Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 MiB
Average record size in memory288.0 B

Variable types

Categorical26
Text1
Numeric4
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
누전발생(정상:0, 고장:1) has constant value ""Constant
지역ID is highly imbalanced (99.5%)Imbalance
소등편차 is highly imbalanced (80.7%)Imbalance
심야소등해제시간 is highly imbalanced (99.6%)Imbalance
디밍값1(%) is highly imbalanced (99.9%)Imbalance
디밍값2(%) is highly imbalanced (99.4%)Imbalance
디밍값3(%) is highly imbalanced (99.9%)Imbalance
현재디밍값(%) is highly imbalanced (99.7%)Imbalance
램프고장(정상:0, 고장:1) is highly imbalanced (99.5%)Imbalance
안정기고장(정상:0, 고장:1) is highly imbalanced (99.7%)Imbalance
깜빡거림(정상:0, 고장:1) is highly imbalanced (99.2%)Imbalance
수동/강제상태(정상:0, 고장:1) is highly imbalanced (99.9%)Imbalance
심야소등적용기간 is highly skewed (γ1 = 53.24851223)Skewed
현재전력값(W) has 4243 (42.4%) zerosZeros

Reproduction

Analysis started2024-05-17 23:27:59.149880
Analysis finished2024-05-17 23:28:01.075318
Duration1.93 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

2024-05-18T08:28:01.297291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:01.636137image/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

2024-05-18T08:28:01.993439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:02.283646image/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
2024-05-18T08:28:02.813206image/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

Unique62 ?
Unique (%)0.6%

Sample

1st row359369084331202
2nd row019010d000149f2
3rd row019010d00012277
4th row019010d000149e3
5th row019010d0000503f
ValueCountFrequency (%)
359369083516639 14
 
0.1%
019010d00012298 12
 
0.1%
019010d00010ef4 12
 
0.1%
019010d00010f03 12
 
0.1%
019010d000149dc 12
 
0.1%
019010d0000c7ec 12
 
0.1%
019010d0000d41b 12
 
0.1%
019010d00012270 12
 
0.1%
019010d0001226f 12
 
0.1%
019010d00005037 12
 
0.1%
Other values (1936) 9878
98.8%
2024-05-18T08:28:04.174422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 45202
30.1%
3 20731
13.8%
9 18478
12.3%
1 15644
 
10.4%
5 8739
 
5.8%
8 8036
 
5.4%
6 7648
 
5.1%
d 6573
 
4.4%
4 6286
 
4.2%
2 4159
 
2.8%
Other values (6) 8504
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138030
92.0%
Lowercase Letter 11970
 
8.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45202
32.7%
3 20731
15.0%
9 18478
13.4%
1 15644
 
11.3%
5 8739
 
6.3%
8 8036
 
5.8%
6 7648
 
5.5%
4 6286
 
4.6%
2 4159
 
3.0%
7 3107
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
d 6573
54.9%
e 1392
 
11.6%
f 1161
 
9.7%
c 1035
 
8.6%
a 986
 
8.2%
b 823
 
6.9%

Most occurring scripts

ValueCountFrequency (%)
Common 138030
92.0%
Latin 11970
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 45202
32.7%
3 20731
15.0%
9 18478
13.4%
1 15644
 
11.3%
5 8739
 
6.3%
8 8036
 
5.8%
6 7648
 
5.5%
4 6286
 
4.6%
2 4159
 
3.0%
7 3107
 
2.3%
Latin
ValueCountFrequency (%)
d 6573
54.9%
e 1392
 
11.6%
f 1161
 
9.7%
c 1035
 
8.6%
a 986
 
8.2%
b 823
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 45202
30.1%
3 20731
13.8%
9 18478
12.3%
1 15644
 
10.4%
5 8739
 
5.8%
8 8036
 
5.4%
6 7648
 
5.1%
d 6573
 
4.4%
4 6286
 
4.2%
2 4159
 
2.8%
Other values (6) 8504
 
5.7%

접속간격
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
120
5286 
240
4712 
100
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
120 5286
52.9%
240 4712
47.1%
100 2
 
