Overview

Dataset statistics

Number of variables17
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.4 KiB
Average record size in memory153.4 B

Variable types

DateTime1
Numeric16

Dataset

Description해당 데어티는 반도체, 디스플레이 등 반도체/디스플레이에 대한 수출액과 전년 동월비 증감현황 제공하고 있습니다. ex) 메모리(억불), 메모리 D램(억불) 등
URLhttps://www.data.go.kr/data/15051126/fileData.do

Alerts

반도체(억불) is highly overall correlated with 메모리(억불) and 7 other fieldsHigh correlation
반도체_전년동월대비_증감률(퍼센트) is highly overall correlated with 메모리(억불) and 7 other fieldsHigh correlation
메모리(억불) is highly overall correlated with 반도체(억불) and 8 other fieldsHigh correlation
메모리_전년동월대비_증감률(퍼센트) is highly overall correlated with 반도체_전년동월대비_증감률(퍼센트) and 5 other fieldsHigh correlation
메모리_D램(억불) is highly overall correlated with 반도체(억불) and 7 other fieldsHigh correlation
메모리_D램_전년동월대비_증감률(퍼센트) is highly overall correlated with 반도체_전년동월대비_증감률(퍼센트) and 5 other fieldsHigh correlation
메모리_낸드(억불) is highly overall correlated with 반도체(억불) and 6 other fieldsHigh correlation
메모리_낸드_전년동월대비_증감률(퍼센트) is highly overall correlated with 반도체(억불) and 6 other fieldsHigh correlation
메모리_MCP(억불) is highly overall correlated with 반도체(억불) and 6 other fieldsHigh correlation
메모리_MCP_전년동월대비_증감률(퍼센트) is highly overall correlated with 반도체_전년동월대비_증감률(퍼센트) and 1 other fieldsHigh correlation
시스템_반도체(억불) is highly overall correlated with 반도체(억불) and 6 other fieldsHigh correlation
시스템_반도체_전년동월대비_증감률(퍼센트) is highly overall correlated with 반도체(억불) and 4 other fieldsHigh correlation
개별소자(억불) is highly overall correlated with 반도체(억불) and 8 other fieldsHigh correlation
디스플레이_패널_전년동월대비_증감률(퍼센트) is highly overall correlated with 반도체_전년동월대비_증감률(퍼센트) and 2 other fieldsHigh correlation
년월 has unique valuesUnique
반도체_전년동월대비_증감률(퍼센트) has 1 (1.0%) zerosZeros

Reproduction

Analysis started2023-12-12 23:14:58.903965
Analysis finished2023-12-12 23:15:24.212206
Duration25.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Date

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2015-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-13T08:15:24.300820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:24.497760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

반도체(억불)
Real number (ℝ)

HIGH CORRELATION 

Distinct89
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.34375
Minimum41.5
Maximum131.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-13T08:15:24.664264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.5
5-th percentile48.65
Q162.05
median84
Q3101.225
95-th percentile120.75
Maximum131.2
Range89.7
Interquartile range (IQR)39.175

Descriptive statistics

Standard deviation23.432163
Coefficient of variation (CV)0.28115082
Kurtosis-1.0115056
Mean83.34375
Median Absolute Deviation (MAD)19.9
Skewness0.040003233
Sum8001
Variance549.06628
MonotonicityNot monotonic
2023-12-13T08:15:24.810975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.2 2
 
2.1%
90.0 2
 
2.1%
84.3 2
 
2.1%
87.6 2
 
2.1%
55.9 2
 
2.1%
58.6 2
 
2.1%
111.6 2
 
2.1%
95.0 1
 
1.0%
82.0 1
 
1.0%
78.8 1
 
1.0%
Other values (79) 79
82.3%
ValueCountFrequency (%)
41.5 1
1.0%
45.3 1
1.0%
45.5 1
1.0%
47.6 1
1.0%
47.9 1
1.0%
48.9 1
1.0%
50.0 1
1.0%
51.1 1
1.0%
51.4 1
1.0%
51.6 1
1.0%
ValueCountFrequency (%)
131.2 1
1.0%
127.8 1
1.0%
124.3 1
1.0%
123.5 1
1.0%
121.8 1
1.0%
120.4 1
1.0%
117.0 1
1.0%
115.8 1
1.0%
115.4 1
1.0%
115.1 1
1.0%

반도체_전년동월대비_증감률(퍼센트)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct92
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.603125
Minimum-32.1
Maximum69.9
Zeros1
Zeros (%)1.0%
Negative32
Negative (%)33.3%
Memory size996.0 B
2023-12-13T08:15:24.990093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-32.1
5-th percentile-30.05
Q1-6.075
median8.9
Q332.3
95-th percentile57.025
Maximum69.9
Range102
Interquartile range (IQR)38.375

Descriptive statistics

Standard deviation26.739726
Coefficient of variation (CV)2.1216743
Kurtosis-0.74145707
Mean12.603125
Median Absolute Deviation (MAD)20.25
Skewness0.24616461
Sum1209.9
Variance715.01294
MonotonicityNot monotonic
2023-12-13T08:15:25.138116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.9 2
 
