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 4차산업에 필수 광물 종류인 망간에 대하여 망간 가격을 분기별로 예측하여 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15063763/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 16:24:59.233360
Analysis finished2023-12-12 16:24:59.585769
Duration0.35 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
망간
72 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
망간 72
100.0%

Length

2023-12-13T01:24:59.646646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:59.746901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
망간 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
2023-12-13T01:24:59.850648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:00.031062image/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%
Mean1509.6258
Minimum903.27
Maximum2942.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T01:25:00.175443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum903.27
5-th percentile1123.3875
Q11387.555
median1442.115
Q31625.1425
95-th percentile2050.775
Maximum2942.59
Range2039.32
Interquartile range (IQR)237.5875

Descriptive statistics

Standard deviation316.12771
Coefficient of variation (CV)0.20940799
Kurtosis7.5853803
Mean1509.6258
Median Absolute Deviation (MAD)107.86
Skewness2.0474033
Sum108693.06
Variance99936.727
MonotonicityNot monotonic
2023-12-13T01:25:00.353230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2111.4 1
 
1.4%
1335.48 1
 
1.4%
1368.46 1
 
1.4%
1390.2 1
 
1.4%
1159.07 1
 
1.4%
1115.77 1
 
1.4%
1241.92 1
 
1.4%
1171.15 1
 
1.4%
1196.15 1
 
1.4%
1343.46 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
903.27 1
1.4%
951.85 1
1.4%
1027.69 1
1.4%
1115.77 1
1.4%
1129.62 1
1.4%
1159.07 1
1.4%
1171.15 1
1.4%
1196.15 1
1.4%
1210.38 1
1.4%
1241.92 1
1.4%
ValueCountFrequency (%)
2942.59 1
1.4%
2705.77 1
1.4%
2111.4 1
1.4%
2067.0 1
1.4%
2037.5 1
1.4%
1760.38 1
1.4%
1753.52 1
1.4%
1745.0 1
1.4%
1742.69 1
1.4%
1726.15 1
1.4%

가격단위
Categorical

CONSTANT 

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

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
USD/ton 72
100.0%

Length

2023-12-13T01:25:00.503924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:25:00.587718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
usd/ton 72
100.0%

Interactions

2023-12-13T01:24:59.306428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:25:00.641439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전망기간예측가격
전망기간1.0001.000
예측가격1.0001.000

Missing values

2023-12-13T01:24:59.450749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:24:59.548166image/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
0망간2008-01-012111.4USD/ton
1망간2008-04-012705.77USD/ton
2망간2008-07-012942.59USD/ton
3망간2008-10-012037.5USD/ton
4망간2009-01-011681.4USD/ton
5망간2009-04-011285.58USD/ton
6망간2009-07-011442.31USD/ton
7망간2009-10-011462.59USD/ton
8망간2010-01-011614.58USD/ton
9망간2010-04-011760.38USD/ton
광종전망기간예측가격가격단위
62망간2023-07-011434.87USD/ton
63망간2023-10-011400.24USD/ton
64망간2024-01-011414.28USD/ton
65망간2024-04-011439.98USD/ton
66망간2024-07-011438.25USD/ton
67망간2024-10-011423.77USD/ton
68망간2025-01-011433.12USD/ton
69망간2025-04-011455.69USD/ton
70망간2025-07-011451.55USD/ton
71망간2025-10-011435.29USD/ton