Overview

Dataset statistics

Number of variables52
Number of observations3851
Missing cells2046
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory421.0 B

Variable types

Numeric4
Categorical36
Text11
DateTime1

Alerts

water12 has constant value ""Constant
water13 has constant value ""Constant
last_load_dttm has constant value ""Constant
water01 is highly imbalanced (89.9%)Imbalance
water03 is highly imbalanced (67.4%)Imbalance
water06 is highly imbalanced (79.2%)Imbalance
water07 is highly imbalanced (87.0%)Imbalance
water08 is highly imbalanced (96.5%)Imbalance
water10 is highly imbalanced (92.4%)Imbalance
water11 is highly imbalanced (89.1%)Imbalance
water14 is highly imbalanced (93.5%)Imbalance
water15 is highly imbalanced (99.3%)Imbalance
water17 is highly imbalanced (99.3%)Imbalance
water18 is highly imbalanced (85.3%)Imbalance
water19 is highly imbalanced (81.7%)Imbalance
water20 is highly imbalanced (81.7%)Imbalance
water21 is highly imbalanced (81.7%)Imbalance
water22 is highly imbalanced (96.8%)Imbalance
water23 is highly imbalanced (91.2%)Imbalance
water24 is highly imbalanced (91.3%)Imbalance
water25 is highly imbalanced (87.3%)Imbalance
water26 is highly imbalanced (97.7%)Imbalance
water27 is highly imbalanced (94.9%)Imbalance
water28 is highly imbalanced (98.2%)Imbalance
water29 is highly imbalanced (98.3%)Imbalance
water30 is highly imbalanced (88.4%)Imbalance
water31 is highly imbalanced (87.1%)Imbalance
water32 is highly imbalanced (84.5%)Imbalance
water37 is highly imbalanced (83.6%)Imbalance
water38 is highly imbalanced (86.0%)Imbalance
water46 is highly imbalanced (88.1%)Imbalance
water47 is highly imbalanced (57.1%)Imbalance
water02 has 110 (2.9%) missing valuesMissing
water05 has 212 (5.5%) missing valuesMissing
water09 has 114 (3.0%) missing valuesMissing
water16 has 112 (2.9%) missing valuesMissing
water33 has 328 (8.5%) missing valuesMissing
water36 has 143 (3.7%) missing valuesMissing
water40 has 405 (10.5%) missing valuesMissing
water42 has 124 (3.2%) missing valuesMissing
water43 has 124 (3.2%) missing valuesMissing
water44 has 216 (5.6%) missing valuesMissing
water45 has 127 (3.3%) missing valuesMissing
skey has unique valuesUnique
water05 has 1001 (26.0%) zerosZeros

Reproduction

Analysis started2024-04-16 14:15:01.725448
Analysis finished2024-04-16 14:15:03.709302
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct3851
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4220453
Minimum4218528
Maximum4222378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.0 KiB
2024-04-16T23:15:03.793019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4218528
5-th percentile4218720.5
Q14219490.5
median4220453
Q34221415.5
95-th percentile4222185.5
Maximum4222378
Range3850
Interquartile range (IQR)1925

Descriptive statistics

Standard deviation1111.8323
Coefficient of variation (CV)0.00026343908
Kurtosis-1.2
Mean4220453
Median Absolute Deviation (MAD)963
Skewness0
Sum1.6252965 × 1010
Variance1236171
MonotonicityNot monotonic
2024-04-16T23:15:03.962574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4222343 1
 
< 0.1%
4219716 1
 
< 0.1%
4219804 1
 
< 0.1%
4219805 1
 
< 0.1%
4219806 1
 
< 0.1%
4219807 1
 
< 0.1%
4219808 1
 
< 0.1%
4219809 1
 
< 0.1%
4219810 1
 
< 0.1%
4219811 1
 
< 0.1%
Other values (3841) 3841
99.7%
ValueCountFrequency (%)
4218528 1
< 0.1%
4218529 1
< 0.1%
4218530 1
< 0.1%
4218531 1
< 0.1%
4218532 1
< 0.1%
4218533 1
< 0.1%
4218534 1
< 0.1%
4218535 1
< 0.1%
4218536 1
< 0.1%
4218537 1
< 0.1%
ValueCountFrequency (%)
4222378 1
< 0.1%
4222377 1
< 0.1%
4222376 1
< 0.1%
4222375 1
< 0.1%
4222374 1
< 0.1%
4222373 1
< 0.1%
4222372 1
< 0.1%
4222371 1
< 0.1%
4222370 1
< 0.1%
4222369 1
< 0.1%

inspec_yy
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.9862
Minimum2011
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.0 KiB
2024-04-16T23:15:04.101804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2011
Q12013
median2015
Q32017
95-th percentile2019
Maximum2019
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.4610351
Coefficient of variation (CV)0.0012213657
Kurtosis-1.1033995
Mean2014.9862
Median Absolute Deviation (MAD)2
Skewness0.058332166
Sum7759712
Variance6.0566937
MonotonicityNot monotonic
2024-04-16T23:15:04.240947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2015 656
17.0%
2012 454
11.8%
2013 444
11.5%
2014 420
10.9%
2017 398
10.3%
2019 396
10.3%
2018 392
10.2%
2016 365
9.5%
2011 326
8.5%
ValueCountFrequency (%)
2011 326
8.5%
2012 454
11.8%
2013 444
11.5%
2014 420
10.9%
2015 656
17.0%
2016 365
9.5%
2017 398
10.3%
2018 392
10.2%
2019 396
10.3%
ValueCountFrequency (%)
2019 396
10.3%
2018 392
10.2%
2017 398
10.3%
2016 365
9.5%
2015 656
17.0%
2014 420
10.9%
2013 444
11.5%
2012 454
11.8%
2011 326
8.5%

inspec_qt
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
4
1337 
3
969 
2
696 
1
429 
<NA>
420 

Length

Max length4
Median length1
Mean length1.3271877
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 1337
34.7%
3 969
25.2%
2 696
18.1%
1 429
 
11.1%
<NA> 420
 
10.9%

Length

2024-04-16T23:15:04.403395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:04.563641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1337
34.7%
3 969
25.2%
2 696
18.1%
1 429
 
11.1%
na 420
 
10.9%

inspec_area
Categorical

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
금정구
549 
해운대구
508 
부산진구
463 
북구
376 
동래구
345 
Other values (12)
1610 

Length

Max length4
Median length3
Mean length3.0651779
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금정구 549
14.3%
해운대구 508
13.2%
부산진구 463
12.0%
북구 376
9.8%
동래구 345
9.0%
연제구 303
7.9%
사하구 279
7.2%
사상구 221
5.7%
영도구 220
5.7%
남구 162
 
4.2%
Other values (7) 425
11.0%

Length

2024-04-16T23:15:04.731605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
금정구 549
14.3%
해운대구 508
13.2%
부산진구 463
12.0%
북구 376
9.8%
동래구 345
9.0%
연제구 303
7.9%
사하구 279
7.2%
사상구 221
5.7%
영도구 220
5.7%
남구 162
 
4.2%
Other values (7) 425
11.0%
Distinct1072
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
2024-04-16T23:15:05.049008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length6.2365619
Min length2

Characters and Unicode

Total characters24017
Distinct characters372
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique491 ?
Unique (%)12.7%

Sample

1st row일양아파트
2nd row충렬아파트
3rd row충렬중학교
4th row한신아파트
5th row현대아파트
ValueCountFrequency (%)
현대아파트 50
 
1.2%
화신아파트 25
 
0.6%
벽산아파트 24
 
0.6%
한신아파트 23
 
0.6%
화인아파트 23
 
0.6%
새마을금고 19
 
0.5%
어린이놀이터 18
 
0.4%
대우그린아파트 17
 
0.4%
삼성아파트 16
 
0.4%
청소년수련원 15
 
0.4%
Other values (1012) 3950
94.5%
2024-04-16T23:15:05.527349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1314
 
5.5%
1212
 
5.0%
1181
 
4.9%
868
 
3.6%
518
 
2.2%
471
 
2.0%
452
 
1.9%
391
 
1.6%
1 375
 
1.6%
360
 
1.5%
Other values (362) 16875
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21183
88.2%
Decimal Number 1208
 
5.0%
Uppercase Letter 612
 
2.5%
Space Separator 329
 
1.4%
Close Punctuation 257
 
1.1%
Open Punctuation 254
 
1.1%
Other Punctuation 137
 
0.6%
Dash Punctuation 21
 
0.1%
Other Symbol 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1314
 
6.2%
1212
 
5.7%
1181
 
5.6%
868
 
4.1%
518
 
2.4%
471
 
2.2%
452
 
2.1%
391
 
1.8%
360
 
1.7%
346
 
1.6%
Other values (325) 14070
66.4%
Uppercase Letter
ValueCountFrequency (%)
A 203
33.2%
T 140
22.9%
P 132
21.6%
B 30
 
