Overview

Dataset statistics

Number of variables7
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory65.2 B

Variable types

DateTime1
Numeric6

Dataset

Description한국수력원자력(주)에서 운영중인 SNS(유튜브, 인스타, 페북, 네이버블로그, 네이버포스트)의 구독자수(팔로워수) 자료입니다.
Author한국수력원자력(주)
URLhttps://www.data.go.kr/data/15061644/fileData.do

Alerts

유튜브(명) is highly overall correlated with 인스타그램(명) and 4 other fieldsHigh correlation
인스타그램(명) is highly overall correlated with 유튜브(명) and 4 other fieldsHigh correlation
페이스북(명) is highly overall correlated with 유튜브(명) and 4 other fieldsHigh correlation
블로그(명) is highly overall correlated with 유튜브(명) and 4 other fieldsHigh correlation
포스트(명) is highly overall correlated with 유튜브(명) and 4 other fieldsHigh correlation
합계 is highly overall correlated with 유튜브(명) and 4 other fieldsHigh correlation
년월 has unique valuesUnique
유튜브(명) has unique valuesUnique
인스타그램(명) has unique valuesUnique
블로그(명) has unique valuesUnique
합계 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:41:09.093759
Analysis finished2024-03-14 11:41:18.663664
Duration9.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Date

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size448.0 B
Minimum2020-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-03-14T20:41:19.063310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:19.498584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

유튜브(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46059.35
Minimum10118
Maximum78462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-03-14T20:41:19.889677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10118
5-th percentile10773.05
Q123078.5
median52126
Q366323.5
95-th percentile77698.3
Maximum78462
Range68344
Interquartile range (IQR)43245

Descriptive statistics

Standard deviation24667.065
Coefficient of variation (CV)0.53554958
Kurtosis-1.6334478
Mean46059.35
Median Absolute Deviation (MAD)23539.5
Skewness-0.10961774
Sum1842374
Variance6.0846412 × 108
MonotonicityNot monotonic
2024-03-14T20:41:20.317712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
10118 1
 
2.5%
54209 1
 
2.5%
61968 1
 
2.5%
62575 1
 
2.5%
64334 1
 
2.5%
64599 1
 
2.5%
64547 1
 
2.5%
64526 1
 
2.5%
65684 1
 
2.5%
68242 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
10118 1
2.5%
10337 1
2.5%
10796 1
2.5%
11599 1
2.5%
13392 1
2.5%
15951 1
2.5%
17452 1
2.5%
18414 1
2.5%
20274 1
2.5%
22216 1
2.5%
ValueCountFrequency (%)
78462 1
2.5%
77951 1
2.5%
77685 1
2.5%
77381 1
2.5%
75666 1
2.5%
75665 1
2.5%
75483 1
2.5%
75190 1
2.5%
73311 1
2.5%
68242 1
2.5%

인스타그램(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5841.5
Minimum2673
Maximum7592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-03-14T20:41:20.719819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2673
5-th percentile2939.75
Q14635.25
median6592.5
Q37051
95-th percentile7527.55
Maximum7592
Range4919
Interquartile range (IQR)2415.75

Descriptive statistics

Standard deviation1574.7781
Coefficient of variation (CV)0.26958455
Kurtosis-0.93679076
Mean5841.5
Median Absolute Deviation (MAD)912
Skewness-0.6788936
Sum233660
Variance2479926.2
MonotonicityNot monotonic
2024-03-14T20:41:21.124483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2673 1
 
2.5%
6776 1
 
2.5%
6894 1
 
2.5%
6927 1
 
2.5%
6976 1
 
2.5%
7039 1
 
2.5%
7020 1
 
2.5%
7009 1
 
2.5%
7035 1
 
2.5%
7087 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
2673 1
2.5%
2764 1
2.5%
2949 1
2.5%
3197 1
2.5%
3449 1
2.5%
3744 1
2.5%
3904 1
2.5%
4050 1
2.5%
4263 1
2.5%
4411 1
2.5%
ValueCountFrequency (%)
7592 1
2.5%
7557 1
2.5%
7526 1
2.5%
7493 1
2.5%
7473 1
2.5%
7438 1
2.5%
7376 1
2.5%
7137 1
2.5%
7113 1
2.5%
7087 1
2.5%

