Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)< 0.1%
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
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
지역ID is highly imbalanced (99.4%)Imbalance
소등편차 is highly imbalanced (78.3%)Imbalance
심야소등해제시간 is highly imbalanced (99.6%)Imbalance
디밍값1(%) is highly imbalanced (99.7%)Imbalance
디밍값2(%) is highly imbalanced (99.5%)Imbalance
디밍값3(%) is highly imbalanced (99.7%)Imbalance
현재디밍값(%) is highly imbalanced (99.5%)Imbalance
램프고장(정상:0, 고장:1) is highly imbalanced (99.3%)Imbalance
안정기고장(정상:0, 고장:1) is highly imbalanced (99.9%)Imbalance
깜빡거림(정상:0, 고장:1) is highly imbalanced (97.6%)Imbalance
수동/강제상태(정상:0, 고장:1) is highly imbalanced (99.6%)Imbalance
점등편차 is highly skewed (γ1 = -20.18525702)Skewed
심야소등적용기간 is highly skewed (γ1 = 39.33343028)Skewed
현재전력값(W) has 4544 (45.4%) zerosZeros

Reproduction

Analysis started2024-05-11 16:30:11.195643
Analysis finished2024-05-11 16:30:12.307206
Duration1.11 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

2024-05-12T01:30:12.493280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:12.785359image/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

2024-05-12T01:30:13.089494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:13.382770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bmc-300s 10000
100.0%

시리얼
Text

Distinct1947
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-12T01:30:14.094384image/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

Unique77 ?
Unique (%)0.8%

Sample

1st row359369083358982
2nd row019010d000149f6
3rd row359369084306766
4th row019010d0000502b
5th row359369083482394
ValueCountFrequency (%)
019010d00005c5e 16
 
0.2%
019010d0000d472 14
 
0.1%
019010d00007081 13
 
0.1%
019010d00004be8 13
 
0.1%
019010d00004bd8 12
 
0.1%
019010d00003f5f 12
 
0.1%
019010d000083ee 12
 
0.1%
019010d00005c53 12
 
0.1%
019010d00012295 12
 
0.1%
019010d000061d2 12
 
0.1%
Other values (1937) 9872
98.7%
2024-05-12T01:30:15.270192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43539
29.0%
3 21801
14.5%
9 18827
12.6%
1 15119
 
10.1%
5 9038
 
6.0%
8 8447
 
5.6%
6 7960
 
5.3%
4 6615
 
4.4%
d 6193
 
4.1%
2 4215
 
2.8%
Other values (6) 8246
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138648
92.4%
Lowercase Letter 11352
 
7.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43539
31.4%
3 21801
15.7%
9 18827
13.6%
1 15119
 
10.9%
5 9038
 
6.5%
8 8447
 
6.1%
6 7960
 
5.7%
4 6615
 
4.8%
2 4215
 
3.0%
7 3087
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
d 6193
54.6%
e 1362
 
12.0%
f 1110
 
9.8%
c 989
 
8.7%
a 954
 
8.4%
b 744
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
Common 138648
92.4%
Latin 11352
 
7.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43539
31.4%
3 21801
15.7%
9 18827
13.6%
1 15119
 
10.9%
5 9038
 
6.5%
8 8447
 
6.1%
6 7960
 
5.7%
4 6615
 
4.8%
2 4215
 
3.0%
7 3087
 
2.2%
Latin
ValueCountFrequency (%)
d 6193
54.6%
e 1362
 
12.0%
f 1110
 
9.8%
c 989
 
8.7%
a 954
 
8.4%
b 744
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43539
29.0%
3 21801
14.5%
9 18827
12.6%
1 15119
 
10.1%
5 9038
 
6.0%
8 8447
 
5.6%
6 7960
 
5.3%
4 6615
 
4.4%
d 6193
 
4.1%
2 4215
 
2.8%
Other values (6) 8246
 
5.5%

접속간격
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
240
5023 
120
4973 
100
 
4

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
240 5023
50.2%
120 4973
49.7%
100 4
 
< 0.1%

Length

2024-05-12T01:30:15.678295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:15.990336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
240 5023
50.2%
120 4973
49.7%
100 4
 
< 0.1%

수동유지
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.0007
Minimum0
Maximum30
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-12T01:30:16.284441image/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 deviation1.8776187
Coefficient of variation (CV)0.18774873
Kurtosis83.203273
Mean10.0007
Median Absolute Deviation (MAD)0
Skewness6.5524594
Sum100007
Variance3.5254521
MonotonicityNot monotonic
2024-05-12T01:30:16.646350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10 9746
97.5%
30 63
 