4.9%
S 20
 
3.3%
C 17
 
2.8%
M 16
 
2.6%
K 13
 
2.1%
L 13
 
2.1%
G 13
 
2.1%
Other values (5) 15
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 375
31.0%
2 345
28.6%
0 146
 
12.1%
3 142
 
11.8%
4 52
 
4.3%
5 43
 
3.6%
8 37
 
3.1%
7 33
 
2.7%
9 18
 
1.5%
6 17
 
1.4%
Other Punctuation
ValueCountFrequency (%)
@ 94
68.6%
, 29
 
21.2%
. 6
 
4.4%
& 6
 
4.4%
/ 1
 
0.7%
· 1
 
0.7%
Other Symbol
ValueCountFrequency (%)
10
62.5%
6
37.5%
Space Separator
ValueCountFrequency (%)
329
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Open Punctuation
ValueCountFrequency (%)
( 254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21189
88.2%
Common 2216
 
9.2%
Latin 612
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1314
 
6.2%
1212
 
5.7%
1181
 
5.6%
868
 
4.1%
518
 
2.4%
471
 
2.2%
452
 
2.1%
391
 
1.8%
360
 
1.7%
346
 
1.6%
Other values (326) 14076
66.4%
Common
ValueCountFrequency (%)
1 375
16.9%
2 345
15.6%
329
14.8%
) 257
11.6%
( 254
11.5%
0 146
 
6.6%
3 142
 
6.4%
@ 94
 
4.2%
4 52
 
2.3%
5 43
 
1.9%
Other values (11) 179
8.1%
Latin
ValueCountFrequency (%)
A 203
33.2%
T 140
22.9%
P 132
21.6%
B 30
 
4.9%
S 20
 
3.3%
C 17
 
2.8%
M 16
 
2.6%
K 13
 
2.1%
L 13
 
2.1%
G 13
 
2.1%
Other values (5) 15
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21183
88.2%
ASCII 2817
 
11.7%
Enclosed Alphanum 10
 
< 0.1%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1314
 
6.2%
1212
 
5.7%
1181
 
5.6%
868
 
4.1%
518
 
2.4%
471
 
2.2%
452
 
2.1%
391
 
1.8%
360
 
1.7%
346
 
1.6%
Other values (325) 14070
66.4%
ASCII
ValueCountFrequency (%)
1 375
13.3%
2 345
12.2%
329
11.7%
) 257
9.1%
( 254
9.0%
A 203
7.2%
0 146
 
5.2%
3 142
 
5.0%
T 140
 
5.0%
P 132
 
4.7%
Other values (24) 494
17.5%
Enclosed Alphanum
ValueCountFrequency (%)
10
100.0%
None
ValueCountFrequency (%)
6
85.7%
· 1
 
14.3%

water01
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3673 
<NA>
 
112
-
 
51
0.02
 
7
0.07
 
2
Other values (5)
 
6

Length

Max length4
Median length3
Mean length3.0064918
Min length1

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3673
95.4%
<NA> 112
 
2.9%
- 51
 
1.3%
0.02 7
 
0.2%
0.07 2
 
0.1%
0.03 2
 
0.1%
0.06 1
 
< 0.1%
0.08 1
 
< 0.1%
0.18 1
 
< 0.1%
0.14 1
 
< 0.1%

Length

2024-04-16T23:15:05.687623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:05.822570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3673
95.4%
na 112
 
2.9%
51
 
1.3%
0.02 7
 
0.2%
0.07 2
 
0.1%
0.03 2
 
0.1%
0.06 1
 
< 0.1%
0.08 1
 
< 0.1%
0.18 1
 
< 0.1%
0.14 1
 
< 0.1%

water02
Text

MISSING 

Distinct184
Distinct (%)4.9%
Missing110
Missing (%)2.9%
Memory size30.2 KiB
2024-04-16T23:15:06.163416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.8513766
Min length1

Characters and Unicode

Total characters10667
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)1.7%

Sample

1st row4.4
2nd row0.7
3rd row0.8
4th row5.2
5th row1.6
ValueCountFrequency (%)
2.3 86
 
2.3%
1.6 80
 
2.1%
1.8 80
 
2.1%
2.4 77
 
2.1%
1.7 76
 
2.0%
3.2 71
 
1.9%
2.2 68
 
1.8%
2.6 68
 
1.8%
0.6 66
 
1.8%
3.6 65
 
1.7%
Other values (174) 3004
80.3%
2024-04-16T23:15:07.109673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3376
31.6%
1 1097
 
10.3%
2 1057
 
9.9%
3 934
 
8.8%
4 830
 
7.8%
5 704
 
6.6%
6 694
 
6.5%
8 534
 
5.0%
7 514
 
4.8%
9 452
 
4.2%
Other values (4) 475
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7201
67.5%
Other Punctuation 3376
31.6%
Other Letter 90
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1097
15.2%
2 1057
14.7%
3 934
13.0%
4 830
11.5%
5 704
9.8%
6 694
9.6%
8 534
7.4%
7 514
7.1%
9 452
6.3%
0 385
 
5.3%
Other Letter
ValueCountFrequency (%)
30
33.3%
30
33.3%
30
33.3%
Other Punctuation
ValueCountFrequency (%)
. 3376
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10577
99.2%
Hangul 90
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3376
31.9%
1 1097
 
10.4%
2 1057
 
10.0%
3 934
 
8.8%
4 830
 
7.8%
5 704
 
6.7%
6 694
 
6.6%
8 534
 
5.0%
7 514
 
4.9%
9 452
 
4.3%
Hangul
ValueCountFrequency (%)
30
33.3%
30
33.3%
30
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10577
99.2%
Hangul 90
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3376
31.9%
1 1097
 
10.4%
2 1057
 
10.0%
3 934
 
8.8%
4 830
 
7.8%
5 704
 
6.7%
6 694
 
6.6%
8 534
 
5.0%
7 514
 
4.9%
9 452
 
4.3%
Hangul
ValueCountFrequency (%)
30
33.3%
30
33.3%
30
33.3%

water03
Categorical

IMBALANCE 

Distinct27
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
0.3
2577 
0.6
786 
<NA>
 
201
0.9
 
168
0.4
 
26
Other values (22)
 
93

Length

Max length4
Median length3
Mean length3.0485588
Min length1

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row0.3
2nd row<NA>
3rd row<NA>
4th row0.6
5th row0.3

Common Values

ValueCountFrequency (%)
0.3 2577
66.9%
0.6 786
 
20.4%
<NA> 201
 
5.2%
0.9 168
 
4.4%
0.4 26
 
0.7%
1.3 20
 
0.5%
0.5 11
 
0.3%
0.7 9
 
0.2%
1.5 8
 
0.2%
1.6 5
 
0.1%
Other values (17) 40
 
1.0%

Length

2024-04-16T23:15:07.290129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.3 2577
66.9%
0.6 786
 
20.4%
na 201
 
5.2%
0.9 168
 
4.4%
0.4 26
 
0.7%
1.3 20
 
0.5%
0.5 11
 
0.3%
0.7 9
 
0.2%
1.5 8
 
0.2%
1.6 5
 
0.1%
Other values (17) 40
 
1.0%

water05
Real number (ℝ)

MISSING  ZEROS 

Distinct241
Distinct (%)6.6%
Missing212
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean148.61638
Minimum0
Maximum17000
Zeros1001
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size34.0 KiB
2024-04-16T23:15:07.444870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q353
95-th percentile621
Maximum17000
Range17000
Interquartile range (IQR)53

Descriptive statistics

Standard deviation709.21311
Coefficient of variation (CV)4.772106
Kurtosis178.53796
Mean148.61638
Median Absolute Deviation (MAD)11
Skewness11.343611
Sum540815
Variance502983.23
MonotonicityNot monotonic
2024-04-16T23:15:07.597922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1001
26.0%
2 108
 