페이스북(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79920.05
Minimum77952
Maximum82589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-03-14T20:41:21.510945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77952
5-th percentile78225.95
Q178600.75
median79328
Q381340.75
95-th percentile82017.1
Maximum82589
Range4637
Interquartile range (IQR)2740

Descriptive statistics

Standard deviation1497.6018
Coefficient of variation (CV)0.018738749
Kurtosis-1.659902
Mean79920.05
Median Absolute Deviation (MAD)1231
Skewness0.21884838
Sum3196802
Variance2242811.1
MonotonicityNot monotonic
2024-03-14T20:41:21.930859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
78801 2
 
5.0%
82114 1
 
2.5%
81852 1
 
2.5%
78808 1
 
2.5%
78821 1
 
2.5%
78884 1
 
2.5%
78688 1
 
2.5%
78661 1
 
2.5%
79772 1
 
2.5%
78731 1
 
2.5%
Other values (29) 29
72.5%
ValueCountFrequency (%)
77952 1
2.5%
78168 1
2.5%
78229 1
2.5%
78247 1
2.5%
78269 1
2.5%
78376 1
2.5%
78378 1
2.5%
78405 1
2.5%
78447 1
2.5%
78483 1
2.5%
ValueCountFrequency (%)
82589 1
2.5%
82114 1
2.5%
82012 1
2.5%
81949 1
2.5%
81852 1
2.5%
81812 1
2.5%
81596 1
2.5%
81537 1
2.5%
81501 1
2.5%
81394 1
2.5%

블로그(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3017.75
Minimum1801
Maximum3784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-03-14T20:41:22.324644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1801
5-th percentile1979
Q12540.25
median3225
Q33518
95-th percentile3747.15
Maximum3784
Range1983
Interquartile range (IQR)977.75

Descriptive statistics

Standard deviation596.58617
Coefficient of variation (CV)0.19769238
Kurtosis-0.86254103
Mean3017.75
Median Absolute Deviation (MAD)405
Skewness-0.60560681
Sum120710
Variance355915.06
MonotonicityNot monotonic
2024-03-14T20:41:22.767862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1801 1
 
2.5%
3274 1
 
2.5%
3207 1
 
2.5%
3232 1
 
2.5%
3261 1
 
2.5%
3325 1
 
2.5%
3399 1
 
2.5%
3500 1
 
2.5%
3512 1
 
2.5%
3536 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1801 1
2.5%
1865 1
2.5%
1985 1
2.5%
2047 1
2.5%
2076 1
2.5%
2221 1
2.5%
2286 1
2.5%
2326 1
2.5%
2363 1
2.5%
2481 1
2.5%
ValueCountFrequency (%)
3784 1
2.5%
3769 1
2.5%
3746 1
2.5%
3710 1
2.5%
3683 1
2.5%
3650 1
2.5%
3610 1
2.5%
3577 1
2.5%
3559 1
2.5%
3536 1
2.5%

포스트(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2577.475
Minimum2168
Maximum2797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-03-14T20:41:23.169930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2168
5-th percentile2226.2
Q12446
median2656
Q32732.5
95-th percentile2774.55
Maximum2797
Range629
Interquartile range (IQR)286.5

Descriptive statistics

Standard deviation196.15823
Coefficient of variation (CV)0.076104804
Kurtosis-0.76690389
Mean2577.475
Median Absolute Deviation (MAD)101.5
Skewness-0.8106716
Sum103099
Variance38478.051
MonotonicityNot monotonic
2024-03-14T20:41:23.587016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2732 2
 
5.0%
2168 1
 
2.5%
2192 1
 
2.5%
2693 1
 
2.5%
2702 1
 
2.5%
2715 1
 
2.5%
2720 1
 
2.5%
2729 1
 
2.5%
2730 1
 
2.5%
2734 1
 
2.5%
Other values (29) 29
72.5%
ValueCountFrequency (%)
2168 1
2.5%
2192 1
2.5%
2228 1
2.5%
2256 1
2.5%
2272 1
2.5%
2288 1
2.5%
2297 1
2.5%
2301 1
2.5%
2366 1
2.5%
2386 1
2.5%
ValueCountFrequency (%)
2797 1
2.5%
2785 1
2.5%
2774 1
2.5%
2765 1
2.5%
2761 1
2.5%
2759 1
2.5%
2753 1
2.5%
2742 1
2.5%
2737 1
2.5%
2734 1
2.5%