2.1%
11.6 2
 
2.1%
28.2 2
 
2.1%
-2.6 2
 
2.1%
13.3 1
 
1.0%
7.0 1
 
1.0%
30.0 1
 
1.0%
16.4 1
 
1.0%
10.4 1
 
1.0%
11.8 1
 
1.0%
Other values (82) 82
85.4%
ValueCountFrequency (%)
-32.1 1
1.0%
-31.6 1
1.0%
-30.8 1
1.0%
-30.7 1
1.0%
-30.5 1
1.0%
-29.9 1
1.0%
-29.1 1
1.0%
-28.1 1
1.0%
-25.6 1
1.0%
-24.8 1
1.0%
ValueCountFrequency (%)
69.9 1
1.0%
69.6 1
1.0%
65.2 1
1.0%
64.9 1
1.0%
57.7 1
1.0%
56.8 1
1.0%
56.7 1
1.0%
54.1 1
1.0%
53.6 1
1.0%
53.2 1
1.0%

메모리(억불)
Real number (ℝ)

HIGH CORRELATION 

Distinct89
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.482292
Minimum22.6
Maximum96.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-13T08:15:25.279575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.6
5-th percentile26.55
Q138
median52.7
Q366.3
95-th percentile82.6
Maximum96.2
Range73.6
Interquartile range (IQR)28.3

Descriptive statistics

Standard deviation18.461767
Coefficient of variation (CV)0.34519402
Kurtosis-0.90042385
Mean53.482292
Median Absolute Deviation (MAD)14.1
Skewness0.062683957
Sum5134.3
Variance340.83684
MonotonicityNot monotonic
2023-12-13T08:15:25.438588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.8 2
 
2.1%
27.4 2
 
2.1%
51.9 2
 
2.1%
32.7 2
 
2.1%
76.4 2
 
2.1%
65.4 2
 
2.1%
52.2 2
 
2.1%
56.4 1
 
1.0%
57.8 1
 
1.0%
61.9 1
 
1.0%
Other values (79) 79
82.3%
ValueCountFrequency (%)
22.6 1
1.0%
24.3 1
1.0%
24.8 1
1.0%
25.8 1
1.0%
26.1 1
1.0%
26.7 1
1.0%
26.9 1
1.0%
27.4 2
2.1%
27.5 1
1.0%
27.7 1
1.0%
ValueCountFrequency (%)
96.2 1
1.0%
87.7 1
1.0%
86.0 1
1.0%
85.0 1
1.0%
84.1 1
1.0%
82.1 1
1.0%
82.0 1
1.0%
80.5 1
1.0%
80.4 1
1.0%
79.5 1
1.0%

메모리_전년동월대비_증감률(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.13125
Minimum-49.7
Maximum112.1
Zeros0
Zeros (%)0.0%
Negative36
Negative (%)37.5%
Memory size996.0 B
2023-12-13T08:15:25.566067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-49.7
5-th percentile-39.675
Q1-11.05
median7.85
Q342.675
95-th percentile92.175
Maximum112.1
Range161.8
Interquartile range (IQR)53.725

Descriptive statistics

Standard deviation38.736775
Coefficient of variation (CV)2.4013499
Kurtosis-0.24914944
Mean16.13125
Median Absolute Deviation (MAD)21.95
Skewness0.60803098
Sum1548.6
Variance1500.5377
MonotonicityNot monotonic
2023-12-13T08:15:25.710592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-13.5 2
 
2.1%
4.6 2
 
2.1%
26.5 2
 
2.1%
-16.7 2
 
2.1%
9.8 2
 
2.1%
17.6 1
 
1.0%
25.2 1
 
1.0%
7.3 1
 
1.0%
9.0 1
 
1.0%
-2.3 1
 
1.0%
Other values (81) 81
84.4%
ValueCountFrequency (%)
-49.7 1
1.0%
-47.2 1
1.0%
-43.2 1
1.0%
-41.4 1
1.0%
-39.9 1
1.0%
-39.6 1
1.0%
-37.2 1
1.0%
-36.4 1
1.0%
-35.7 1
1.0%
-31.1 1
1.0%
ValueCountFrequency (%)
112.1 1
1.0%
103.8 1
1.0%
97.7 1
1.0%
95.6 1
1.0%
93.3 1
1.0%
91.8 1
1.0%
89.4 1
1.0%
88.3 1
1.0%
85.1 1
1.0%
79.5 1
1.0%

메모리_D램(억불)
Real number (ℝ)

HIGH CORRELATION 

Distinct83
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.651042
Minimum11.7
Maximum44.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-13T08:15:25.851215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.7
5-th percentile13.725
Q117.925
median24.75
Q331.85
95-th percentile41.3
Maximum44.9
Range33.2
Interquartile range (IQR)13.925

Descriptive statistics

Standard deviation8.7047355
Coefficient of variation (CV)0.33935212
Kurtosis-0.86533585
Mean25.651042
Median Absolute Deviation (MAD)7.05
Skewness0.29386467
Sum2462.5
Variance75.77242
MonotonicityNot monotonic
2023-12-13T08:15:26.310054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.1 3
 