2.8%
1 108
 
2.8%
4 85
 
2.2%
3 81
 
2.1%
10 77
 
2.0%
5 76
 
2.0%
8 71
 
1.8%
6 66
 
1.7%
7 59
 
1.5%
Other values (231) 1907
49.5%
(Missing) 212
 
5.5%
ValueCountFrequency (%)
0 1001
26.0%
1 108
 
2.8%
2 108
 
2.8%
3 81
 
2.1%
4 85
 
2.2%
5 76
 
2.0%
6 66
 
1.7%
7 59
 
1.5%
8 71
 
1.8%
9 56
 
1.5%
ValueCountFrequency (%)
17000 1
< 0.1%
12300 2
0.1%
11000 1
< 0.1%
7600 1
< 0.1%
7400 1
< 0.1%
7300 1
< 0.1%
7100 1
< 0.1%
7000 1
< 0.1%
6700 1
< 0.1%
6600 2
0.1%

water06
Categorical

IMBALANCE 

Distinct29
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
2811 
검출
971 
2미만(5000이하)
 
12
2
 
11
4
 
4
Other values (24)
 
42

Length

Max length11
Median length3
Mean length2.7613607
Min length1

Unique

Unique12 ?
Unique (%)0.3%

Sample

1st row불검출
2nd row불검출
3rd row350
4th row불검출
5th row검출

Common Values

ValueCountFrequency (%)
불검출 2811
73.0%
검출 971
 
25.2%
2미만(5000이하) 12
 
0.3%
2 11
 
0.3%
4 4
 
0.1%
부적합 4
 
0.1%
7 3
 
0.1%
7.3 3
 
0.1%
6 3
 
0.1%
220 3
 
0.1%
Other values (19) 26
 
0.7%

Length

2024-04-16T23:15:07.764025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 2811
73.0%
검출 971
 
25.2%
2미만(5000이하 12
 
0.3%
2 11
 
0.3%
4 4
 
0.1%
부적합 4
 
0.1%
7 3
 
0.1%
7.3 3
 
0.1%
6 3
 
0.1%
220 3
 
0.1%
Other values (19) 26
 
0.7%

water07
Categorical

IMBALANCE 

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3563 
<NA>
 
115
검출
 
112
-
 
49
61.6
 
1
Other values (11)
 
11

Length

Max length4
Median length3
Mean length2.9784472
Min length1

Unique

Unique12 ?
Unique (%)0.3%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3563
92.5%
<NA> 115
 
3.0%
검출 112
 
2.9%
- 49
 
1.3%
61.6 1
 
< 0.1%
25.3 1
 
< 0.1%
23.1 1
 
< 0.1%
77.5 1
 
< 0.1%
60.7 1
 
< 0.1%
64.8 1
 
< 0.1%
Other values (6) 6
 
0.2%

Length

2024-04-16T23:15:07.912788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 3563
92.5%
na 115
 
3.0%
검출 112
 
2.9%
49
 
1.3%
61.6 1
 
< 0.1%
25.3 1
 
< 0.1%
23.1 1
 
< 0.1%
77.5 1
 
< 0.1%
60.7 1
 
< 0.1%
64.8 1
 
< 0.1%
Other values (6) 6
 
0.2%

water08
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3794 
<NA>
 
44
0.43
 
1
0.78
 
1
0.48
 
1
Other values (10)
 
10

Length

Max length4
Median length3
Mean length3.0145417
Min length3

Unique

Unique13 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3794
98.5%
<NA> 44
 
1.1%
0.43 1
 
< 0.1%
0.78 1
 
< 0.1%
0.48 1
 
< 0.1%
0.55 1
 
< 0.1%
0.28 1
 
< 0.1%
0.57 1
 
< 0.1%
0.33 1
 
< 0.1%
1.26 1
 
< 0.1%
Other values (5) 5
 
0.1%

Length

2024-04-16T23:15:08.068193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 3794
98.5%
na 44
 
1.1%
0.43 1
 
< 0.1%
0.78 1
 
< 0.1%
0.48 1
 
< 0.1%
0.55 1
 
< 0.1%
0.28 1
 
< 0.1%
0.57 1
 
< 0.1%
0.33 1
 
< 0.1%
1.26 1
 
< 0.1%
Other values (5) 5
 
0.1%

water09
Text

MISSING 

Distinct135
Distinct (%)3.6%
Missing114
Missing (%)3.0%
Memory size30.2 KiB
2024-04-16T23:15:08.304630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4744447
Min length1

Characters and Unicode

Total characters12984
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)0.9%

Sample

1st row0.51
2nd row-
3rd row-
4th row0.23
5th row0.31
ValueCountFrequency (%)
불검출 1632
43.7%
0.18 122
 
3.3%
0.16 119
 
3.2%
0.17 103
 
2.8%
0.21 102
 
2.7%
0.22 101
 
2.7%
0.2 95
 
2.5%
0.19 94
 
2.5%
0.15 86
 
2.3%
0.23 78
 
2.1%
Other values (125) 1205
32.2%
2024-04-16T23:15:08.751716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2055
15.8%
0 2012
15.5%
1632
12.6%
1632
12.6%
1632
12.6%
2 951
7.3%
1 827
6.4%
3 496
 
3.8%
5 311
 
2.4%
6 310
 
2.4%
Other values (5) 1126
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5984
46.1%
Other Letter 4896
37.7%
Other Punctuation 2055
 
15.8%
Dash Punctuation 49
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2012
33.6%
2 951
15.9%
1 827
13.8%
3 496
 
8.3%
5 311
 
5.2%
6 310
 
5.2%
4 302
 
5.0%
8 263
 
4.4%
9 257
 
4.3%
7 255
 
4.3%
Other Letter
ValueCountFrequency (%)
1632
33.3%
1632
33.3%
1632
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2055
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8088
62.3%
Hangul 4896
37.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2055
25.4%
0 2012
24.9%
2 951
11.8%
1 827
10.2%
3 496
 
6.1%
5 311
 
3.8%
6 310
 
3.8%
4 302
 
3.7%
8 263
 
3.3%
9 257
 
3.2%
Other values (2) 304
 
3.8%
Hangul
ValueCountFrequency (%)
1632
33.3%
1632
33.3%
1632
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8088
62.3%
Hangul 4896
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2055
25.4%
0 2012
24.9%
2 951
11.8%
1 827
10.2%
3 496
 
6.1%
5 311
 
3.8%
6 310
 
3.8%
4 302
 
3.7%
8 263
 
3.3%
9 257
 
3.2%
Other values (2) 304
 
3.8%
Hangul
ValueCountFrequency (%)
1632
33.3%
1632
33.3%
1632
33.3%

water10
Categorical

IMBALANCE 

Distinct34
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3705 
0.005
 
30
0.007
 
16
0.006
 
16
0.008
 
14
Other values (29)
 
70

Length

Max length5
Median length3
Mean length3.0742664
Min length3

Unique

Unique16 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3705
96.2%
0.005 30
 
0.8%
0.007 16
 
0.4%
0.006 16
 
0.4%
0.008 14
 
0.4%
0.014 9
 
0.2%
0.013 6
 
0.2%
0.012 6
 
0.2%
0.009 6
 
0.2%
0.002 5
 
0.1%
Other values (24) 38
 
1.0%

Length

2024-04-16T23:15:08.931916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 3705
96.2%
0.005 30
 
0.8%
0.007 16
 
0.4%
0.006 16
 
0.4%
0.008 14
 
0.4%
0.014 9
 
0.2%
0.013 6
 
0.2%
0.012 6
 
0.2%
0.009 6
 
0.2%
0.002 5
 
0.1%
Other values (24) 38
 
1.0%

water11
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3683 
<NA>
 
114
-
 
49
0.007
 
2
0.006
 
1
Other values (2)
 
2

Length

Max length5
Median length3
Mean length3.0067515
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3683
95.6%
<NA> 114
 
3.0%
- 49
 
1.3%
0.007 2
 
0.1%
0.006 1
 
< 0.1%
0.011 1
 
< 0.1%
0.005 1
 
< 0.1%

Length

2024-04-16T23:15:09.093511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:09.237210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3683
95.6%
na 114
 
3.0%
49
 
1.3%
0.007 2
 
0.1%
0.006 1
 
< 0.1%
0.011 1
 
< 0.1%
0.005 1
 
< 0.1%

water12
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3851 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3851
100.0%

Length

2024-04-16T23:15:09.372564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:09.493360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3851
100.0%

water13
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3851 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3851
100.0%

Length

2024-04-16T23:15:09.611785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:09.723100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3851
100.0%

water14
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3767 
0.001
 
51
<NA>
 
26
0.002
 
4
0.004
 
1
Other values (2)
 
2

Length

Max length5
Median length3
Mean length3.0366139
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3767
97.8%
0.001 51
 
1.3%
<NA> 26
 
0.7%
0.002 4
 
0.1%
0.004 1
 
< 0.1%
0.003 1
 
< 0.1%
0.02 1
 
< 0.1%

Length

2024-04-16T23:15:09.851275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:09.991873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3767
97.8%
0.001 51
 
