Overview

Dataset statistics

Number of variables7
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory62.7 B

Variable types

DateTime1
Numeric3
Categorical3

Dataset

Description제주특별자치도 제주연구원에서 조사 및 제공하는 제주지역 수출입 동향 관련 구분별(수출 / 수입) 연도별 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15051467/fileData.do

Alerts

자료 has constant value ""Constant
해당기관 has constant value ""Constant
데이터기준일자 has constant value ""Constant
수입(천달러) is highly overall correlated with 무역수지(천달러)High correlation
무역수지(천달러) is highly overall correlated with 수입(천달러)High correlation
해당연월 has unique valuesUnique
수출(천달러) has unique valuesUnique
수입(천달러) has unique valuesUnique
무역수지(천달러) has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:21:22.233766
Analysis finished2023-12-12 14:21:23.422011
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해당연월
Date

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2020-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-12T23:21:23.481488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:23.596797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

수출(천달러)
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15984.208
Minimum7632.286
Maximum23154.234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T23:21:23.747666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7632.286
5-th percentile10103.192
Q112785.486
median16005.715
Q319056.387
95-th percentile22681.403
Maximum23154.234
Range15521.948
Interquartile range (IQR)6270.901

Descriptive statistics

Standard deviation4200.4776
Coefficient of variation (CV)0.26278921
Kurtosis-1.0440175
Mean15984.208
Median Absolute Deviation (MAD)3199.1945
Skewness-0.032320476
Sum575431.5
Variance17644012
MonotonicityNot monotonic
2023-12-12T23:21:23.888803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
10839.869 1
 
2.8%
19641.298 1
 
2.8%
18938.269 1
 
2.8%
22652.475 1
 
2.8%
23154.234 1
 
2.8%
15749.353 1
 
2.8%
15627.003 1
 
2.8%
21936.255 1
 
2.8%
16262.078 1
 
2.8%
16715.13 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
7632.286 1
2.8%
9728.675 1
2.8%
10228.031 1
2.8%
10752.867 1
2.8%
10753.099 1
2.8%
10839.869 1
2.8%
11660.549 1
2.8%
12100.16 1
2.8%
12357.354 1
2.8%
12928.197 1
2.8%
ValueCountFrequency (%)
23154.234 1
2.8%
22768.186 1
2.8%
22652.475 1
2.8%
21936.255 1
2.8%
20616.516 1
2.8%
20598.968 1
2.8%
19641.298 1
2.8%
19587.662 1
2.8%
19326.586 1
2.8%
18966.321 1
2.8%

수입(천달러)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34632.554
Minimum16312.149
Maximum55279.019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T23:21:24.044949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16312.149
5-th percentile21088.891
Q130229.482
median33774.152
Q339964.383
95-th percentile49305.973
Maximum55279.019
Range38966.87
Interquartile range (IQR)9734.9015

Descriptive statistics

Standard deviation8990.3482
Coefficient of variation (CV)0.25959241
Kurtosis0.36920767
Mean34632.554
Median Absolute Deviation (MAD)4306.7335
Skewness0.2057425
Sum1246771.9
Variance80826360
MonotonicityNot monotonic
2023-12-12T23:21:24.545008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
29669.753 1
 
2.8%
30315.465 1
 
2.8%
32106.026 1
 
2.8%
32571.629 1
 
2.8%
55279.019 1
 
2.8%
47594.124 1
 
2.8%
40081.39 1
 
2.8%
36098.067 1
 
2.8%
54441.518 1
 
2.8%
38307.445 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
16312.149 1
2.8%
16646.483 1
2.8%
22569.694 1
2.8%
22577.606 1
2.8%
23412.529 1
2.8%
24602.001 1
2.8%
29669.753 1
2.8%
29707.266 1
2.8%
29971.532 1
2.8%
30315.465 1
2.8%
ValueCountFrequency (%)
55279.019 1
2.8%
54441.518 1
2.8%
47594.124 1
2.8%
47496.052 1
2.8%
45733.069 1
2.8%
41628.04 1
2.8%
41117.708 1
2.8%
40103.979 1
2.8%
40081.39 1
2.8%
39925.381 1
2.8%

무역수지(천달러)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-18648.346
Minimum-38179.44
Maximum-5893.616
Zeros0
Zeros (%)0.0%
Negative36
Negative (%)100.0%
Memory size456.0 B
2023-12-12T23:21:24.700916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-38179.44
5-th percentile-32557.455
Q1-22411.901
median-18730.387
Q3-12180.632
95-th percentile-8196.8365
Maximum-5893.616
Range32285.824
Interquartile range (IQR)10231.269

