Overview

Dataset statistics

Number of variables23
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.6 KiB
Average record size in memory200.3 B

Variable types

Numeric8
Categorical15

Dataset

DescriptionSample
Author엔에스원소프트㈜
URLhttps://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT10NS1007

Alerts

gtr_ym has constant value ""Constant
shp_knd_nm has constant value ""Constant
shp_qtmt_nm is highly imbalanced (79.7%)Imbalance
shp_engn_knd_nm is highly imbalanced (56.4%)Imbalance
co_exhst_qy is highly imbalanced (73.7%)Imbalance
ntgoxd_exhst_qy is highly imbalanced (73.7%)Imbalance
sulfur_oxd_exhst_qy is highly imbalanced (73.7%)Imbalance
fndst_exhst_ttl_qy is highly imbalanced (73.7%)Imbalance
onccp_exhst_qy is highly imbalanced (73.7%)Imbalance
nh3_exhst_qy is highly imbalanced (73.7%)Imbalance
data_sn has unique valuesUnique
gtr_ymdhms has unique valuesUnique

Reproduction

Analysis started2024-03-13 12:41:12.587098
Analysis finished2024-03-13 12:41:12.899433
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

data_sn
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3230818.7
Minimum3226808
Maximum3244387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:41:13.022385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3226808
5-th percentile3227391
Q13227881
median3227957
Q33233822
95-th percentile3238336.8
Maximum3244387
Range17579
Interquartile range (IQR)5941

Descriptive statistics

Standard deviation4945.9455
Coefficient of variation (CV)0.0015308645
Kurtosis0.20078499
Mean3230818.7
Median Absolute Deviation (MAD)97.5
Skewness1.2878278
Sum3.2308187 × 108
Variance24462377
MonotonicityNot monotonic
2024-03-13T21:41:13.225496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3238120 1
 
1.0%
3244209 1
 
1.0%
3227938 1
 
1.0%
3227935 1
 
1.0%
3227933 1
 
1.0%
3227928 1
 
1.0%
3227927 1
 
1.0%
3227923 1
 
1.0%
3227922 1
 
1.0%
3227919 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
3226808 1
1.0%
3226842 1
1.0%
3226849 1
1.0%
3226867 1
1.0%
3226879 1
1.0%
3227418 1
1.0%
3227697 1
1.0%
3227720 1
1.0%
3227725 1
1.0%
3227736 1
1.0%
ValueCountFrequency (%)
3244387 1
1.0%
3244330 1
1.0%
3244209 1
1.0%
3242610 1
1.0%
3239377 1
1.0%
3238282 1
1.0%
3238241 1
1.0%
3238235 1
1.0%
3238229 1
1.0%
3238228 1
1.0%

gtr_ym
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
202305
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202305
2nd row202305
3rd row202305
4th row202305
5th row202305

Common Values

ValueCountFrequency (%)
202305 100
100.0%

Length

2024-03-13T21:41:13.416962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:13.526087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202305 100
100.0%

gtr_ymdhms
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0230501 × 1013
Minimum2.0230501 × 1013
Maximum2.0230501 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:41:13.762989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0230501 × 1013
5-th percentile2.0230501 × 1013
Q12.0230501 × 1013
median2.0230501 × 1013
Q32.0230501 × 1013
95-th percentile2.0230501 × 1013
Maximum2.0230501 × 1013
Range153885
Interquartile range (IQR)43699

Descriptive statistics

Standard deviation45579.373
Coefficient of variation (CV)2.2530027 × 10-9
Kurtosis-0.14818453
Mean2.0230501 × 1013
Median Absolute Deviation (MAD)666.5
Skewness1.2251174
Sum2.0230501 × 1015
Variance2.0774792 × 109
MonotonicityNot monotonic
2024-03-13T21:41:13.990932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230501111108 1
 
