505강북구BMC-300S019010d00007085120101-1515XX0001011231XX0100XX0100XX010010010300000122024-01-22 21:55:00
15263강북구BMC-300S019010d0000c835120101-1515XX0001011231XX0100XX0100XX010010010500000122024-01-22 21:11:31
13566강북구BMC-300S359369084333778240101-1515XX0001011231XX0100XX0100XX01001005000000122024-01-22 18:00:33
기관 명모델명시리얼접속간격수동유지지역ID점등편차소등편차심야소등시작시간심야소등시작분심야소등해제시간심야소등해제분심야소등적용기간디밍시1디밍분1디밍값1(%)디밍시2디밍분2디밍값2(%)디밍시3디밍분3디밍값3(%)현재디밍값(%)현재전력값(W)램프고장(정상:0, 고장:1)이상점등(정상:0, 고장:1)누전발생(정상:0, 고장:1)안정기고장(정상:0, 고장:1)깜빡거림(정상:0, 고장:1)점소등상태(정상:0, 고장:1)수동/강제상태(정상:0, 고장:1)등록일자
16528강북구BMC-300S359369084345814240101-155XX0001011231XX0100XX0100XX01001002900000122024-01-22 22:05:37
16452강북구BMC-300S359369084342084240101-1515XX0001011231XX0100XX0100XX01001002600000122024-01-22 22:05:10
5481강북구BMC-300S359369084344742240101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 07:30:21
13255강북구BMC-300S359369084329990240101-1515XX0001011231XX0100XX0100XX010010011700000122024-01-22 17:59:15
14601강북구BMC-300S019010d0001469e120101-1515XX0001011231XX0100XX0100XX010010010300000122024-01-22 19:26:35
16408강북구BMC-300S359369083432746240101-1515XX0001011231XX0100XX0100XX01001006300000122024-01-22 22:04:55
11053강북구BMC-300S019010d00003ea8120101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 15:37:41
18122강북구BMC-300S019010d00006a88120101-1515XX0001011231XX0100XX0100XX01001002500000122024-01-23 01:34:41
2435강북구BMC-300S019010d0000d4a6120101-1515XX0001011231XX0100XX0100XX01001005300000122024-01-22 03:12:55
6007강북구BMC-300S359369083301354240101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 07:32:50

Duplicate rows

Most frequently occurring

기관 명모델명시리얼접속간격수동유지지역ID점등편차소등편차심야소등시작시간심야소등시작분심야소등해제시간심야소등해제분심야소등적용기간디밍시1디밍분1디밍값1(%)디밍시2디밍분2디밍값2(%)디밍시3디밍분3디밍값3(%)현재디밍값(%)현재전력값(W)램프고장(정상:0, 고장:1)이상점등(정상:0, 고장:1)누전발생(정상:0, 고장:1)안정기고장(정상:0, 고장:1)깜빡거림(정상:0, 고장:1)점소등상태(정상:0, 고장:1)수동/강제상태(정상:0, 고장:1)등록일자# duplicates
0강북구BMC-300S359369083218384240101-1515XX0001011231XX0100XX0100XX01001002600000122024-01-22 02:06:362
1강북구BMC-300S359369083301354240101-1515XX0001011231XX0100XX0100XX01001002900000122024-01-23 02:08:232
2강북구BMC-300S359369083303848240101-1515XX0001011231XX0100XX0100XX01001004700000122024-01-22 02:05:312
3강북구BMC-300S359369083303889240101-1515XX0001011231XX0100XX0100XX01001005400000122024-01-23 02:09:022
4강북구BMC-300S359369083303905240101-1515XX0001011231XX0100XX0100XX01001005300000122024-01-22 02:09:152
5강북구BMC-300S359369083342291240101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 13:36:532
6강북구BMC-300S35936908338646224021-1515XX0001011231XX0100XX0100XX01001002800000122024-01-22 02:11:172
7강북구BMC-300S359369083433231240101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 07:36:322
8강북구BMC-300S359369084337233240101-1515XX0001011231XX0100XX0100XX01001009900000122024-01-23 02:06:362