합계
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137416.12
Minimum98874
Maximum170803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-03-14T20:41:23.984204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98874
5-th percentile99526.8
Q1113734
median143044
Q3158370
95-th percentile169952.8
Maximum170803
Range71929
Interquartile range (IQR)44636

Descriptive statistics

Standard deviation25531.056
Coefficient of variation (CV)0.18579374
Kurtosis-1.583308
Mean137416.12
Median Absolute Deviation (MAD)24684
Skewness-0.14395775
Sum5496645
Variance6.518348 × 108
MonotonicityNot monotonic
2024-03-14T20:41:24.404157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
98874 1
 
2.5%
145202 1
 
2.5%
153592 1
 
2.5%
154333 1
 
2.5%
155979 1
 
2.5%
156353 1
 
2.5%
157468 1
 
2.5%
156570 1
 
2.5%
157694 1
 
2.5%
160398 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
98874 1
2.5%
99010 1
2.5%
99554 1
2.5%
100600 1
2.5%
103138 1
2.5%
106216 1
2.5%
108528 1
2.5%
108903 1
2.5%
110409 1
2.5%
113110 1
2.5%
ValueCountFrequency (%)
170803 1
2.5%
170025 1
2.5%
169949 1
2.5%
169725 1
2.5%
167996 1
2.5%
167805 1
2.5%
167651 1
2.5%
167286 1
2.5%
165412 1
2.5%
160398 1
2.5%

Interactions

2024-03-14T20:41:16.484308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:09.314405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:10.836420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:12.317269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:13.801579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:15.185586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:16.748673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:09.573344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:11.092222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:12.571578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:14.070604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:15.346328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:16.995945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:09.795025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:11.323042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:12.807157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:14.322579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:15.494663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:17.241498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:10.037212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:11.554183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:13.039339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:14.578342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:15.715583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:17.509616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:10.313476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:11.811630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:13.300231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:14.856686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:15.978358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:17.771375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:10.569862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:12.061028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:13.549083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:15.020358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:41:16.227386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:41:24.673608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월유튜브(명)인스타그램(명)페이스북(명)블로그(명)포스트(명)합계
년월1.0001.0001.0001.0001.0001.0001.000
유튜브(명)1.0001.0000.9090.7870.8990.9200.996
인스타그램(명)1.0000.9091.0000.6210.9850.9900.936
페이스북(명)1.0000.7870.6211.0000.6660.7050.803
블로그(명)1.0000.8990.9850.6661.0000.9850.918
포스트(명)1.0000.9200.9900.7050.9851.0000.908
합계1.0000.9960.9360.8030.9180.9081.000
2024-03-14T20:41:24.965005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유튜브(명)인스타그램(명)페이스북(명)블로그(명)포스트(명)합계
유튜브(명)1.0000.999-0.9120.9900.9970.999
인스타그램(명)0.9991.000-0.9120.9900.9970.998
페이스북(명)-0.912-0.9121.000-0.924-0.909-0.907
블로그(명)0.9900.990-0.9241.0000.9910.991
포스트(명)0.9970.997-0.9090.9911.0000.998
합계0.9990.998-0.9070.9910.9981.000

Missing values

2024-03-14T20:41:18.131056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:41:18.513423image/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

년월유튜브(명)인스타그램(명)페이스북(명)블로그(명)포스트(명)합계
02020-01101182673821141801216898874
12020-02103372764818521865219299010
22020-03107962949815961985222899554
32020-041159931978150120472256100600
42020-051339234498194920762272103138
52020-061595137448201222212288106216
62020-071745239048258922862297108528
72020-081841440508181223262301108903
82020-092027442638102524812366110409
92020-102221644118153725602386113110
년월유튜브(명)인스타그램(명)페이스북(명)블로그(명)포스트(명)합계
302023-036824270877880135362732160398
312023-047331171137869235592737165412
322023-057519071377864035772742167286
332023-067566573767824736102753167651
342023-077566674387848336502759167996
352023-087548374737840536832761167805
362023-097738174937837637102765169725
372023-107795175267795237462774169949
382023-117768575577822937692785170025
392023-127846275927816837842797170803