Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows5
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 5 (0.1%) duplicate rowsDuplicates
지역ID is highly imbalanced (98.9%)Imbalance
소등편차 is highly imbalanced (79.9%)Imbalance
심야소등해제시간 is highly imbalanced (99.5%)Imbalance
심야소등적용기간 is highly imbalanced (98.9%)Imbalance
디밍값1(%) is highly imbalanced (99.2%)Imbalance
디밍값2(%) is highly imbalanced (98.9%)Imbalance
디밍값3(%) is highly imbalanced (99.2%)Imbalance
현재디밍값(%) is highly imbalanced (99.2%)Imbalance
램프고장(정상:0, 고장:1) is highly imbalanced (99.4%)Imbalance
누전발생(정상:0, 고장:1) is highly imbalanced (99.9%)Imbalance
안정기고장(정상:0, 고장:1) is highly imbalanced (99.6%)Imbalance
깜빡거림(정상:0, 고장:1) is highly imbalanced (97.5%)Imbalance
수동/강제상태(정상:0, 고장:1) is highly imbalanced (99.2%)Imbalance
현재전력값(W) has 3688 (36.9%) zerosZeros

Reproduction

Analysis started2024-05-11 16:29:50.125765
Analysis finished2024-05-11 16:29:51.189068
Duration1.06 second
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

2024-05-12T01:29:51.377087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:51.667798image/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

2024-05-12T01:29:51.972777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:52.265834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bmc-300s 10000
100.0%

시리얼
Text

Distinct1946
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-12T01:29:52.966781image/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

Unique50 ?
Unique (%)0.5%

Sample

1st row019010d00003e74
2nd row359369083304994
3rd row019010d000061d2
4th row359369083409025
5th row359369083408704
ValueCountFrequency (%)
019010d00006626 13
 
0.1%
019010d0000c61c 12
 
0.1%
019010d00010ef3 11
 
0.1%
019010d00003e98 11
 
0.1%
019010d000083bb 11
 
0.1%
019010d000061ac 11
 
0.1%
019010d00005065 11
 
0.1%
019010d00003a2b 11
 
0.1%
019010d0000d73a 11
 
0.1%
019010d0000d782 11
 
0.1%
Other values (1936) 9887
98.9%
2024-05-12T01:29:54.119226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43984
29.3%
3 21612
14.4%
9 18789
12.5%
1 15126
 
10.1%
5 8827
 
5.9%
8 8437
 
5.6%
6 7947
 
5.3%
4 6418
 
4.3%
d 6328
 
4.2%
2 4191
 
2.8%
Other values (6) 8341
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138409
92.3%
Lowercase Letter 11591
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43984
31.8%
3 21612
15.6%
9 18789
13.6%
1 15126
 
10.9%
5 8827
 
6.4%
8 8437
 
6.1%
6 7947
 
5.7%
4 6418
 
4.6%
2 4191
 
3.0%
7 3078
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
d 6328
54.6%
e 1363
 
11.8%
f 1163
 
10.0%
c 1020
 
8.8%
a 964
 
8.3%
b 753
 
6.5%

Most occurring scripts

ValueCountFrequency (%)
Common 138409
92.3%
Latin 11591
 
7.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43984
31.8%
3 21612
15.6%
9 18789
13.6%
1 15126
 
10.9%
5 8827
 
6.4%
8 8437
 
6.1%
6 7947
 
5.7%
4 6418
 
4.6%
2 4191
 
3.0%
7 3078
 
2.2%
Latin
ValueCountFrequency (%)
d 6328
54.6%
e 1363
 
11.8%
f 1163
 
10.0%
c 1020
 
8.8%
a 964
 
8.3%
b 753
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43984
29.3%
3 21612
14.4%
9 18789
12.5%
1 15126
 
10.1%
5 8827
 
5.9%
8 8437
 
5.6%
6 7947
 
5.3%
4 6418
 
4.3%
d 6328
 
4.2%
2 4191
 
2.8%
Other values (6) 8341
 
5.6%

접속간격
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
120
5055 
240
4938 
100
 
7

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
120 5055
50.5%
240 4938
49.4%
100 7
 
0.1%

Length

2024-05-12T01:29:54.348373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:54.519125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
120 5055
50.5%
240 4938
49.4%
100 7
 
0.1%

수동유지
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9996
Minimum0
Maximum30
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-12T01:29:54.682071image/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 deviation1.8384063
Coefficient of variation (CV)0.18384799
Kurtosis85.18411
Mean9.9996
Median Absolute Deviation (MAD)0
Skewness6.6224053
Sum99996
Variance3.3797378
MonotonicityNot monotonic
2024-05-12T01:29:54.874665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10 9740
97.4%
2 62
 
