Overview

Dataset statistics

Number of variables5
Number of observations408
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.3 KiB
Average record size in memory43.3 B

Variable types

Numeric3
DateTime2

Dataset

Description산림청 소관 국유림을 비롯한 국유재산 일체의 운용에 따라 발생하는 증권의 유효기간 관리를 위한 알림 목록 정보를 담고 있음
URLhttps://www.data.go.kr/data/15120304/fileData.do

Alerts

최초등록일시 has constant value ""Constant
최종수정일시 has constant value ""Constant
알림번호 is highly overall correlated with 알림일수High correlation
알림일수 is highly overall correlated with 알림번호High correlation
알림번호 has unique valuesUnique
알림일수 has 34 (8.3%) zerosZeros

Reproduction

Analysis started2023-12-12 23:07:21.789801
Analysis finished2023-12-12 23:07:23.018642
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관코드
Real number (ℝ)

Distinct34
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1400451
Minimum1400000
Maximum1400727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-13T08:07:23.108804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1400000
5-th percentile1400435
Q11400444
median1400456.5
Q31400467
95-th percentile1400482
Maximum1400727
Range727
Interquartile range (IQR)23

Descriptive statistics

Standard deviation91.796319
Coefficient of variation (CV)6.5547685 × 10-5
Kurtosis16.854693
Mean1400451
Median Absolute Deviation (MAD)11
Skewness-2.7034632
Sum5.71384 × 108
Variance8426.5642
MonotonicityNot monotonic
2023-12-13T08:07:23.285569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1400461 12
 
2.9%
1400459 12
 
2.9%
1400439 12
 
2.9%
1400727 12
 
2.9%
1400453 12
 
2.9%
1400456 12
 
2.9%
1400457 12
 
2.9%
1400458 12
 
2.9%
1400460 12
 
2.9%
1400442 12
 
2.9%
Other values (24) 288
70.6%
ValueCountFrequency (%)
1400000 12
2.9%
1400435 12
2.9%
1400438 12
2.9%
1400439 12
2.9%
1400440 12
2.9%
1400441 12
2.9%
1400442 12
2.9%
1400443 12
2.9%
1400444 12
2.9%
1400447 12
2.9%
ValueCountFrequency (%)
1400727 12
2.9%
1400482 12
2.9%
1400481 12
2.9%
1400474 12
2.9%
1400473 12
2.9%
1400472 12
2.9%
1400471 12
2.9%
1400468 12
2.9%
1400467 12
2.9%
1400466 12
2.9%

알림번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216.73529
Minimum1
Maximum432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-13T08:07:23.486480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.35
Q1108.75
median216.5
Q3324.25
95-th percentile410.95
Maximum432
Range431
Interquartile range (IQR)215.5

Descriptive statistics

Standard deviation124.88185
Coefficient of variation (CV)0.57619529
Kurtosis-1.1991747
Mean216.73529
Median Absolute Deviation (MAD)108
Skewness-3.9319125 × 10-5
Sum88428
Variance15595.478
MonotonicityStrictly increasing
2023-12-13T08:07:23.642562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
286 1
 
0.2%
296 1
 
0.2%
295 1
 
0.2%
294 1
 
0.2%
293 1
 
0.2%
292 1
 
0.2%
291 1
 
0.2%
290 1
 
0.2%
289 1
 
0.2%
Other values (398) 398
97.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
432 1
0.2%
431 1
0.2%
430 1
0.2%
429 1
0.2%
428 1
0.2%
427 1
0.2%
426 1
0.2%
425 1
0.2%
424 1
0.2%
423 1
0.2%

알림일수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum0
Maximum180
Zeros34
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-13T08:07:24.094022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.75
median5.5
Q318
95-th percentile180
Maximum180
Range180
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation49.325076
Coefficient of variation (CV)1.8971183
Kurtosis5.0840137
Mean26
Median Absolute Deviation (MAD)4
Skewness2.5155228
Sum10608
Variance2432.9631
MonotonicityDecreasing
2023-12-13T08:07:24.231287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
180 34
8.3%
60 34
8.3%
30 34
8.3%
14 34
8.3%
7 34
8.3%
6 34
8.3%
5 34
8.3%
4 34
8.3%
3 34
8.3%
2 34
8.3%
Other values (2) 68
16.7%
ValueCountFrequency (%)
0 34
8.3%
1 34
8.3%
2 34
8.3%
3 34
8.3%
4 34
8.3%
5 34
8.3%
6 34
8.3%
7 34
8.3%
14 34
8.3%
30 34
8.3%
ValueCountFrequency (%)
180 34
8.3%
60 34
8.3%
30 34
8.3%
14 34
8.3%
7 34
8.3%
6 34
8.3%
5 34
8.3%
4 34
8.3%
3 34
8.3%
2 34
8.3%

최초등록일시
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2021-01-14 00:00:00
Maximum2021-01-14 00:00:00
2023-12-13T08:07:24.363686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:24.478008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

최종수정일시
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2021-01-14 00:00:00
Maximum2021-01-14 00:00:00
2023-12-13T08:07:24.582366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:24.695655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:07:22.546669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:21.903831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:22.216563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:22.647920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:22.008844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:22.333445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:22.732139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:22.122920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:22.427128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:07:24.786346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관코드알림번호알림일수
기관코드1.0000.0000.000
알림번호0.0001.0000.890
알림일수0.0000.8901.000
2023-12-13T08:07:24.889374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관코드알림번호알림일수
기관코드1.0000.0240.000
알림번호0.0241.000-0.997
알림일수0.000-0.9971.000

Missing values

2023-12-13T08:07:22.858939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:07:22.978916image/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

기관코드알림번호알림일수최초등록일시최종수정일시
0140046111802021-01-142021-01-14
1140046421802021-01-142021-01-14
2140046531802021-01-142021-01-14
3140046641802021-01-142021-01-14
4140046751802021-01-142021-01-14
5140044461802021-01-142021-01-14
6140044771802021-01-142021-01-14
7140048181802021-01-142021-01-14
8140044891802021-01-142021-01-14
91400449101802021-01-142021-01-14
기관코드알림번호알림일수최초등록일시최종수정일시
398140045742302021-01-142021-01-14
399140045842402021-01-142021-01-14
400140045942502021-01-142021-01-14
401140046042602021-01-142021-01-14
402140046842702021-01-142021-01-14
403140047142802021-01-142021-01-14
404140047242902021-01-142021-01-14
405140047343002021-01-142021-01-14
406140048243102021-01-142021-01-14
407140047443202021-01-142021-01-14