Overview

Dataset statistics

Number of variables6
Number of observations23
Missing cells23
Missing cells (%)16.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory58.7 B

Variable types

Categorical1
Text1
Numeric3
Unsupported1

Alerts

집계년도 has constant value ""Constant
경기도수산현황수량 is highly overall correlated with 전국수산현황수량High correlation
전국수산현황수량 is highly overall correlated with 경기도수산현황수량 and 1 other fieldsHigh correlation
비율(%) is highly overall correlated with 전국수산현황수량High correlation
비고사항 has 23 (100.0%) missing valuesMissing
수산업통계분류명 has unique valuesUnique
전국수산현황수량 has unique valuesUnique
비고사항 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-12 22:59:18.899394
Analysis finished2024-03-12 22:59:19.785560
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2022
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 23
100.0%

Length

2024-03-13T07:59:19.835854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T07:59:19.906147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 23
100.0%

수산업통계분류명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T07:59:20.038535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.6521739
Min length5

Characters and Unicode

Total characters199
Distinct characters69
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row어가구(호)
2nd row지구별 수협(개소)
3rd row어선(척)
4th row낚시어선(척)
5th row어항(개소)
ValueCountFrequency (%)
길이(km 2
 
6.2%
내수면 2
 
6.2%
어가구(호 1
 
3.1%
장(ha 1
 
3.1%
어업지도선(척 1
 
3.1%
영어조합법인(개소 1
 
3.1%
어업계(개소 1
 
3.1%
어촌계(개소 1
 
3.1%
낚시터(개소 1
 
3.1%
수산물가공업체(개소 1
 
3.1%
Other values (20) 20
62.5%
2024-03-13T07:59:20.311616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 23
 
11.6%
) 23
 
11.6%
어 11
 
5.5%
소 11
 
5.5%
개 11
 
5.5%
9
 
4.5%
수 9
 
4.5%
업 6
 
3.0%
가 4
 
2.0%
선 4
 
2.0%
Other values (59) 88
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137
68.8%
Open Punctuation 23
 
11.6%
Close Punctuation 23
 
11.6%
Space Separator 9
 
4.5%
Lowercase Letter 6
 
3.0%
Other Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 11
 
8.0%
소 11
 
8.0%
개 11
 
8.0%
수 9
 
6.6%
업 6
 
4.4%
가 4
 
2.9%
선 4
 
2.9%
면 4
 
2.9%
산 4
 
2.9%
인 3
 
2.2%
Other values (51) 70
51.1%
Lowercase Letter
ValueCountFrequency (%)
k 2
33.3%
m 2
33.3%
h 1
16.7%
a 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Symbol
ValueCountFrequency (%)
㎢ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137
68.8%
Common 56
28.1%
Latin 6
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 11
 
8.0%
소 11
 
8.0%
개 11
 
8.0%
수 9
 
6.6%
업 6
 
4.4%
가 4
 
2.9%
선 4
 
2.9%
면 4
 
2.9%
산 4
 
2.9%
인 3
 
2.2%
Other values (51) 70
51.1%
Common
ValueCountFrequency (%)
( 23
41.1%
) 23
41.1%
9
 
16.1%
㎢ 1
 
1.8%
Latin
ValueCountFrequency (%)
k 2
33.3%
m 2
33.3%
h 1
16.7%
a 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137
68.8%
ASCII 61
30.7%
CJK Compat 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 23
37.7%
) 23
37.7%
9
 
14.8%
k 2
 
3.3%
m 2
 
3.3%
h 1
 
1.6%
a 1
 
1.6%
Hangul
ValueCountFrequency (%)
어 11
 
8.0%
소 11
 
8.0%
개 11
 
8.0%
수 9
 
6.6%
업 6
 
4.4%
가 4
 
2.9%
선 4
 
2.9%
면 4
 
2.9%
산 4
 
2.9%
인 3
 
2.2%
Other values (51) 70
51.1%
CJK Compat
ValueCountFrequency (%)
㎢ 1
100.0%

경기도수산현황수량
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2521.1304
Minimum3
Maximum34539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-13T07:59:20.403835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.8
Q147.5
median168
Q31403
95-th percentile8700.6
Maximum34539
Range34536
Interquartile range (IQR)1355.5

Descriptive statistics

Standard deviation7282.9039
Coefficient of variation (CV)2.8887454
Kurtosis18.914713
Mean2521.1304
Median Absolute Deviation (MAD)157
Skewness4.2411064
Sum57986
Variance53040689
MonotonicityNot monotonic
2024-03-13T07:59:20.499458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3 2
 
8.7%
997 1
 
4.3%
403 1
 
4.3%
2456 1
 
4.3%
53 1
 
4.3%
59 1
 
4.3%
60 1
 
4.3%
317 1
 
4.3%
462 1
 
4.3%
16 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
3 2
8.7%
11 1
4.3%
16 1
4.3%
32 1
4.3%
42 1
4.3%
53 1
4.3%
59 1
4.3%
60 1
4.3%
76 1
4.3%
134 1
4.3%
ValueCountFrequency (%)
34539 1
4.3%
9279 1
4.3%
3495 1
4.3%
3304 1
4.3%
2456 1
4.3%
1809 1
4.3%
997 1
4.3%
462 1
4.3%
403 1
4.3%
317 1
4.3%