0.6%
30 59
 
0.6%
3 44
 
0.4%
4 39
 
0.4%
1 15
 
0.1%
6 9
 
0.1%
20 9
 
0.1%
5 7
 
0.1%
8 6
 
0.1%
Other values (3) 10
 
0.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 15
 
0.1%
2 62
 
0.6%
3 44
 
0.4%
4 39
 
0.4%
5 7
 
0.1%
6 9
 
0.1%
8 6
 
0.1%
9 3
 
< 0.1%
10 9740
97.4%
ValueCountFrequency (%)
30 59
 
0.6%
20 9
 
0.1%
11 5
 
0.1%
10 9740
97.4%
9 3
 
< 0.1%
8 6
 
0.1%
6 9
 
0.1%
5 7
 
0.1%
4 39
 
0.4%
3 44
 
0.4%

지역ID
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9986 
0
 
7
2
 
7

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 9986
99.9%
0 7
 
0.1%
2 7
 
0.1%

Length

2024-05-12T01:29:55.091930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:55.261770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9986
99.9%
0 7
 
0.1%
2 7
 
0.1%

점등편차
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.0723
Minimum-45
Maximum-5
Zeros0
Zeros (%)0.0%
Negative10000
Negative (%)100.0%
Memory size166.0 KiB
2024-05-12T01:29:55.415381image/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 deviation1.4103445
Coefficient of variation (CV)-0.09357195
Kurtosis363.47344
Mean-15.0723
Median Absolute Deviation (MAD)0
Skewness-18.001466
Sum-150723
Variance1.9890716
MonotonicityNot monotonic
2024-05-12T01:29:55.612362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-15 9934
99.3%
-45 17
 
0.2%
-30 16
 
0.2%
-20 13
 
0.1%
-10 12
 
0.1%
-5 4
 
< 0.1%
-17 4
 
< 0.1%
ValueCountFrequency (%)
-45 17
 
0.2%
-30 16
 
0.2%
-20 13
 
0.1%
-17 4
 
< 0.1%
-15 9934
99.3%
-10 12
 
0.1%
-5 4
 
< 0.1%
ValueCountFrequency (%)
-5 4
 
< 0.1%
-10 12
 
0.1%
-15 9934
99.3%
-17 4
 
< 0.1%
-20 13
 
0.1%
-30 16
 
0.2%
-45 17
 
0.2%

소등편차
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
15
9238 
5
 
744
13
 
11
10
 
7

Length

Max length2
Median length2
Mean length1.9256
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
15 9238
92.4%
5 744
 
7.4%
13 11
 
0.1%
10 7
 
0.1%

Length

2024-05-12T01:29:55.841569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:56.018656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 9238
92.4%
5 744
 
7.4%
13 11
 
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

2024-05-12T01:29:56.221184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:56.382557image/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

2024-05-12T01:29:56.555747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:56.731899image/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
9996 
19
 
4

Length

Max length2
Median length1
Mean length1.0004
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%
19 4
 
< 0.1%

Length

2024-05-12T01:29:56.903046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:57.075895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9996
> 99.9%
19 4
 
< 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

2024-05-12T01:29:57.260877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:57.420500image/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
9982 
12011231
 
7
1030
 
7
6011231
 
4

Length

Max length8
Median length7
Mean length6.9986
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1011231 9982
99.8%
12011231 7
 
0.1%
1030 7
 
0.1%
6011231 4
 
< 0.1%

Length

2024-05-12T01:29:57.612110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:57.808101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1011231 9982
99.8%
12011231 7
 
0.1%
1030 7
 
0.1%
6011231 4
 
< 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

2024-05-12T01:29:57.996940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:58.155342image/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

2024-05-12T01:29:58.321643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:58.479252image/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

2024-05-12T01:29:58.649103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:58.828804image/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

2024-05-12T01:29:58.998287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:59.158087image/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

2024-05-12T01:29:59.322121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:59.482721image/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
9985 
30
 
8
96
 
7

Length

Max length3
Median length3
Mean length2.9985
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
100 9985
99.9%
30 8
 
0.1%
96 7
 
0.1%

Length

2024-05-12T01:29:59.653085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:29:59.826401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9985
99.9%
30 8
 
0.1%
96 7
 
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

2024-05-12T01:30:00.013943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:00.303685image/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

2024-05-12T01:30:00.611022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:00.900433image/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

2024-05-12T01:30:01.220786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:01.526792image/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

2024-05-12T01:30:01.852877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:02.161849image/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%
Mean33.8805
Minimum0
Maximum212
Zeros3688
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-12T01:30:02.683257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32
Q353
95-th percentile101
Maximum212
Range212
Interquartile range (IQR)53

Descriptive statistics

Standard deviation31.951377
Coefficient of variation (CV)0.94306097
Kurtosis1.0337598
Mean33.8805
Median Absolute Deviation (MAD)23
Skewness0.81603604
Sum338805
Variance1020.8905
MonotonicityNot monotonic
2024-05-12T01:30:03.116234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3688
36.9%
53 613
 
