Overview

Dataset statistics

Number of variables10
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory86.3 B

Variable types

Categorical4
Text1
Numeric5

Alerts

장치 타입 has constant value ""Constant
온도(℃) is highly overall correlated with 습도(%) and 3 other fieldsHigh correlation
습도(%) is highly overall correlated with 온도(℃) and 4 other fieldsHigh correlation
이산화탄소 is highly overall correlated with 습도(%) and 5 other fieldsHigh correlation
휘발성유기화합물 is highly overall correlated with 이산화탄소 and 4 other fieldsHigh correlation
초미세먼지 is highly overall correlated with 이산화탄소 and 1 other fieldsHigh correlation
로그 아이디 is highly overall correlated with 온도(℃) and 5 other fieldsHigh correlation
장소 아이디 is highly overall correlated with 온도(℃) and 5 other fieldsHigh correlation
장치 아이디 is highly overall correlated with 온도(℃) and 5 other fieldsHigh correlation
로그 아이디 is highly imbalanced (80.6%)Imbalance
장소 아이디 is highly imbalanced (80.6%)Imbalance
장치 아이디 is highly imbalanced (80.6%)Imbalance
기록 시각 has unique valuesUnique

Reproduction

Analysis started2023-12-10 12:17:53.272188
Analysis finished2023-12-10 12:17:55.955543
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

로그 아이디
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
5f28db44ee39d47796f08a03
97 
5f28d175a42fcd6d828e013c
 
3

Length

Max length24
Median length24
Mean length24
Min length24

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5f28d175a42fcd6d828e013c
2nd row5f28d175a42fcd6d828e013c
3rd row5f28d175a42fcd6d828e013c
4th row5f28db44ee39d47796f08a03
5th row5f28db44ee39d47796f08a03

Common Values

ValueCountFrequency (%)
5f28db44ee39d47796f08a03 97
97.0%
5f28d175a42fcd6d828e013c 3
 
3.0%

Length

2023-12-10T21:17:56.004297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:17:56.081725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5f28db44ee39d47796f08a03 97
97.0%
5f28d175a42fcd6d828e013c 3
 
3.0%

장소 아이디
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
5f28db44ee39d47796f08a03
97 
5f28d175a42fcd6d828e013c
 
3

Length

Max length24
Median length24
Mean length24
Min length24

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5f28d175a42fcd6d828e013c
2nd row5f28d175a42fcd6d828e013c
3rd row5f28d175a42fcd6d828e013c
4th row5f28db44ee39d47796f08a03
5th row5f28db44ee39d47796f08a03

Common Values

ValueCountFrequency (%)
5f28db44ee39d47796f08a03 97
97.0%
5f28d175a42fcd6d828e013c 3
 
3.0%

Length

2023-12-10T21:17:56.162715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:17:56.237056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5f28db44ee39d47796f08a03 97
97.0%
5f28d175a42fcd6d828e013c 3
 
3.0%

장치 아이디
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
5def0f954ff84d079a6cd6f6
97 
5e6c6f8a59a01fe1f35e5c7c
 
3

Length

Max length24
Median length24
Mean length24
Min length24

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5e6c6f8a59a01fe1f35e5c7c
2nd row5e6c6f8a59a01fe1f35e5c7c
3rd row5e6c6f8a59a01fe1f35e5c7c
4th row5def0f954ff84d079a6cd6f6
5th row5def0f954ff84d079a6cd6f6

Common Values

ValueCountFrequency (%)
5def0f954ff84d079a6cd6f6 97
97.0%
5e6c6f8a59a01fe1f35e5c7c 3
 
3.0%

Length

2023-12-10T21:17:56.322252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:17:56.459349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5def0f954ff84d079a6cd6f6 97
97.0%
5e6c6f8a59a01fe1f35e5c7c 3
 
3.0%

장치 타입
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
undefined
100 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
undefined 100
100.0%

Length

2023-12-10T21:17:56.560340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:17:56.658277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
undefined 100
100.0%

기록 시각
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:17:56.916255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length44
Mean length44
Min length44

