Overview

Dataset statistics

Number of variables4
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory34.8 B

Variable types

Categorical2
DateTime1
Numeric1

Dataset

Description한국광해광업공단에서는 4차산업의 핵심광물종류 중 하나인 몰리브덴의 가격을 분기단위로 예측한 데이터 자료를 제공합니다.
URLhttps://www.data.go.kr/data/15053448/fileData.do

Alerts

광종 has constant value ""Constant
가격단위 has constant value ""Constant
전망기간 has unique valuesUnique
예측가격 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:38:50.139343
Analysis finished2023-12-12 07:38:50.504531
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

광종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
몰리브덴
72 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
몰리브덴 72
100.0%

Length

2023-12-12T16:38:50.584879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:38:50.703660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
몰리브덴 72
100.0%

전망기간
Date

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2008-01-01 00:00:00
Maximum2025-10-01 00:00:00
2023-12-12T16:38:50.836667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:38:50.994867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

예측가격
Real number (ℝ)

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34823.835
Minimum12870
Maximum86807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T16:38:51.171676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12870
5-th percentile17795.736
Q124231.487
median31131.667
Q340390.241
95-th percentile77769.333
Maximum86807
Range73937
Interquartile range (IQR)16158.753

Descriptive statistics

Standard deviation16016.473
Coefficient of variation (CV)0.45992848
Kurtosis2.7242715
Mean34823.835
Median Absolute Deviation (MAD)7978.3333
Skewness1.6100875
Sum2507316.1
Variance2.5652742 × 108
MonotonicityNot monotonic
2023-12-12T16:38:51.367344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77613.33333 1
 
1.4%
21944.45 1
 
1.4%
33425.43 1
 
1.4%
27465.89 1
 
1.4%
22605.23 1
 
1.4%
19443.05 1
 
1.4%
20456.33 1
 
1.4%
24055.95 1
 
1.4%
23712.39 1
 
1.4%
28041.07 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
12870.0 1
1.4%
14342.75 1
1.4%
14943.33333 1
1.4%
17471.61 1
1.4%
18060.93 1
1.4%
18378.9 1
1.4%
19260.0 1
1.4%
19443.05 1
1.4%
20223.15 1
1.4%
20456.33 1
1.4%
ValueCountFrequency (%)
86807.0 1
1.4%
82391.84 1
1.4%
78870.0 1
1.4%
77960.0 1
1.4%
77613.33333 1
1.4%
62407.78 1
1.4%
53423.94 1
1.4%
50261.55 1
1.4%
48408.43 1
1.4%
47170.44 1
1.4%

가격단위
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
USD/kg
72 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUSD/kg
2nd rowUSD/kg
3rd rowUSD/kg
4th rowUSD/kg
5th rowUSD/kg

Common Values

ValueCountFrequency (%)
USD/kg 72
100.0%

Length

2023-12-12T16:38:51.522815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:38:51.623440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
usd/kg 72
100.0%

Interactions

2023-12-12T16:38:50.224720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:38:51.681335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전망기간예측가격
전망기간1.0001.000
예측가격1.0001.000

Missing values

2023-12-12T16:38:50.375031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:38:50.470480image/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

광종전망기간예측가격가격단위
0몰리브덴2008-01-0177613.33333USD/kg
1몰리브덴2008-04-0177960.0USD/kg
2몰리브덴2008-07-0178870.0USD/kg
3몰리브덴2008-10-0141750.0USD/kg
4몰리브덴2009-01-0128166.66667USD/kg
5몰리브덴2009-04-0130853.33333USD/kg
6몰리브덴2009-07-0137956.66667USD/kg
7몰리브덴2009-10-0134000.0USD/kg
8몰리브덴2010-01-0138783.33333USD/kg
9몰리브덴2010-04-0141336.66667USD/kg
광종전망기간예측가격가격단위
62몰리브덴2023-07-0162407.78USD/kg
63몰리브덴2023-10-0150261.55USD/kg
64몰리브덴2024-01-0144029.34USD/kg
65몰리브덴2024-04-0140299.21USD/kg
66몰리브덴2024-07-0137114.39USD/kg
67몰리브덴2024-10-0134508.82USD/kg
68몰리브덴2025-01-0133139.4USD/kg
69몰리브덴2025-04-0132527.45USD/kg
70몰리브덴2025-07-0131592.08USD/kg
71몰리브덴2025-10-0130585.87USD/kg