3.1%
29.0 2
 
2.1%
41.3 2
 
2.1%
31.1 2
 
2.1%
29.9 2
 
2.1%
14.0 2
 
2.1%
23.5 2
 
2.1%
25.2 2
 
2.1%
17.6 2
 
2.1%
32.4 2
 
2.1%
Other values (73) 75
78.1%
ValueCountFrequency (%)
11.7 1
1.0%
11.9 1
1.0%
12.0 1
1.0%
13.0 1
1.0%
13.2 1
1.0%
13.9 1
1.0%
14.0 2
2.1%
14.1 1
1.0%
14.4 1
1.0%
14.5 1
1.0%
ValueCountFrequency (%)
44.9 1
1.0%
42.6 1
1.0%
42.0 1
1.0%
41.4 1
1.0%
41.3 2
2.1%
40.7 1
1.0%
38.9 1
1.0%
38.8 1
1.0%
38.7 1
1.0%
37.8 1
1.0%

메모리_D램_전년동월대비_증감률(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct93
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.13125
Minimum-51.1
Maximum117.1
Zeros0
Zeros (%)0.0%
Negative35
Negative (%)36.5%
Memory size996.0 B
2023-12-13T08:15:26.458703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-51.1
5-th percentile-44.45
Q1-18.625
median9.95
Q340.775
95-th percentile94.625
Maximum117.1
Range168.2
Interquartile range (IQR)59.4

Descriptive statistics

Standard deviation41.687889
Coefficient of variation (CV)2.7550856
Kurtosis-0.61152174
Mean15.13125
Median Absolute Deviation (MAD)30.25
Skewness0.42041959
Sum1452.6
Variance1737.8801
MonotonicityNot monotonic
2023-12-13T08:15:26.601523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.8 2
 
2.1%
-29.9 2
 
2.1%
-22.0 2
 
2.1%
32.8 1
 
1.0%
20.2 1
 
1.0%
19.7 1
 
1.0%
19.1 1
 
1.0%
8.4 1
 
1.0%
14.2 1
 
1.0%
24.8 1
 
1.0%
Other values (83) 83
86.5%
ValueCountFrequency (%)
-51.1 1
1.0%
-48.1 1
1.0%
-47.8 1
1.0%
-47.6 1
1.0%
-45.5 1
1.0%
-44.1 1
1.0%
-42.1 1
1.0%
-41.9 1
1.0%
-40.7 1
1.0%
-39.6 1
1.0%
ValueCountFrequency (%)
117.1 1
1.0%
100.7 1
1.0%
100.6 1
1.0%
99.3 1
1.0%
95.6 1
1.0%
94.3 1
1.0%
83.2 1
1.0%
81.0 1
1.0%
77.4 1
1.0%
73.3 1
1.0%

메모리_낸드(억불)
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6427083
Minimum1.9
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-13T08:15:26.748575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9
5-th percentile2.175
Q13
median4.9
Q35.925
95-th percentile7.4
Maximum8
Range6.1
Interquartile range (IQR)2.925

Descriptive statistics

Standard deviation1.726435
Coefficient of variation (CV)0.37185946
Kurtosis-1.1393735
Mean4.6427083
Median Absolute Deviation (MAD)1.4
Skewness-0.056631978
Sum445.7
Variance2.9805779
MonotonicityNot monotonic
2023-12-13T08:15:26.897199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
2.2 6
 
6.2%
4.9 6
 
6.2%
5.7 6
 
6.2%
2.3 5
 
5.2%
5.0 5
 
5.2%
3.0 3
 
3.1%
5.1 3
 
3.1%
4.8 3
 
3.1%
6.2 3
 
3.1%
6.3 3
 
3.1%
Other values (35) 53
55.2%
ValueCountFrequency (%)
1.9 1
 
1.0%
2.0 2
 
2.1%
2.1 2
 
2.1%
2.2 6
6.2%
2.3 5
5.2%
2.4 1
 
1.0%
2.5 3
3.1%
2.6 2
 
2.1%
2.9 1
 
1.0%
3.0 3
3.1%
ValueCountFrequency (%)
8.0 1
 
1.0%
7.9 1
 
1.0%
7.5 1
 
1.0%
7.4 3
3.1%
7.1 2
2.1%
7.0 2
2.1%
6.8 1
 
1.0%
6.7 2
2.1%
6.6 2
2.1%
6.4 1
 
1.0%
Distinct90
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.964583
Minimum-45.8
Maximum134
Zeros0
Zeros (%)0.0%
Negative36
Negative (%)37.5%
Memory size996.0 B
2023-12-13T08:15:27.054768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-45.8
5-th percentile-39.4
Q1-16.7
median11.8
Q334.35
95-th percentile112.475
Maximum134
Range179.8
Interquartile range (IQR)51.05

Descriptive statistics

Standard deviation44.330389
Coefficient of variation (CV)2.7767958
Kurtosis0.45023889
Mean15.964583
Median Absolute Deviation (MAD)25.2
Skewness0.91579694
Sum1532.6
Variance1965.1834
MonotonicityNot monotonic
2023-12-13T08:15:27.204006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.1 2
 
