Overview

Dataset statistics

Number of variables7
Number of observations6743
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory388.6 KiB
Average record size in memory59.0 B

Variable types

Numeric3
Categorical2
Text2

Dataset

Description울산광역시 중구 가로등정보에 대한 데이터로 연번, 그룹, 분전함표찰, 등주표찰 , 위도 , 경도 등의 정보를 제공합니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15127435/fileData.do

Alerts

그룹 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:31:09.411459
Analysis finished2024-04-06 08:31:13.038445
Duration3.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct6743
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3372
Minimum1
Maximum6743
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.4 KiB
2024-04-06T17:31:13.451638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile338.1
Q11686.5
median3372
Q35057.5
95-th percentile6405.9
Maximum6743
Range6742
Interquartile range (IQR)3371

Descriptive statistics

Standard deviation1946.6808
Coefficient of variation (CV)0.57730746
Kurtosis-1.2
Mean3372
Median Absolute Deviation (MAD)1686
Skewness0
Sum22737396
Variance3789566
MonotonicityStrictly increasing
2024-04-06T17:31:15.223818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4480 1
 
< 0.1%
4504 1
 
< 0.1%
4503 1
 
< 0.1%
4502 1
 
< 0.1%
4501 1
 
< 0.1%
4500 1
 
< 0.1%
4499 1
 
< 0.1%
4498 1
 
< 0.1%
4497 1
 
< 0.1%
Other values (6733) 6733
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6743 1
< 0.1%
6742 1
< 0.1%
6741 1
< 0.1%
6740 1
< 0.1%
6739 1
< 0.1%
6738 1
< 0.1%
6737 1
< 0.1%
6736 1
< 0.1%
6735 1
< 0.1%
6734 1
< 0.1%

그룹
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.8 KiB
중구
6743 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 6743
100.0%

Length

2024-04-06T17:31:15.624195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:31:15.860304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 6743
100.0%

분전함표찰
Text

Distinct352
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size52.8 KiB
2024-04-06T17:31:16.396225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.0468634
Min length4

Characters and Unicode

Total characters40774
Distinct characters124
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row내황길 1
2nd row내황길 1
3rd row내황길 1
4th row내황길 1
5th row내황길 1
ValueCountFrequency (%)
혁신도시 1806
 
15.1%
1 926
 
7.8%
2 626
 
5.2%
3 466
 
3.9%
5 411
 
3.4%
6 277
 
2.3%
번영로 230
 
1.9%
7 208
 
1.7%
남외로 186
 
1.6%
다전로 184
 
1.5%
Other values (196) 6611
55.4%
2024-04-06T17:31:17.263006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5202
 
12.8%
로 3643
 
8.9%
1 2328
 
5.7%
신 1928
 
4.7%
도 1885
 
4.6%
시 1834
 
4.5%
혁 1806
 
4.4%
2 1621
 
4.0%
3 1075
 
2.6%
5 920
 
2.3%
Other values (114) 18532
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26531
65.1%
Decimal Number 8936
 
21.9%
Space Separator 5202
 
12.8%
Uppercase Letter 105
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3643
 
13.7%
신 1928
 
7.3%
도 1885
 
7.1%
시 1834
 
6.9%
혁 1806
 
6.8%
교 670
 
2.5%
산 647
 
2.4%
북 619
 
2.3%
부 569
 
2.1%
길 529
 
2.0%
Other values (100) 12401
46.7%
Decimal Number
ValueCountFrequency (%)
1 2328
26.1%
2 1621
18.1%
3 1075
12.0%
5 920
 
10.3%
6 738
 
8.3%
4 669
 
7.5%
7 635
 
7.1%
0 357
 
4.0%
9 300
 
3.4%
8 293
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
M 35
33.3%
B 35
33.3%
C 35
33.3%
Space Separator
ValueCountFrequency (%)
5202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26531
65.1%
Common 14138
34.7%
Latin 105
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3643
 
13.7%
신 1928
 
7.3%
도 1885
 
7.1%
시 1834
 
6.9%
혁 1806
 
6.8%
교 670
 
2.5%
산 647
 
2.4%
북 619
 
2.3%
부 569
 
2.1%
길 529
 
2.0%
Other values (100) 12401
46.7%
Common
ValueCountFrequency (%)
5202
36.8%
1 2328
16.5%
2 1621
 
11.5%
3 1075
 
7.6%
5 920
 
6.5%
6 738
 
5.2%
4 669
 
4.7%
7 635
 
4.5%
0 357
 
2.5%
9 300
 
2.1%
Latin
ValueCountFrequency (%)
M 35
33.3%
B 35
33.3%
C 35
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26531
65.1%
ASCII 14243
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5202
36.5%
1 2328
16.3%
2 1621
 