전국수산현황수량
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180608.61
Minimum70
Maximum3317190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-13T07:59:20.594433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile106
Q1949
median3382
Q338198.5
95-th percentile326845.7
Maximum3317190
Range3317120
Interquartile range (IQR)37249.5

Descriptive statistics

Standard deviation688318.24
Coefficient of variation (CV)3.8111043
Kurtosis22.306909
Mean180608.61
Median Absolute Deviation (MAD)3258
Skewness4.6967126
Sum4153998
Variance4.7378201 × 1011
MonotonicityNot monotonic
2024-03-13T07:59:20.688597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
46199 1
 
4.3%
70 1
 
4.3%
100968 1
 
4.3%
104 1
 
4.3%
2324 1
 
4.3%
336 1
 
4.3%
2045 1
 
4.3%
942 1
 
4.3%
3600 1
 
4.3%
956 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
70 1
4.3%
104 1
4.3%
124 1
4.3%
336 1
4.3%
449 1
4.3%
942 1
4.3%
956 1
4.3%
2045 1
4.3%
2301 1
4.3%
2324 1
4.3%
ValueCountFrequency (%)
3317190 1
4.3%
342835 1
4.3%
182942 1
4.3%
100968 1
4.3%
65531 1
4.3%
46199 1
4.3%
30198 1
4.3%
29399 1
4.3%
15257 1
4.3%
4364 1
4.3%

비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2521739
Minimum1
Maximum33.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-13T07:59:20.779091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.11
Q11.7
median2.4
Q35.1
95-th percentile28.57
Maximum33.7
Range32.7
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation9.0291885
Coefficient of variation (CV)1.4441678
Kurtosis4.6254314
Mean6.2521739
Median Absolute Deviation (MAD)1
Skewness2.3046874
Sum143.8
Variance81.526245
MonotonicityNot monotonic
2024-03-13T07:59:21.128228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1.8 3
 
13.0%
2.8 2
 
8.7%
2.1 1
 
4.3%
29.8 1
 
4.3%
2.4 1
 
4.3%
2.2 1
 
4.3%
17.5 1
 
4.3%
2.9 1
 
4.3%
33.7 1
 
4.3%
12.8 1
 
4.3%
Other values (10) 10
43.5%
ValueCountFrequency (%)
1.0 1
 
4.3%
1.1 1
 
4.3%
1.2 1
 
4.3%
1.3 1
 
4.3%
1.4 1
 
4.3%
1.6 1
 
4.3%
1.8 3
13.0%
2.1 1
 
4.3%
2.2 1
 
4.3%
2.4 1
 
4.3%
ValueCountFrequency (%)
33.7 1
4.3%
29.8 1
4.3%
17.5 1
4.3%
12.8 1
4.3%
8.9 1
4.3%
6.0 1
4.3%
4.2 1
4.3%
2.9 1
4.3%
2.8 2
8.7%
2.7 1
4.3%

비고사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

Interactions

2024-03-13T07:59:19.436113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T07:59:19.001794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T07:59:19.224000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T07:59:19.508789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T07:59:19.078311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T07:59:19.300892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T07:59:19.576896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T07:59:19.151066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T07:59:19.365223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T07:59:21.194087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수산업통계분류명경기도수산현황수량전국수산현황수량비율(%)
수산업통계분류명1.0001.0001.0001.000
경기도수산현황수량1.0001.0001.0000.000
전국수산현황수량1.0001.0001.0000.000
비율(%)1.0000.0000.0001.000
2024-03-13T07:59:21.265714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경기도수산현황수량전국수산현황수량비율(%)
경기도수산현황수량1.0000.882-0.235
전국수산현황수량0.8821.000-0.550
비율(%)-0.235-0.5501.000

Missing values

2024-03-13T07:59:19.664231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T07:59:19.751912image/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

집계년도수산업통계분류명경기도수산현황수량전국수산현황수량비율(%)비고사항
02022어가구(호)997461992.1<NA>
12022지구별 수협(개소)3704.2<NA>
22022어선(척)1809655312.8<NA>
32022낚시어선(척)7643641.8<NA>
42022어항(개소)3223011.4<NA>
52022해안선 길이(km)268152571.8<NA>
62022강하천 길이(km)3495301981.1<NA>
72022갯벌면적(㎢)16824826.0<NA>
82022도 서 수(개소)4233821.2<NA>
92022어업허가(건)33041829421.8<NA>
집계년도수산업통계분류명경기도수산현황수량전국수산현황수량비율(%)비고사항
132022어촌체험마을(개소)111248.9<NA>
142022내수면수상레저업체(개소)13444929.8<NA>
152022염전현황(개소)169561.6<NA>
162022수산물가공업체(개소)462360012.8<NA>
172022내수면 낚시터(개소)31794233.7<NA>
182022어촌계(개소)6020452.9<NA>
192022내수면 어업계(개소)5933617.5<NA>
202022영어조합법인(개소)5323242.2<NA>
212022어업지도선(척)31042.8<NA>
222022어가인구(명)24561009682.4<NA>