Overview

Dataset statistics

Number of variables16
Number of observations80
Missing cells480
Missing cells (%)37.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory140.7 B

Variable types

Text3
Numeric5
Categorical1
Unsupported6
DateTime1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
URLhttps://www.data.go.kr/data/15021145/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
가로수길시작위도 is highly overall correlated with 가로수길종료위도High correlation
가로수길시작경도 is highly overall correlated with 가로수길종료경도High correlation
가로수길종료위도 is highly overall correlated with 가로수길시작위도High correlation
가로수길종료경도 is highly overall correlated with 가로수길시작경도High correlation
가로수수량 has 80 (100.0%) missing valuesMissing
식재연도 has 80 (100.0%) missing valuesMissing
도로명 has 80 (100.0%) missing valuesMissing
도로종류 has 80 (100.0%) missing valuesMissing
관리기관전화번호 has 80 (100.0%) missing valuesMissing
관리기관명 has 80 (100.0%) missing valuesMissing
가로수길명 has unique valuesUnique
가로수길시작위도 has unique valuesUnique
가로수길시작경도 has unique valuesUnique
가로수길종료위도 has unique valuesUnique
가로수길종료경도 has unique valuesUnique
도로구간 has unique valuesUnique
가로수수량 is an unsupported type, check if it needs cleaning or further analysisUnsupported
식재연도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
관리기관전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
관리기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 07:29:31.295212
Analysis finished2023-12-12 07:29:35.004656
Duration3.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가로수길명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T16:29:35.230449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.125
Min length3

Characters and Unicode

Total characters570
Distinct characters79
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)100.0%

Sample

1st row신일서로67~68번길
2nd row신탄진동로 23번길
3rd row신탄진동로~ 신탄진동로24번길
4th row신탄진로
5th row신상로동부로
ValueCountFrequency (%)
대전로 5
 
4.8%
계족산로 4
 
3.8%
동춘당로 3
 
2.9%
계족로 3
 
2.9%
대덕대로 3
 
2.9%
대화로 3
 
2.9%
선비마을로 2
 
1.9%
덕암로 2
 
1.9%
대청로 2
 
1.9%
계족산로52번길 2
 
1.9%
Other values (74) 76
72.4%
2023-12-12T16:29:35.675146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 81
 
14.2%
길 43
 
7.5%
번 38
 
6.7%
1 30
 
5.3%
대 26
 
4.6%
25
 
4.4%
2 16
 
2.8%
4 14
 
2.5%
동 14
 
2.5%
신 14
 
2.5%
Other values (69) 269
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 401
70.4%
Decimal Number 132
 
23.2%
Space Separator 25
 
4.4%
Math Symbol 12
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 81
20.2%
길 43
 
10.7%
번 38
 
9.5%
대 26
 
6.5%
동 14
 
3.5%
신 14
 
3.5%
진 10
 
2.5%
족 10
 
2.5%
계 10
 
2.5%
탄 9
 
2.2%
Other values (57) 146
36.4%
Decimal Number
ValueCountFrequency (%)
1 30
22.7%
2 16
12.1%
4 14
10.6%
6 13
9.8%
3 12
 
9.1%
0 12
 
9.1%
5 10
 
7.6%
8 10
 
7.6%
7 8
 
6.1%
9 7
 
5.3%
Space Separator
ValueCountFrequency (%)
25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 401
70.4%
Common 169
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 81
20.2%
길 43
 
10.7%
번 38
 
9.5%
대 26
 
6.5%
동 14
 
3.5%
신 14
 
3.5%
진 10
 
2.5%
족 10
 
2.5%
계 10
 
2.5%
탄 9
 
2.2%
Other values (57) 146
36.4%
Common
ValueCountFrequency (%)
1 30
17.8%
25
14.8%
2 16
9.5%
4 14
8.3%
6 13
7.7%
~ 12
 
7.1%
3 12
 
7.1%
0 12
 
7.1%
5 10
 
5.9%
8 10
 
5.9%
Other values (2) 15
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 401
70.4%
ASCII 169
29.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 81
20.2%
길 43
 
10.7%
번 38
 
9.5%
대 26
 
6.5%
동 14
 
3.5%
신 14
 
3.5%
진 10
 
2.5%
족 10
 
2.5%
계 10
 
2.5%
탄 9
 
2.2%
Other values (57) 146
36.4%
ASCII
ValueCountFrequency (%)
1 30
17.8%
25
14.8%
2 16
9.5%
4 14
8.3%
6 13
7.7%
~ 12
 