Descriptive statistics

Standard deviation7922.5263
Coefficient of variation (CV)-0.42483803
Kurtosis-0.11698052
Mean-18648.346
Median Absolute Deviation (MAD)5707.412
Skewness-0.56244592
Sum-671340.44
Variance62766423
MonotonicityNot monotonic
2023-12-12T23:21:24.856110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
-18829.884 1
 
2.8%
-10674.167 1
 
2.8%
-13167.757 1
 
2.8%
-9919.154 1
 
2.8%
-32124.785 1
 
2.8%
-31844.771 1
 
2.8%
-24454.387 1
 
2.8%
-14161.812 1
 
2.8%
-38179.44 1
 
2.8%
-21592.315 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
-38179.44 1
2.8%
-33855.466 1
2.8%
-32124.785 1
2.8%
-31844.771 1
2.8%
-29085.15 1
2.8%
-26116.876 1
2.8%
-24454.387 1
2.8%
-24421.211 1
2.8%
-23193.442 1
2.8%
-22151.387 1
2.8%
ValueCountFrequency (%)
-5893.616 1
2.8%
-6583.474 1
2.8%
-8734.624 1
2.8%
-9919.154 1
2.8%
-10212.34 1
2.8%
-10644.946 1
2.8%
-10674.167 1
2.8%
-10808.48 1
2.8%
-11673.804 1
2.8%
-12349.575 1
2.8%

자료
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
한국무역협회
36 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국무역협회 36
100.0%

Length

2023-12-12T23:21:25.018249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:25.132579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국무역협회 36
100.0%

해당기관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
제주연구원
36 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주연구원 36
100.0%

Length

2023-12-12T23:21:25.247891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:25.344543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주연구원 36
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-01-02
36 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-02
2nd row2023-01-02
3rd row2023-01-02
4th row2023-01-02
5th row2023-01-02

Common Values

ValueCountFrequency (%)
2023-01-02 36
100.0%

Length

2023-12-12T23:21:25.475952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:25.596295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-02 36
100.0%

Interactions

2023-12-12T23:21:22.916741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:22.350815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:22.640300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:23.014339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:22.443432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:22.730996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:23.132535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:22.537813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:22.830880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:21:25.661116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
해당연월수출(천달러)수입(천달러)무역수지(천달러)
해당연월1.0001.0001.0001.000
수출(천달러)1.0001.0000.3920.208
수입(천달러)1.0000.3921.0000.761
무역수지(천달러)1.0000.2080.7611.000
2023-12-12T23:21:25.751052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수출(천달러)수입(천달러)무역수지(천달러)
수출(천달러)1.0000.4780.018
수입(천달러)0.4781.000-0.829
무역수지(천달러)0.018-0.8291.000

Missing values

2023-12-12T23:21:23.245197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:21:23.369179image/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

해당연월수출(천달러)수입(천달러)무역수지(천달러)자료해당기관데이터기준일자
02020-0110839.86929669.753-18829.884한국무역협회제주연구원2023-01-02
12020-0214677.90523412.529-8734.624한국무역협회제주연구원2023-01-02
22020-0312928.19724602.001-11673.804한국무역협회제주연구원2023-01-02
32020-0410752.86716646.483-5893.616한국무역협회제주연구원2023-01-02
42020-059728.67516312.149-6583.474한국무역협회제주연구원2023-01-02
52020-0610228.03122577.606-12349.575한국무역협회제주연구원2023-01-02
62020-077632.28630825.728-23193.442한국무역협회제주연구원2023-01-02
72020-0810753.09935174.31-24421.211한국무역협회제주연구원2023-01-02
82020-0913225.72834344.621-21118.893한국무역협회제주연구원2023-01-02
92020-1012100.1630731.05-18630.89한국무역협회제주연구원2023-01-02
해당연월수출(천달러)수입(천달러)무역수지(천달러)자료해당기관데이터기준일자
262022-0321936.25536098.067-14161.812한국무역협회제주연구원2023-01-02
272022-0416262.07854441.518-38179.44한국무역협회제주연구원2023-01-02
282022-0516715.1338307.445-21592.315한국무역협회제주연구원2023-01-02
292022-0616647.91945733.069-29085.15한국무역협회제주연구원2023-01-02
302022-0711660.54933203.684-21543.135한국무역협회제주연구원2023-01-02
312022-0813640.58647496.052-33855.466한국무역협회제주연구원2023-01-02
322022-0913808.50539925.381-26116.876한국무역협회제주연구원2023-01-02
332022-1013324.70832968.595-19643.887한국무역협회제주연구원2023-01-02
342022-1118561.66640103.979-21542.313한국무역협회제주연구원2023-01-02
352022-1220598.96836848.585-16249.617한국무역협회제주연구원2023-01-02