1.3%
na 26
 
0.7%
0.002 4
 
0.1%
0.004 1
 
< 0.1%
0.003 1
 
< 0.1%
0.02 1
 
< 0.1%

water15
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3847 
0.002
 
2
0.0005
 
1
0.007
 
1

Length

Max length6
Median length3
Mean length3.0023371
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3847
99.9%
0.002 2
 
0.1%
0.0005 1
 
< 0.1%
0.007 1
 
< 0.1%

Length

2024-04-16T23:15:10.139468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:10.261578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3847
99.9%
0.002 2
 
0.1%
0.0005 1
 
< 0.1%
0.007 1
 
< 0.1%

water16
Text

MISSING 

Distinct54
Distinct (%)1.4%
Missing112
Missing (%)2.9%
Memory size30.2 KiB
2024-04-16T23:15:10.419866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.3840599
Min length1

Characters and Unicode

Total characters12653
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)0.6%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출
ValueCountFrequency (%)
불검출 2183
58.4%
0.01 685
 
18.3%
0.02 433
 
11.6%
0.03 137
 
3.7%
0.04 78
 
2.1%
51
 
1.4%
0.05 25
 
0.7%
0.07 18
 
0.5%
0.15 17
 
0.5%
0.06 16
 
0.4%
Other values (44) 96
 
2.6%
2024-04-16T23:15:10.799322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2978
23.5%
2183
17.3%
2183
17.3%
2183
17.3%
. 1505
11.9%
1 742
 
5.9%
2 454
 
3.6%
3 151
 
1.2%
4 91
 
0.7%
5 56
 
0.4%
Other values (5) 127
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6549
51.8%
Decimal Number 4548
35.9%
Other Punctuation 1505
 
11.9%
Dash Punctuation 51
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2978
65.5%
1 742
 
16.3%
2 454
 
10.0%
3 151
 
3.3%
4 91
 
2.0%
5 56
 
1.2%
7 24
 
0.5%
6 23
 
0.5%
9 19
 
0.4%
8 10
 
0.2%
Other Letter
ValueCountFrequency (%)
2183
33.3%
2183
33.3%
2183
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6549
51.8%
Common 6104
48.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2978
48.8%
. 1505
24.7%
1 742
 
12.2%
2 454
 
7.4%
3 151
 
2.5%
4 91
 
1.5%
5 56
 
0.9%
- 51
 
0.8%
7 24
 
0.4%
6 23
 
0.4%
Other values (2) 29
 
0.5%
Hangul
ValueCountFrequency (%)
2183
33.3%
2183
33.3%
2183
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6549
51.8%
ASCII 6104
48.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2978
48.8%
. 1505
24.7%
1 742
 
12.2%
2 454
 
7.4%
3 151
 
2.5%
4 91
 
1.5%
5 56
 
0.9%
- 51
 
0.8%
7 24
 
0.4%
6 23
 
0.4%
Other values (2) 29
 
0.5%
Hangul
ValueCountFrequency (%)
2183
33.3%
2183
33.3%
2183
33.3%

water17
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3847 
0.001
 
2
0.002
 
1
0.005
 
1

Length

Max length5
Median length3
Mean length3.0020774
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3847
99.9%
0.001 2
 
0.1%
0.002 1
 
< 0.1%
0.005 1
 
< 0.1%

Length

2024-04-16T23:15:10.990648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:11.139784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3847
99.9%
0.001 2
 
0.1%
0.002 1
 
< 0.1%
0.005 1
 
< 0.1%

water18
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3687 
<NA>
 
112
-
 
51
0.0022
 
1

Length

Max length6
Median length3
Mean length3.0033757
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3687
95.7%
<NA> 112
 
2.9%
- 51
 
1.3%
0.0022 1
 
< 0.1%

Length

2024-04-16T23:15:11.305968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:11.446608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3687
95.7%
na 112
 
2.9%
51
 
1.3%
0.0022 1
 
< 0.1%

water19
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3688 
<NA>
 
112
-
 
51

Length

Max length4
Median length3
Mean length3.0025967
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3688
95.8%
<NA> 112
 
2.9%
- 51
 
1.3%

Length

2024-04-16T23:15:11.595546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:11.728212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3688
95.8%
na 112
 
2.9%
51
 
1.3%

water20
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3688 
<NA>
 
112
-
 
51

Length

Max length4
Median length3
Mean length3.0025967
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3688
95.8%
<NA> 112
 
2.9%
- 51
 
1.3%

Length

2024-04-16T23:15:11.868319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:12.012733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3688
95.8%
na 112
 
2.9%
51
 
1.3%

water21
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3688 
<NA>
 
112
-
 
51

Length

Max length4
Median length3
Mean length3.0025967
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3688
95.8%
<NA> 112
 
2.9%
- 51
 
1.3%

Length

2024-04-16T23:15:12.160189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:12.286089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3688
95.8%
na 112
 
2.9%
51
 
1.3%

water22
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3813 
<NA>
 
25
0.001
 
8
0.003
 
1
0.027
 
1
Other values (3)
 
3

Length

Max length5
Median length3
Mean length3.0129836
Min length3

Unique

Unique5 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3813
99.0%
<NA> 25
 
0.6%
0.001 8
 
0.2%
0.003 1
 
< 0.1%
0.027 1
 
< 0.1%
0.019 1
 
< 0.1%
0.01 1
 
< 0.1%
0.029 1
 
< 0.1%

Length

2024-04-16T23:15:12.418770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:12.580637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3813
99.0%
na 25
 
0.6%
0.001 8
 
0.2%
0.003 1
 
< 0.1%
0.027 1
 
< 0.1%
0.019 1
 
< 0.1%
0.01 1
 
< 0.1%
0.029 1
 
< 0.1%

water23
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3697 
0.001
 
44
0.002
 
26
<NA>
 
25
0
 
15
Other values (13)
 
44

Length

Max length5
Median length3
Mean length3.057907
Min length1

Unique

Unique6 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3697
96.0%
0.001 44
 
1.1%
0.002 26
 
0.7%
<NA> 25
 
0.6%
0 15
 
0.4%
0.004 13
 
0.3%
0.003 8
 
0.2%
0.008 5
 
0.1%
0.009 4
 
0.1%
0.006 3
 
0.1%
Other values (8) 11
 
0.3%

Length

2024-04-16T23:15:12.735704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 3697
96.0%
0.001 44
 
1.1%
0.002 26
 
0.7%
na 25
 
0.6%
0 15
 
0.4%
0.004 13
 
0.3%
0.003 8
 
0.2%
0.008 5
 
0.1%
0.009 4
 
0.1%
0.005 3
 
0.1%
Other values (8) 11
 
0.3%

water24
Categorical

IMBALANCE 

Distinct31
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3675 
0.001
 
58
0.002
 
31
0.003
 
13
<NA>
 
12
Other values (26)
 
62

Length

Max length5
Median length3
Mean length3.0869904
Min length3

Unique

Unique13 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3675
95.4%
0.001 58
 
1.5%
0.002 31
 
0.8%
0.003 13
 
0.3%
<NA> 12
 
0.3%
0.004 8
 
0.2%
0.005 8
 
0.2%
0.008 7
 
0.2%
0.014 5
 
0.1%
0.006 4
 
0.1%
Other values (21) 30
 
0.8%

Length

2024-04-16T23:15:12.922244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 3675
95.4%
0.001 58
 
1.5%
0.002 31
 
0.8%
0.003 13
 
0.3%
na 12
 
0.3%
0.004 8
 
0.2%
0.005 8
 
0.2%
0.008 7
 
0.2%
0.014 5
 
0.1%
0.006 4
 
0.1%
Other values (21) 30
 
0.8%

water25
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3629 
<NA>
 
124
-
 
51
0.003
 
28
0.004
 
12
Other values (5)
 
7

Length

Max length5
Median length3
Mean length3.030122
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3629
94.2%
<NA> 124
 
3.2%
- 51
 
1.3%
0.003 28
 
0.7%
0.004 12
 
0.3%
0.014 2
 
0.1%
0.036 2
 
0.1%
0.002 1
 
< 0.1%
0.011 1
 
< 0.1%
0.005 1
 
< 0.1%

Length

2024-04-16T23:15:13.086497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:13.237109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3629
94.2%
na 124
 