11.4%
3 1075
 
7.5%
5 920
 
6.5%
6 738
 
5.2%
4 669
 
4.7%
7 635
 
4.5%
0 357
 
2.5%
9 300
 
2.1%
Other values (4) 398
 
2.8%
Hangul
ValueCountFrequency (%)
로 3643
 
13.7%
신 1928
 
7.3%
도 1885
 
7.1%
시 1834
 
6.9%
혁 1806
 
6.8%
교 670
 
2.5%
산 647
 
2.4%
북 619
 
2.3%
부 569
 
2.1%
길 529
 
2.0%
Other values (100) 12401
46.7%

등주표찰
Text

Distinct6737
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size52.8 KiB
2024-04-06T17:31:17.920012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.8721637
Min length6

Characters and Unicode

Total characters53082
Distinct characters136
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6731 ?
Unique (%)99.8%

Sample

1st row내황길 1-1
2nd row내황길 1-2
3rd row내황길 1-3
4th row내황길 1-4
5th row내황길 1-5
ValueCountFrequency (%)
반구로 48
 
0.7%
mbc사거리 35
 
0.5%
동천강산책로 32
 
0.5%
강북로 30
 
0.4%
혁신도시 25
 
0.4%
외솔큰길 25
 
0.4%
내황길 14
 
0.2%
젊음의 8
 
0.1%
자전거 6
 
0.1%
동천강 6
 
0.1%
Other values (6693) 6754
96.7%
2024-04-06T17:31:18.754807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6713
 
12.6%
1 5612
 
10.6%
로 3639
 
6.9%
2 3346
 
6.3%
3 2097
 
4.0%
신 1927
 
3.6%
도 1885
 
3.6%
시 1834
 
3.5%
혁 1806
 
3.4%
5 1642
 
3.1%
Other values (126) 22581
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26563
50.0%
Decimal Number 19457
36.7%
Dash Punctuation 6713
 
12.6%
Space Separator 240
 
0.5%
Uppercase Letter 105
 
0.2%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3639
 
13.7%
신 1927
 
7.3%
도 1885
 
7.1%
시 1834
 
6.9%
혁 1806
 
6.8%
교 670
 
2.5%
산 647
 
2.4%
북 619
 
2.3%
부 569
 
2.1%
길 523
 
2.0%
Other values (109) 12444
46.8%
Decimal Number
ValueCountFrequency (%)
1 5612
28.8%
2 3346
17.2%
3 2097
 
10.8%
5 1642
 
8.4%
4 1450
 
7.5%
6 1409
 
7.2%
7 1265
 
6.5%
8 896
 
4.6%
0 882
 
4.5%
9 858
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
C 35
33.3%
B 35
33.3%
M 35
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 6713
100.0%
Space Separator
ValueCountFrequency (%)
240
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26563
50.0%
Common 26414
49.8%
Latin 105
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3639
 
13.7%
신 1927
 
7.3%
도 1885
 
7.1%
시 1834
 
6.9%
혁 1806
 
6.8%
교 670
 
2.5%
산 647
 
2.4%
북 619
 
2.3%
부 569
 
2.1%
길 523
 
2.0%
Other values (109) 12444
46.8%
Common
ValueCountFrequency (%)
- 6713
25.4%
1 5612
21.2%
2 3346
12.7%
3 2097
 
7.9%
5 1642
 
6.2%
4 1450
 
5.5%
6 1409
 
5.3%
7 1265
 
4.8%
8 896
 
3.4%
0 882
 
3.3%
Other values (4) 1102
 
4.2%
Latin
ValueCountFrequency (%)
C 35
33.3%
B 35
33.3%
M 35
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26563
50.0%
ASCII 26519
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6713
25.3%
1 5612
21.2%
2 3346
12.6%
3 2097
 
7.9%
5 1642
 
6.2%
4 1450
 
5.5%
6 1409
 
5.3%
7 1265
 
4.8%
8 896
 
3.4%
0 882
 
3.3%
Other values (7) 1207
 
4.6%
Hangul
ValueCountFrequency (%)
로 3639
 
13.7%
신 1927
 
7.3%
도 1885
 
7.1%
시 1834
 
6.9%
혁 1806
 
6.8%
교 670
 
2.5%
산 647
 
2.4%
북 619
 
2.3%
부 569
 
2.1%
길 523
 
2.0%
Other values (109) 12444
46.8%

위도
Real number (ℝ)

Distinct6738
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.565821
Minimum35.545737
Maximum35.594964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.4 KiB
2024-04-06T17:31:19.051553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.545737
5-th percentile35.551653
Q135.556998
median35.563373
Q335.57313
95-th percentile35.586925
Maximum35.594964
Range0.04922734
Interquartile range (IQR)0.016132145

