Overview

Dataset statistics

Number of variables15
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory131.6 B

Variable types

Numeric5
Categorical10

Dataset

DescriptionSample
Author엔에스원소프트㈜
URLhttps://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT10NS1014

Alerts

gtr_ym has constant value ""Constant
shp_cog has constant value ""Constant
shp_no has constant value ""Constant
shp_nm has constant value ""Constant
shp_knd_nm has constant value ""Constant
shp_qtmt_nm has constant value ""Constant
rgshb_nm has constant value ""Constant
shp_gtnn has constant value ""Constant
shp_lt has constant value ""Constant
shp_prpos_nm has constant value ""Constant
data_sn is highly overall correlated with gtr_ymdhms and 1 other fieldsHigh correlation
gtr_ymdhms is highly overall correlated with data_sn and 1 other fieldsHigh correlation
shp_lo is highly overall correlated with data_sn and 1 other fieldsHigh correlation
data_sn has unique valuesUnique
gtr_ymdhms has unique valuesUnique
shp_sog has 3 (6.0%) zerosZeros

Reproduction

Analysis started2024-03-13 12:41:45.929975
Analysis finished2024-03-13 12:41:50.616249
Duration4.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

data_sn
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T21:41:50.717330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2024-03-13T21:41:50.926136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

gtr_ym
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
202312
50 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202312
2nd row202312
3rd row202312
4th row202312
5th row202312

Common Values

ValueCountFrequency (%)
202312 50
100.0%

Length

2024-03-13T21:41:51.090488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:51.242340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202312 50
100.0%

gtr_ymdhms
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0231204 × 1013
Minimum2.0231204 × 1013
Maximum2.0231204 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T21:41:51.384520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0231204 × 1013
5-th percentile2.0231204 × 1013
Q12.0231204 × 1013
median2.0231204 × 1013
Q32.0231204 × 1013
95-th percentile2.0231204 × 1013
Maximum2.0231204 × 1013
Range1180
Interquartile range (IQR)1059.75

Descriptive statistics

Standard deviation514.73813
Coefficient of variation (CV)2.5442783 × 10-11
Kurtosis-1.4789375
Mean2.0231204 × 1013
Median Absolute Deviation (MAD)18
Skewness0.72983173
Sum1.0115602 × 1015
Variance264955.35
MonotonicityStrictly increasing
2024-03-13T21:41:51.661503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20231204112256 1
 
2.0%
20231204113425 1
 
2.0%
20231204112325 1
 
2.0%
20231204112326 1
 
2.0%
20231204112327 1
 
2.0%
20231204112328 1
 
2.0%
20231204112329 1
 
2.0%
20231204113200 1
 
2.0%
20231204113201 1
 
2.0%
20231204113203 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
20231204112256 1
2.0%
20231204112257 1
2.0%
20231204112258 1
2.0%
20231204112259 1
2.0%
20231204112300 1
2.0%
20231204112301 1
2.0%
20231204112302 1
2.0%
20231204112303 1
2.0%
20231204112304 1
2.0%
20231204112305 1
2.0%
ValueCountFrequency (%)
20231204113436 1
2.0%
20231204113435 1
2.0%
20231204113434 1
2.0%
20231204113433 1
2.0%
20231204113432 1
2.0%
20231204113431 1
2.0%
20231204113430 1
2.0%
20231204113429 1
2.0%
20231204113428 1
2.0%
20231204113427 1
2.0%

shp_la
Real number (ℝ)

Distinct34
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.706504
Minimum34.706491
Maximum34.706517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T21:41:51.919940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.706491
5-th percentile34.706491
Q134.706495
median34.706506
Q334.70651
95-th percentile34.706515
Maximum34.706517
Range2.6 × 10-5
Interquartile range (IQR)1.4833275 × 10-5

Descriptive statistics

Standard deviation8.3812525 × 10-6
Coefficient of variation (CV)2.4148939 × 10-7
Kurtosis-0.93847743
Mean34.706504
Median Absolute Deviation (MAD)4.16665 × 10-6
Skewness-0.59063781
Sum1735.3252
Variance7.0245393 × 10-11
MonotonicityNot monotonic
2024-03-13T21:41:52.129236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
34.706506 5
 