3.2%
51
 
1.3%
0.003 28
 
0.7%
0.004 12
 
0.3%
0.014 2
 
0.1%
0.036 2
 
0.1%
0.002 1
 
< 0.1%
0.011 1
 
< 0.1%
0.005 1
 
< 0.1%

water26
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3830 
<NA>
 
12
0.001
 
4
0.003
 
2
0.002
 
2

Length

Max length5
Median length3
Mean length3.0067515
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3830
99.5%
<NA> 12
 
0.3%
0.001 4
 
0.1%
0.003 2
 
0.1%
0.002 2
 
0.1%
0 1
 
< 0.1%

Length

2024-04-16T23:15:13.407584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:13.554674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3830
99.5%
na 12
 
0.3%
0.001 4
 
0.1%
0.003 2
 
0.1%
0.002 2
 
0.1%
0 1
 
< 0.1%

water27
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3779 
0.002
 
21
0.003
 
18
0.001
 
12
<NA>
 
12
Other values (7)
 
9

Length

Max length10
Median length3
Mean length3.0363542
Min length3

Unique

Unique5 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3779
98.1%
0.002 21
 
0.5%
0.003 18
 
0.5%
0.001 12
 
0.3%
<NA> 12
 
0.3%
0.017 2
 
0.1%
0.02 2
 
0.1%
0.026(1이하) 1
 
< 0.1%
0.001(1이하) 1
 
< 0.1%
0.007 1
 
< 0.1%
Other values (2) 2
 
0.1%

Length

2024-04-16T23:15:13.705080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 3779
98.1%
0.002 21
 
0.5%
0.003 18
 
0.5%
0.001 12
 
0.3%
na 12
 
0.3%
0.017 2
 
0.1%
0.02 2
 
0.1%
0.026(1이하 1
 
< 0.1%
0.001(1이하 1
 
< 0.1%
0.007 1
 
< 0.1%
Other values (2) 2
 
0.1%

water28
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3834 
<NA>
 
12
0.003
 
2
0.001
 
1
0.002(0.45이하)
 
1

Length

Max length13
Median length3
Mean length3.0077902
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3834
99.6%
<NA> 12
 
0.3%
0.003 2
 
0.1%
0.001 1
 
< 0.1%
0.002(0.45이하) 1
 
< 0.1%
0.002 1
 
< 0.1%

Length

2024-04-16T23:15:13.840017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:13.960491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3834
99.6%
na 12
 
0.3%
0.003 2
 
0.1%
0.001 1
 
< 0.1%
0.002(0.45이하 1
 
< 0.1%
0.002 1
 
< 0.1%

water29
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3835 
<NA>
 
12
0.005
 
1
0.002
 
1
0.008(0.75이하)
 
1

Length

Max length13
Median length3
Mean length3.0072708
Min length3

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 3835
99.6%
<NA> 12
 
0.3%
0.005 1
 
< 0.1%
0.002 1
 
< 0.1%
0.008(0.75이하) 1
 
< 0.1%
0.001 1
 
< 0.1%

Length

2024-04-16T23:15:14.112932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:14.243628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3835
99.6%
na 12
 
0.3%
0.005 1
 
< 0.1%
0.002 1
 
< 0.1%
0.008(0.75이하 1
 
< 0.1%
0.001 1
 
< 0.1%

water30
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3640 
<NA>
 
124
-
 
51
0.001
 
18
0.002
 
7
Other values (6)
 
11

Length

Max length5
Median length3
Mean length3.0244092
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3640
94.5%
<NA> 124
 
3.2%
- 51
 
1.3%
0.001 18
 
0.5%
0.002 7
 
0.2%
0.004 4
 
0.1%
0.005 2
 
0.1%
0.003 2
 
0.1%
0.011 1
 
< 0.1%
0.008 1
 
< 0.1%

Length

2024-04-16T23:15:14.412080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 3640
94.5%
na 124
 
3.2%
51
 
1.3%
0.001 18
 
0.5%
0.002 7
 
0.2%
0.004 4
 
0.1%
0.005 2
 
0.1%
0.003 2
 
0.1%
0.011 1
 
< 0.1%
0.008 1
 
< 0.1%

water31
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3667 
<NA>
 
124
-
 
51
0.001
 
6
0.002
 
2

Length

Max length5
Median length3
Mean length3.0103869
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3667
95.2%
<NA> 124
 
3.2%
- 51
 
1.3%
0.001 6
 
0.2%
0.002 2
 
0.1%
0.015 1
 
< 0.1%

Length

2024-04-16T23:15:14.601938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:14.769178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3667
95.2%
na 124
 
3.2%
51
 
1.3%
0.001 6
 
0.2%
0.002 2
 
0.1%
0.015 1
 
< 0.1%

water32
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3675 
<NA>
 
124
-
 
51
0.001
 
1

Length

Max length5
Median length3
Mean length3.0062321
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3675
95.4%
<NA> 124
 
3.2%
- 51
 
1.3%
0.001 1
 
< 0.1%

Length

2024-04-16T23:15:14.943893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:15.108994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3675
95.4%
na 124
 
3.2%
51
 
1.3%
0.001 1
 
< 0.1%

water33
Real number (ℝ)

MISSING 

Distinct293
Distinct (%)8.3%
Missing328
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean115.06812
Minimum1
Maximum346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.0 KiB
2024-04-16T23:15:15.249090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34
Q172.5
median108
Q3148
95-th percentile223.9
Maximum346
Range345
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation58.296447
Coefficient of variation (CV)0.50662551
Kurtosis0.30087107
Mean115.06812
Median Absolute Deviation (MAD)37
Skewness0.66863997
Sum405385
Variance3398.4758
MonotonicityNot monotonic
2024-04-16T23:15:15.898265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105 40
 
1.0%
90 35
 
0.9%
85 34
 
0.9%
125 33
 
0.9%
60 32
 
0.8%
114 31
 
0.8%
73 30
 
0.8%
102 30
 
0.8%
69 30
 
0.8%
87 29
 
0.8%
Other values (283) 3199
83.1%
(Missing) 328
 
8.5%
ValueCountFrequency (%)
1 5
0.1%
2 2
 
0.1%
3 1
 
< 0.1%
4 8
0.2%
5 6
0.2%
6 3
 
0.1%
7 3
 
0.1%
8 4
0.1%
9 4
0.1%
10 4
0.1%
ValueCountFrequency (%)
346 1
< 0.1%
327 1
< 0.1%
325 1
< 0.1%
320 1
< 0.1%
312 1
< 0.1%
307 1
< 0.1%
305 2
0.1%
304 2
0.1%
302 1
< 0.1%
300 1
< 0.1%

water34
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
없음
2349 
적합
1232 
-
 
102
불검출
 
92
<NA>
 
76

Length

Max length4
Median length2
Mean length2.0368735
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row없음
2nd row-
3rd row-
4th row없음
5th row없음

Common Values

ValueCountFrequency (%)
없음 2349
61.0%
적합 1232
32.0%
- 102
 
2.6%
불검출 92
 
2.4%
<NA> 76
 
2.0%

Length

2024-04-16T23:15:16.061947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:16.197567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 2349
61.0%
적합 1232
32.0%
102
 
2.6%
불검출 92
 
2.4%
na 76
 
2.0%

water35
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
없음
2349 
적합
1232 
-
 
102
불검출
 
92
<NA>
 
76

Length

Max length4
Median length2
Mean length2.0368735
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row없음
2nd row-
3rd row-
4th row없음
5th row없음

Common Values

ValueCountFrequency (%)
없음 2349
61.0%
적합 1232
32.0%
- 102
 
2.6%
불검출 92
 
2.4%
<NA> 76
 
2.0%

Length

2024-04-16T23:15:16.339427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:16.471589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 2349
61.0%
적합 1232
32.0%
102
 
2.6%
불검출 92
 
2.4%
na 76
 
2.0%

water36
Text

MISSING 

Distinct103
Distinct (%)2.8%
Missing143
Missing (%)3.7%
Memory size30.2 KiB
2024-04-16T23:15:16.667895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2861381
Min length1

Characters and Unicode

Total characters12185
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)1.2%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출
ValueCountFrequency (%)
불검출 2779
74.9%
적합 122
 
3.3%
0.008 88
 
2.4%
0.009 61
 
1.6%
0.01 53
 
1.4%
0.011 52
 
1.4%
51
 
1.4%
0.012 50
 
1.3%
1 35
 
0.9%
0.014 30
 
0.8%
Other values (93) 387
 
10.4%
2024-04-16T23:15:17.100206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2779
22.8%
2779
22.8%
2779
22.8%
0 1605
13.2%
. 721
 