0.6%
2 62
 
0.6%
3 49
 
0.5%
4 24
 
0.2%
1 13
 
0.1%
5 12
 
0.1%
0 9
 
0.1%
6 9
 
0.1%
8 4
 
< 0.1%
Other values (3) 9
 
0.1%
ValueCountFrequency (%)
0 9
 
0.1%
1 13
 
0.1%
2 62
 
0.6%
3 49
 
0.5%
4 24
 
0.2%
5 12
 
0.1%
6 9
 
0.1%
8 4
 
< 0.1%
9 2
 
< 0.1%
10 9746
97.5%
ValueCountFrequency (%)
30 63
 
0.6%
20 4
 
< 0.1%
11 3
 
< 0.1%
10 9746
97.5%
9 2
 
< 0.1%
8 4
 
< 0.1%
6 9
 
0.1%
5 12
 
0.1%
4 24
 
0.2%
3 49
 
0.5%

지역ID
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9993 
2
 
4
0
 
3

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 9993
99.9%
2 4
 
< 0.1%
0 3
 
< 0.1%

Length

2024-05-12T01:30:17.034332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:17.341556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9993
99.9%
2 4
 
< 0.1%
0 3
 
< 0.1%

점등편차
Real number (ℝ)

SKEWED 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.0515
Minimum-45
Maximum-5
Zeros0
Zeros (%)0.0%
Negative10000
Negative (%)100.0%
Memory size166.0 KiB
2024-05-12T01:30:17.621658image/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 deviation1.1300334
Coefficient of variation (CV)-0.075077792
Kurtosis494.33825
Mean-15.0515
Median Absolute Deviation (MAD)0
Skewness-20.185257
Sum-150515
Variance1.2769754
MonotonicityNot monotonic
2024-05-12T01:30:17.985676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-15 9942
99.4%
-20 16
 
0.2%
-30 16
 
0.2%
-45 9
 
0.1%
-10 7
 
0.1%
-17 5
 
0.1%
-5 5
 
0.1%
ValueCountFrequency (%)
-45 9
 
0.1%
-30 16
 
0.2%
-20 16
 
0.2%
-17 5
 
0.1%
-15 9942
99.4%
-10 7
 
0.1%
-5 5
 
0.1%
ValueCountFrequency (%)
-5 5
 
0.1%
-10 7
 
0.1%
-15 9942
99.4%
-17 5
 
0.1%
-20 16
 
0.2%
-30 16
 
0.2%
-45 9
 
0.1%

소등편차
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
15
9143 
5
 
842
13
 
12
10
 
3

Length

Max length2
Median length2
Mean length1.9158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
15 9143
91.4%
5 842
 
8.4%
13 12
 
0.1%
10 3
 
< 0.1%

Length

2024-05-12T01:30:18.392526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:18.872319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 9143
91.4%
5 842
 
8.4%
13 12
 
0.1%
10 3
 
< 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

2024-05-12T01:30:19.215333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:19.504904image/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

2024-05-12T01:30:19.813479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:20.104666image/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

2024-05-12T01:30:20.425587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:20.733057image/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

2024-05-12T01:30:21.053101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:21.345664image/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%
Mean1017929
Minimum1030
Maximum12011231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-12T01:30:21.619907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1030
5-th percentile1011231
Q11011231
median1011231
Q31011231
95-th percentile1011231
Maximum12011231
Range12010201
Interquartile range (IQR)0

Descriptive statistics

Standard deviation261273.85
Coefficient of variation (CV)0.25667198
Kurtosis1605.3205
Mean1017929
Median Absolute Deviation (MAD)0
Skewness39.33343
Sum1.017929 × 1010
Variance6.8264024 × 1010
MonotonicityNot monotonic
2024-05-12T01:30:21.993606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1011231 9988
99.9%
12011231 5
 
0.1%
6011231 3
 
< 0.1%
11231 2
 
< 0.1%
1001230 1
 
< 0.1%
1030 1
 
< 0.1%
ValueCountFrequency (%)
1030 1
 
< 0.1%
11231 2
 
< 0.1%
1001230 1
 
< 0.1%
1011231 9988
99.9%
6011231 3
 
< 0.1%
12011231 5
 
0.1%
ValueCountFrequency (%)
12011231 5
 
0.1%
6011231 3
 
< 0.1%
1011231 9988
99.9%
1001230 1
 
< 0.1%
11231 2
 
< 0.1%
1030 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

2024-05-12T01:30:22.385731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:22.677270image/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

2024-05-12T01:30:22.983425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:23.278175image/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
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

2024-05-12T01:30:23.595521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:23.905129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9998
> 99.9%
96 2
 
< 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

2024-05-12T01:30:24.224201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:24.517974image/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

2024-05-12T01:30:24.823204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:25.113314image/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
9994 
30
 
4
96
 
2

Length

Max length3
Median length3
Mean length2.9994
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
100 9994
99.9%
30 4
 
< 0.1%
96 2
 
< 0.1%

Length

2024-05-12T01:30:25.434604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:25.748917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9994
99.9%
30 4
 
< 0.1%
96 2
 
< 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

2024-05-12T01:30:26.079711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:26.370089image/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

2024-05-12T01:30:26.677674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:26.967619image/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
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

2024-05-12T01:30:27.288463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:27.595656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9998
> 99.9%
96 2
 
< 0.1%

현재디밍값(%)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100
9996 
96
 
4

Length

Max length3
Median length3
Mean length2.9996
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
100 9996
> 99.9%
96 4
 
< 0.1%

Length

2024-05-12T01:30:27.924956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:28.188063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9996
> 99.9%
96 4
 
