Overview

Dataset statistics

Number of variables7
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory63.3 B

Variable types

Numeric3
Categorical2
Text1
DateTime1

Dataset

Description경상북도 김천시 일반화물자동차운송사업자 관련 데이터로 김천시 관내 일반화물자동차운송사업자 업체명 및 주소 등의 정보를 제공합니다.
Author경상북도 김천시
URLhttps://www.data.go.kr/data/15127086/fileData.do

Alerts

면허종류 has constant value ""Constant
운영여부 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:13:18.386386
Analysis finished2024-03-16 04:13:20.837165
Duration2.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-03-16T13:13:20.926398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-03-16T13:13:21.130891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

면허종류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
일반화물자동차운송사업
31 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반화물자동차운송사업 31
100.0%

Length

2024-03-16T13:13:21.358110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:13:21.506937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물자동차운송사업 31
100.0%

주소
Text

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-03-16T13:13:21.760583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26
Mean length23.258065
Min length19

Characters and Unicode

Total characters721
Distinct characters87
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)61.3%

Sample

1st row경상북도 김천시 어모면 산업단지1로 34-6
2nd row경상북도 김천시 대학로 114, 2층 (교동)
3rd row경상북도 김천시 평화장미2길 50 (평화동)
4th row경상북도 김천시 농소면 벽소로 2119
5th row경상북도 김천시 어모면 어모로 95
ValueCountFrequency (%)
경상북도 31
18.8%
김천시 31
18.8%
아포읍 7
 
4.2%
금계길 7
 
4.2%
중앙시장길 4
 
2.4%
38 4
 
2.4%
1층 4
 
2.4%
모암동 4
 
2.4%
35 4
 
2.4%
어모면 4
 
2.4%
Other values (49) 65
39.4%
2024-03-16T13:13:22.324607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
18.6%
시 35
 
4.9%
경 32
 
4.4%
천 32
 
4.4%
김 31
 
4.3%
상 31
 
4.3%
도 31
 
4.3%
북 31
 
4.3%
1 24
 
3.3%
3 21
 
2.9%
Other values (77) 319
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 441
61.2%
Space Separator 134
 
18.6%
Decimal Number 94
 
13.0%
Open Punctuation 19
 
2.6%
Close Punctuation 19
 
2.6%
Other Punctuation 9
 
1.2%
Dash Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 35
 
7.9%
경 32
 
7.3%
천 32
 
7.3%
김 31
 
7.0%
상 31
 
7.0%
도 31
 
7.0%
북 31
 
7.0%
동 19
 
4.3%
길 18
 
4.1%
로 13
 
2.9%
Other values (62) 168
38.1%
Decimal Number
ValueCountFrequency (%)
1 24
25.5%
3 21
22.3%
2 13
13.8%
5 8
 
8.5%
9 6
 
6.4%
4 6
 
6.4%
0 5
 
5.3%
8 5
 
5.3%
7 4
 
4.3%
6 2
 
2.1%
Space Separator
ValueCountFrequency (%)
134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 441
61.2%
Common 280
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 35
 
7.9%
경 32
 
7.3%
천 32
 
7.3%
김 31
 
7.0%
상 31
 
7.0%
도 31
 
7.0%
북 31
 
7.0%
동 19
 
4.3%
길 18
 
4.1%
로 13
 
2.9%
Other values (62) 168
38.1%
Common
ValueCountFrequency (%)
134
47.9%
1 24
 
8.6%
3 21
 
7.5%
( 19
 
6.8%
) 19
 
6.8%
2 13
 
4.6%
, 9
 
3.2%
5 8
 
2.9%
9 6
 
2.1%
4 6
 
2.1%
Other values (5) 21
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
61.2%
ASCII 280
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
47.9%
1 24
 
8.6%
3 21
 
7.5%
( 19
 
6.8%
) 19
 
6.8%
2 13
 
4.6%
, 9
 
3.2%
5 8
 
2.9%
9 6
 
2.1%
4 6
 
2.1%
Other values (5) 21
 
7.5%
Hangul
ValueCountFrequency (%)
시 35
 
7.9%
경 32
 
7.3%
천 32
 
7.3%
김 31
 
7.0%
상 31
 
7.0%
도 31
 
7.0%
북 31
 
7.0%
동 19
 
4.3%
길 18
 
4.1%
로 13
 
2.9%
Other values (62) 168
38.1%

위도
Real number (ℝ)

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.134216
Minimum36.084951
Maximum36.166155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-03-16T13:13:22.516800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.084951
5-th percentile36.105548
Q136.120817
median36.132071
Q336.151257
95-th percentile36.162361
Maximum36.166155
Range0.08120378
Interquartile range (IQR)0.03044067

Descriptive statistics

Standard deviation0.019384551
Coefficient of variation (CV)0.00053645971
Kurtosis0.14556877
Mean36.134216
Median Absolute Deviation (MAD)0.01302804
Skewness-0.43976297
Sum1120.1607
Variance0.00037576082
MonotonicityNot monotonic
2024-03-16T13:13:22.717194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
36.15125736 4
 
12.9%
36.11904258 4
 
12.9%
36.1225908 2
 
6.5%
36.15134477 2
 
6.5%
36.15522876 1
 
3.2%
36.11686111 1
 
3.2%
36.12724364 1
 
3.2%
36.12775003 1
 
3.2%
36.08495138 1
 
3.2%
36.13284127 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
36.08495138 1
 