5.9%
1 451
 
3.7%
2 204
 
1.7%
8 136
 
1.1%
122
 
1.0%
122
 
1.0%
Other values (7) 487
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8581
70.4%
Decimal Number 2832
 
23.2%
Other Punctuation 721
 
5.9%
Dash Punctuation 51
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1605
56.7%
1 451
 
15.9%
2 204
 
7.2%
8 136
 
4.8%
9 96
 
3.4%
3 92
 
3.2%
4 83
 
2.9%
5 67
 
2.4%
7 50
 
1.8%
6 48
 
1.7%
Other Letter
ValueCountFrequency (%)
2779
32.4%
2779
32.4%
2779
32.4%
122
 
1.4%
122
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 721
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8581
70.4%
Common 3604
29.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1605
44.5%
. 721
20.0%
1 451
 
12.5%
2 204
 
5.7%
8 136
 
3.8%
9 96
 
2.7%
3 92
 
2.6%
4 83
 
2.3%
5 67
 
1.9%
- 51
 
1.4%
Other values (2) 98
 
2.7%
Hangul
ValueCountFrequency (%)
2779
32.4%
2779
32.4%
2779
32.4%
122
 
1.4%
122
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8581
70.4%
ASCII 3604
29.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2779
32.4%
2779
32.4%
2779
32.4%
122
 
1.4%
122
 
1.4%
ASCII
ValueCountFrequency (%)
0 1605
44.5%
. 721
20.0%
1 451
 
12.5%
2 204
 
5.7%
8 136
 
3.8%
9 96
 
2.7%
3 92
 
2.6%
4 83
 
2.3%
5 67
 
1.9%
- 51
 
1.4%
Other values (2) 98
 
2.7%

water37
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
1
3572 
<NA>
 
193
적합
 
71
5
 
7
2
 
5
Other values (2)
 
3

Length

Max length4
Median length1
Mean length1.1693067
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3572
92.8%
<NA> 193
 
5.0%
적합 71
 
1.8%
5 7
 
0.2%
2 5
 
0.1%
3 2
 
0.1%
불검출 1
 
< 0.1%

Length

2024-04-16T23:15:17.274615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:17.404866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3572
92.8%
na 193
 
5.0%
적합 71
 
1.8%
5 7
 
0.2%
2 5
 
0.1%
3 2
 
0.1%
불검출 1
 
< 0.1%

water38
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3655 
<NA>
 
124
-
 
51
없음
 
10
0.1
 
10

Length

Max length4
Median length3
Mean length3.0031161
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3655
94.9%
<NA> 124
 
3.2%
- 51
 
1.3%
없음 10
 
0.3%
0.1 10
 
0.3%
블검출 1
 
< 0.1%

Length

2024-04-16T23:15:17.566429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T23:15:17.685780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 3655
94.9%
na 124
 
3.2%
51
 
1.3%
없음 10
 
0.3%
0.1 10
 
0.3%
블검출 1
 
< 0.1%

water39
Categorical

Distinct39
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
7.1
290 
7.4
282 
7.2
275 
7.5
256 
7.3
251 
Other values (34)
2497 

Length

Max length4
Median length3
Mean length2.7816152
Min length1

Unique

Unique7 ?
Unique (%)0.2%

Sample

1st row6.7
2nd row7.5
3rd row6.7
4th row7.1
5th row7.1

Common Values

ValueCountFrequency (%)
7.1 290
 
7.5%
7.4 282
 
7.3%
7.2 275
 
7.1%
7.5 256
 
6.6%
7.3 251
 
6.5%
6.9 219
 
5.7%
7 213
 
5.5%
7.6 211
 
5.5%
6.8 198
 
5.1%
7.7 187
 
4.9%
Other values (29) 1469
38.1%

Length

2024-04-16T23:15:17.822160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
7.1 290
 
7.5%
7.4 282
 
7.3%
7.2 275
 
7.1%
7.5 256
 
6.6%
7.3 251
 
6.5%
6.9 219
 
5.7%
7 213
 
5.5%
7.6 211
 
5.5%
6.8 198
 
5.1%
7.7 187
 
4.9%
Other values (29) 1469
38.1%

water40
Text

MISSING 

Distinct407
Distinct (%)11.8%
Missing405
Missing (%)10.5%
Memory size30.2 KiB
2024-04-16T23:15:18.219951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.7141613
Min length3

Characters and Unicode

Total characters16245
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)5.0%

Sample

1st row0.026
2nd row0.005
3rd row0.006
4th row0.018
5th row0.091
ValueCountFrequency (%)
불검출 321
 
9.3%
0.003 80
 
2.3%
0.007 77
 
2.2%
0.013 75
 
2.2%
0.01 69
 
2.0%
0.006 69
 
2.0%
0.011 67
 
1.9%
0.009 66
 
1.9%
0.014 64
 
1.9%
0.004 64
 
1.9%
Other values (397) 2494
72.4%
2024-04-16T23:15:18.783951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6237
38.4%
. 3125
19.2%
1 1257
 
7.7%
2 955
 
5.9%
3 787
 
4.8%
4 618
 
3.8%
5 533
 
3.3%
6 488
 
3.0%
7 433
 
2.7%
8 431
 
2.7%
Other values (4) 1381
 
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12157
74.8%
Other Punctuation 3125
 
19.2%
Other Letter 963
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6237
51.3%
1 1257
 
10.3%
2 955
 
7.9%
3 787
 
6.5%
4 618
 
5.1%
5 533
 
4.4%
6 488
 
4.0%
7 433
 
3.6%
8 431
 
3.5%
9 418
 
3.4%
Other Letter
ValueCountFrequency (%)
321
33.3%
321
33.3%
321
33.3%
Other Punctuation
ValueCountFrequency (%)
. 3125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15282
94.1%
Hangul 963
 
5.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6237
40.8%
. 3125
20.4%
1 1257
 
8.2%
2 955
 
6.2%
3 787
 
5.1%
4 618
 
4.0%
5 533
 
3.5%
6 488
 
3.2%
7 433
 
2.8%
8 431
 
2.8%
Hangul
ValueCountFrequency (%)
321
33.3%
321
33.3%
321
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15282
94.1%
Hangul 963
 
5.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6237
40.8%
. 3125
20.4%
1 1257
 
8.2%
2 955
 
6.2%
3 787
 
5.1%
4 618
 
4.0%
5 533
 
3.5%
6 488
 
3.2%
7 433
 
2.8%
8 431
 
2.8%
Hangul
ValueCountFrequency (%)
321
33.3%
321
33.3%
321
33.3%
Distinct735
Distinct (%)19.2%
Missing31
Missing (%)0.8%
Memory size30.2 KiB
2024-04-16T23:15:19.215155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.9649215
Min length1

Characters and Unicode

Total characters11326
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)5.3%

Sample

1st row22.5
2nd row32.6
3rd row90.5
4th row17.9
5th row32.1
ValueCountFrequency (%)
적합 136
 
3.6%
9 49
 
1.3%
12 47
 
1.2%
26 44
 
1.2%
14 41
 
1.1%
10 41
 
1.1%
27 40
 
1.0%
28 40
 
1.0%
25 40
 
1.0%
16 39
 
1.0%
Other values (725) 3303
86.5%
2024-04-16T23:15:19.826836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2136
18.9%
1 1432
12.6%
2 1419
12.5%
3 1138
10.0%
4 968
8.5%
6 807
 
7.1%
5 772
 
6.8%
7 680
 
6.0%
8 641
 
5.7%
9 629
 
5.6%
Other values (6) 704
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8864
78.3%
Other Punctuation 2136
 
18.9%
Other Letter 326
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1432
16.2%
2 1419
16.0%
3 1138
12.8%
4 968
10.9%
6 807
9.1%
5 772
8.7%
7 680
7.7%
8 641
7.2%
9 629
7.1%
0 378
 
4.3%
Other Letter
ValueCountFrequency (%)
136
41.7%
136
41.7%
18
 
5.5%
18
 
5.5%
18
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 2136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11000
97.1%
Hangul 326
 
2.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2136
19.4%
1 1432
13.0%
2 1419
12.9%
3 1138
10.3%
4 968
8.8%
6 807
 
7.3%
5 772
 
7.0%
7 680
 
6.2%
8 641
 
5.8%
9 629
 
5.7%
Hangul
ValueCountFrequency (%)
136
41.7%
136
41.7%
18
 
5.5%
18
 
5.5%
18
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11000
97.1%
Hangul 326
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2136
19.4%
1 1432
13.0%
2 1419
12.9%
3 1138
10.3%
4 968
8.8%
6 807
 