Characters and Unicode

Total characters4400
Distinct characters35
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowSat Oct 24 2020 11:06:01 GMT+0900 (대한민국 표준시)
2nd rowFri Oct 16 2020 09:46:48 GMT+0900 (대한민국 표준시)
3rd rowThu Oct 01 2020 19:13:28 GMT+0900 (대한민국 표준시)
4th rowFri Oct 02 2020 00:15:00 GMT+0900 (대한민국 표준시)
5th rowThu Oct 01 2020 20:26:22 GMT+0900 (대한민국 표준시)
ValueCountFrequency (%)
oct 100
12.5%
2020 100
12.5%
gmt+0900 100
12.5%
대한민국 100
12.5%
표준시 100
12.5%
thu 96
12.0%
01 96
12.0%
fri 3
 
0.4%
02 2
 
0.2%
00:00:07 2
 
0.2%
Other values (101) 101
12.6%
2023-12-10T21:17:57.342498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 721
16.4%
700
15.9%
2 284
 
6.5%
1 205
 
4.7%
: 200
 
4.5%
T 196
 
4.5%
9 123
 
2.8%
t 101
 
2.3%
준 100
 
2.3%
대 100
 
2.3%
Other values (25) 1670
38.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1600
36.4%
Space Separator 700
15.9%
Other Letter 700
15.9%
Uppercase Letter 500
 
11.4%
Lowercase Letter 400
 
9.1%
Other Punctuation 200
 
4.5%
Close Punctuation 100
 
2.3%
Open Punctuation 100
 
2.3%
Math Symbol 100
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 721
45.1%
2 284
 
17.8%
1 205
 
12.8%
9 123
 
7.7%
3 71
 
4.4%
5 54
 
3.4%
4 46
 
2.9%
7 34
 
2.1%
6 33
 
2.1%
8 29
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
t 101
25.2%
c 100
25.0%
u 96
24.0%
h 96
24.0%
r 3
 
0.8%
i 3
 
0.8%
a 1
 
0.2%
Other Letter
ValueCountFrequency (%)
준 100
14.3%
대 100
14.3%
시 100
14.3%
표 100
14.3%
국 100
14.3%
민 100
14.3%
한 100
14.3%
Uppercase Letter
ValueCountFrequency (%)
T 196
39.2%
M 100
20.0%
G 100
20.0%
O 100
20.0%
F 3
 
0.6%
S 1
 
0.2%
Space Separator
ValueCountFrequency (%)
700
100.0%
Other Punctuation
ValueCountFrequency (%)
: 200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Math Symbol
ValueCountFrequency (%)
+ 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2800
63.6%
Latin 900
 
20.5%
Hangul 700
 
15.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 721
25.8%
700
25.0%
2 284
 
10.1%
1 205
 
7.3%
: 200
 
7.1%
9 123
 
4.4%
) 100
 
3.6%
( 100
 
3.6%
+ 100
 
3.6%
3 71
 
2.5%
Other values (5) 196
 
7.0%
Latin
ValueCountFrequency (%)
T 196
21.8%
t 101
11.2%
M 100
11.1%
G 100
11.1%
c 100
11.1%
O 100
11.1%
u 96
10.7%
h 96
10.7%
F 3
 
0.3%
r 3
 
0.3%
Other values (3) 5
 
0.6%
Hangul
ValueCountFrequency (%)
준 100
14.3%
대 100
14.3%
시 100
14.3%
표 100
14.3%
국 100
14.3%
민 100
14.3%
한 100
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3700
84.1%
Hangul 700
 
15.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 721
19.5%
700
18.9%
2 284
 
7.7%
1 205
 
5.5%
: 200
 
5.4%
T 196
 
5.3%
9 123
 
3.3%
t 101
 
2.7%
) 100
 
2.7%
( 100
 
2.7%
Other values (18) 970
26.2%
Hangul
ValueCountFrequency (%)
준 100
14.3%
대 100
14.3%
시 100
14.3%
표 100
14.3%
국 100
14.3%
민 100
14.3%
한 100
14.3%

온도(℃)
Real number (ℝ)

HIGH CORRELATION 

Distinct77
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.3702
Minimum23.34
Maximum28.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:17:57.495045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.34
5-th percentile24.0545
Q124.9575
median25.36
Q325.845
95-th percentile26.870001
Maximum28.67
Range5.3299999
Interquartile range (IQR)0.88750076