1.0%
20230501153438 1
 
1.0%
20230501013437 1
 
1.0%
20230501013422 1
 
1.0%
20230501013419 1
 
1.0%
20230501013351 1
 
1.0%
20230501013349 1
 
1.0%
20230501013337 1
 
1.0%
20230501013328 1
 
1.0%
20230501013319 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
20230501000125 1
1.0%
20230501000355 1
1.0%
20230501000425 1
1.0%
20230501000555 1
1.0%
20230501000655 1
1.0%
20230501005123 1
1.0%
20230501011621 1
1.0%
20230501011822 1
1.0%
20230501011851 1
1.0%
20230501011952 1
1.0%
ValueCountFrequency (%)
20230501154010 1
1.0%
20230501153808 1
1.0%
20230501153438 1
1.0%
20230501143822 1
1.0%
20230501121319 1
1.0%
20230501112134 1
1.0%
20230501111903 1
1.0%
20230501111834 1
1.0%
20230501111801 1
1.0%
20230501111740 1
1.0%

nssid
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
31******
39 
34******
27 
33******
16 
36******
13 
32******
 
3

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row34******
2nd row34******
3rd row31******
4th row31******
5th row31******

Common Values

ValueCountFrequency (%)
31****** 39
39.0%
34****** 27
27.0%
33****** 16
16.0%
36****** 13
 
13.0%
32****** 3
 
3.0%
35****** 2
 
2.0%

Length

2024-03-13T21:41:14.221788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:14.366236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 39
39.0%
34 27
27.0%
33 16
16.0%
36 13
 
13.0%
32 3
 
3.0%
35 2
 
2.0%

shp_la
Real number (ℝ)

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.786435
Minimum34.7793
Maximum36.0218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:41:14.577080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.7793
5-th percentile34.78218
Q135.92495
median35.9309
Q335.9357
95-th percentile35.97635
Maximum36.0218
Range1.2425
Interquartile range (IQR)0.01075

Descriptive statistics

Standard deviation0.38952346
Coefficient of variation (CV)0.010884668
Kurtosis3.0346115
Mean35.786435
Median Absolute Deviation (MAD)0.0052
Skewness-2.2265878
Sum3578.6435
Variance0.15172853
MonotonicityNot monotonic
2024-03-13T21:41:14.837406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.9365 3
 
3.0%
35.9357 3
 
3.0%
35.9255 2
 
2.0%
35.9763 2
 
2.0%
35.9253 2
 
2.0%
35.9272 2
 
2.0%
35.9353 2
 
2.0%
35.935 2
 
2.0%
35.9295 2
 
2.0%
35.9223 2
 
2.0%
Other values (76) 78
78.0%
ValueCountFrequency (%)
34.7793 1
1.0%
34.78 1
1.0%
34.7805 1
1.0%
34.7813 1
1.0%
34.7818 1
1.0%
34.7822 1
1.0%
34.7827 1
1.0%
34.783 1
1.0%
34.7835 1
1.0%
34.7837 1
1.0%
ValueCountFrequency (%)
36.0218 1
1.0%
35.9823 1
1.0%
35.98 1
1.0%
35.978 1
1.0%
35.9773 1
1.0%
35.9763 2
2.0%
35.9757 1
1.0%
35.9547 1
1.0%
35.9463 1
1.0%
35.9453 1
1.0%

shp_lo
Real number (ℝ)

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.49464
Minimum126.3408
Maximum126.5373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:41:15.061777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.3408
5-th percentile126.34468
Q1126.4932
median126.52025
Q3126.5278
95-th percentile126.52981
Maximum126.5373
Range0.1965
Interquartile range (IQR)0.0346

Descriptive statistics

Standard deviation0.058176696
Coefficient of variation (CV)0.0004599143
Kurtosis2.206251
Mean126.49464
Median Absolute Deviation (MAD)0.00825
Skewness-1.9238386
Sum12649.464
Variance0.0033845279
MonotonicityNot monotonic
2024-03-13T21:41:15.317447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5278 4
 