10.0%
34.7064908333 3
 
6.0%
34.7064915 3
 
6.0%
34.7065058333 3
 
6.0%
34.7065061667 3
 
6.0%
34.706491 2
 
4.0%
34.7064916667 2
 
4.0%
34.7065043333 2
 
4.0%
34.7065041667 2
 
4.0%
34.7064906667 1
 
2.0%
Other values (24) 24
48.0%
ValueCountFrequency (%)
34.7064906667 1
 
2.0%
34.7064908333 3
6.0%
34.706491 2
4.0%
34.7064911667 1
 
2.0%
34.7064913333 1
 
2.0%
34.7064915 3
6.0%
34.7064916667 2
4.0%
34.7065041667 2
4.0%
34.7065043333 2
4.0%
34.7065056667 1
 
2.0%
ValueCountFrequency (%)
34.7065166667 1
2.0%
34.706516 1
2.0%
34.7065153333 1
2.0%
34.7065145 1
2.0%
34.706514 1
2.0%
34.7065136667 1
2.0%
34.7065133333 1
2.0%
34.706513 1
2.0%
34.7065125 1
2.0%
34.7065116667 1
2.0%

shp_lo
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.04636
Minimum128.04635
Maximum128.04638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T21:41:52.335913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.04635
5-th percentile128.04635
Q1128.04636
median128.04636
Q3128.04636
95-th percentile128.04638
Maximum128.04638
Range2.7 × 10-5
Interquartile range (IQR)4.208325 × 10-6

Descriptive statistics

Standard deviation6.8860088 × 10-6
Coefficient of variation (CV)5.3777466 × 10-8
Kurtosis6.3027043
Mean128.04636
Median Absolute Deviation (MAD)2 × 10-6
Skewness2.6431045
Sum6402.318
Variance4.7417117 × 10-11
MonotonicityNot monotonic
2024-03-13T21:41:52.526520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
128.0463558333 5
 
10.0%
128.0463543333 4
 
8.0%
128.046356 4
 
8.0%
128.0463573333 3
 
6.0%
128.0463808333 2
 
4.0%
128.0463611667 2
 
4.0%
128.0463575 2
 
4.0%
128.0463596667 2
 
4.0%
128.0463556667 2
 
4.0%
128.046355 2
 
4.0%
Other values (20) 22
44.0%
ValueCountFrequency (%)
128.0463541667 1
 
2.0%
128.0463543333 4
8.0%
128.0463545 2
 
4.0%
128.0463546667 1
 
2.0%
128.046355 2
 
4.0%
128.0463553333 1
 
2.0%
128.0463556667 2
 
4.0%
128.0463558333 5
10.0%
128.046356 4
8.0%
128.0463561667 1
 
2.0%
ValueCountFrequency (%)
128.0463811667 1
2.0%
128.046381 1
2.0%
128.0463808333 2
4.0%
128.0463613333 1
2.0%
128.0463611667 2
4.0%
128.046361 2
4.0%
128.0463608333 1
2.0%
128.0463606667 1
2.0%
128.0463603333 1
2.0%
128.04636 1
2.0%

shp_cog
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0
50 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
100.0%

Length

2024-03-13T21:41:52.668445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:52.785397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
100.0%

shp_sog
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0238
Minimum0
Maximum0.11
Zeros3
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T21:41:52.926913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0045
Q10.01
median0.02
Q30.03
95-th percentile0.05
Maximum0.11
Range0.11
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.017830265
Coefficient of variation (CV)0.74917082
Kurtosis10.386112
Mean0.0238
Median Absolute Deviation (MAD)0.01
Skewness2.5001631
Sum1.19
Variance0.00031791837
MonotonicityNot monotonic
2024-03-13T21:41:53.079990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.02 16
32.0%
0.03 12
24.0%
0.01 12
24.0%
0.04 3
 
6.0%
0.0 3
 
6.0%
0.05 2
 
4.0%
0.06 1
 
2.0%
0.11 1
 
2.0%
ValueCountFrequency (%)
0.0 3
 
6.0%
0.01 12
24.0%
0.02 16
32.0%
0.03 12
24.0%
0.04 3
 
6.0%
0.05 2
 
4.0%
0.06 1
 
2.0%
0.11 1
 
2.0%
ValueCountFrequency (%)
0.11 1
 
2.0%
0.06 1
 
2.0%
0.05 2
 
4.0%
0.04 3
 
6.0%
0.03 12
24.0%
0.02 16
32.0%
0.01 12
24.0%
0.0 3
 
6.0%

shp_no
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
19020*********
50 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19020*********
2nd row19020*********
3rd row19020*********
4th row19020*********
5th row19020*********

Common Values

ValueCountFrequency (%)
19020********* 50
100.0%

Length

2024-03-13T21:41:53.231147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:53.385074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19020 50
100.0%

shp_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
대*호
50 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대*호
2nd row대*호
3rd row대*호
4th row대*호
5th row대*호

