Overview

Dataset statistics

Number of variables9
Number of observations62
Missing cells186
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory78.1 B

Variable types

Categorical4
Numeric1
Unsupported3
Text1

Dataset

Description경기평택항만공사 부두시설 현황
Author경기평택항만공사
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=YD4K15TQKHJG4G3KC4U130672246&infSeq=1

Alerts

부두시설 is highly overall correlated with 접안능력 and 2 other fieldsHigh correlation
접안능력 is highly overall correlated with 부두시설High correlation
운영사 is highly overall correlated with 부두시설 and 1 other fieldsHigh correlation
처리화물 is highly overall correlated with 부두시설 and 1 other fieldsHigh correlation
안벽(m) has 62 (100.0%) missing valuesMissing
수심(m) has 62 (100.0%) missing valuesMissing
야적장(㎡) has 62 (100.0%) missing valuesMissing
안벽(m) is an unsupported type, check if it needs cleaning or further analysisUnsupported
수심(m) is an unsupported type, check if it needs cleaning or further analysisUnsupported
야적장(㎡) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-14 04:46:41.981341
Analysis finished2024-04-14 04:46:43.700081
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

부두시설
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size628.0 B
동부두
16 
송악부두
13 
고대부두
10 
서부두
9 
모래부두
7 

Length

Max length4
Median length4
Mean length3.5967742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동부두 16
25.8%
송악부두 13
21.0%
고대부두 10
16.1%
서부두 9
14.5%
모래부두 7
11.3%
돌핀부두 7
11.3%

Length

2024-04-14T13:46:43.753585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T13:46:43.839343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부두 16
25.8%
송악부두 13
21.0%
고대부두 10
16.1%
서부두 9
14.5%
모래부두 7
11.3%
돌핀부두 7
11.3%

선석번호
Real number (ℝ)

Distinct16
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1935484
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-14T13:46:43.917641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q38.75
95-th percentile13.95
Maximum16
Range15
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation3.8701832
Coefficient of variation (CV)0.62487334
Kurtosis-0.24311117
Mean6.1935484
Median Absolute Deviation (MAD)3
Skewness0.65312906
Sum384
Variance14.978318
MonotonicityNot monotonic
2024-04-14T13:46:43.997701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 6
9.7%
2 6
9.7%
3 6
9.7%
4 6
9.7%
5 6
9.7%
6 6
9.7%
7 6
9.7%
9 4
6.5%
8 4
6.5%
10 3
 
4.8%
Other values (6) 9
14.5%
ValueCountFrequency (%)
1 6
9.7%
2 6
9.7%
3 6
9.7%
4 6
9.7%
5 6
9.7%
6 6
9.7%
7 6
9.7%
8 4
6.5%
9 4
6.5%
10 3
4.8%
ValueCountFrequency (%)
16 1
 
1.6%
15 1
 
1.6%
14 2
 
3.2%
13 1
 
1.6%
12 2
 
3.2%
11 2
 
3.2%
10 3
4.8%
9 4
6.5%
8 4
6.5%
7 6
9.7%

안벽(m)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

수심(m)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

접안능력
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
30000톤급 1척
21 
50000톤급 1척
15 
3000톤급 1척
8 
2000TEU 1척
5 
5000톤급 1척
4 
Other values (7)
9 

Length

Max length11
Median length10
Mean length9.8548387
Min length9

Unique

Unique5 ?
Unique (%)8.1%

Sample

1st row50000톤급 1척
2nd row50000톤급 1척
3rd row50000톤급 1척
4th row30000톤급 1척
5th row50000톤급 1척

Common Values

ValueCountFrequency (%)
30000톤급 1척 21
33.9%
50000톤급 1척 15
24.2%
3000톤급 1척 8
 
12.9%
2000TEU 1척 5
 
8.1%
5000톤급 1척 4
 
6.5%
3000TEU 1척 2
 
3.2%
70000톤급 1척 2
 
3.2%
200000톤급 1척 1
 
1.6%
100000톤급 1척 1
 
1.6%
20000톤급 1척 1
 
1.6%
Other values (2) 2
 
3.2%

Length

2024-04-14T13:46:44.099472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1척 62
50.0%
30000톤급 21
 
16.9%
50000톤급 15
 
12.1%
3000톤급 8
 
6.5%
2000teu 5
 
4.0%
5000톤급 4
 
3.2%
3000teu 2
 
1.6%
70000톤급 2
 
1.6%
200000톤급 1
 
0.8%
100000톤급 1
 
0.8%
Other values (3) 3
 
2.4%

하역능력
Text

Distinct32
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-04-14T13:46:44.243067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.4193548
Min length1