4.0%
126.5277 3
 
3.0%
126.5275 3
 
3.0%
126.5285 2
 
2.0%
126.5258 2
 
2.0%
126.5283 2
 
2.0%
126.5203 2
 
2.0%
126.5268 2
 
2.0%
126.5282 2
 
2.0%
126.5292 2
 
2.0%
Other values (72) 76
76.0%
ValueCountFrequency (%)
126.3408 1
1.0%
126.3413 1
1.0%
126.3425 1
1.0%
126.3438 1
1.0%
126.3442 1
1.0%
126.3447 1
1.0%
126.3458 1
1.0%
126.3567 1
1.0%
126.3587 1
1.0%
126.3608 1
1.0%
ValueCountFrequency (%)
126.5373 1
1.0%
126.5307 1
1.0%
126.5305 1
1.0%
126.5304 1
1.0%
126.53 1
1.0%
126.5298 1
1.0%
126.5297 1
1.0%
126.5295 1
1.0%
126.5293 1
1.0%
126.5292 2
2.0%

shp_cog
Real number (ℝ)

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.28
Minimum6
Maximum342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:41:15.546346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile52
Q1193.5
median229
Q3242
95-th percentile290.5
Maximum342
Range336
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation73.631636
Coefficient of variation (CV)0.35868879
Kurtosis0.81813827
Mean205.28
Median Absolute Deviation (MAD)23
Skewness-1.1556705
Sum20528
Variance5421.6178
MonotonicityNot monotonic
2024-03-13T21:41:15.756580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
240 5
 
5.0%
234 5
 
5.0%
230 4
 
4.0%
232 4
 
4.0%
236 4
 
4.0%
56 3
 
3.0%
250 3
 
3.0%
218 3
 
3.0%
200 3
 
3.0%
252 3
 
3.0%
Other values (44) 63
63.0%
ValueCountFrequency (%)
6 1
 
1.0%
18 2
2.0%
36 1
 
1.0%
52 3
3.0%
56 3
3.0%
58 1
 
1.0%
62 1
 
1.0%
88 1
 
1.0%
96 1
 
1.0%
116 3
3.0%
ValueCountFrequency (%)
342 1
1.0%
332 1
1.0%
310 1
1.0%
308 1
1.0%
300 1
1.0%
290 1
1.0%
288 2
2.0%
286 1
1.0%
280 1
1.0%
278 1
1.0%

shp_sog
Real number (ℝ)

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.81
Minimum0.1
Maximum3.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:41:15.971545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.6
median0.8
Q30.9
95-th percentile1.4
Maximum3.2
Range3.1
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.49369765
Coefficient of variation (CV)0.60950328
Kurtosis7.6249378
Mean0.81
Median Absolute Deviation (MAD)0.1
Skewness2.0860554
Sum81
Variance0.24373737
MonotonicityNot monotonic
2024-03-13T21:41:16.157110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.9 30
30.0%
0.8 13
13.0%
0.7 10
 
10.0%
0.6 9
 
9.0%
0.1 7
 
7.0%
0.3 6
 
6.0%
0.2 3
 
3.0%
0.5 3
 
3.0%
1.3 3
 
3.0%
1.2 3
 
3.0%
Other values (8) 13
13.0%
ValueCountFrequency (%)
0.1 7
 
7.0%
0.2 3
 
3.0%
0.3 6
 
6.0%
0.4 3
 
3.0%
0.5 3
 
3.0%
0.6 9
 
9.0%
0.7 10
 
10.0%
0.8 13
13.0%
0.9 30
30.0%
1.0 2
 
2.0%
ValueCountFrequency (%)
3.2 1
 
1.0%
2.6 1
 
1.0%
2.5 1
 
1.0%
2.3 1
 
1.0%
1.4 3
 
3.0%
1.3 3
 
3.0%
1.2 3
 
3.0%
1.1 1
 
1.0%
1.0 2
 
2.0%
0.9 30
30.0%

shp_no
Categorical

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
11010*********
19 
18060*********
16 
01090*********
16 
16010*********
11 
09080*********
7 
Other values (16)
31 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique10 ?
Unique (%)10.0%

Sample

1st row09080*********
2nd row09080*********
3rd row15030*********
4th row15030*********
5th row15030*********

Common Values

ValueCountFrequency (%)
11010********* 19
19.0%
18060********* 16
16.0%
01090********* 16
16.0%
16010********* 11
11.0%
09080********* 7
 