7.1%
3 12
 
7.1%
0 12
 
7.1%
5 10
 
5.9%
8 10
 
5.9%
Other values (2) 15
8.9%

가로수길시작위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.246962
Minimum36.203822
Maximum36.447952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-12T16:29:35.836792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.203822
5-th percentile36.204677
Q136.213607
median36.221241
Q336.263787
95-th percentile36.412238
Maximum36.447952
Range0.24412984
Interquartile range (IQR)0.0501795

Descriptive statistics

Standard deviation0.057990163
Coefficient of variation (CV)0.0015998627
Kurtosis5.2738293
Mean36.246962
Median Absolute Deviation (MAD)0.009697015
Skewness2.3586938
Sum2899.7569
Variance0.003362859
MonotonicityNot monotonic
2023-12-12T16:29:36.013144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.44207896 1
 
1.2%
36.213795 1
 
1.2%
36.261938 1
 
1.2%
36.215489 1
 
1.2%
36.228571 1
 
1.2%
36.204093 1
 
1.2%
36.203822 1
 
1.2%
36.265693 1
 
1.2%
36.254865 1
 
1.2%
36.255415 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
36.203822 1
1.2%
36.20399163 1
1.2%
36.204093 1
1.2%
36.204251 1
1.2%
36.204699 1
1.2%
36.204789 1
1.2%
36.205471 1
1.2%
36.211512 1
1.2%
36.211575 1
1.2%
36.211612 1
1.2%
ValueCountFrequency (%)
36.44795184 1
1.2%
36.44763382 1
1.2%
36.44207896 1
1.2%
36.43032367 1
1.2%
36.411286 1
1.2%
36.36219593 1
1.2%
36.35583201 1
1.2%
36.28211598 1
1.2%
36.27489067 1
1.2%
36.27443659 1
1.2%

가로수길시작경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.27029
Minimum127.23423
Maximum127.4443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-12T16:29:36.187670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.23423
5-th percentile127.24232
Q1127.24665
median127.25482
Q3127.26547
95-th percentile127.42528
Maximum127.4443
Range0.2100668
Interquartile range (IQR)0.018814275

Descriptive statistics

Standard deviation0.049836537
Coefficient of variation (CV)0.0003915803
Kurtosis6.5935905
Mean127.27029
Median Absolute Deviation (MAD)0.0096325
Skewness2.8166888
Sum10181.623
Variance0.0024836804
MonotonicityNot monotonic
2023-12-12T16:29:36.344249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.412011 1
 
1.2%
127.265385 1
 
1.2%
127.234232 1
 
1.2%
127.240651 1
 
1.2%
127.251187 1
 
1.2%
127.251348 1
 
1.2%
127.244952 1
 
1.2%
127.254912 1
 
1.2%
127.258661 1
 
1.2%
127.242878 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
127.234232 1
1.2%
127.235191 1
1.2%
127.240651 1
1.2%
127.242018 1
1.2%
127.242339 1
1.2%
127.242878 1
1.2%
127.242886 1
1.2%
127.243503 1
1.2%
127.243883 1
1.2%
127.244249 1
1.2%
ValueCountFrequency (%)
127.4442988 1
1.2%
127.4371316 1
1.2%
127.4319887 1
1.2%
127.4318873 1
1.2%
127.4249363 1
1.2%
127.412011 1
1.2%
127.4059873 1
1.2%
127.275031 1
1.2%
127.274691 1
1.2%
127.272102 1
1.2%

가로수길종료위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.249384
Minimum36.203883
Maximum36.451572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-12T16:29:36.505966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.203883
5-th percentile36.212002
Q136.214712
median36.223672
Q336.263884
95-th percentile36.431866
Maximum36.451572
Range0.24768859
Interquartile range (IQR)0.04917225

Descriptive statistics

Standard deviation0.057494616
Coefficient of variation (CV)0.0015860854
Kurtosis5.6947214
Mean36.249384
Median Absolute Deviation (MAD)0.0108865
Skewness2.4569361
Sum2899.9507
Variance0.0033056309
MonotonicityNot monotonic
2023-12-12T16:29:36.668870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.43422966 1
 
1.2%
36.214711 1
 
1.2%
36.273571 1
 
1.2%
36.222212 1
 
1.2%
36.223241 1
 
1.2%
36.225354 1
 
1.2%
36.212369 1
 
1.2%
36.271352 1
 
1.2%
36.252495 1
 
1.2%
36.254069 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
36.20388303 1
1.2%
36.211031 1
1.2%
36.211336 1
1.2%
36.211414 1
1.2%
36.212033 1
1.2%
36.212059 1
1.2%
36.212342 1
1.2%
36.212369 1
1.2%
36.212792 1
1.2%
36.212831 1
1.2%
ValueCountFrequency (%)
36.45157162 1
1.2%
36.44536752 1
1.2%
36.43962876 1
1.2%
36.43422966 1
1.2%
36.43174155 1
1.2%
36.36028998 1
1.2%
36.35190001 1
1.2%
36.27487668 1
1.2%
36.273571 1
1.2%
36.27346067 1
1.2%

