Overview

Dataset statistics

Number of variables5
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory44.1 B

Variable types

Categorical2
DateTime1
Numeric2

Dataset

Description4차산업 원료광물인 리튬의 국내 수급 리스크의 표준척도로서 수급위기(0~1&위기발생), 수급불안 (0~5), 수급주의 (5~20), 수급안정 (20~80), 공급과잉(80~100) 지수를 제공합니다. 수급안정화지수는 광종별 중장기 가격리스크, 세계 수급비율(공급/소비), 세계 공급(매장)편중도, 국내 수입증가율, 국내 수입국 편중도 등을 반영한 수급리스크의 표준척도 입니다.
URLhttps://www.data.go.kr/data/15104264/fileData.do

Alerts

광종 has constant value ""Constant
가격단위 has constant value ""Constant
수급안정화지수 is highly overall correlated with 실질가격(탄산리튬 중국 내수가격)High correlation
실질가격(탄산리튬 중국 내수가격) is highly overall correlated with 수급안정화지수High correlation
기간 has unique valuesUnique
수급안정화지수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:57:39.822555
Analysis finished2023-12-12 08:57:40.611885
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

광종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
리튬
63 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
리튬 63
100.0%

Length

2023-12-12T17:57:40.698915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:57:40.822641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
리튬 63
100.0%

기간
Date

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2018-01-01 00:00:00
Maximum2023-03-01 00:00:00
2023-12-12T17:57:40.958384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:57:41.173075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수급안정화지수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.525447
Minimum1.494917
Maximum70.783676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T17:57:41.369104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.494917
5-th percentile2.782356
Q19.7684152
median40.144639
Q358.835874
95-th percentile70.042891
Maximum70.783676
Range69.288759
Interquartile range (IQR)49.067459

Descriptive statistics

Standard deviation24.385607
Coefficient of variation (CV)0.68642645
Kurtosis-1.4730197
Mean35.525447
Median Absolute Deviation (MAD)26.30802
Skewness0.028616882
Sum2238.1032
Variance594.65782
MonotonicityNot monotonic
2023-12-12T17:57:41.647903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.480432173 1
 
1.6%
5.072714781 1
 
1.6%
67.73875108 1
 
1.6%
62.95063052 1
 
1.6%
49.83361549 1
 
1.6%
40.14463879 1
 
1.6%
32.60285807 1
 
1.6%
31.56342591 1
 
1.6%
32.46448804 1
 
1.6%
40.40962225 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1.49491703 1
1.6%
1.936607938 1
1.6%
1.99805019 1
1.6%
2.741413223 1
1.6%
3.15084061 1
1.6%
4.204662714 1
1.6%
4.480432173 1
1.6%
5.054811348 1
1.6%
5.072714781 1
1.6%
5.791874655 1
1.6%
ValueCountFrequency (%)
70.78367581 1
1.6%
70.47606866 1
1.6%
70.41107969 1
1.6%
70.07211988 1
1.6%
69.77982887 1
1.6%
69.67028216 1
1.6%
68.43999542 1
1.6%
68.13568388 1
1.6%
68.00172028 1
1.6%
67.73875108 1
1.6%

실질가격(탄산리튬 중국 내수가격)
Real number (ℝ)

HIGH CORRELATION 

Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.36545
Minimum32.845897
Maximum568.20661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T17:57:41.871536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.845897
5-th percentile33.252138
Q151.328933
median81.554083
Q3200.66265
95-th percentile480.71601
Maximum568.20661
Range535.36071
Interquartile range (IQR)149.33371

Descriptive statistics

Standard deviation165.00459
Coefficient of variation (CV)0.99781784
Kurtosis-0.06916166
Mean165.36545
Median Absolute Deviation (MAD)44.318466
Skewness1.2278037
Sum10418.023
Variance27226.516
MonotonicityNot monotonic
2023-12-12T17:57:42.118487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.55408332 2
 
3.2%
149.6676578 2
 
3.2%
152.4227856 1
 
1.6%
314.6539175 1
 
1.6%
36.16706725 1
 
1.6%
42.44359848 1
 
1.6%
58.97593688 1
 
1.6%
71.87629169 1
 
1.6%
82.20061637 1
 
1.6%
83.41286584 1
 
1.6%
Other values (51) 51
81.0%
ValueCountFrequency (%)
32.84589658 1
1.6%
32.90365607 1
1.6%
33.14432061 1
1.6%
33.19245352 1
1.6%
33.78930158 1
1.6%
35.16590276 1
1.6%
36.16706725 1
1.6%
37.23561781 1
1.6%
37.42814944 1
1.6%
37.44740261 1
1.6%
ValueCountFrequency (%)
568.2066082 1
1.6%
526.7432858 1
1.6%
517.6849916 1
1.6%
482.2771041 1
1.6%
466.666213 1
1.6%
462.897724 1
1.6%
453.4317569 1
1.6%
451.4928245 1
1.6%
449.7428138 1
1.6%
445.0004025 1
1.6%

가격단위
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
RMB/kg
63 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
RMB/kg 63
100.0%

Length

2023-12-12T17:57:42.315424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:57:42.452921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
rmb/kg 63
100.0%

Interactions

2023-12-12T17:57:40.162943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:57:39.929421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:57:40.280618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:57:40.057374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:57:42.558840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기간수급안정화지수실질가격(탄산리튬 중국 내수가격)
기간1.0001.0001.000
수급안정화지수1.0001.0000.853
실질가격(탄산리튬 중국 내수가격)1.0000.8531.000
2023-12-12T17:57:42.695208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수급안정화지수실질가격(탄산리튬 중국 내수가격)
수급안정화지수1.000-0.916
실질가격(탄산리튬 중국 내수가격)-0.9161.000

Missing values

2023-12-12T17:57:40.429634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:57:40.567189image/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

광종기간수급안정화지수실질가격(탄산리튬 중국 내수가격)가격단위
0리튬2018-01-014.480432152.422786RMB/kg
1리튬2018-02-015.072715149.667658RMB/kg
2리튬2018-03-015.054811149.667658RMB/kg
3리튬2018-04-016.118412142.417321RMB/kg
4리튬2018-05-017.711654134.980548RMB/kg
5리튬2018-06-0113.930814114.503526RMB/kg
6리튬2018-07-0121.97050898.542429RMB/kg
7리튬2018-08-0132.02620483.151RMB/kg
8리튬2018-09-0137.52452775.641724RMB/kg
9리튬2018-10-0141.66209970.804713RMB/kg
광종기간수급안정화지수실질가격(탄산리튬 중국 내수가격)가격단위
53리튬2022-06-018.207749451.492824RMB/kg
54리튬2022-07-018.410156453.431757RMB/kg
55리튬2022-08-018.303806462.897724RMB/kg
56리튬2022-09-0115.225591482.277104RMB/kg
57리튬2022-10-0112.325806526.743286RMB/kg
58리튬2022-11-019.936781568.206608RMB/kg
59리튬2022-12-0113.780471517.684992RMB/kg
60리튬2023-01-0120.236112445.000403RMB/kg
61리튬2023-02-0126.290953391.41924RMB/kg
62리튬2023-03-0146.180899262.175101RMB/kg