7.0%
15090********* 6
 
6.0%
15030********* 5
 
5.0%
18040********* 3
 
3.0%
20120********* 3
 
3.0%
94090********* 2
 
2.0%
Other values (11) 12
12.0%

Length

2024-03-13T21:41:16.360484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11010 19
19.0%
18060 16
16.0%
01090 16
16.0%
16010 11
11.0%
09080 7
 
7.0%
15090 6
 
6.0%
15030 5
 
5.0%
18040 3
 
3.0%
20120 3
 
3.0%
01020 2
 
2.0%
Other values (11) 12
12.0%

shp_nm
Categorical

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
아*호
25 
창*호
16 
남*호
11 
1***호
8 
제***호
8 
Other values (15)
32 

Length

Max length8
Median length3
Mean length3.76
Min length3

Unique

Unique9 ?
Unique (%)9.0%

Sample

1st row원**호
2nd row원**호
3rd row1**호
4th row1**호
5th row1**호

Common Values

ValueCountFrequency (%)
아*호 25
25.0%
창*호 16
16.0%
남*호 11
11.0%
1***호 8
 
8.0%
제***호 8
 
8.0%
원**호 7
 
7.0%
1**호 6
 
6.0%
제******호 3
 
3.0%
청*호 3
 
3.0%
카**호 2
 
2.0%
Other values (10) 11
11.0%

Length

2024-03-13T21:41:16.537750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아*호 25
25.0%
창*호 16
16.0%
남*호 11
11.0%
1***호 8
 
8.0%
제***호 8
 
8.0%
원**호 7
 
7.0%
1**호 6
 
6.0%
제******호 3
 
3.0%
청*호 3
 
3.0%
선*호 2
 
2.0%
Other values (10) 11
11.0%

shp_knd_nm
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기선 100
100.0%

Length

2024-03-13T21:41:16.716335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:16.876968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기선 100
100.0%

shp_qtmt_nm
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
FRP
95 
강
 
4
알루미늄합금
 
1

Length

Max length6
Median length3
Mean length2.95
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
FRP 95
95.0%
강 4
 
4.0%
알루미늄합금 1
 
1.0%

Length

2024-03-13T21:41:17.064939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:17.211461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
frp 95
95.0%
강 4
 
4.0%
알루미늄합금 1
 
1.0%

rgshb_nm
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
전북 군산시 옥도면
65 
전북 군산시
16 
전남 목포시
13 
충남 서천군 장항읍
 
5
전북 부안군 위도면
 
1

Length

Max length10
Median length10
Mean length8.84
Min length6

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row전북 군산시 옥도면
2nd row전북 군산시 옥도면
3rd row충남 서천군 장항읍
4th row충남 서천군 장항읍
5th row충남 서천군 장항읍

Common Values

ValueCountFrequency (%)
전북 군산시 옥도면 65
65.0%
전북 군산시 16
 
16.0%
전남 목포시 13
 
13.0%
충남 서천군 장항읍 5
 
5.0%
전북 부안군 위도면 1
 
1.0%

Length

2024-03-13T21:41:17.389814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:17.556439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북 82
30.3%
군산시 81
29.9%
옥도면 65
24.0%
전남 13
 
4.8%
목포시 13
 
4.8%
충남 5
 
1.8%
서천군 5
 
1.8%
장항읍 5
 
1.8%
부안군 1
 
0.4%
위도면 1
 
0.4%

shp_gtnn
Real number (ℝ)

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.1095
Minimum1.84
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:41:17.702737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.84
5-th percentile2.8
Q17.93
median9.77
Q310.3275
95-th percentile69
Maximum89
Range87.16
Interquartile range (IQR)2.3975

Descriptive statistics

Standard deviation20.309695
Coefficient of variation (CV)1.2607278
Kurtosis6.5290135
Mean16.1095
Median Absolute Deviation (MAD)1.84
Skewness2.7635078
Sum1610.95
Variance412.48369
MonotonicityNot monotonic
2024-03-13T21:41:17.860031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
9.77 43
43.0%
7.93 20
20.0%
24.0 8
 
