Overview

Dataset statistics

Number of variables4
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory960.0 B
Average record size in memory41.7 B

Variable types

Numeric4

Dataset

Description한국산업표준 기본현황 및 표준활동에 대한 통계정보 : 형태별 한국산업규격 현황(연도,제품표준,방법표준,전달표준)
URLhttps://www.data.go.kr/data/15065280/fileData.do

Alerts

연도 is highly overall correlated with 방법표준High correlation
제품표준 is highly overall correlated with 전달표준High correlation
방법표준 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
전달표준 is highly overall correlated with 제품표준 and 1 other fieldsHigh correlation
연도 has unique valuesUnique
방법표준 has unique valuesUnique
전달표준 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:11:21.528115
Analysis finished2023-12-12 15:11:23.659838
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011
Minimum2000
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T00:11:23.727555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2001.1
Q12005.5
median2011
Q32016.5
95-th percentile2020.9
Maximum2022
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.0033726156
Kurtosis-1.2
Mean2011
Median Absolute Deviation (MAD)6
Skewness0
Sum46253
Variance46
MonotonicityStrictly increasing
2023-12-13T00:11:23.874352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2000 1
 
4.3%
2001 1
 
4.3%
2022 1
 
4.3%
2021 1
 
4.3%
2020 1
 
4.3%
2019 1
 
4.3%
2018 1
 
4.3%
2017 1
 
4.3%
2016 1
 
4.3%
2015 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
2000 1
4.3%
2001 1
4.3%
2002 1
4.3%
2003 1
4.3%
2004 1
4.3%
2005 1
4.3%
2006 1
4.3%
2007 1
4.3%
2008 1
4.3%
2009 1
4.3%
ValueCountFrequency (%)
2022 1
4.3%
2021 1
4.3%
2020 1
4.3%
2019 1
4.3%
2018 1
4.3%
2017 1
4.3%
2016 1
4.3%
2015 1
4.3%
2014 1
4.3%
2013 1
4.3%

제품표준
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6578
Minimum5714
Maximum7642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T00:11:24.027946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5714
5-th percentile5804.3
Q16010.5
median6119
Q37465.5
95-th percentile7627.9
Maximum7642
Range1928
Interquartile range (IQR)1455

Descriptive statistics

Standard deviation753.49163
Coefficient of variation (CV)0.11454722
Kurtosis-1.6680882
Mean6578
Median Absolute Deviation (MAD)303
Skewness0.49117634
Sum151294
Variance567749.64
MonotonicityNot monotonic
2023-12-13T00:11:24.166481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6020 2
 
8.7%
5714 1
 
4.3%
7622 1
 
4.3%
6105 1
 
4.3%
6065 1
 
4.3%
6001 1
 
4.3%
5953 1
 
4.3%
5880 1
 
4.3%
5816 1
 
4.3%
6119 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
5714 1
4.3%
5803 1
4.3%
5816 1
4.3%
5880 1
4.3%
5953 1
4.3%
6001 1
4.3%
6020 2
8.7%
6065 1
4.3%
6097 1
4.3%
6105 1
4.3%
ValueCountFrequency (%)
7642 1
4.3%
7628 1
4.3%
7627 1
4.3%
7622 1
4.3%
7581 1
4.3%
7550 1
4.3%
7381 1
4.3%
7263 1
4.3%
6861 1
4.3%
6422 1
4.3%

방법표준
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7487.913
Minimum3106
Maximum8727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T00:11:24.394595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3106
5-th percentile3639.4
Q17693.5
median8000
Q38347.5
95-th percentile8652.8
Maximum8727
Range5621
Interquartile range (IQR)654

Descriptive statistics

Standard deviation1563.4582
Coefficient of variation (CV)0.20879759
Kurtosis3.3270106
Mean7487.913
Median Absolute Deviation (MAD)384
Skewness-2.0379783
Sum172222
Variance2444401.6
MonotonicityNot monotonic
2023-12-13T00:11:24.542200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3106 1
 
4.3%
3500 1
 
4.3%
8654 1
 
4.3%
8496 1
 
4.3%
8311 1
 
4.3%
8205 1
 
4.3%
8084 1
 
4.3%
8000 1
 
4.3%
7896 1
 
4.3%
7799 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
3106 1
4.3%
3500 1
4.3%
4894 1
4.3%
6383 1
4.3%
7070 1
4.3%
7588 1
4.3%
7799 1
4.3%
7818 1
4.3%
7878 1
4.3%
7896 1
4.3%
ValueCountFrequency (%)
8727 1
4.3%
8654 1
4.3%
8642 1
4.3%
8496 1
4.3%
8483 1
4.3%
8384 1
4.3%
8311 1
4.3%
8232 1
4.3%
8205 1
4.3%
8119 1
4.3%

전달표준
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6225.3478
Minimum2025
Maximum7780
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T00:11:24.700649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2025
5-th percentile2858.9
Q16401
median6517
Q36975
95-th percentile7638.3
Maximum7780
Range5755
Interquartile range (IQR)574

Descriptive statistics

Standard deviation1438.6684
Coefficient of variation (CV)0.23109848
Kurtosis3.4785613
Mean6225.3478
Median Absolute Deviation (MAD)342
Skewness-1.9053306
Sum143183
Variance2069766.8
MonotonicityNot monotonic
2023-12-13T00:11:24.857453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2025 1
 
4.3%
2703 1
 
4.3%
6677 1
 
4.3%
6638 1
 
4.3%
6585 1
 
4.3%
6528 1
 
4.3%
6470 1
 
4.3%
6402 1
 
4.3%
6437 1
 
4.3%
6474 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
2025 1
4.3%
2703 1
4.3%
4262 1
4.3%
5209 1
4.3%
5934 1
4.3%
6400 1
4.3%
6402 1
4.3%
6432 1
4.3%
6437 1
4.3%
6470 1
4.3%
ValueCountFrequency (%)
7780 1
4.3%
7654 1
4.3%
7497 1
4.3%
7360 1
4.3%
7249 1
4.3%
7091 1
4.3%
6859 1
4.3%
6677 1
4.3%
6638 1
4.3%
6585 1
4.3%

Interactions

2023-12-13T00:11:23.134974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:21.623681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:22.297437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:22.658151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:23.227915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:21.706385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:22.381349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:22.792331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:23.329417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:21.784412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:22.470985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:22.927036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:23.422932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:21.872221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:22.555749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:11:23.037808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:11:24.986575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도제품표준방법표준전달표준
연도1.0000.8810.6630.706
제품표준0.8811.0000.7230.933
방법표준0.6630.7231.0000.919
전달표준0.7060.9330.9191.000
2023-12-13T00:11:25.100965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도제품표준방법표준전달표준
연도1.000-0.1630.6600.391
제품표준-0.1631.0000.4570.720
방법표준0.6600.4571.0000.873
전달표준0.3910.7200.8731.000

Missing values

2023-12-13T00:11:23.537194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:11:23.622245image/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

연도제품표준방법표준전달표준
02000571431062025
12001580335002703
22002602048944262
32003642263835209
42004686170705934
52005726375886400
62006738178186859
72007755081197091
82008758182327249
92009762883847360
연도제품표준방법표준전달표준
132013609779536432
142014612478786517
152015611977996474
162016581678966437
172017588080006402
182018595380846470
192019600182056528
202020602083116585
212021606584966638
222022610586546677