< 0.1%

Length

2024-05-18T08:28:04.665565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:04.944611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
120 5286
52.9%
240 4712
47.1%
100 2
 
< 0.1%

수동유지
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9707
Minimum0
Maximum30
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T08:28:05.324679image/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 deviation1.7107701
Coefficient of variation (CV)0.17157973
Kurtosis94.374829
Mean9.9707
Median Absolute Deviation (MAD)0
Skewness6.3692275
Sum99707
Variance2.9267342
MonotonicityNot monotonic
2024-05-18T08:28:05.693921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10 9749
97.5%
2 55
 
0.5%
3 53
 
0.5%
30 48
 
0.5%
4 30
 
0.3%
1 18
 
0.2%
5 10
 
0.1%
6 8
 
0.1%
9 8
 
0.1%
8 7
 
0.1%
Other values (3) 14
 
0.1%
ValueCountFrequency (%)
0 5
 
0.1%
1 18
 
0.2%
2 55
 
0.5%
3 53
 
0.5%
4 30
 
0.3%
5 10
 
0.1%
6 8
 
0.1%
8 7
 
0.1%
9 8
 
0.1%
10 9749
97.5%
ValueCountFrequency (%)
30 48
 
0.5%
20 5
 
0.1%
11 4
 
< 0.1%
10 9749
97.5%
9 8
 
0.1%
8 7
 
0.1%
6 8
 
0.1%
5 10
 
0.1%
4 30
 
0.3%
3 53
 
0.5%

지역ID
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9994 
2
 
4
0
 
2

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 9994
99.9%
2 4
 
< 0.1%
0 2
 
< 0.1%

Length

2024-05-18T08:28:06.117933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:06.482301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9994
99.9%
2 4
 
< 0.1%
0 2
 
< 0.1%

점등편차
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.0728
Minimum-45
Maximum-5
Zeros0
Zeros (%)0.0%
Negative10000
Negative (%)100.0%
Memory size166.0 KiB
2024-05-18T08:28:06.828320image/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 deviation1.364363
Coefficient of variation (CV)-0.090518216
Kurtosis390.68312
Mean-15.0728
Median Absolute Deviation (MAD)0
Skewness-18.746223
Sum-150728
Variance1.8614863
MonotonicityNot monotonic
2024-05-18T08:28:07.247458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-15 9942
99.4%
-45 16
 
0.2%
-20 15
 
0.1%
-30 15
 
0.1%
-10 4
 
< 0.1%
-5 4
 
< 0.1%
-17 4
 
< 0.1%
ValueCountFrequency (%)
-45 16
 
0.2%
-30 15
 
0.1%
-20 15
 
0.1%
-17 4
 
< 0.1%
-15 9942
99.4%
-10 4
 
< 0.1%
-5 4
 
< 0.1%
ValueCountFrequency (%)
-5 4
 
< 0.1%
-10 4
 
< 0.1%
-15 9942
99.4%
-17 4
 
< 0.1%
-20 15
 
0.1%
-30 15
 
0.1%
-45 16
 
0.2%

소등편차
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
15
9103 
5
 
882
13
 
12
30
 
2
10
 
1

Length

Max length2
Median length2
Mean length1.9118
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
15 9103
91.0%
5 882
 
8.8%
13 12
 
0.1%
30 2
 
< 0.1%
10 1
 
< 0.1%

Length

2024-05-18T08:28:07.799730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:08.272222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 9103
91.0%
5 882
 
8.8%
13 12
 
0.1%
30 2
 
< 0.1%
10 1
 
< 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

2024-05-18T08:28:08.739021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:09.095009image/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

2024-05-18T08:28:09.505107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:09.894803image/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
9997 
19
 
3

Length

Max length2
Median length1
Mean length1.0003
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%
19 3
 
< 0.1%

Length

2024-05-18T08:28:10.395295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:10.785395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9997
> 99.9%
19 3
 
< 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

2024-05-18T08:28:11.154240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:11.455220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

심야소등적용기간
Real number (ℝ)

