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

Numeric2
Categorical3

Dataset

Description산림청 소관 국유림을 비롯한 국유재산 일체의 운용에 따라 발생하는 증권의 유효기간 관리를 위한 알림 대상의 유형에 대한 정보를 담고 있음
URLhttps://www.data.go.kr/data/15120306/fileData.do

Alerts

대상유형구분코드 has constant value ""Constant
최초등록일시 has constant value ""Constant
최종수정일시 has constant value ""Constant
알림대상번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:01:04.153446
Analysis finished2023-12-12 12:01:04.920057
Duration0.77 seconds
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
2023-12-12T21:01:04.995257image/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
2023-12-12T21:01:05.202690image/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%

알림대상번호
Real number (ℝ)

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
2023-12-12T21:01:05.398095image/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
2023-12-12T21:01:05.579629image/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%

대상유형구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2
408 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 408
100.0%

Length

2023-12-12T21:01:05.718469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:01:06.137394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 408
100.0%

최초등록일시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2021-01-14
408 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-14
2nd row2021-01-14
3rd row2021-01-14
4th row2021-01-14
5th row2021-01-14

Common Values

ValueCountFrequency (%)
2021-01-14 408
100.0%

Length

2023-12-12T21:01:06.259200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:01:06.403557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-14 408
100.0%

최종수정일시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2021-01-14
408 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-14
2nd row2021-01-14
3rd row2021-01-14
4th row2021-01-14
5th row2021-01-14

Common Values

ValueCountFrequency (%)
2021-01-14 408
100.0%

Length

2023-12-12T21:01:06.543690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:01:06.683440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-14 408
100.0%

Interactions

2023-12-12T21:01:04.454475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:01:04.234985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:01:04.589905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:01:04.339327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:01:06.767471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관코드알림대상번호
기관코드1.0000.000
알림대상번호0.0001.000
2023-12-12T21:01:06.883280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관코드알림대상번호
기관코드1.0000.024
알림대상번호0.0241.000

Missing values

2023-12-12T21:01:04.757342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:01:04.868648image/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

기관코드알림대상번호대상유형구분코드최초등록일시최종수정일시
01400461122021-01-142021-01-14
11400464222021-01-142021-01-14
21400465322021-01-142021-01-14
31400466422021-01-142021-01-14
41400467522021-01-142021-01-14
51400444622021-01-142021-01-14
61400447722021-01-142021-01-14
71400481822021-01-142021-01-14
81400448922021-01-142021-01-14
914004491022021-01-142021-01-14
기관코드알림대상번호대상유형구분코드최초등록일시최종수정일시
398140045742322021-01-142021-01-14
399140045842422021-01-142021-01-14
400140045942522021-01-142021-01-14
401140046042622021-01-142021-01-14
402140046842722021-01-142021-01-14
403140047142822021-01-142021-01-14
404140047242922021-01-142021-01-14
405140047343022021-01-142021-01-14
406140048243122021-01-142021-01-14
407140047443222021-01-142021-01-14