Overview

Dataset statistics

Number of variables3
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory678.0 B
Average record size in memory32.3 B

Variable types

Text1
Numeric2

Dataset

Description강원특별자치도 강릉시 읍면동별 사업체 종사자수로 읍면동, 사업체수(개), 종사자수(명)의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15117086/fileData.do

Alerts

사업체수(개) is highly overall correlated with 종사자수(명) High correlation
종사자수(명) is highly overall correlated with 사업체수(개)High correlation
읍면동 has unique valuesUnique
사업체수(개) has unique valuesUnique
종사자수(명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:39:58.031345
Analysis finished2023-12-12 22:39:58.532562
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T07:39:58.639874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1428571
Min length3

Characters and Unicode

Total characters66
Distinct characters33
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row주문진읍
2nd row성산면
3rd row왕산면
4th row구정면
5th row강동면
ValueCountFrequency (%)
주문진읍 1
 
4.8%
교1동 1
 
4.8%
성덕동 1
 
4.8%
강남동 1
 
4.8%
내곡동 1
 
4.8%
송정동 1
 
4.8%
초당동 1
 
4.8%
포남2동 1
 
4.8%
포남1동 1
 
4.8%
교2동 1
 
4.8%
Other values (11) 11
52.4%
2023-12-13T07:39:58.943622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 14
21.2%
면 7
 
10.6%
포 3
 
4.5%
남 3
 
4.5%
강 2
 
3.0%
1 2
 
3.0%
2 2
 
3.0%
곡 2
 
3.0%
천 2
 
3.0%
옥 2
 
3.0%
Other values (23) 27
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
93.9%
Decimal Number 4
 
6.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 14
22.6%
면 7
 
11.3%
포 3
 
4.8%
남 3
 
4.8%
강 2
 
3.2%
곡 2
 
3.2%
천 2
 
3.2%
옥 2
 
3.2%
교 2
 
3.2%
정 2
 
3.2%
Other values (21) 23
37.1%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
93.9%
Common 4
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 14
22.6%
면 7
 
11.3%
포 3
 
4.8%
남 3
 
4.8%
강 2
 
3.2%
곡 2
 
3.2%
천 2
 
3.2%
옥 2
 
3.2%
교 2
 
3.2%
정 2
 
3.2%
Other values (21) 23
37.1%
Common
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
93.9%
ASCII 4
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 14
22.6%
면 7
 
11.3%
포 3
 
4.8%
남 3
 
4.8%
강 2
 
3.2%
곡 2
 
3.2%
천 2
 
3.2%
옥 2
 
3.2%
교 2
 
3.2%
정 2
 
3.2%
Other values (21) 23
37.1%
ASCII
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%

사업체수(개)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1382.5714
Minimum202
Maximum2863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T07:39:59.051668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202
5-th percentile438
Q1759
median1314
Q31742
95-th percentile2733
Maximum2863
Range2661
Interquartile range (IQR)983

Descriptive statistics

Standard deviation827.79971
Coefficient of variation (CV)0.5987392
Kurtosis-0.90272034
Mean1382.5714
Median Absolute Deviation (MAD)555
Skewness0.50151915
Sum29034
Variance685252.36
MonotonicityNot monotonic
2023-12-13T07:39:59.150520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2563 1
 
4.8%
438 1
 
4.8%
1511 1
 
4.8%
2171 1
 
4.8%
1516 1
 
4.8%
1253 1
 
4.8%
759 1
 
4.8%
618 1
 
4.8%
1507 1
 
4.8%
2694 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
202 1
4.8%
438 1
4.8%
468 1
4.8%
559 1
4.8%
618 1
4.8%
759 1
4.8%
767 1
4.8%
852 1
4.8%
874 1
4.8%
1253 1
4.8%
ValueCountFrequency (%)
2863 1
4.8%
2733 1
4.8%
2694 1
4.8%
2563 1
4.8%
2171 1
4.8%
1742 1
4.8%
1630 1
4.8%
1516 1
4.8%
1511 1
4.8%
1507 1
4.8%

종사자수(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4714.0476
Minimum488
Maximum8961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T07:39:59.243636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum488
5-th percentile1463
Q12663
median4777
Q36789
95-th percentile7749
Maximum8961
Range8473
Interquartile range (IQR)4126

Descriptive statistics

Standard deviation2396.8107
Coefficient of variation (CV)0.50844007
Kurtosis-1.1147291
Mean4714.0476
Median Absolute Deviation (MAD)2114
Skewness0.055506098
Sum98995
Variance5744701.5
MonotonicityNot monotonic
2023-12-13T07:39:59.352971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7544 1
 
4.8%
1463 1
 
4.8%
7749 1
 
4.8%
6789 1
 
4.8%
4339 1
 
4.8%
4777 1
 
4.8%
2663 1
 
4.8%
2509 1
 
4.8%
5508 1
 
4.8%
7690 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
488 1
4.8%
1463 1
4.8%
2242 1
4.8%
2472 1
4.8%
2509 1
4.8%
2663 1
4.8%
2832 1
4.8%
3095 1
4.8%
3521 1
4.8%
4339 1
4.8%
ValueCountFrequency (%)
8961 1
4.8%
7749 1
4.8%
7690 1
4.8%
7544 1
4.8%
7180 1
4.8%
6789 1
4.8%
6046 1
4.8%
5864 1
4.8%
5508 1
4.8%
5263 1
4.8%

Interactions

2023-12-13T07:39:58.279052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:39:58.139230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:39:58.345963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:39:58.212231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:39:59.437516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동사업체수(개)종사자수(명)
읍면동1.0001.0001.000
사업체수(개)1.0001.0000.753
종사자수(명)1.0000.7531.000
2023-12-13T07:39:59.526294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업체수(개)종사자수(명)
사업체수(개)1.0000.922
종사자수(명)0.9221.000

Missing values

2023-12-13T07:39:58.436518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:39:58.505888image/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

읍면동사업체수(개)종사자수(명)
0주문진읍25637544
1성산면4381463
2왕산면202488
3구정면5592832
4강동면7673095
5옥계면4682242
6사천면8745263
7연곡면8522472
8홍제동16306046
9중앙동27337180
읍면동사업체수(개)종사자수(명)
11교1동28638961
12교2동13143521
13포남1동26947690
14포남2동15075508
15초당동6182509
16송정동7592663
17내곡동12534777
18강남동15164339
19성덕동21716789
20경포동15117749