8.0%
12.0 8
 
8.0%
69.0 5
 
5.0%
2.8 5
 
5.0%
89.0 4
 
4.0%
4.37 2
 
2.0%
1.84 1
 
1.0%
5.6 1
 
1.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
1.84 1
 
1.0%
2.8 5
 
5.0%
2.99 1
 
1.0%
3.53 1
 
1.0%
4.37 2
 
2.0%
5.6 1
 
1.0%
6.54 1
 
1.0%
7.93 20
20.0%
9.77 43
43.0%
12.0 8
 
8.0%
ValueCountFrequency (%)
89.0 4
 
4.0%
69.0 5
 
5.0%
24.0 8
 
8.0%
12.0 8
 
8.0%
9.77 43
43.0%
7.93 20
20.0%
6.54 1
 
1.0%
5.6 1
 
1.0%
4.37 2
 
2.0%
3.53 1
 
1.0%

shp_lt
Real number (ℝ)

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5959
Minimum6.95
Maximum33.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:41:18.058629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.95
5-th percentile9.54
Q113.29
median15.8
Q317.3
95-th percentile29.323
Maximum33.56
Range26.61
Interquartile range (IQR)4.01

Descriptive statistics

Standard deviation5.6551361
Coefficient of variation (CV)0.34075501
Kurtosis2.5721854
Mean16.5959
Median Absolute Deviation (MAD)1.65
Skewness1.5519894
Sum1659.59
Variance31.980564
MonotonicityNot monotonic
2024-03-13T21:41:18.244083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
15.8 19
19.0%
13.29 16
16.0%
16.4 11
11.0%
22.55 8
8.0%
17.45 8
8.0%
14.65 7
 
7.0%
9.54 5
 
5.0%
33.56 5
 
5.0%
13.59 3
 
3.0%
15.45 2
 
2.0%
Other values (14) 16
16.0%
ValueCountFrequency (%)
6.95 1
 
1.0%
8.52 1
 
1.0%
9.21 2
 
2.0%
9.54 5
 
5.0%
10.01 1
 
1.0%
10.04 1
 
1.0%
11.9 1
 
1.0%
13.29 16
16.0%
13.3 1
 
1.0%
13.59 3
 
3.0%
ValueCountFrequency (%)
33.56 5
 
5.0%
29.1 1
 
1.0%
28.61 2
 
2.0%
27.01 1
 
1.0%
22.55 8
8.0%
17.45 8
8.0%
17.25 1
 
1.0%
16.75 1
 
1.0%
16.4 11
11.0%
15.8 19
19.0%

shp_prpos_nm
Categorical

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
근해형망어업
54 
근해안강망어업
17 
연안복합어업
9 
어장관리선
8 
연안자망어업
6 
Other values (2)
6 

Length

Max length7
Median length6
Mean length6.1
Min length5

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row어장관리선
2nd row어장관리선
3rd row근해안강망어업
4th row근해안강망어업
5th row근해안강망어업

Common Values

ValueCountFrequency (%)
근해형망어업 54
54.0%
근해안강망어업 17
 
17.0%
연안복합어업 9
 
9.0%
어장관리선 8
 
8.0%
연안자망어업 6
 
6.0%
연안통발어업 5
 
5.0%
연안안강망어업 1
 
1.0%

Length

2024-03-13T21:41:18.455983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:18.641098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근해형망어업 54
54.0%
근해안강망어업 17
 
17.0%
연안복합어업 9
 
9.0%
어장관리선 8
 
8.0%
연안자망어업 6
 
6.0%
연안통발어업 5
 
5.0%
연안안강망어업 1
 
1.0%

shp_engn_knd_nm
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
선박용디젤
91 
가솔린선외기
 
9

Length

Max length6
Median length5
Mean length5.09
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
선박용디젤 91
91.0%
가솔린선외기 9
 
9.0%

Length

2024-03-13T21:41:18.809021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:18.933760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
선박용디젤 91
91.0%
가솔린선외기 9
 
9.0%

co_exhst_qy
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.694
91 
8.953
 
7
7.575
 
1
16.069
 
1

Length

Max length6
Median length5
Mean length5.01
Min length5

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0.694
2nd row0.694
3rd row0.694
4th row0.694
5th row0.694

