Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory37.4 B

Variable types

Numeric1
Categorical2
Text1

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/a6508de0-1977-4ccf-9615-30c1bf177b17

Alerts

뿌리산업구분명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
뿌리산업근무정보번호 has unique valuesUnique
뿌리산업항목명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:12:02.133273
Analysis finished2023-12-10 14:12:02.766986
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

뿌리산업근무정보번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285.5
Minimum271
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:12:03.264096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum271
5-th percentile272.45
Q1278.25
median285.5
Q3292.75
95-th percentile298.55
Maximum300
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.030835056
Kurtosis-1.2
Mean285.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum8565
Variance77.5
MonotonicityStrictly increasing
2023-12-10T23:12:03.523777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
271 1
 
3.3%
287 1
 
3.3%
300 1
 
3.3%
299 1
 
3.3%
298 1
 
3.3%
297 1
 
3.3%
296 1
 
3.3%
295 1
 
3.3%
294 1
 
3.3%
293 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
271 1
3.3%
272 1
3.3%
273 1
3.3%
274 1
3.3%
275 1
3.3%
276 1
3.3%
277 1
3.3%
278 1
3.3%
279 1
3.3%
280 1
3.3%
ValueCountFrequency (%)
300 1
3.3%
299 1
3.3%
298 1
3.3%
297 1
3.3%
296 1
3.3%
295 1
3.3%
294 1
3.3%
293 1
3.3%
292 1
3.3%
291 1
3.3%

뿌리산업구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
제조업(10~33)
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제조업(10~33)
2nd row제조업(10~33)
3rd row제조업(10~33)
4th row제조업(10~33)
5th row제조업(10~33)

Common Values

ValueCountFrequency (%)
제조업(10~33) 30
100.0%

Length

2023-12-10T23:12:03.819747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:12:04.017780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업(10~33 30
100.0%

뿌리산업항목명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:12:04.307200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13.5
Mean length10.8
Min length5

Characters and Unicode

Total characters324
Distinct characters77
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row면 방적업
2nd row모 방적업
3rd row화학섬유 방적업
4th row연사 및 가공사 제조업
5th row기타 방적업
ValueCountFrequency (%)
제조업 16
 
17.2%
및 15
 
16.1%
직조업 5
 
5.4%
방적업 4
 
4.3%
직물 3
 
3.2%
염색가공업 2
 
2.2%
편조원단 2
 
2.2%
유사제품 2
 
2.2%
기타 2
 
2.2%
겉옷 2
 
2.2%
Other values (40) 40
43.0%
2023-12-10T23:12:04.888378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
19.4%
업 30
 
9.3%
조 25
 
7.7%
제 23
 
7.1%
직 18
 
5.6%
및 16
 
4.9%
물 12
 
3.7%
사 7
 
2.2%
품 7
 
2.2%
유 6
 
1.9%
Other values (67) 117
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 260
80.2%
Space Separator 63
 
19.4%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 30
 
11.5%
조 25
 
9.6%
제 23
 
8.8%
직 18
 
6.9%
및 16
 
6.2%
물 12
 
4.6%
사 7
 
2.7%
품 7
 
2.7%
유 6
 
2.3%
가 5
 
1.9%
Other values (65) 111
42.7%
Space Separator
ValueCountFrequency (%)
63
100.0%
Other Punctuation
ValueCountFrequency (%)
; 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260
80.2%
Common 64
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 30
 
11.5%
조 25
 
9.6%
제 23
 
8.8%
직 18
 
6.9%
및 16
 
6.2%
물 12
 
4.6%
사 7
 
2.7%
품 7
 
2.7%
유 6
 
2.3%
가 5
 
1.9%
Other values (65) 111
42.7%
Common
ValueCountFrequency (%)
63
98.4%
; 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 260
80.2%
ASCII 64
 
19.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
98.4%
; 1
 
1.6%
Hangul
ValueCountFrequency (%)
업 30
 
11.5%
조 25
 
9.6%
제 23
 
8.8%
직 18
 
6.9%
및 16
 
6.2%
물 12
 
4.6%
사 7
 
2.7%
품 7
 
2.7%
유 6
 
2.3%
가 5
 
1.9%
Other values (65) 111
42.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2020-01-01
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-01-01
2nd row2020-01-01
3rd row2020-01-01
4th row2020-01-01
5th row2020-01-01

Common Values

ValueCountFrequency (%)
2020-01-01 30
100.0%

Length

2023-12-10T23:12:05.182483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:12:05.345490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-01-01 30
100.0%

Interactions

2023-12-10T23:12:02.303327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:12:05.473630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
뿌리산업근무정보번호뿌리산업항목명
뿌리산업근무정보번호1.0001.000
뿌리산업항목명1.0001.000

Missing values

2023-12-10T23:12:02.540161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:12:02.702647image/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

뿌리산업근무정보번호뿌리산업구분명뿌리산업항목명데이터기준일자
0271제조업(10~33)면 방적업2020-01-01
1272제조업(10~33)모 방적업2020-01-01
2273제조업(10~33)화학섬유 방적업2020-01-01
3274제조업(10~33)연사 및 가공사 제조업2020-01-01
4275제조업(10~33)기타 방적업2020-01-01
5276제조업(10~33)면직물 직조업2020-01-01
6277제조업(10~33)모직물 직조업2020-01-01
7278제조업(10~33)화학섬유직물 직조업2020-01-01
8279제조업(10~33)견직물 직조업2020-01-01
9280제조업(10~33)특수직물 및 기타직물 직조업2020-01-01
뿌리산업근무정보번호뿌리산업구분명뿌리산업항목명데이터기준일자
20291제조업(10~33)섬유사 및 직물 호부처리업2020-01-01
21292제조업(10~33)카펫;마루덮개및유사제품제조업2020-01-01
22293제조업(10~33)끈 및 로프 제조업2020-01-01
23294제조업(10~33)어망 및 기타 끈가공품 제조업2020-01-01
24295제조업(10~33)세폭직물 제조업2020-01-01
25296제조업(10~33)부직포 및 펠트 제조업2020-01-01
26297제조업(10~33)특수사 및 코드직물 제조업2020-01-01
27298제조업(10~33)적층 및 표면처리 직물 제조업2020-01-01
28299제조업(10~33)남자용 겉옷 제조업2020-01-01
29300제조업(10~33)여자용 겉옷 제조업2020-01-01