Descriptive statistics

Standard deviation0.84853289
Coefficient of variation (CV)0.033446047
Kurtosis1.8961034
Mean25.3702
Median Absolute Deviation (MAD)0.43500042
Skewness0.32499077
Sum2537.02
Variance0.72000807
MonotonicityNot monotonic
2023-12-10T21:17:57.631122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.020000457763672 5
 
5.0%
25.01000022888184 4
 
4.0%
24.920000076293945 3
 
3.0%
25.96999931335449 2
 
2.0%
25.049999237060547 2
 
2.0%
24.959999084472656 2
 
2.0%
26.8700008392334 2
 
2.0%
25.780000686645508 2
 
2.0%
25.479999542236328 2
 
2.0%
26.059999465942383 2
 
2.0%
Other values (67) 74
74.0%
ValueCountFrequency (%)
23.34000015258789 1
1.0%
23.350000381469727 1
1.0%
23.40999984741211 1
1.0%
23.450000762939453 1
1.0%
23.76000022888184 1
1.0%
24.06999969482422 1
1.0%
24.1200008392334 1
1.0%
24.31999969482422 1
1.0%
24.36000061035156 1
1.0%
24.43000030517578 1
1.0%
ValueCountFrequency (%)
28.670000076293945 1
1.0%
26.989999771118164 1
1.0%
26.93000030517578 1
1.0%
26.899999618530277 1
1.0%
26.8700008392334 2
2.0%
26.75 1
1.0%
26.65999984741211 1
1.0%
26.450000762939453 1
1.0%
26.36000061035156 1
1.0%
26.34000015258789 1
1.0%

습도(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.3654
Minimum35.950001
Maximum61.080002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:17:57.751877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.950001
5-th percentile49.823502
Q151.517499
median53.559999
Q354.962501
95-th percentile57.711001
Maximum61.080002
Range25.130001
Interquartile range (IQR)3.4450016

Descriptive statistics

Standard deviation3.0284787
Coefficient of variation (CV)0.056749855
Kurtosis10.423018
Mean53.3654
Median Absolute Deviation (MAD)1.5100002
Skewness-1.5598789
Sum5336.54
Variance9.1716832
MonotonicityNot monotonic
2023-12-10T21:17:57.930603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.040000915527344 3
 
3.0%
52.959999084472656 2
 
2.0%
52.81999969482422 2
 
2.0%
53.09000015258789 2
 
2.0%
55.040000915527344 2
 
2.0%
50.31999969482422 2
 
2.0%
54.09999847412109 2
 
2.0%
55.81999969482422 2
 
2.0%
53.86000061035156 2
 
2.0%
54.77000045776367 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
35.95000076293945 1
1.0%
48.56999969482422 1
1.0%
48.83000183105469 1
1.0%
49.56999969482422 1
1.0%
49.70000076293945 1
1.0%
49.83000183105469 1
1.0%
49.880001068115234 1
1.0%
50.31999969482422 2
2.0%
50.33000183105469 1
1.0%
50.36000061035156 1
1.0%
ValueCountFrequency (%)
61.08000183105469 1
1.0%
60.63999938964844 1
1.0%
60.22999954223633 1
1.0%
58.66999816894531 1
1.0%
57.91999816894531 1
1.0%
57.70000076293945 1
1.0%
57.52999877929688 1
1.0%
57.33000183105469 1
1.0%
57.150001525878906 1
1.0%
56.27000045776367 1
1.0%

이산화탄소
Real number (ℝ)

HIGH CORRELATION 

Distinct74
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean492.82
Minimum400
Maximum3409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:17:58.068973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum400
5-th percentile403
Q1419
median449
Q3487.75
95-th percentile575.9
Maximum3409
Range3009
Interquartile range (IQR)68.75

Descriptive statistics

Standard deviation301.85197
Coefficient of variation (CV)0.61249944
Kurtosis90.41816
Mean492.82
Median Absolute Deviation (MAD)33
Skewness9.3049343
Sum49282
Variance91114.614
MonotonicityNot monotonic
2023-12-10T21:17:58.240173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
420 4
 