7.3%
5 772
 
7.0%
7 680
 
6.2%
8 641
 
5.8%
9 629
 
5.7%
Hangul
ValueCountFrequency (%)
136
41.7%
136
41.7%
18
 
5.5%
18
 
5.5%
18
 
5.5%

water42
Text

MISSING 

Distinct60
Distinct (%)1.6%
Missing124
Missing (%)3.2%
Memory size30.2 KiB
2024-04-16T23:15:20.045992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0775423
Min length1

Characters and Unicode

Total characters11470
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.6%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출
ValueCountFrequency (%)
불검출 3264
87.6%
51
 
1.4%
0.06 26
 
0.7%
0.12 26
 
0.7%
0.08 22
 
0.6%
0.22 21
 
0.6%
0.24 21
 
0.6%
0.13 21
 
0.6%
0.18 21
 
0.6%
0.14 18
 
0.5%
Other values (50) 236
 
6.3%
2024-04-16T23:15:20.425044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3264
28.5%
3264
28.5%
3264
28.5%
0 499
 
4.4%
. 412
 
3.6%
1 201
 
1.8%
2 172
 
1.5%
6 62
 
0.5%
3 60
 
0.5%
4 57
 
0.5%
Other values (5) 215
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9792
85.4%
Decimal Number 1215
 
10.6%
Other Punctuation 412
 
3.6%
Dash Punctuation 51
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 499
41.1%
1 201
16.5%
2 172
 
14.2%
6 62
 
5.1%
3 60
 
4.9%
4 57
 
4.7%
8 56
 
4.6%
9 43
 
3.5%
5 39
 
3.2%
7 26
 
2.1%
Other Letter
ValueCountFrequency (%)
3264
33.3%
3264
33.3%
3264
33.3%
Other Punctuation
ValueCountFrequency (%)
. 412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9792
85.4%
Common 1678
 
14.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 499
29.7%
. 412
24.6%
1 201
12.0%
2 172
 
10.3%
6 62
 
3.7%
3 60
 
3.6%
4 57
 
3.4%
8 56
 
3.3%
- 51
 
3.0%
9 43
 
2.6%
Other values (2) 65
 
3.9%
Hangul
ValueCountFrequency (%)
3264
33.3%
3264
33.3%
3264
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9792
85.4%
ASCII 1678
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3264
33.3%
3264
33.3%
3264
33.3%
ASCII
ValueCountFrequency (%)
0 499
29.7%
. 412
24.6%
1 201
12.0%
2 172
 
10.3%
6 62
 
3.7%
3 60
 
3.6%
4 57
 
3.4%
8 56
 
3.3%
- 51
 
3.0%
9 43
 
2.6%
Other values (2) 65
 
3.9%

water43
Text

MISSING 

Distinct135
Distinct (%)3.6%
Missing124
Missing (%)3.2%
Memory size30.2 KiB
2024-04-16T23:15:20.754314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1507915
Min length1

Characters and Unicode

Total characters11743
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)2.2%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row0.064
ValueCountFrequency (%)
불검출 3328
89.3%
51
 
1.4%
0.006 22
 
0.6%
0.007 20
 
0.5%
0.005 16
 
0.4%
0.008 15
 
0.4%
0.009 14
 
0.4%
0.01 13
 
0.3%
0.001 11
 
0.3%
0.014 10
 
0.3%
Other values (125) 227
 
6.1%
2024-04-16T23:15:21.249580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3328
28.3%
3328
28.3%
3328
28.3%
0 737
 
6.3%
. 348
 
3.0%
1 166
 
1.4%
2 84
 
0.7%
6 66
 
0.6%
7 62
 
0.5%
9 55
 
0.5%
Other values (5) 241
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9984
85.0%
Decimal Number 1360
 
11.6%
Other Punctuation 348
 
3.0%
Dash Punctuation 51
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 737
54.2%
1 166
 
12.2%
2 84
 
6.2%
6 66
 
4.9%
7 62
 
4.6%
9 55
 
4.0%
5 50
 
3.7%
4 49
 
3.6%
8 48
 
3.5%
3 43
 
3.2%
Other Letter
ValueCountFrequency (%)
3328
33.3%
3328
33.3%
3328
33.3%
Other Punctuation
ValueCountFrequency (%)
. 348
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9984
85.0%
Common 1759
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 737
41.9%
. 348
19.8%
1 166
 
9.4%
2 84
 
4.8%
6 66
 
3.8%
7 62
 
3.5%
9 55
 
3.1%
- 51
 
2.9%
5 50
 
2.8%
4 49
 
2.8%
Other values (2) 91
 
5.2%
Hangul
ValueCountFrequency (%)
3328
33.3%
3328
33.3%
3328
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9984
85.0%
ASCII 1759
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3328
33.3%
3328
33.3%
3328
33.3%
ASCII
ValueCountFrequency (%)
0 737
41.9%
. 348
19.8%
1 166
 
9.4%
2 84
 
4.8%
6 66
 
3.8%
7 62
 
3.5%
9 55
 
3.1%
- 51
 
2.9%
5 50
 
2.8%
4 49
 
2.8%
Other values (2) 91
 
5.2%

water44
Text

MISSING 

Distinct297
Distinct (%)8.2%
Missing216
Missing (%)5.6%
Memory size30.2 KiB
2024-04-16T23:15:21.562692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.8420908
Min length1

Characters and Unicode

Total characters13966
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)4.7%

Sample

1st row0.05
2nd row0.06
3rd row0.64
4th row0.18
5th row0.08
ValueCountFrequency (%)
0.07 276
 
7.6%
0.06 258
 
7.1%
0.08 254
 
7.0%
0.09 231
 
6.4%
0.05 199
 
5.5%
0.11 188
 
5.2%
0.1 173
 
4.8%
0.12 148
 
4.1%
적합 145
 
4.0%
0.13 107
 
2.9%
Other values (287) 1656
45.6%
2024-04-16T23:15:22.025719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4564
32.7%
. 3483
24.9%
1 1511
 
10.8%
2 744
 
5.3%
6 536
 
3.8%
5 509
 
3.6%
7 490
 
3.5%
8 490
 
3.5%
3 483
 
3.5%
9 461
 
3.3%
Other values (3) 695
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10193
73.0%
Other Punctuation 3483
 
24.9%
Other Letter 290
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4564
44.8%
1 1511
 
14.8%
2 744
 
7.3%
6 536
 
5.3%
5 509
 
5.0%
7 490
 
4.8%
8 490
 
4.8%
3 483
 
4.7%
9 461
 
4.5%
4 405
 
4.0%
Other Letter
ValueCountFrequency (%)
145
50.0%
145
50.0%
Other Punctuation
ValueCountFrequency (%)
. 3483
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13676
97.9%
Hangul 290
 
2.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4564
33.4%
. 3483
25.5%
1 1511
 
11.0%
2 744
 
5.4%
6 536
 
3.9%
5 509
 
3.7%
7 490
 
3.6%
8 490
 
3.6%
3 483
 
3.5%
9 461
 
3.4%
Hangul
ValueCountFrequency (%)
145
50.0%
145
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13676
97.9%
Hangul 290
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4564
33.4%
. 3483
25.5%
1 1511
 
11.0%
2 744
 
5.4%
6 536
 
3.9%
5 509
 
3.7%
7 490
 
3.6%
8 490
 
3.6%
3 483
 
3.5%
9 461
 
3.4%
Hangul
ValueCountFrequency (%)
145
50.0%
145
50.0%

water45
Text

MISSING 

Distinct197
Distinct (%)5.3%
Missing127
Missing (%)3.3%
Memory size30.2 KiB
2024-04-16T23:15:22.348230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length1.9223953
Min length1

Characters and Unicode

Total characters7159
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)2.0%

Sample

1st row7
2nd row-
3rd row-
4th row31
5th row88
ValueCountFrequency (%)
11 104
 
2.8%
불검출 94
 
2.5%
7 92
 
2.5%
6 89
 
2.4%
9 86
 
2.3%
10 84
 
2.3%
30 83
 
2.2%
15 81
 
2.2%
17 80
 
2.1%
29 79
 
2.1%
Other values (187) 2852
76.6%
2024-04-16T23:15:22.795487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1221
17.1%
2 963
13.5%
3 920
12.9%
4 758
10.6%
5 593
8.3%
6 551
7.7%
7 431
 
6.0%
8 411
 
5.7%
9 388
 
5.4%
0 371
 
5.2%
Other values (7) 552
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6607
92.3%
Other Letter 432
 
6.0%
Other Punctuation 69
 
1.0%
Dash Punctuation 51
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1221
18.5%
2 963
14.6%
3 920
13.9%
4 758
11.5%
5 593
9.0%
6 551
8.3%
7 431
 