2.1%
-13.4 2
 
2.1%
-38.2 2
 
2.1%
31.1 2
 
2.1%
-16.6 2
 
2.1%
-28.3 2
 
2.1%
-32.5 1
 
1.0%
1.7 1
 
1.0%
78.8 1
 
1.0%
11.3 1
 
1.0%
Other values (80) 80
83.3%
ValueCountFrequency (%)
-45.8 1
1.0%
-45.7 1
1.0%
-43.4 1
1.0%
-41.2 1
1.0%
-40.3 1
1.0%
-39.1 1
1.0%
-38.2 2
2.1%
-38.0 1
1.0%
-37.3 1
1.0%
-36.6 1
1.0%
ValueCountFrequency (%)
134.0 1
1.0%
127.3 1
1.0%
126.8 1
1.0%
126.6 1
1.0%
119.0 1
1.0%
110.3 1
1.0%
109.1 1
1.0%
96.1 1
1.0%
90.9 1
1.0%
86.3 1
1.0%

메모리_MCP(억불)
Real number (ℝ)

HIGH CORRELATION 

Distinct79
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.963542
Minimum6.4
Maximum32.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-13T08:15:27.349730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.4
5-th percentile8.45
Q113.4
median17.7
Q321.5
95-th percentile28.7
Maximum32.1
Range25.7
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation6.1526566
Coefficient of variation (CV)0.34250799
Kurtosis-0.51444712
Mean17.963542
Median Absolute Deviation (MAD)4.25
Skewness0.32015712
Sum1724.5
Variance37.855183
MonotonicityNot monotonic
2023-12-13T08:15:27.497907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.4 4
 
4.2%
27.1 3
 
3.1%
19.6 3
 
3.1%
17.7 2
 
2.1%
11.4 2
 
2.1%
12.5 2
 
2.1%
18.2 2
 
2.1%
24.8 2
 
2.1%
15.1 2
 
2.1%
24.1 2
 
2.1%
Other values (69) 72
75.0%
ValueCountFrequency (%)
6.4 1
1.0%
6.7 1
1.0%
8.0 1
1.0%
8.2 1
1.0%
8.3 1
1.0%
8.5 1
1.0%
8.6 1
1.0%
9.3 1
1.0%
9.4 1
1.0%
9.8 1
1.0%
ValueCountFrequency (%)
32.1 1
 
1.0%
31.3 1
 
1.0%
30.5 1
 
1.0%
30.3 1
 
1.0%
30.2 1
 
1.0%
28.2 1
 
1.0%
28.1 1
 
1.0%
27.3 1
 
1.0%
27.1 3
3.1%
26.9 1
 
1.0%

메모리_MCP_전년동월대비_증감률(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct95
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.603125
Minimum-55.4
Maximum112.2
Zeros0
Zeros (%)0.0%
Negative33
Negative (%)34.4%
Memory size996.0 B
2023-12-13T08:15:27.635361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-55.4
5-th percentile-35.85
Q1-6.925
median20.05
Q342.4
95-th percentile69.85
Maximum112.2
Range167.6
Interquartile range (IQR)49.325

Descriptive statistics

Standard deviation34.109778
Coefficient of variation (CV)1.9377115
Kurtosis-0.32718197
Mean17.603125
Median Absolute Deviation (MAD)25.1
Skewness0.0044848936
Sum1689.9
Variance1163.4769
MonotonicityNot monotonic
2023-12-13T08:15:27.799127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 2
 
2.1%
-1.7 1
 
1.0%
34.9 1
 
1.0%
21.9 1
 
1.0%
14.6 1
 
1.0%
0.4 1
 
1.0%
9.3 1
 
1.0%
-4.3 1
 
1.0%
45.1 1
 
1.0%
-9.3 1
 
1.0%
Other values (85) 85
88.5%
ValueCountFrequency (%)
-55.4 1
1.0%
-52.5 1
1.0%
-49.8 1
1.0%
-46.6 1
1.0%
-45.6 1
1.0%
-32.6 1
1.0%
-32.5 1
1.0%
-32.2 1
1.0%
-30.8 1
1.0%
-30.0 1
1.0%
ValueCountFrequency (%)
112.2 1
1.0%
86.9 1
1.0%
74.4 1
1.0%
73.4 1
1.0%
72.7 1
1.0%
68.9 1
1.0%
68.8 1
1.0%
60.9 1
1.0%
59.5 1
1.0%
58.9 1
1.0%

시스템_반도체(억불)
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.201042
Minimum14.1
Maximum46.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-13T08:15:27.959776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.1
5-th percentile16.625
Q119.5
median21.95
Q329.025
95-th percentile42.975
Maximum46.9
Range32.8
Interquartile range (IQR)9.525

Descriptive statistics

Standard deviation8.3363945
Coefficient of variation (CV)0.33079563
Kurtosis0.31348221
Mean25.201042
Median Absolute Deviation (MAD)3.25
Skewness1.1786198
Sum2419.3
Variance69.495473
MonotonicityNot monotonic
2023-12-13T08:15:28.086012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.9 3
 