6.1%
52 524
 
5.2%
54 484
 
4.8%
51 452
 
4.5%
49 438
 
4.4%
27 367
 
3.7%
48 287
 
2.9%
55 282
 
2.8%
26 254
 
2.5%
Other values (115) 2611
26.1%
ValueCountFrequency (%)
0 3688
36.9%
1 2
 
< 0.1%
21 1
 
< 0.1%
23 8
 
0.1%
24 7
 
0.1%
25 87
 
0.9%
26 254
 
2.5%
27 367
 
3.7%
28 177
 
1.8%
29 118
 
1.2%
ValueCountFrequency (%)
212 1
 
< 0.1%
208 2
< 0.1%
205 1
 
< 0.1%
203 4
< 0.1%
202 1
 
< 0.1%
201 4
< 0.1%
198 1
 
< 0.1%
174 1
 
< 0.1%
162 1
 
< 0.1%
161 1
 
< 0.1%

램프고장(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9995 
1
 
5

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 9995
> 99.9%
1 5
 
0.1%

Length

2024-05-12T01:30:03.522188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:03.818921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9995
> 99.9%
1 5
 
< 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

2024-05-12T01:30:04.136296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:04.425513image/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
9999 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9999
> 99.9%
1 1
 
< 0.1%

Length

2024-05-12T01:30:04.731739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:05.031390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9999
> 99.9%
1 1
 
< 0.1%

안정기고장(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9997 
1
 
3

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 9997
> 99.9%
1 3
 
< 0.1%

Length

2024-05-12T01:30:05.349868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:05.647235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9997
> 99.9%
1 3
 
< 0.1%

깜빡거림(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9975 
1
 
25

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 9975
99.8%
1 25
 
0.2%

Length

2024-05-12T01:30:05.969229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:06.264967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9975
99.8%
1 25
 
0.2%

점소등상태(정상:0, 고장:1)
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
6316 
0
3684 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 6316
63.2%
0 3684
36.8%

Length

2024-05-12T01:30:06.579333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:06.881691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6316
63.2%
0 3684
36.8%

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

2024-05-12T01:30:07.204228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:07.503048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9993
99.9%
0 7
 
0.1%

등록일자
Date

Distinct7397
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-01-22 00:00:58
Maximum2024-01-23 04:22:31
2024-05-12T01:30:07.838231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-12T01:30:08.290977image/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
17660강북구BMC-300S019010d00003e74120101-1515XX0001011231XX0100XX0100XX01001003000000122024-01-23 00:28:40
4593강북구BMC-300S359369083304994240101-1515XX0001011231XX0100XX0100XX01001002600000122024-01-22 06:14:53
56강북구BMC-300S019010d000061d2120101-1515XX0001011231XX0100XX0100XX01001002700000122024-01-22 00:08:20
8230강북구BMC-300S359369083409025240101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 11:33:13
15357강북구BMC-300S35936908340870424021-1515XX0001011231XX0100XX0100XX01001009500000122024-01-22 21:25:48
5526강북구BMC-300S359369083219267240101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 07:30:35
12783강북구BMC-300S359369081408680240101-1515XX0001011231XX0100XX0100XX01001005900000122024-01-22 17:57:16
7278강북구BMC-300S019010d00003f49120101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 09:39:54
3004강북구BMC-300S019010d00013a3d120101-1515XX0001011231XX0100XX0100XX01001005100000122024-01-22 04:39:00
9330강북구BMC-300S019010d00003a39120101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 11:58:50
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
2067강북구BMC-300S019010d000136fd120101-1515XX0001011231XX0100XX0100XX01001005100000122024-01-22 02:25:57
3178강북구BMC-300S019010d00006994120101-1515XX0001011231XX0100XX0100XX01001004300000122024-01-22 05:03:53
8559강북구BMC-300S359369083301172240101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 11:35:48
1763강북구BMC-300S359369083341624240101-1515XX0001011231XX0100XX0100XX010010012400000122024-01-22 02:09:41
3546강북구BMC-300S359369083306072240101-3015XX0001011231XX0100XX0100XX01001005400000122024-01-22 05:56:50
7866강북구BMC-300S019010d00007054120101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 11:10:56
16171강북구BMC-300S359369084331319240101-1515XX0001011231XX0100XX0100XX01001003200000122024-01-22 22:03:40
3870강북구BMC-300S35936908340593224031-1515XX0001011231XX0100XX0100XX01001002500000122024-01-22 06:08:37
7231강북구BMC-300S019010d0000706e120101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 09:29:30
17965강북구BMC-300S019010d00005111120101-1515XX0001011231XX0100XX0100XX01001004900000122024-01-23 01:10:19

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-300S359369083225066240101-1515XX0001011231XX0100XX0100XX01001002900000122024-01-23 02:05:062
1강북구BMC-300S359369083303848240101-1515XX0001011231XX0100XX0100XX01001004700000122024-01-22 02:05:312
2강북구BMC-300S359369083303889240101-1515XX0001011231XX0100XX0100XX01001005400000122024-01-23 02:09:022
3강북구BMC-300S359369083432886240101-1515XX0001011231XX0100XX0100XX01001005500000122024-01-23 02:11:272
4강북구BMC-300S359369083433231240101-1515XX0001011231XX0100XX0100XX0100100000000022024-01-22 07:36:322