가로수길종료경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.27025
Minimum127.23402
Maximum127.44143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-12T16:29:36.857442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.23402
5-th percentile127.24187
Q1127.25174
median127.25444
Q3127.26426
95-th percentile127.42731
Maximum127.44143
Range0.207407
Interquartile range (IQR)0.01252275

Descriptive statistics

Standard deviation0.049608437
Coefficient of variation (CV)0.00038978816
Kurtosis6.662463
Mean127.27025
Median Absolute Deviation (MAD)0.00770535
Skewness2.8258444
Sum10181.62
Variance0.0024609971
MonotonicityNot monotonic
2023-12-12T16:29:36.986705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4014854 1
 
1.2%
127.263184 1
 
1.2%
127.254249 1
 
1.2%
127.251174 1
 
1.2%
127.245289 1
 
1.2%
127.253228 1
 
1.2%
127.241909 1
 
1.2%
127.254305 1
 
1.2%
127.253195 1
 
1.2%
127.251387 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
127.234024 1
1.2%
127.235131 1
1.2%
127.235651 1
1.2%
127.241041 1
1.2%
127.241909 1
1.2%
127.241981 1
1.2%
127.242028 1
1.2%
127.243334 1
1.2%
127.243628 1
1.2%
127.243691 1
1.2%
ValueCountFrequency (%)
127.441431 1
1.2%
127.4408033 1
1.2%
127.4325785 1
1.2%
127.4308142 1
1.2%
127.4271207 1
1.2%
127.4077344 1
1.2%
127.4014854 1
1.2%
127.278812 1
1.2%
127.275611 1
1.2%
127.274561 1
1.2%

가로수종류
Categorical

Distinct33
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
벚나무
14 
은행나무
14 
중국단풍
6 
이팝나무
6 
버즘나무
5 
Other values (28)
35 

Length

Max length25
Median length24
Mean length7.15
Min length3

Unique

Unique21 ?
Unique (%)26.2%

Sample

1st row은행나무+중국단풍
2nd row벚나무
3rd row벚나무+튜립나무+이팝나무
4th row은행나무+벚나무+기타
5th row벚나무

Common Values

ValueCountFrequency (%)
벚나무 14
17.5%
은행나무 14
17.5%
중국단풍 6
 
7.5%
이팝나무 6
 
7.5%
버즘나무 5
 
6.2%
벚나무+기타 2
 
2.5%
은행나무+이팝나무 2
 
2.5%
중국단풍+이팝나무 2
 
2.5%
은행나무+회화나무 2
 
2.5%
은행나무+메타세콰이어 2
 
2.5%
Other values (23) 25
31.2%

Length

2023-12-12T16:29:37.120992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
벚나무 14
17.5%
은행나무 14
17.5%
중국단풍 6
 
7.5%
이팝나무 6
 
7.5%
버즘나무 5
 
6.2%
은행나무+회화나무 2
 
2.5%
은행나무+버즘나무+이팝나무 2
 
2.5%
은행나무+메타세콰이어 2
 
2.5%
은행나무+느티나무 2
 
2.5%
중국단풍+이팝나무 2
 
2.5%
Other values (23) 25
31.2%

가로수수량
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

가로수길길이
Real number (ℝ)

Distinct36
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9825
Minimum0.1
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-12T16:29:37.257932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.8
median1.35
Q32.325
95-th percentile6.535
Maximum11.5
Range11.4
Interquartile range (IQR)1.525

Descriptive statistics

Standard deviation2.1062159
Coefficient of variation (CV)1.062404
Kurtosis8.0695518
Mean1.9825
Median Absolute Deviation (MAD)0.6
Skewness2.6464806
Sum158.6
Variance4.4361456
MonotonicityNot monotonic
2023-12-12T16:29:37.436228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1.4 9
 
11.2%
0.8 9
 
11.2%
1.3 7
 
8.8%
0.9 6
 
7.5%
0.3 4
 
5.0%
0.6 3
 
3.8%
1.9 3
 
3.8%
1.8 3
 
3.8%
2.2 2
 
2.5%
0.4 2
 
2.5%
Other values (26) 32
40.0%
ValueCountFrequency (%)
0.1 1
 
1.2%
0.2 2
 
2.5%
0.3 4
5.0%
0.4 2
 
2.5%
0.5 2
 
2.5%
0.6 3
 
3.8%
0.7 2
 
2.5%
0.8 9
11.2%
0.9 6
7.5%
1.0 1
 
1.2%
ValueCountFrequency (%)
11.5 1
1.2%
10.5 1
1.2%
7.8 1
1.2%
7.2 1
1.2%
6.5 1
1.2%
5.2 1
1.2%
4.7 1
1.2%
4.2 1
1.2%
3.6 1
1.2%
3.5 2
2.5%