3.2%
36.09423425 1
 
3.2%
36.11686111 1
 
3.2%
36.11710452 1
 
3.2%
36.11904258 4
12.9%
36.1225908 2
6.5%
36.12463609 1
 
3.2%
36.12615604 1
 
3.2%
36.12724364 1
 
3.2%
36.12775003 1
 
3.2%
ValueCountFrequency (%)
36.16615516 1
 
3.2%
36.16494966 1
 
3.2%
36.15977245 1
 
3.2%
36.15522876 1
 
3.2%
36.15134477 2
6.5%
36.15125736 4
12.9%
36.15051738 1
 
3.2%
36.14463549 1
 
3.2%
36.13798034 1
 
3.2%
36.1367301 1
 
3.2%

경도
Real number (ℝ)

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.15003
Minimum128.0695
Maximum128.27824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-03-16T13:13:23.007610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.0695
5-th percentile128.08127
Q1128.09804
median128.12578
Q3128.16129
95-th percentile128.27824
Maximum128.27824
Range0.2087405
Interquartile range (IQR)0.06325175

Descriptive statistics

Standard deviation0.072246444
Coefficient of variation (CV)0.00056376454
Kurtosis-0.49136169
Mean128.15003
Median Absolute Deviation (MAD)0.0284654
Skewness1.0592734
Sum3972.651
Variance0.0052195487
MonotonicityNot monotonic
2024-03-16T13:13:23.193144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
128.2782426 4
 
12.9%
128.1257839 4
 
12.9%
128.0893404 2
 
6.5%
128.2716083 2
 
6.5%
128.117896 1
 
3.2%
128.1343005 1
 
3.2%
128.073192 1
 
3.2%
128.0959789 1
 
3.2%
128.1017668 1
 
3.2%
128.0973185 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
128.0695021 1
3.2%
128.073192 1
3.2%
128.0893404 2
6.5%
128.0902093 1
3.2%
128.0920344 1
3.2%
128.0959789 1
3.2%
128.0973185 1
3.2%
128.0987616 1
3.2%
128.1017668 1
3.2%
128.1147412 1
3.2%
ValueCountFrequency (%)
128.2782426 4
12.9%
128.2716083 2
6.5%
128.2708164 1
 
3.2%
128.184446 1
 
3.2%
128.1381376 1
 
3.2%
128.1374487 1
 
3.2%
128.1343005 1
 
3.2%
128.1342454 1
 
3.2%
128.1303597 1
 
3.2%
128.1257839 4
12.9%

운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
운영중
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 31
100.0%

Length

2024-03-16T13:13:23.353091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:13:23.486463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 31
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2024-03-12 00:00:00
Maximum2024-03-12 00:00:00
2024-03-16T13:13:23.612329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:23.752765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-16T13:13:19.719193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:18.630109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:19.179755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:19.880776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:18.772120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:19.419378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:20.424151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:18.963251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:19.588437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:13:23.848828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주소위도경도
연번1.0000.7060.3410.000
주소0.7061.0001.0001.000
위도0.3411.0001.0000.917
경도0.0001.0000.9171.000
2024-03-16T13:13:23.939585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.0250.257
위도0.0251.0000.280
경도0.2570.2801.000

Missing values

2024-03-16T13:13:20.610327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:13:20.776234image/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

연번면허종류주소위도경도운영여부데이터기준일
01일반화물자동차운송사업경상북도 김천시 어모면 산업단지1로 34-636.155229128.117896운영중2024-03-12
12일반화물자동차운송사업경상북도 김천시 대학로 114, 2층 (교동)36.13673128.092034운영중2024-03-12
23일반화물자동차운송사업경상북도 김천시 평화장미2길 50 (평화동)36.126156128.114741운영중2024-03-12
34일반화물자동차운송사업경상북도 김천시 농소면 벽소로 211936.094234128.184446운영중2024-03-12
45일반화물자동차운송사업경상북도 김천시 어모면 어모로 9536.166155128.115123운영중2024-03-12
56일반화물자동차운송사업경상북도 김천시 중앙시장길 38, 1층 (모암동)36.119043128.125784운영중2024-03-12
67일반화물자동차운송사업경상북도 김천시 대학로 33 (교동)36.131795128.098762운영중2024-03-12
78일반화물자동차운송사업경상북도 김천시 어모면 어모로 2336.159772128.116714운영중2024-03-12
89일반화물자동차운송사업경상북도 김천시 문지왈길 27, 3층 (부곡동)36.122591128.08934운영중2024-03-12
910일반화물자동차운송사업경상북도 김천시 황산로 30 (지좌동)36.117105128.134245운영중2024-03-12
연번면허종류주소위도경도운영여부데이터기준일
2122일반화물자동차운송사업경상북도 김천시 환경로 109 (신음동)36.132071128.138138운영중2024-03-12
2223일반화물자동차운송사업경상북도 김천시 아포읍 금계길 191-936.150517128.270816운영중2024-03-12
2324일반화물자동차운송사업경상북도 김천시 대학로 49 (교동)36.132841128.097319운영중2024-03-12
2425일반화물자동차운송사업경상북도 김천시 배나무골길 13 (양천동)36.084951128.101767운영중2024-03-12
2526일반화물자동차운송사업경상북도 김천시 아포읍 금계길 3536.151257128.278243운영중2024-03-12
2627일반화물자동차운송사업경상북도 김천시 아포읍 금계길 3536.151257128.278243운영중2024-03-12
2728일반화물자동차운송사업경상북도 김천시 아포읍 금계길 17136.151345128.271608운영중2024-03-12
2829일반화물자동차운송사업경상북도 김천시 영남대로 1462-1 (부곡동)36.12775128.095979운영중2024-03-12
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