Common Values

ValueCountFrequency (%)
대*호 50
100.0%

Length

2024-03-13T21:41:53.518774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:53.653470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대*호 50
100.0%

shp_knd_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
기선
50 

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 50
100.0%

Length

2024-03-13T21:41:53.789474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:53.979851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기선 50
100.0%

shp_qtmt_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
FRP
50 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
FRP 50
100.0%

Length

2024-03-13T21:41:54.137500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:54.287293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
frp 50
100.0%

rgshb_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
경남 남해군 미조면
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경남 남해군 미조면
2nd row경남 남해군 미조면
3rd row경남 남해군 미조면
4th row경남 남해군 미조면
5th row경남 남해군 미조면

Common Values

ValueCountFrequency (%)
경남 남해군 미조면 50
100.0%

Length

2024-03-13T21:41:54.486624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:54.619536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경남 50
33.3%
남해군 50
33.3%
미조면 50
33.3%

shp_gtnn
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
7.93
50 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.93
2nd row7.93
3rd row7.93
4th row7.93
5th row7.93

Common Values

ValueCountFrequency (%)
7.93 50
100.0%

Length

2024-03-13T21:41:54.756795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:54.900899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7.93 50
100.0%

shp_lt
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
13.5
50 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13.5
2nd row13.5
3rd row13.5
4th row13.5
5th row13.5

Common Values

ValueCountFrequency (%)
13.5 50
100.0%

Length

2024-03-13T21:41:55.064626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:55.209416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13.5 50
100.0%

shp_prpos_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
연안복합어업
50 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
연안복합어업 50
100.0%

Length

2024-03-13T21:41:55.347123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:41:55.490458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연안복합어업 50
100.0%

Interactions

2024-03-13T21:41:49.000251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:46.207942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:46.914681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:47.604092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:48.280407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:49.132027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:46.320608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:47.082890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:47.728194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:48.398685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:49.300629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:46.452848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:47.225629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:47.872360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:48.541661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:49.453628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:46.595723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:47.350889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:48.011848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:48.698810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:49.592484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:46.731876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:47.473363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:48.146738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:41:48.849112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T21:41:55.599880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
data_sngtr_ymdhmsshp_lashp_loshp_sog
data_sn1.0000.7750.8840.8840.299
gtr_ymdhms0.7751.0000.7330.9690.168
shp_la0.8840.7331.0000.8410.000
shp_lo0.8840.9690.8411.0000.244
shp_sog0.2990.1680.0000.2441.000
2024-03-13T21:41:55.748571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
data_sngtr_ymdhmsshp_lashp_loshp_sog
data_sn1.0001.000-0.4450.9220.276
gtr_ymdhms1.0001.000-0.4450.9220.276
shp_la-0.445-0.4451.000-0.375-0.150
shp_lo0.9220.922-0.3751.0000.310
shp_sog0.2760.276-0.1500.3101.000

Missing values

2024-03-13T21:41:50.203613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T21:41:50.507127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

data_sngtr_ymgtr_ymdhmsshp_lashp_loshp_cogshp_sogshp_noshp_nmshp_knd_nmshp_qtmt_nmrgshb_nmshp_gtnnshp_ltshp_prpos_nm
012023122023120411225634.706506128.04635400.0219020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
122023122023120411225734.706506128.04635400.0619020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
232023122023120411225834.706506128.04635400.0219020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
342023122023120411225934.706506128.04635400.0319020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
452023122023120411230034.706506128.04635400.0119020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
562023122023120411230134.706506128.04635500.0219020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
672023122023120411230234.706506128.04635500.0419020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
782023122023120411230334.706506128.04635500.0119020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
892023122023120411230434.706506128.04635500.0119020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
9102023122023120411230534.706506128.04635500.0119020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
data_sngtr_ymgtr_ymdhmsshp_lashp_loshp_cogshp_sogshp_noshp_nmshp_knd_nmshp_qtmt_nmrgshb_nmshp_gtnnshp_ltshp_prpos_nm
40412023122023120411342734.706492128.04636100.0319020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
41422023122023120411342834.706491128.04636100.0519020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
42432023122023120411342934.706491128.04636100.0219020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
43442023122023120411343034.706491128.04636100.0219020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
44452023122023120411343134.706491128.0463600.0219020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
45462023122023120411343234.706491128.0463600.0219020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
46472023122023120411343334.706491128.0463600.0119020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
47482023122023120411343434.706491128.0463600.0219020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
48492023122023120411343534.706491128.04635900.0319020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업
49502023122023120411343634.706491128.04635900.0519020*********대*호기선FRP경남 남해군 미조면7.9313.5연안복합어업