Common Values

ValueCountFrequency (%)
0.694 91
91.0%
8.953 7
 
7.0%
7.575 1
 
1.0%
16.069 1
 
1.0%

Length

2024-03-13T21:41:19.068034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:19.233728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.694 91
91.0%
8.953 7
 
7.0%
7.575 1
 
1.0%
16.069 1
 
1.0%

ntgoxd_exhst_qy
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
7.359
91 
0.147
 
7
0.124
 
1
0.263
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row7.359
2nd row7.359
3rd row7.359
4th row7.359
5th row7.359

Common Values

ValueCountFrequency (%)
7.359 91
91.0%
0.147 7
 
7.0%
0.124 1
 
1.0%
0.263 1
 
1.0%

Length

2024-03-13T21:41:19.412562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:19.562354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7.359 91
91.0%
0.147 7
 
7.0%
0.124 1
 
1.0%
0.263 1
 
1.0%

sulfur_oxd_exhst_qy
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1.875
91 
0.312
 
7
0.264
 
1
0.56
 
1

Length

Max length5
Median length5
Mean length4.99
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row1.875
2nd row1.875
3rd row1.875
4th row1.875
5th row1.875

Common Values

ValueCountFrequency (%)
1.875 91
91.0%
0.312 7
 
7.0%
0.264 1
 
1.0%
0.56 1
 
1.0%

Length

2024-03-13T21:41:19.690924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:19.828075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.875 91
91.0%
0.312 7
 
7.0%
0.264 1
 
1.0%
0.56 1
 
1.0%

fndst_exhst_ttl_qy
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.141
91 
0.148
 
7
0.125
 
1
0.266
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0.141
2nd row0.141
3rd row0.141
4th row0.141
5th row0.141

Common Values

ValueCountFrequency (%)
0.141 91
91.0%
0.148 7
 
7.0%
0.125 1
 
1.0%
0.266 1
 
1.0%

Length

2024-03-13T21:41:19.982815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:20.568219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.141 91
91.0%
0.148 7
 
7.0%
0.125 1
 
1.0%
0.266 1
 
1.0%

onccp_exhst_qy
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.262
91 
2.831
 
7
2.396
 
1
5.082
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0.262
2nd row0.262
3rd row0.262
4th row0.262
5th row0.262

Common Values

ValueCountFrequency (%)
0.262 91
91.0%
2.831 7
 
7.0%
2.396 1
 
1.0%
5.082 1
 
1.0%

Length

2024-03-13T21:41:20.730752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:20.878034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.262 91
91.0%
2.831 7
 
7.0%
2.396 1
 
1.0%
5.082 1
 
1.0%

nh3_exhst_qy
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.001
91 
0.047
 
7
0.04
 
1
0.084
 
1

Length

Max length5
Median length5
Mean length4.99
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0.001
2nd row0.001
3rd row0.001
4th row0.001
5th row0.001

Common Values

ValueCountFrequency (%)
0.001 91
91.0%
0.047 7
 
7.0%
0.04 1
 
1.0%
0.084 1
 
1.0%

Length

2024-03-13T21:41:21.016408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:21.133831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.001 91
91.0%
0.047 7
 