Characters and Unicode

Total characters274
Distinct characters19
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)29.0%

Sample

1st row3620
2nd row3620
3rd row3620
4th row3570
5th row3620
ValueCountFrequency (%)
590 7
 
10.1%
기당 7
 
10.1%
1640 4
 
5.8%
740 4
 
5.8%
2572 4
 
5.8%
3620 4
 
5.8%
770 4
 
5.8%
2000 3
 
4.3%
3600 2
 
2.9%
2858 2
 
2.9%
Other values (23) 28
40.6%
2024-04-14T13:46:44.485371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 74
27.0%
2 26
 
9.5%
6 22
 
8.0%
5 21
 
7.7%
1 20
 
7.3%
7 18
 
6.6%
3 13
 
4.7%
4 11
 
4.0%
8 8
 
2.9%
m 7
 
2.6%
Other values (9) 54
19.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
80.3%
Lowercase Letter 14
 
5.1%
Other Letter 14
 
5.1%
Other Punctuation 11
 
4.0%
Other Number 7
 
2.6%
Space Separator 7
 
2.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74
33.6%
2 26
 
11.8%
6 22
 
10.0%
5 21
 
9.5%
1 20
 
9.1%
7 18
 
8.2%
3 13
 
5.9%
4 11
 
5.0%
8 8
 
3.6%
9 7
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
m 7
50.0%
h 7
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 7
63.6%
, 4
36.4%
Other Letter
ValueCountFrequency (%)
기 7
50.0%
당 7
50.0%
Other Number
ValueCountFrequency (%)
² 7
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 246
89.8%
Latin 14
 
5.1%
Hangul 14
 
5.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 74
30.1%
2 26
 
10.6%
6 22
 
8.9%
5 21
 
8.5%
1 20
 
8.1%
7 18
 
7.3%
3 13
 
5.3%
4 11
 
4.5%
8 8
 
3.3%
/ 7
 
2.8%
Other values (5) 26
 
10.6%
Latin
ValueCountFrequency (%)
m 7
50.0%
h 7
50.0%
Hangul
ValueCountFrequency (%)
기 7
50.0%
당 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
92.3%
Hangul 14
 
5.1%
None 7
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 74
29.2%
2 26
 
10.3%
6 22
 
8.7%
5 21
 
8.3%
1 20
 
7.9%
7 18
 
7.1%
3 13
 
5.1%
4 11
 
4.3%
8 8
 
3.2%
m 7
 
2.8%
Other values (6) 33
13.0%
None
ValueCountFrequency (%)
² 7
100.0%
Hangul
ValueCountFrequency (%)
기 7
50.0%
당 7
50.0%

야적장(㎡)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

운영사
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size628.0 B
현대제철㈜
13 
㈜공영해운
7 
동부당진항만운영㈜
6 
평택컨테이너터미널㈜
4 
평택항만㈜
3 
Other values (20)
29 

Length

Max length17
Median length10
Mean length6.8709677
Min length5

Unique

Unique12 ?
Unique (%)19.4%

Sample

1st row현대글로비스
2nd row평택국제자동차부두㈜
3rd row평택국제자동차부두㈜
4th row대주중공업
5th row대주중공업

Common Values

ValueCountFrequency (%)
현대제철㈜ 13
21.0%
㈜공영해운 7
 
11.3%
동부당진항만운영㈜ 6
 
9.7%
평택컨테이너터미널㈜ 4
 
6.5%
평택항만㈜ 3
 
4.8%
평택동방아이포트㈜ 3
 
4.8%
한국가스공사 2
 
3.2%
㈜평택당진항만 2
 
3.2%
평택당진중앙부두㈜ 2
 
3.2%
평택국제자동차부두㈜ 2
 
3.2%
Other values (15) 18
29.0%

Length

2024-04-14T13:46:44.584919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
현대제철㈜ 13
20.6%
㈜공영해운 7
 
11.1%
동부당진항만운영㈜ 6
 
9.5%
평택컨테이너터미널㈜ 4
 
6.3%
평택항만㈜ 3
 
4.8%
평택동방아이포트㈜ 3
 
4.8%
한국석유공사 2
 
3.2%
㈜태영그레인터미널 2
 
3.2%
대주중공업 2
 
3.2%
평택국제자동차부두㈜ 2
 
3.2%
Other values (16) 19
30.2%

처리화물
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size628.0 B
철재
10 
잡화
9 
액체화물
8 
컨테이너
7 
모래
7 
Other values (6)
21 