SKEWED 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1014730
Minimum11031
Maximum12011231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T08:28:11.839629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11031
5-th percentile1011231
Q11011231
median1011231
Q31011231
95-th percentile1011231
Maximum12011231
Range12000200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation178580.5
Coefficient of variation (CV)0.1759882
Kurtosis3058.6753
Mean1014730
Median Absolute Deviation (MAD)0
Skewness53.248512
Sum1.01473 × 1010
Variance3.1890996 × 1010
MonotonicityNot monotonic
2024-05-18T08:28:12.255706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1011231 9992
99.9%
6011231 3
 
< 0.1%
12011231 2
 
< 0.1%
11231 1
 
< 0.1%
1001230 1
 
< 0.1%
11031 1
 
< 0.1%
ValueCountFrequency (%)
11031 1
 
< 0.1%
11231 1
 
< 0.1%
1001230 1
 
< 0.1%
1011231 9992
99.9%
6011231 3
 
< 0.1%
12011231 2
 
< 0.1%
ValueCountFrequency (%)
12011231 2
 
< 0.1%
6011231 3
 
< 0.1%
1011231 9992
99.9%
1001230 1
 
< 0.1%
11231 1
 
< 0.1%
11031 1
 
< 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

2024-05-18T08:28:12.650540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:12.951486image/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

2024-05-18T08:28:13.348103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:13.779628image/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
9999 
96
 
1

Length

Max length3
Median length3
Mean length2.9999
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
100 9999
> 99.9%
96 1
 
< 0.1%

Length

2024-05-18T08:28:14.078654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:14.559719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9999
> 99.9%
96 1
 
< 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

2024-05-18T08:28:14.896144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:15.158626image/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

2024-05-18T08:28:15.456260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:15.779729image/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
9992 
30
 
7
96
 
1

Length

Max length3
Median length3
Mean length2.9992
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
100 9992
99.9%
30 7
 
0.1%
96 1
 
< 0.1%

Length

2024-05-18T08:28:16.182925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:16.477313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9992
99.9%
30 7
 
0.1%
96 1
 
< 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

2024-05-18T08:28:16.904122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:17.218013image/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

2024-05-18T08:28:17.780773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:18.077954image/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
9999 
96
 
1

Length

Max length3
Median length3
Mean length2.9999
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
100 9999
> 99.9%
96 1
 
< 0.1%

Length

2024-05-18T08:28:18.495238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:18.918738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9999
> 99.9%
96 1
 
< 0.1%

현재디밍값(%)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100
9998 
96
 
2

Length

Max length3
Median length3
Mean length2.9998
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
100 9998
> 99.9%
96 2
 
< 0.1%

Length

2024-05-18T08:28:19.303433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:19.674963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9998
> 99.9%
96 2
 
< 0.1%

현재전력값(W)
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.6305
Minimum0
Maximum225
Zeros4243
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T08:28:20.084574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median28
Q352
95-th percentile99
Maximum225
Range225
Interquartile range (IQR)52

Descriptive statistics

Standard deviation31.740219
Coefficient of variation (CV)1.0362292
Kurtosis0.92922184
Mean30.6305
Median Absolute Deviation (MAD)28
Skewness0.90630235
Sum306305
Variance1007.4415
MonotonicityNot monotonic
2024-05-18T08:28:20.601778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4243
42.4%
52 659
 
6.6%
51 475
 
4.8%
53 437
 
4.4%
50 378
 
3.8%
26 367
 
3.7%
47 362
 
3.6%
48 344
 
3.4%
27 244
 
2.4%
54 238
 
2.4%
Other values (111) 2253
22.5%
ValueCountFrequency (%)
0 4243
42.4%
22 1
 
< 0.1%
23 5
 
0.1%
24 20
 
0.2%
25 95
 
0.9%
26 367
 
3.7%
27 244
 
2.4%
28 140
 
1.4%
29 110
 
1.1%
30 104
 
1.0%
ValueCountFrequency (%)
225 1
 
< 0.1%
212 1
 
< 0.1%
208 1
 
< 0.1%
205 1
 
< 0.1%
201 1
 
< 0.1%
199 4
< 0.1%
177 1
 
< 0.1%
159 2
< 0.1%
158 2
< 0.1%
148 1
 
< 0.1%

램프고장(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

2024-05-18T08:28:21.134649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:21.722074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9996
> 99.9%
1 4
 