7.0%
0.04 1
 
1.0%
0.084 1
 
1.0%

Sample

data_sngtr_ymgtr_ymdhmsnssidshp_lashp_loshp_cogshp_sogshp_noshp_nmshp_knd_nmshp_qtmt_nmrgshb_nmshp_gtnnshp_ltshp_prpos_nmshp_engn_knd_nmco_exhst_qyntgoxd_exhst_qysulfur_oxd_exhst_qyfndst_exhst_ttl_qyonccp_exhst_qynh3_exhst_qy
032381202023052023050111110834******35.924126.516561.409080*********원**호기선FRP전북 군산시 옥도면9.7714.65어장관리선선박용디젤0.6947.3591.8750.1410.2620.001
132381212023052023050111111434******35.9242126.5165561.409080*********원**호기선FRP전북 군산시 옥도면9.7714.65어장관리선선박용디젤0.6947.3591.8750.1410.2620.001
232268082023052023050100012531******35.9757126.49022660.915030*********1**호기선FRP충남 서천군 장항읍69.033.56근해안강망어업선박용디젤0.6947.3591.8750.1410.2620.001
332268422023052023050100035531******35.9763126.48222720.915030*********1**호기선FRP충남 서천군 장항읍69.033.56근해안강망어업선박용디젤0.6947.3591.8750.1410.2620.001
432268492023052023050100042531******35.9763126.48072600.915030*********1**호기선FRP충남 서천군 장항읍69.033.56근해안강망어업선박용디젤0.6947.3591.8750.1410.2620.001
532268672023052023050100055531******35.9773126.4762780.915030*********1**호기선FRP충남 서천군 장항읍69.033.56근해안강망어업선박용디젤0.6947.3591.8750.1410.2620.001
632268792023052023050100065531******35.978126.4732800.915030*********1**호기선FRP충남 서천군 장항읍69.033.56근해안강망어업선박용디젤0.6947.3591.8750.1410.2620.001
732274182023052023050100512331******34.809126.36081922.318090*********한*호기선FRP전남 목포시1.846.95연안복합어업가솔린선외기7.5750.1240.2640.1252.3960.04
832276972023052023050101162131******34.78126.36682900.918060*********1***호기선FRP전남 목포시24.022.55근해안강망어업선박용디젤0.6947.3591.8750.1410.2620.001
932277202023052023050101182231******34.7813126.36253000.918060*********1***호기선FRP전남 목포시24.022.55근해안강망어업선박용디젤0.6947.3591.8750.1410.2620.001
data_sngtr_ymgtr_ymdhmsnssidshp_lashp_loshp_cogshp_sogshp_noshp_nmshp_knd_nmshp_qtmt_nmrgshb_nmshp_gtnnshp_ltshp_prpos_nmshp_engn_knd_nmco_exhst_qyntgoxd_exhst_qysulfur_oxd_exhst_qyfndst_exhst_ttl_qyonccp_exhst_qynh3_exhst_qy
9032279782023052023050101372334******35.9267126.52052280.811010*********아*호기선FRP전북 군산시 옥도면9.7715.8근해형망어업선박용디젤0.6947.3591.8750.1410.2620.001
9132279802023052023050101373736******35.9291126.51892520.716010*********남*호기선FRP전북 군산시9.7716.4근해형망어업선박용디젤0.6947.3591.8750.1410.2620.001
9232279832023052023050101374933******35.9295126.52382340.701090*********창*호기선FRP전북 군산시 옥도면7.9313.29근해형망어업선박용디젤0.6947.3591.8750.1410.2620.001
9332279872023052023050101375334******35.9229126.5112400.911010*********아*호기선FRP전북 군산시 옥도면9.7715.8근해형망어업선박용디젤0.6947.3591.8750.1410.2620.001
9432279892023052023050101375831******35.9197126.5052340.918060*********제***호기선FRP전북 군산시 옥도면12.017.45근해형망어업선박용디젤0.6947.3591.8750.1410.2620.001
9532279922023052023050101381933******35.929126.52272380.801090*********창*호기선FRP전북 군산시 옥도면7.9313.29근해형망어업선박용디젤0.6947.3591.8750.1410.2620.001
9632279932023052023050101382134******35.9223126.50952440.911010*********아*호기선FRP전북 군산시 옥도면9.7715.8근해형망어업선박용디젤0.6947.3591.8750.1410.2620.001
9732279942023052023050101382334******35.9253126.51822420.911010*********아*호기선FRP전북 군산시 옥도면9.7715.8근해형망어업선박용디젤0.6947.3591.8750.1410.2620.001
9832279962023052023050101382931******35.9188126.50372320.918060*********제***호기선FRP전북 군산시 옥도면12.017.45근해형망어업선박용디젤0.6947.3591.8750.1410.2620.001
9932279982023052023050101383736******35.9284126.51632500.816010*********남*호기선FRP전북 군산시9.7716.4근해형망어업선박용디젤0.6947.3591.8750.1410.2620.001