Length

Max length4
Median length3.5
Mean length2.8225806
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
철재 10
16.1%
잡화 9
14.5%
액체화물 8
12.9%
컨테이너 7
11.3%
모래 7
11.3%
자동차 5
8.1%
기타광석 5
8.1%
시멘트 3
 
4.8%
철광석 3
 
4.8%
석탄 3
 
4.8%

Length

2024-04-14T13:46:44.679697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철재 10
16.1%
잡화 9
14.5%
액체화물 8
12.9%
컨테이너 7
11.3%
모래 7
11.3%
자동차 5
8.1%
기타광석 5
8.1%
시멘트 3
 
4.8%
철광석 3
 
4.8%
석탄 3
 
4.8%

Interactions

2024-04-14T13:46:43.427751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T13:46:44.748509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부두시설선석번호접안능력하역능력운영사처리화물
부두시설1.0000.0000.8781.0001.0000.947
선석번호0.0001.0000.0000.2190.5710.122
접안능력0.8780.0001.0000.9800.7010.803
하역능력1.0000.2190.9801.0000.9750.998
운영사1.0000.5710.7010.9751.0000.962
처리화물0.9470.1220.8030.9980.9621.000
2024-04-14T13:46:44.824228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부두시설운영사처리화물접안능력
부두시설1.0000.8130.8150.512
운영사0.8131.0000.6690.258
처리화물0.8150.6691.0000.477
접안능력0.5120.2580.4771.000
2024-04-14T13:46:44.892891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
선석번호부두시설접안능력운영사처리화물
선석번호1.0000.0000.1380.0550.000
부두시설0.0001.0000.5120.8130.815
접안능력0.1380.5121.0000.2580.477
운영사0.0550.8130.2581.0000.669
처리화물0.0000.8150.4770.6691.000

Missing values

2024-04-14T13:46:43.559357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T13:46:43.657013image/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

부두시설선석번호안벽(m)수심(m)접안능력하역능력야적장(㎡)운영사처리화물
0동부두1<NA><NA>50000톤급 1척3620<NA>현대글로비스자동차
1동부두2<NA><NA>50000톤급 1척3620<NA>평택국제자동차부두㈜자동차
2동부두3<NA><NA>50000톤급 1척3620<NA>평택국제자동차부두㈜자동차
3동부두4<NA><NA>30000톤급 1척3570<NA>대주중공업자동차
4동부두5<NA><NA>50000톤급 1척3620<NA>대주중공업자동차
5동부두6<NA><NA>3000TEU 1척2572<NA>평택컨테이너터미널㈜컨테이너
6동부두7<NA><NA>3000TEU 1척2572<NA>평택컨테이너터미널㈜컨테이너
7동부두8<NA><NA>2000TEU 1척2572<NA>평택컨테이너터미널㈜컨테이너
8동부두9<NA><NA>2000TEU 1척2572<NA>평택컨테이너터미널㈜컨테이너
9동부두10<NA><NA>30000톤급 1척740<NA>평택항만㈜잡화
부두시설선석번호안벽(m)수심(m)접안능력하역능력야적장(㎡)운영사처리화물
52송악부두11<NA><NA>30000톤급 1척1660<NA>현대제철㈜기타광석
53송악부두12<NA><NA>30000톤급 1척1510<NA>현대제철㈜철재
54송악부두14<NA><NA>30000톤급 1척1510<NA>현대제철㈜철재
55돌핀부두1<NA><NA>70000톤급 1척기당 4,200m²/h<NA>한국가스공사액체화물
56돌핀부두2<NA><NA>127000톤급 1척기당 4,200m²/h<NA>한국가스공사액체화물
57돌핀부두3<NA><NA>55000톤급 1척기당 1,050m²/h<NA>한국석유공사액체화물
58돌핀부두4<NA><NA>5000톤급 1척기당 340m²/h<NA>한국석유공사액체화물
59돌핀부두5<NA><NA>70000톤급 1척기당 1,000m²/h<NA>SK가스㈜액체화물
60돌핀부두6<NA><NA>50000톤급 1척기당 600m²/h<NA>한국서부발전㈜액체화물
61돌핀부두7<NA><NA>30000톤급 1척기당 300m²/h<NA>SP탱크터미널㈜액체화물