4.0%
405 4
 
4.0%
419 4
 
4.0%
403 3
 
3.0%
463 2
 
2.0%
411 2
 
2.0%
506 2
 
2.0%
459 2
 
2.0%
496 2
 
2.0%
476 2
 
2.0%
Other values (64) 73
73.0%
ValueCountFrequency (%)
400 2
2.0%
402 1
 
1.0%
403 3
3.0%
404 2
2.0%
405 4
4.0%
406 2
2.0%
407 1
 
1.0%
409 1
 
1.0%
410 1
 
1.0%
411 2
2.0%
ValueCountFrequency (%)
3409 1
1.0%
815 1
1.0%
692 1
1.0%
665 1
1.0%
650 1
1.0%
572 1
1.0%
565 1
1.0%
553 1
1.0%
544 1
1.0%
537 1
1.0%

휘발성유기화합물
Real number (ℝ)

HIGH CORRELATION 

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285.58
Minimum20
Maximum10411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:17:58.371834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile39.8
Q186
median153
Q3227.5
95-th percentile392.4
Maximum10411
Range10391
Interquartile range (IQR)141.5

Descriptive statistics

Standard deviation1039.4537
Coefficient of variation (CV)3.6397986
Kurtosis93.572676
Mean285.58
Median Absolute Deviation (MAD)70.5
Skewness9.5474301
Sum28558
Variance1080464
MonotonicityNot monotonic
2023-12-10T21:17:58.497766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 2
 
2.0%
88 2
 
2.0%
83 2
 
2.0%
77 2
 
2.0%
50 2
 
2.0%
159 2
 
2.0%
92 2
 
2.0%
48 2
 
2.0%
256 1
 
1.0%
198 1
 
1.0%
Other values (82) 82
82.0%
ValueCountFrequency (%)
20 1
1.0%
31 1
1.0%
35 1
1.0%
36 2
2.0%
40 1
1.0%
42 1
1.0%
48 2
2.0%
50 2
2.0%
51 1
1.0%
52 1
1.0%
ValueCountFrequency (%)
10411 1
1.0%
1661 1
1.0%
660 1
1.0%
491 1
1.0%
438 1
1.0%
390 1
1.0%
384 1
1.0%
364 1
1.0%
355 1
1.0%
338 1
1.0%

초미세먼지
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.74
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:17:58.623583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median8
Q312
95-th percentile14.05
Maximum53
Range52
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.9740516
Coefficient of variation (CV)0.68352994
Kurtosis29.626663
Mean8.74
Median Absolute Deviation (MAD)4
Skewness4.1145373
Sum874
Variance35.689293
MonotonicityNot monotonic
2023-12-10T21:17:58.741148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 14
14.0%
13 13
13.0%
5 10
10.0%
8 9
9.0%
11 8
8.0%
9 8
8.0%
3 7
7.0%
10 6
6.0%
6 6
6.0%
14 5
 