3.1%
21.2 3
 
3.1%
19.1 2
 
2.1%
20.0 2
 
2.1%
21.6 2
 
2.1%
18.4 2
 
2.1%
23.1 2
 
2.1%
22.7 2
 
2.1%
22.5 2
 
2.1%
19.5 2
 
2.1%
Other values (71) 74
77.1%
ValueCountFrequency (%)
14.1 1
1.0%
15.2 1
1.0%
15.9 1
1.0%
16.0 1
1.0%
16.4 1
1.0%
16.7 1
1.0%
17.1 1
1.0%
17.4 1
1.0%
17.5 1
1.0%
17.6 2
2.1%
ValueCountFrequency (%)
46.9 1
1.0%
46.6 1
1.0%
45.1 1
1.0%
44.5 1
1.0%
43.8 1
1.0%
42.7 1
1.0%
42.3 1
1.0%
41.8 1
1.0%
40.1 1
1.0%
39.1 1
1.0%
Distinct91
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.289583
Minimum-25.5
Maximum58.7
Zeros0
Zeros (%)0.0%
Negative31
Negative (%)32.3%
Memory size996.0 B
2023-12-13T08:15:28.244533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-25.5
5-th percentile-13.725
Q1-2.975
median10.3
Q326.875
95-th percentile42.625
Maximum58.7
Range84.2
Interquartile range (IQR)29.85

Descriptive statistics

Standard deviation18.786056
Coefficient of variation (CV)1.5286162
Kurtosis-0.56450498
Mean12.289583
Median Absolute Deviation (MAD)14.75
Skewness0.27671451
Sum1179.8
Variance352.91589
MonotonicityNot monotonic
2023-12-13T08:15:28.390812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.4 2
 
2.1%
-13.1 2
 
2.1%
15.0 2
 
2.1%
19.5 2
 
2.1%
-6.8 2
 
2.1%
32.6 1
 
1.0%
44.8 1
 
1.0%
39.1 1
 
1.0%
16.8 1
 
1.0%
15.9 1
 
1.0%
Other values (81) 81
84.4%
ValueCountFrequency (%)
-25.5 1
1.0%
-21.0 1
1.0%
-19.1 1
1.0%
-17.1 1
1.0%
-13.8 1
1.0%
-13.7 1
1.0%
-13.1 2
2.1%
-12.8 1
1.0%
-11.8 1
1.0%
-10.9 1
1.0%
ValueCountFrequency (%)
58.7 1
1.0%
55.5 1
1.0%
53.6 1
1.0%
46.5 1
1.0%
44.8 1
1.0%
41.9 1
1.0%
40.3 1
1.0%
39.1 1
1.0%
36.3 1
1.0%
35.8 1
1.0%

개별소자(억불)
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6822917
Minimum1
Maximum5.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-13T08:15:28.501055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.2
Q12.875
median4.3
Q34.8
95-th percentile5.2
Maximum5.5
Range4.5
Interquartile range (IQR)1.925

Descriptive statistics

Standard deviation1.491096
Coefficient of variation (CV)0.40493697
Kurtosis-0.87546716
Mean3.6822917
Median Absolute Deviation (MAD)0.6
Skewness-0.86385873
Sum353.5
Variance2.2233673
MonotonicityNot monotonic
2023-12-13T08:15:28.599632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.3 12
12.5%
1.2 10
 
10.4%
4.8 8
 
8.3%
4.3 8
 
8.3%
4.7 6
 
6.2%
4.9 5
 
5.2%
4.6 5
 
5.2%
4.4 5
 
5.2%
5.2 5
 
5.2%
4.5 4
 
4.2%
Other values (15) 28
29.2%
ValueCountFrequency (%)
1.0 1
 
1.0%
1.1 1
 
1.0%
1.2 10
10.4%
1.3 12
12.5%
3.4 1
 
1.0%
3.5 3
 
3.1%
3.6 2
 
2.1%
3.7 2
 
2.1%
3.8 3
 
3.1%
3.9 3
 
3.1%
ValueCountFrequency (%)
5.5 3
 
3.1%
5.4 1
 
1.0%
5.2 5
5.2%
5.1 2
 
2.1%
5.0 1
 
1.0%
4.9 5
5.2%
4.8 8
8.3%
4.7 6
6.2%
4.6 5
5.2%
4.5 4
4.2%
Distinct85
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.4947917
Minimum-31.1
Maximum41.2
Zeros0
Zeros (%)0.0%
Negative61
Negative (%)63.5%
Memory size996.0 B
2023-12-13T08:15:28.720987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-31.1
5-th percentile-25.8
Q1-17.5
median-5.4
Q35.25
95-th percentile22.05
Maximum41.2
Range72.3
Interquartile range (IQR)22.75

Descriptive statistics

Standard deviation15.627212
Coefficient of variation (CV)-3.4767378
Kurtosis-0.17983412
Mean-4.4947917
Median Absolute Deviation (MAD)11.15
Skewness0.57055876
Sum-431.5
Variance244.20976
MonotonicityNot monotonic
2023-12-13T08:15:28.841495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-14.2 3
 