< 0.1%

현재전력값(W)
Real number (ℝ)

ZEROS 

Distinct124
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.216
Minimum0
Maximum225
Zeros4544
Zeros (%)45.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-12T01:30:28.386474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median27
Q352
95-th percentile99
Maximum225
Range225
Interquartile range (IQR)52

Descriptive statistics

Standard deviation32.270062
Coefficient of variation (CV)1.1045339
Kurtosis1.5406859
Mean29.216
Median Absolute Deviation (MAD)27
Skewness1.0788944
Sum292160
Variance1041.3569
MonotonicityNot monotonic
2024-05-12T01:30:28.629288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4544
45.4%
52 560
 
5.6%
53 477
 
4.8%
51 461
 
4.6%
48 425
 
4.2%
27 315
 
3.1%
26 299
 
3.0%
50 267
 
2.7%
54 252
 
2.5%
47 190
 
1.9%
Other values (114) 2210
22.1%
ValueCountFrequency (%)
0 4544
45.4%
23 5
 
0.1%
24 18
 
0.2%
25 84
 
0.8%
26 299
 
3.0%
27 315
 
3.1%
28 142
 
1.4%
29 100
 
1.0%
30 111
 
1.1%
31 87
 
0.9%
ValueCountFrequency (%)
225 1
 
< 0.1%
216 2
 
< 0.1%
208 2
 
< 0.1%
205 1
 
< 0.1%
201 5
0.1%
200 5
0.1%
172 2
 
< 0.1%
169 1
 
< 0.1%
160 1
 
< 0.1%
159 2
 
< 0.1%

램프고장(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9994 
1
 
6

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 9994
99.9%
1 6
 
0.1%

Length

2024-05-12T01:30:28.850427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:29.012691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9994
99.9%
1 6
 
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

2024-05-12T01:30:29.187905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:29.346275image/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

2024-05-12T01:30:29.509634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:29.669653image/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
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

2024-05-12T01:30:29.833359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:29.998274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9999
> 99.9%
1 1
 
< 0.1%

깜빡거림(정상:0, 고장:1)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9976 
1
 
24

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 9976
99.8%
1 24
 
0.2%

Length

2024-05-12T01:30:30.167750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:30.337881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9976
99.8%
1 24
 
0.2%

점소등상태(정상:0, 고장:1)
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5461 
0
4539 

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 5461
54.6%
0 4539
45.4%

Length

2024-05-12T01:30:30.507899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:30.671758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5461
54.6%
0 4539
45.4%

수동/강제상태(정상:0, 고장:1)
Categorical

IMBALANCE 

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

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 9997
> 99.9%
0 3
 
< 0.1%

Length

2024-05-12T01:30:30.847118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-12T01:30:31.010657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9997
> 99.9%
0 3
 
< 0.1%

등록일자
Date

Distinct8491
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-02-05 00:00:28
Maximum2024-02-07 15:24:44
2024-05-12T01:30:31.201436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-12T01:30:31.447187image/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
41086강북구BMC-300S359369083358982240101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-07 07:20:02
17107강북구BMC-300S019010d000149f6120101-1515XX0001011231XX0100XX0100XX01001005100000122024-02-05 22:57:50
45602강북구BMC-300S359369084306766240101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-07 15:22:14
2167강북구BMC-300S019010d0000502b120101-1515XX0001011231XX0100XX0100XX01001005400000122024-02-05 02:34:55
36645강북구BMC-300S359369083482394240101-1515XX0001011231XX0100XX0100XX01001003100000122024-02-07 02:22:35
39177강북구BMC-300S359369083395521240101-1515XX0001011231XX0100XX0100XX01001005100000122024-02-07 06:24:54
43854강북구BMC-300S359369083482394240101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-07 11:26:03
11087강북구BMC-300S359369083406310240101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-05 15:30:10
28630강북구BMC-300S359369084295373240101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-06 15:30:35
35777강북구BMC-300S019010d000146a8120101-1515XX0001011231XX0100XX0100XX01001005200000122024-02-07 01:59:13
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
45479강북구BMC-300S359369084341771240101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-07 15:18:27
6797강북구BMC-300S019010d0000d41b120101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-05 08:27:15
44660강북구BMC-300S019010d0000d476120101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-07 13:28:32
8240강북구BMC-300S359369083303962240101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-05 11:25:42
41256강북구BMC-300S359369083381646240101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-07 07:20:48
44586강북구BMC-300S019010d0000705a120101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-07 13:18:51
6058강북구BMC-300S359369081408086240101-1515XX0001011231XX0100XX0100XX0100100000000022024-02-05 07:25:09
31206강북구BMC-300S359369083423430240101-1515XX0001011231XX0100XX0100XX01001005600000122024-02-06 18:14:50
2777강북구BMC-300S019010d00012291120101-1515XX0001011231XX0100XX0100XX01001004800000122024-02-05 04:10:54
33344강북구BMC-300S35936908434380124031-155XX0001011231XX0100XX0100XX01001002600000122024-02-06 22:15:55

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-300S359369084329586240301-1515XX0001011231XX0100XX0100XX01001005000000122024-02-07 02:21:042