5.0%
Other values (6) 14
14.0%
ValueCountFrequency (%)
1 3
 
3.0%
3 7
7.0%
4 14
14.0%
5 10
10.0%
6 6
6.0%
7 2
 
2.0%
8 9
9.0%
9 8
8.0%
10 6
6.0%
11 8
8.0%
ValueCountFrequency (%)
53 1
 
1.0%
17 1
 
1.0%
15 3
 
3.0%
14 5
 
5.0%
13 13
13.0%
12 4
 
4.0%
11 8
8.0%
10 6
6.0%
9 8
8.0%
8 9
9.0%

Interactions

2023-12-10T21:17:55.283375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:53.824122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.178436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.548200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.932058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:55.354071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:53.885326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.246236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.621034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.993691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:55.414880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:53.955798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.314168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.700295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:55.059336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:55.639654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.037726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.400609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.782257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:55.130778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:55.700374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.111272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.470777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:54.860693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:17:55.206046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:17:58.816978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
로그 아이디장소 아이디장치 아이디기록 시각온도(℃)습도(%)이산화탄소휘발성유기화합물초미세먼지
로그 아이디1.0000.9630.9631.0000.7640.7860.5410.5410.067
장소 아이디0.9631.0000.9631.0000.7640.7860.5410.5410.067
장치 아이디0.9630.9631.0001.0000.7640.7860.5410.5410.067
기록 시각1.0001.0001.0001.0001.0001.0001.0001.0001.000
온도(℃)0.7640.7640.7641.0001.0000.6750.7750.7760.228
습도(%)0.7860.7860.7861.0000.6751.0000.4480.4530.218
이산화탄소0.5410.5410.5411.0000.7750.4481.0001.0000.000
휘발성유기화합물0.5410.5410.5411.0000.7760.4531.0001.0000.000
초미세먼지0.0670.0670.0671.0000.2280.2180.0000.0001.000
2023-12-10T21:17:58.917020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소 아이디장치 아이디로그 아이디
장소 아이디1.0000.8260.826
장치 아이디0.8261.0000.826
로그 아이디0.8260.8261.000
2023-12-10T21:17:59.001369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
온도(℃)습도(%)이산화탄소휘발성유기화합물초미세먼지로그 아이디장소 아이디장치 아이디
온도(℃)1.000-0.513-0.1230.205-0.0150.5700.5700.570
습도(%)-0.5131.0000.6210.454-0.2080.5790.5790.579
이산화탄소-0.1230.6211.0000.816-0.6070.8040.8040.804
휘발성유기화합물0.2050.4540.8161.000-0.5210.8040.8040.804
초미세먼지-0.015-0.208-0.607-0.5211.0000.0780.0780.078
로그 아이디0.5700.5790.8040.8040.0781.0000.8260.826
장소 아이디0.5700.5790.8040.8040.0780.8261.0000.826
장치 아이디0.5700.5790.8040.8040.0780.8260.8261.000

Missing values

2023-12-10T21:17:55.788217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:17:55.912576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

로그 아이디장소 아이디장치 아이디장치 타입기록 시각온도(℃)습도(%)이산화탄소휘발성유기화합물초미세먼지
05f28d175a42fcd6d828e013c5f28d175a42fcd6d828e013c5e6c6f8a59a01fe1f35e5c7cundefinedSat Oct 24 2020 11:06:01 GMT+0900 (대한민국 표준시)25.3257.1500023409104111
15f28d175a42fcd6d828e013c5f28d175a42fcd6d828e013c5e6c6f8a59a01fe1f35e5c7cundefinedFri Oct 16 2020 09:46:48 GMT+0900 (대한민국 표준시)23.4135.950001506201
25f28d175a42fcd6d828e013c5f28d175a42fcd6d828e013c5e6c6f8a59a01fe1f35e5c7cundefinedThu Oct 01 2020 19:13:28 GMT+0900 (대한민국 표준시)28.6751.91999881516611
35f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedFri Oct 02 2020 00:15:00 GMT+0900 (대한민국 표준시)24.63999960.236926606
45f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 20:26:22 GMT+0900 (대한민국 표준시)25.0253.2342112811
55f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedFri Oct 02 2020 00:00:07 GMT+0900 (대한민국 표준시)24.46999961.0800026654918
65f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 15:24:24 GMT+0900 (대한민국 표준시)25.71999951.0299994057713
75f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 07:18:00 GMT+0900 (대한민국 표준시)25.0153.8300024782024
85f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 11:23:02 GMT+0900 (대한민국 표준시)26.0949.574491206
95f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 15:09:30 GMT+0900 (대한민국 표준시)25.79000150.8699994049212
로그 아이디장소 아이디장치 아이디장치 타입기록 시각온도(℃)습도(%)이산화탄소휘발성유기화합물초미세먼지
905f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 13:23:03 GMT+0900 (대한민국 표준시)25.54999950.324054810
915f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 13:37:57 GMT+0900 (대한민국 표준시)25.45000150.9399994044011
925f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 14:09:35 GMT+0900 (대한민국 표준시)25.78000150.4000024035713
935f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 14:24:39 GMT+0900 (대한민국 표준시)25.7450.734068714
945f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 15:54:32 GMT+0900 (대한민국 표준시)26.05999950.4340711813
955f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 16:10:56 GMT+0900 (대한민국 표준시)25.9150.43999940912513
965f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 16:41:04 GMT+0900 (대한민국 표준시)26.05999951.15000241115414
975f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 16:56:08 GMT+0900 (대한민국 표준시)26.13999951.8441415914
985f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 03:31:32 GMT+0900 (대한민국 표준시)25.12999955.5400014631935
995f28db44ee39d47796f08a035f28db44ee39d47796f08a035def0f954ff84d079a6cd6f6undefinedThu Oct 01 2020 07:32:53 GMT+0900 (대한민국 표준시)24.8254.0400014801703