6.5%
8 411
 
6.2%
9 388
 
5.9%
0 371
 
5.6%
Other Letter
ValueCountFrequency (%)
94
21.8%
94
21.8%
94
21.8%
75
17.4%
75
17.4%
Other Punctuation
ValueCountFrequency (%)
. 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6727
94.0%
Hangul 432
 
6.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1221
18.2%
2 963
14.3%
3 920
13.7%
4 758
11.3%
5 593
8.8%
6 551
8.2%
7 431
 
6.4%
8 411
 
6.1%
9 388
 
5.8%
0 371
 
5.5%
Other values (2) 120
 
1.8%
Hangul
ValueCountFrequency (%)
94
21.8%
94
21.8%
94
21.8%
75
17.4%
75
17.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6727
94.0%
Hangul 432
 
6.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1221
18.2%
2 963
14.3%
3 920
13.7%
4 758
11.3%
5 593
8.8%
6 551
8.2%
7 431
 
6.4%
8 411
 
6.1%
9 388
 
5.8%
0 371
 
5.5%
Other values (2) 120
 
1.8%
Hangul
ValueCountFrequency (%)
94
21.8%
94
21.8%
94
21.8%
75
17.4%
75
17.4%

water46
Categorical

IMBALANCE 

Distinct29
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
3573 
<NA>
 
124
-
 
51
0.02
 
30
0.03
 
17
Other values (24)
 
56

Length

Max length5
Median length3
Mean length3.0337575
Min length1

Unique

Unique15 ?
Unique (%)0.4%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 3573
92.8%
<NA> 124
 
3.2%
- 51
 
1.3%
0.02 30
 
0.8%
0.03 17
 
0.4%
0.06 10
 
0.3%
0.05 9
 
0.2%
0.04 8
 
0.2%
0.08 4
 
0.1%
0.18 2
 
0.1%
Other values (19) 23
 
0.6%

Length

2024-04-16T23:15:22.985455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 3573
92.8%
na 124
 
3.2%
51
 
1.3%
0.02 30
 
0.8%
0.03 17
 
0.4%
0.06 10
 
0.3%
0.05 9
 
0.2%
0.04 8
 
0.2%
0.08 4
 
0.1%
0.07 2
 
0.1%
Other values (19) 23
 
0.6%

water47
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
불검출
1983 
1224 
0.002
 
159
0.001
 
144
<NA>
 
128
Other values (18)
213 

Length

Max length6
Median length3
Mean length2.6141262
Min length1

Unique

Unique6 ?
Unique (%)0.2%

Sample

1st row불검출
2nd row-
3rd row-
4th row불검출
5th row불검출

Common Values

ValueCountFrequency (%)
불검출 1983
51.5%
1224
31.8%
0.002 159
 
4.1%
0.001 144
 
3.7%
<NA> 128
 
3.3%
0.003 58
 
1.5%
- 51
 
1.3%
0.004 36
 
0.9%
0.006 20
 
0.5%
0.005 17
 
0.4%
Other values (13) 31
 
0.8%

Length

2024-04-16T23:15:23.171597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 1983
75.5%
0.002 159
 
6.1%
0.001 144
 
5.5%
na 128
 
4.9%
0.003 58
 
2.2%
51
 
1.9%
0.004 36
 
1.4%
0.006 20
 
0.8%
0.005 17
 
0.6%
0.007 8
 
0.3%
Other values (12) 23
 
0.9%

last_load_dttm
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
Minimum2022-09-01 06:11:03
Maximum2022-09-01 06:11:03
2024-04-16T23:15:23.280465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T23:15:23.394339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

skeyinspec_yyinspec_qtinspec_areainspec_pointwater01water02water03water05water06water07water08water09water10water11water12water13water14water15water16water17water18water19water20water21water22water23water24water25water26water27water28water29water30water31water32water33water34water35water36water37water38water39water40water41water42water43water44water45water46water47last_load_dttm
0422234320152동래구일양아파트불검출4.40.30불검출불검출불검출0.51불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출75없음없음불검출1불검출6.7<NA>22.5불검출불검출0.057불검출불검출2022-09-01 06:11:03
1422234420152동래구충렬아파트-0.7<NA><NA>불검출-불검출-불검출-불검출불검출불검출불검출-불검출----불검출불검출불검출-불검출불검출불검출불검출---<NA>---<NA>-7.5<NA>32.6--<NA>---2022-09-01 06:11:03
2422234520152동래구충렬중학교-0.8<NA><NA>350-불검출-불검출-불검출불검출불검출불검출-불검출----불검출불검출불검출-불검출불검출불검출불검출---<NA>---<NA>-6.7<NA>90.5--<NA>---2022-09-01 06:11:03
3422234620152동래구한신아파트불검출5.20.61불검출불검출불검출0.23불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출124없음없음불검출1불검출7.10.02617.9불검출불검출0.0631불검출불검출2022-09-01 06:11:03
4422234720152동래구현대아파트불검출1.60.3390검출불검출불검출0.31불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출198없음없음불검출1불검출7.10.00532.1불검출0.0640.6488불검출불검출2022-09-01 06:11:03
5422234820152동래구화목아파트불검출0.70.363불검출불검출불검출0.71불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출87없음없음불검출1불검출7.9<NA>12.5불검출불검출0.1826불검출불검출2022-09-01 06:11:03
6422234920152동래구화신아파트불검출6.30.62불검출불검출불검출0.21불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출183없음없음불검출1불검출7.2<NA>32.4불검출불검출0.0837불검출불검출2022-09-01 06:11:03
7422235020152동래구화인아파트불검출5.90.90불검출불검출불검출0.32불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출214없음없음불검출1불검출7.1<NA>39.2불검출불검출0.0544불검출불검출2022-09-01 06:11:03
8422235120152동래구화전아파트-0.8<NA><NA>5-불검출-불검출-불검출불검출불검출불검출-불검출----불검출불검출불검출-불검출불검출불검출불검출---<NA>---<NA>-7.8<NA>125.6--<NA>---2022-09-01 06:11:03
9422235220152동래구성일레포츠1-2.5<NA><NA>불검출-불검출-불검출-불검출불검출불검출불검출-불검출----불검출불검출불검출-불검출불검출불검출불검출---<NA>---<NA>-7.3<NA>47.1--<NA>---2022-09-01 06:11:03
skeyinspec_yyinspec_qtinspec_areainspec_pointwater01water02water03water05water06water07water08water09water10water11water12water13water14water15water16water17water18water19water20water21water22water23water24water25water26water27water28water29water30water31water32water33water34water35water36water37water38water39water40water41water42water43water44water45water46water47last_load_dttm
3841421854020162금정구서동현대APT불검출90.314불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출<NA>적합적합적합1불검출적합불검출적합불검출불검출적합적합불검출불검출2022-09-01 06:11:03
3842421854120162금정구우성APT 8동불검출7.60.3870검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출<NA>적합적합적합1불검출적합불검출적합불검출불검출적합적합불검출불검출2022-09-01 06:11:03
3843421854220162금정구일신APT 2동불검출30.32불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출<NA>적합적합적합1불검출적합불검출적합불검출불검출적합적합불검출불검출2022-09-01 06:11:03
3844421854320162금정구국제그린파크불검출8.30.30불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출<NA>적합적합적합1불검출적합불검출적합불검출불검출적합적합불검출불검출2022-09-01 06:11:03
3845421854420162금정구금성어린이집불검출0.90.30불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출<NA>적합적합적합1불검출적합불검출적합불검출불검출적합적합불검출불검출2022-09-01 06:11:03
3846421854520162금정구남산초등학교불검출1.30.30불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출<NA>적합적합적합1불검출적합불검출적합불검출불검출적합적합불검출불검출2022-09-01 06:11:03
3847421854620162금정구서곡초등학교불검출1.80.30불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출<NA>적합적합적합1불검출적합불검출적합불검출불검출적합적합불검출불검출2022-09-01 06:11:03
3848421854720162금정구서동상가시장불검출9.10.384불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출<NA>적합적합적합1불검출적합불검출적합불검출불검출적합적합불검출불검출2022-09-01 06:11:03
3849421854820162금정구시영APT115동불검출3.40.392불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출<NA>적합적합적합1불검출적합불검출적합불검출불검출적합적합불검출불검출2022-09-01 06:11:03
3850421854920162금정구시영APT120동불검출4.20.390검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출불검출<NA>적합적합적합1불검출적합불검출적합불검출불검출적합적합불검출불검출2022-09-01 06:11:03