Descriptive statistics

Standard deviation0.010827879
Coefficient of variation (CV)0.0003044462
Kurtosis-0.56333772
Mean35.565821
Median Absolute Deviation (MAD)0.00731434
Skewness0.60267432
Sum239820.33
Variance0.00011724297
MonotonicityNot monotonic
2024-04-06T17:31:19.346246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.5787485 2
 
< 0.1%
35.56213443 2
 
< 0.1%
35.5608095 2
 
< 0.1%
35.58583334 2
 
< 0.1%
35.56862609 2
 
< 0.1%
35.58890293 1
 
< 0.1%
35.58903672 1
 
< 0.1%
35.58916804 1
 
< 0.1%
35.58934085 1
 
< 0.1%
35.58944982 1
 
< 0.1%
Other values (6728) 6728
99.8%
ValueCountFrequency (%)
35.54573693 1
< 0.1%
35.546018 1
< 0.1%
35.5461336 1
< 0.1%
35.54629833 1
< 0.1%
35.54637137 1
< 0.1%
35.54660024 1
< 0.1%
35.54661804 1
< 0.1%
35.54684444 1
< 0.1%
35.54687785 1
< 0.1%
35.54705786 1
< 0.1%
ValueCountFrequency (%)
35.59496427 1
< 0.1%
35.59466618 1
< 0.1%
35.59435721 1
< 0.1%
35.59405939 1
< 0.1%
35.59369885 1
< 0.1%
35.59337471 1
< 0.1%
35.59326938 1
< 0.1%
35.59305057 1
< 0.1%
35.59303515 1
< 0.1%
35.59287127 1
< 0.1%

경도
Real number (ℝ)

Distinct6708
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.31785
Minimum129.25678
Maximum129.35447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.4 KiB
2024-04-06T17:31:19.650653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.25678
5-th percentile129.26971
Q1129.2984
median129.32263
Q3129.33867
95-th percentile129.34905
Maximum129.35447
Range0.0976966
Interquartile range (IQR)0.0402733

Descriptive statistics

Standard deviation0.024874078
Coefficient of variation (CV)0.00019234837
Kurtosis-0.70269157
Mean129.31785
Median Absolute Deviation (MAD)0.018236
Skewness-0.59668654
Sum871990.28
Variance0.00061871976
MonotonicityNot monotonic
2024-04-06T17:31:20.019440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.3468386 2
 
< 0.1%
129.3215654 2
 
< 0.1%
129.3376214 2
 
< 0.1%
129.3414352 2
 
< 0.1%
129.348491 2
 
< 0.1%
129.3383307 2
 
< 0.1%
129.3454634 2
 
< 0.1%
129.3115892 2
 
< 0.1%
129.317556 2
 
< 0.1%
129.3412346 2
 
< 0.1%
Other values (6698) 6723
99.7%
ValueCountFrequency (%)
129.2567757 1
< 0.1%
129.2568193 1
< 0.1%
129.2568686 1
< 0.1%
129.2569207 1
< 0.1%
129.2569836 1
< 0.1%
129.257041 1
< 0.1%
129.2571012 1
< 0.1%
129.2571642 1
< 0.1%
129.2572331 1
< 0.1%
129.2573104 1
< 0.1%
ValueCountFrequency (%)
129.3544723 1
< 0.1%
129.3543504 1
< 0.1%
129.3542851 1
< 0.1%
129.3541904 1
< 0.1%
129.3540211 1
< 0.1%
129.3540068 1
< 0.1%
129.3539693 1
< 0.1%
129.3538498 1
< 0.1%
129.353669 1
< 0.1%
129.3536484 1
< 0.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.8 KiB
2024-03-29
6743 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-29
2nd row2024-03-29
3rd row2024-03-29
4th row2024-03-29
5th row2024-03-29

Common Values

ValueCountFrequency (%)
2024-03-29 6743
100.0%

Length

2024-04-06T17:31:20.325730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:31:20.538947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-29 6743
100.0%

Interactions

2024-04-06T17:31:11.526517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:10.264555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:10.887531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:11.735099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:10.449967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:11.086702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:11.950117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:10.658530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:31:11.313789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:31:20.714760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.6170.683
위도0.6171.0000.651
경도0.6830.6511.000
2024-04-06T17:31:20.941288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.085-0.186
위도-0.0851.0000.404
경도-0.1860.4041.000

Missing values

2024-04-06T17:31:12.220228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:31:12.720863image/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

연번그룹분전함표찰등주표찰위도경도데이터기준일
01중구내황길 1내황길 1-135.552161129.3482312024-03-29
12중구내황길 1내황길 1-235.551947129.3481342024-03-29
23중구내황길 1내황길 1-335.551548129.3479182024-03-29
34중구내황길 1내황길 1-435.551346129.3477472024-03-29
45중구내황길 1내황길 1-535.551141129.3475152024-03-29
56중구내황길 1내황길 1-635.551129.3473572024-03-29
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