3.1%
-5.4 2
 
2.1%
-17.5 2
 
2.1%
-2.8 2
 
2.1%
-5.0 2
 
2.1%
-15.3 2
 
2.1%
-21.5 2
 
2.1%
-4.7 2
 
2.1%
-26.1 2
 
2.1%
-19.5 2
 
2.1%
Other values (75) 75
78.1%
ValueCountFrequency (%)
-31.1 1
1.0%
-31.0 1
1.0%
-27.5 1
1.0%
-26.1 2
2.1%
-25.7 1
1.0%
-24.8 1
1.0%
-23.3 1
1.0%
-22.9 1
1.0%
-22.0 1
1.0%
-21.5 2
2.1%
ValueCountFrequency (%)
41.2 1
1.0%
34.1 1
1.0%
30.7 1
1.0%
23.0 1
1.0%
22.8 1
1.0%
21.8 1
1.0%
20.2 1
1.0%
19.7 1
1.0%
18.8 1
1.0%
16.6 1
1.0%
Distinct68
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.573958
Minimum10
Maximum26.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-13T08:15:28.974643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13.5
Q117.225
median19.55
Q322.525
95-th percentile25.975
Maximum26.9
Range16.9
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation3.8892631
Coefficient of variation (CV)0.19869579
Kurtosis-0.44063675
Mean19.573958
Median Absolute Deviation (MAD)2.9
Skewness-0.10690765
Sum1879.1
Variance15.126367
MonotonicityNot monotonic
2023-12-13T08:15:29.117462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.1 3
 
3.1%
22.8 3
 
3.1%
20.2 3
 
3.1%
16.4 3
 
3.1%
19.5 2
 
2.1%
19.6 2
 
2.1%
15.7 2
 
2.1%
21.5 2
 
2.1%
21.2 2
 
2.1%
19.0 2
 
2.1%
Other values (58) 72
75.0%
ValueCountFrequency (%)
10.0 1
1.0%
11.0 1
1.0%
11.4 1
1.0%
13.0 1
1.0%
13.2 1
1.0%
13.6 1
1.0%
13.7 1
1.0%
13.8 1
1.0%
14.1 1
1.0%
14.3 2
2.1%
ValueCountFrequency (%)
26.9 1
1.0%
26.7 2
2.1%
26.6 1
1.0%
26.2 1
1.0%
25.9 1
1.0%
25.8 1
1.0%
25.6 2
2.1%
25.1 1
1.0%
24.9 2
2.1%
24.5 1
1.0%
Distinct87
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.6885417
Minimum-90.3
Maximum48.4
Zeros0
Zeros (%)0.0%
Negative59
Negative (%)61.5%
Memory size996.0 B
2023-12-13T08:15:29.254923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-90.3
5-th percentile-28.75
Q1-17.025
median-5.2
Q310.025
95-th percentile33.65
Maximum48.4
Range138.7
Interquartile range (IQR)27.05

Descriptive statistics

Standard deviation20.790037
Coefficient of variation (CV)-5.6363841
Kurtosis2.4266031
Mean-3.6885417
Median Absolute Deviation (MAD)12.5
Skewness-0.22732684
Sum-354.1
Variance432.22566
MonotonicityNot monotonic
2023-12-13T08:15:29.369850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.4 4
 
4.2%
-1.8 3
 
3.1%
10.1 2
 
2.1%
-2.7 2
 
2.1%
-12.1 2
 
2.1%
-7.9 2
 
2.1%
-39.1 1
 
1.0%
32.2 1
 
1.0%
27.9 1
 
1.0%
21.4 1
 
1.0%
Other values (77) 77
80.2%
ValueCountFrequency (%)
-90.3 1
1.0%
-39.1 1
1.0%
-35.9 1
1.0%
-31.5 1
1.0%
-29.8 1
1.0%
-28.4 1
1.0%
-27.3 1
1.0%
-26.8 1
1.0%
-25.3 1
1.0%
-25.2 1
1.0%
ValueCountFrequency (%)
48.4 1
1.0%
43.5 1
1.0%
39.2 1
1.0%
38.6 1
1.0%
38.0 1
1.0%
32.2 1
1.0%
28.2 1
1.0%
27.9 1
1.0%
23.7 1
1.0%
21.9 1
1.0%