< 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

2024-05-18T08:28:22.080526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:22.459957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

누전발생(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

2024-05-18T08:28:22.892983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:23.301234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

안정기고장(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

2024-05-18T08:28:23.685074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:24.084724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9998
> 99.9%
1 2
 
< 0.1%

깜빡거림(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9993 
1
 
7

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 9993
99.9%
1 7
 
0.1%

Length

2024-05-18T08:28:24.648187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:25.047985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9993
99.9%
1 7
 
0.1%

점소등상태(정상:0, 고장:1)
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5763 
0
4237 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5763
57.6%
0 4237
42.4%

Length

2024-05-18T08:28:25.362123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:25.763691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5763
57.6%
0 4237
42.4%

수동/강제상태(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
9999 
0
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
2 9999
> 99.9%
0 1
 
< 0.1%

Length

2024-05-18T08:28:26.118475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:28:26.436269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9999
> 99.9%
0 1
 
< 0.1%

등록일자
Date

Distinct7855
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-11 00:00:06
Maximum2024-03-12 06:41:30
2024-05-18T08:28:26.776336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:28:27.229385image/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
9569강북구BMC-300S359369084331202240101-1515XX0001011231XX0100XX0100XX0100100000000022024-03-11 14:48:06
19598강북구BMC-300S019010d000149f2120101-1515XX0001011231XX0100XX0100XX01001009900000122024-03-12 05:16:43
11237강북구BMC-300S019010d00012277120101-1515XX0001011231XX0100XX0100XX0100100000000022024-03-11 17:08:21
19724강북구BMC-300S019010d000149e3120101-1515XX0001011231XX0100XX0100XX01001005000000122024-03-12 05:34:27
17318강북구BMC-300S019010d0000503f120101-1515XX0001011231XX0100XX0100XX01001005100000122024-03-12 02:17:23
14898강북구BMC-300S359369084330477240101-1515XX0001011231XX0100XX0100XX01001004900000122024-03-11 22:49:35
14632강북구BMC-300S019010d00003eb3120101-1515XX0001011231XX0100XX0100XX01001005000000122024-03-11 22:22:49
8050강북구BMC-300S019010d0000bbf9120101-1515XX0001011231XX0100XX0100XX0100100000000022024-03-11 11:39:12
8000강북구BMC-300S019010d0000706f120101-1515XX0001011231XX0100XX0100XX0100100000000022024-03-11 11:33:19
6540강북구BMC-300S019010d00012296120101-1515XX0001011231XX0100XX0100XX0100100000000022024-03-11 10:36:32
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
208강북구BMC-300S019010d00010ef8120101-1515XX0001011231XX0100XX0100XX01001004800000122024-03-11 00:35:33
10499강북구BMC-300S019010d000149f7120101-1515XX0001011231XX0100XX0100XX0100100000000022024-03-11 15:08:58
1093강북구BMC-300S359369083300331240101-1515XX0001011231XX0100XX0100XX01001005200000122024-03-11 02:49:36
18666강북구BMC-300S359369083358735240101-1515XX0001011231XX0100XX0100XX01001002700000122024-03-12 03:02:00
8274강북구BMC-300S019010d00010f08120101-1515XX0001011231XX0100XX0100XX0100100000000022024-03-11 12:15:49
3847강북구BMC-300S359369083432118240101-155XX0001011231XX0100XX0100XX0100100000000022024-03-11 06:33:12
17003강북구BMC-300S019010d000050fc120101-1515XX0001011231XX0100XX0100XX01001002800000122024-03-12 01:31:42
12440강북구BMC-300S359369083432118240101-155XX0001011231XX0100XX0100XX01001005300000122024-03-11 18:47:58
11254강북구BMC-300S019010d0000505b120101-1515XX0001011231XX0100XX0100XX0100100000000022024-03-11 17:10:24
11321강북구BMC-300S359369083219846240101-155XX0001011231XX0100XX0100XX0100100000000022024-03-11 17:19:30