Interactions

2023-12-13T08:15:22.228366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:14:59.484959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:00.943028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:02.377157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:03.982625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:05.940185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:07.127018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:08.329903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:09.726834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:11.108364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:12.415962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:13.975729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:15.846513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:17.195087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:18.922912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:20.442751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:22.349637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:14:59.564402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:01.027057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:02.455794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:04.369475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:06.013644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:07.194312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:08.403151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:09.796016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:11.187596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:12.485569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:14.073175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:15.919105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:17.273506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:19.017839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:20.514660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:22.452828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:14:59.656336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:01.114919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:02.536227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:04.462337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:06.088247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:07.268448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:08.467684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:09.872513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:11.267830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:12.554865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:14.172199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:15.993008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:17.353903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:19.120125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:20.589318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:22.566026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-13T08:15:11.023589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:12.344825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:13.872028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:15.763059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:17.070858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:18.825319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:20.367476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:22.097596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:15:29.470995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월반도체(억불)반도체_전년동월대비_증감률(퍼센트)메모리(억불)메모리_전년동월대비_증감률(퍼센트)메모리_D램(억불)메모리_D램_전년동월대비_증감률(퍼센트)메모리_낸드(억불)메모리_낸드_전년동월대비_증감률(퍼센트)메모리_MCP(억불)메모리_MCP_전년동월대비_증감률(퍼센트)시스템_반도체(억불)시스템_반도체_전년동월대비_증감률(퍼센트)개별소자(억불)개별소자_전년동월대비_증감률(퍼센트)디스플레이_패널(억불)디스플레이_패널_전년동월대비_증감률(퍼센트)
년월1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
반도체(억불)1.0001.0000.7300.9080.6620.8930.7150.8510.6530.8210.4570.8560.7240.7270.5480.5570.294
반도체_전년동월대비_증감률(퍼센트)1.0000.7301.0000.7140.9470.8070.9020.7210.8220.7050.7030.5450.6250.5730.6800.3410.494
메모리(억불)1.0000.9080.7141.0000.6550.9210.6880.8460.6220.8820.3680.7200.6370.7560.5680.5480.145
메모리_전년동월대비_증감률(퍼센트)1.0000.6620.9470.6551.0000.7080.9290.7180.7920.6890.7360.4990.0000.5830.7040.3700.456
메모리_D램(억불)1.0000.8930.8070.9210.7081.0000.7140.7970.5360.7770.3480.7060.6470.7090.6990.3080.356
메모리_D램_전년동월대비_증감률(퍼센트)1.0000.7150.9020.6880.9290.7141.0000.6920.7210.4970.4950.5170.4030.5370.5020.4240.453
메모리_낸드(억불)1.0000.8510.7210.8460.7180.7970.6921.0000.7200.5940.2790.6780.4590.7140.4760.5850.392
메모리_낸드_전년동월대비_증감률(퍼센트)1.0000.6530.8220.6220.7920.5360.7210.7201.0000.5380.6420.0000.4750.2720.5590.4940.199
메모리_MCP(억불)1.0000.8210.7050.8820.6890.7770.4970.5940.5381.0000.5970.7230.7160.5990.3910.5130.265
메모리_MCP_전년동월대비_증감률(퍼센트)1.0000.4570.7030.3680.7360.3480.4950.2790.6420.5971.0000.6850.0000.4060.5810.4570.000
시스템_반도체(억불)1.0000.8560.5450.7200.4990.7060.5170.6780.0000.7230.6851.0000.7820.6690.5100.4180.549
시스템_반도체_전년동월대비_증감률(퍼센트)1.0000.7240.6250.6370.0000.6470.4030.4590.4750.7160.0000.7821.0000.3930.5580.4000.632
개별소자(억불)1.0000.7270.5730.7560.5830.7090.5370.7140.2720.5990.4060.6690.3931.0000.6450.5050.419
개별소자_전년동월대비_증감률(퍼센트)1.0000.5480.6800.5680.7040.6990.5020.4760.5590.3910.5810.5100.5580.6451.0000.4450.474
디스플레이_패널(억불)1.0000.5570.3410.5480.3700.3080.4240.5850.4940.5130.4570.4180.4000.5050.4451.0000.417
디스플레이_패널_전년동월대비_증감률(퍼센트)1.0000.2940.4940.1450.4560.3560.4530.3920.1990.2650.0000.5490.6320.4190.4740.4171.000
2023-12-13T08:15:29.642448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
반도체(억불)반도체_전년동월대비_증감률(퍼센트)메모리(억불)메모리_전년동월대비_증감률(퍼센트)메모리_D램(억불)메모리_D램_전년동월대비_증감률(퍼센트)메모리_낸드(억불)메모리_낸드_전년동월대비_증감률(퍼센트)메모리_MCP(억불)메모리_MCP_전년동월대비_증감률(퍼센트)시스템_반도체(억불)시스템_반도체_전년동월대비_증감률(퍼센트)개별소자(억불)개별소자_전년동월대비_증감률(퍼센트)디스플레이_패널(억불)디스플레이_패널_전년동월대비_증감률(퍼센트)
반도체(억불)1.0000.4550.9530.3710.9420.4710.8970.5000.848-0.0910.7970.5680.7610.269-0.2090.343
반도체_전년동월대비_증감률(퍼센트)0.4551.0000.5220.9760.4920.9480.3220.7400.4850.5400.1920.5810.5490.3530.3560.603
메모리(억불)0.9530.5221.0000.4690.9700.5670.8760.5630.834-0.0150.6200.4560.8270.331-0.1700.294
메모리_전년동월대비_증감률(퍼센트)0.3710.9760.4691.0000.4240.9470.2440.7380.4200.5760.0580.4220.5140.3860.4160.548
메모리_D램(억불)0.9420.4920.9700.4241.0000.5740.8820.5170.754-0.1320.6440.4810.7840.271-0.1980.255
메모리_D램_전년동월대비_증감률(퍼센트)0.4710.9480.5670.9470.5741.0000.3690.7250.4480.3940.1510.4670.5600.3100.3630.471
메모리_낸드(억불)0.8970.3220.8760.2440.8820.3691.0000.5750.706-0.2400.7010.4580.6610.191-0.3190.154
메모리_낸드_전년동월대비_증감률(퍼센트)0.5000.7400.5630.7380.5170.7250.5751.0000.4550.2690.2070.3800.4740.2740.1160.294
메모리_MCP(억불)0.8480.4850.8340.4200.7540.4480.7060.4551.0000.2790.6820.5820.6570.313-0.2490.385
메모리_MCP_전년동월대비_증감률(퍼센트)-0.0910.540-0.0150.576-0.1320.394-0.2400.2690.2791.000-0.1800.1650.1020.3640.2060.307
시스템_반도체(억불)0.7970.1920.6200.0580.6440.1510.7010.2070.682-0.1801.0000.7070.5070.079-0.3080.338
시스템_반도체_전년동월대비_증감률(퍼센트)0.5680.5810.4560.4220.4810.4670.4580.3800.5820.1650.7071.0000.3950.047-0.0360.597
개별소자(억불)0.7610.5490.8270.5140.7840.5600.6610.4740.6570.1020.5070.3951.0000.474-0.1180.335
개별소자_전년동월대비_증감률(퍼센트)0.2690.3530.3310.3860.2710.3100.1910.2740.3130.3640.0790.0470.4741.000-0.0120.230
디스플레이_패널(억불)-0.2090.356-0.1700.416-0.1980.363-0.3190.116-0.2490.206-0.308-0.036-0.118-0.0121.0000.356
디스플레이_패널_전년동월대비_증감률(퍼센트)0.3430.6030.2940.5480.2550.4710.1540.2940.3850.3070.3380.5970.3350.2300.3561.000

Missing values

2023-12-13T08:15:23.865096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:15:24.105944image/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

년월반도체(억불)반도체_전년동월대비_증감률(퍼센트)메모리(억불)메모리_전년동월대비_증감률(퍼센트)메모리_D램(억불)메모리_D램_전년동월대비_증감률(퍼센트)메모리_낸드(억불)메모리_낸드_전년동월대비_증감률(퍼센트)메모리_MCP(억불)메모리_MCP_전년동월대비_증감률(퍼센트)시스템_반도체(억불)시스템_반도체_전년동월대비_증감률(퍼센트)개별소자(억불)개별소자_전년동월대비_증감률(퍼센트)디스플레이_패널(억불)디스플레이_패널_전년동월대비_증감률(퍼센트)
02015-0152.613.328.317.618.632.83.0-7.46.7-1.719.19.41.3-5.426.6-90.3
12015-0247.66.426.715.717.635.52.6-13.46.4-8.216.4-2.01.1-21.022.9-13.6
22015-0353.92.927.71.817.39.12.1-28.38.2-0.820.97.11.3-15.226.214.3
32015-0451.66.926.94.616.110.82.2-29.18.56.619.814.81.3-18.726.92.4
42015-0551.14.326.1-4.015.93.92.1-40.38.0-2.820.523.51.2-19.526.7-0.4
52015-0653.12.928.7-0.918.013.22.3-43.48.3-6.219.310.81.2-16.425.8-3.5
62015-0751.46.228.2-1.416.70.32.2-39.19.311.917.619.71.3-12.225.6-0.7
72015-0854.54.030.2-1.515.4-13.72.3-30.612.431.519.115.01.3-11.324.9-2.7
82015-0958.60.832.34.615.5-17.32.2-28.314.660.921.1-3.71.2-14.224.5-1.8
92015-1055.0-7.529.4-4.614.7-20.32.0-36.612.638.120.6-12.81.2-14.225.12.4
년월반도체(억불)반도체_전년동월대비_증감률(퍼센트)메모리(억불)메모리_전년동월대비_증감률(퍼센트)메모리_D램(억불)메모리_D램_전년동월대비_증감률(퍼센트)메모리_낸드(억불)메모리_낸드_전년동월대비_증감률(퍼센트)메모리_MCP(억불)메모리_MCP_전년동월대비_증감률(퍼센트)시스템_반도체(억불)시스템_반도체_전년동월대비_증감률(퍼센트)개별소자(억불)개별소자_전년동월대비_증감률(퍼센트)디스플레이_패널(억불)디스플레이_패널_전년동월대비_증감률(퍼센트)
862022-03131.237.982.034.038.944.47.569.630.520.044.553.64.6-5.420.948.4
872022-04108.215.863.87.632.412.77.451.419.8-10.140.136.34.3-10.317.421.9
882022-05115.415.072.810.837.127.98.036.224.1-11.938.326.74.4-4.115.20.1
892022-06123.510.777.93.338.815.07.931.125.1-22.041.833.13.8-20.215.7-5.9
902022-07112.12.161.7-13.532.7-7.07.450.618.3-32.646.940.33.5-31.117.7-2.7
912022-08107.8-7.857.5-24.727.9-25.96.28.520.8-26.446.631.03.7-26.118.4-5.7
922022-09115.0-5.666.2-16.731.1-17.76.72.024.7-18.645.120.23.7-23.317.4-19.9
932022-1092.3-17.444.7-35.720.7-41.95.7-10.016.5-30.043.817.53.8-22.918.1-7.9
942022-1184.3-29.938.4-49.718.2-51.15.2-16.613.5-55.442.38.23.6-26.118.0-15.6
952022-1290.6-29.144.4-47.224.5-40.73.5-45.814.9-52.542.79.83.5-27.513.8-35.9