식재연도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

가로수길소개
Text

Distinct56
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T16:29:37.739796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length55
Mean length39.3625
Min length22

Characters and Unicode

Total characters3149
Distinct characters247
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)61.3%

Sample

1st row은행나무와 중국단풍으로 가을이면 단풍의 아름다움을 느낄 수 있음
2nd row벚나무가 만들어내는 봄철의 벚꽃길이 아름다움
3rd row벚나무부터 튜립나무와 이팝나무까지 다양한 나무가 길을 이루고 있어 다채로운 즐거움이 있음
4th row가장 긴 노선을 자랑하며 은행나무 등 다양한 가로수가 식재되어 있지만 그 중 단연 벚나무가 가장 아름다운 길
5th row벚나무가 만든 아름다운 벚꽃길과 길 중앙에 조성된 녹지대가 보기 좋은 길
ValueCountFrequency (%)
있음 31
 
4.1%
식재되어 24
 
3.2%
있어 23
 
3.1%
수 23
 
3.1%
느낄 19
 
2.5%
길 18
 
2.4%
아름다움 18
 
2.4%
아름다운 16
 
2.1%
벚나무가 14
 
1.9%
조성되어 14
 
1.9%
Other values (302) 552
73.4%
2023-12-12T16:29:38.226392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
672
 
21.3%
나 97
 
3.1%
이 97
 
3.1%
무 94
 
3.0%
가 91
 
2.9%
어 81
 
2.6%
을 67
 
2.1%
있 61
 
1.9%
로 59
 
1.9%
아 57
 
1.8%
Other values (237) 1773
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2457
78.0%
Space Separator 672
 
21.3%
Math Symbol 17
 
0.5%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
나 97
 
3.9%
이 97
 
3.9%
무 94
 
3.8%
가 91
 
3.7%
어 81
 
3.3%
을 67
 
2.7%
있 61
 
2.5%
로 59
 
2.4%
아 57
 
2.3%
다 52
 
2.1%
Other values (234) 1701
69.2%
Space Separator
ValueCountFrequency (%)
672
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2457
78.0%
Common 692
 
22.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
나 97
 
3.9%
이 97
 
3.9%
무 94
 
3.8%
가 91
 
3.7%
어 81
 
3.3%
을 67
 
2.7%
있 61
 
2.5%
로 59
 
2.4%
아 57
 
2.3%
다 52
 
2.1%
Other values (234) 1701
69.2%
Common
ValueCountFrequency (%)
672
97.1%
~ 17
 
2.5%
. 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2457
78.0%
ASCII 692
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
672
97.1%
~ 17
 
2.5%
. 3
 
0.4%
Hangul
ValueCountFrequency (%)
나 97
 
3.9%
이 97
 
3.9%
무 94
 
3.8%
가 91
 
3.7%
어 81
 
3.3%
을 67
 
2.7%
있 61
 
2.5%
로 59
 
2.4%
아 57
 
2.3%
다 52
 
2.1%
Other values (234) 1701
69.2%

도로명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

도로종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

도로구간
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T16:29:38.446821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length33
Mean length22.4375
Min length6

Characters and Unicode

Total characters1795
Distinct characters241
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)100.0%

Sample

1st row을미기4가~신일4가~ 대덕대로1284번길(한솔제지 기숙사)
2nd row신탄제일신협 4가(신탄진동로 교점 ~청해루 앞 4가(대청로교점)
3rd row송원고가차도~보훈병원입구/신협신탄제일본점~신탄진로 756번길
4th row읍내3가 ~ 현도교
5th row왕룽숯불갈비 앞 4가~가양비래공원 3가 ~ 동부로 터널 입구
ValueCountFrequency (%)
38
 
12.3%
교점 19
 
6.1%
4가 13
 
4.2%
3가 10
 
3.2%
앞 9
 
2.9%
정문 4
 
1.3%
진입로 4
 
1.3%
신탄진과선교 3
 
1.0%
계족로 3
 
1.0%
농수산5가 3
 
1.0%
Other values (186) 204
65.8%
2023-12-12T16:29:38.773110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
 
12.9%
~ 104
 
5.8%
로 85
 
4.7%
가 61
 
3.4%
교 53
 
3.0%
대 45
 
2.5%
4 36
 
2.0%
점 32
 
1.8%
( 31
 
1.7%
) 31
 
1.7%
Other values (231) 1086
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1256
70.0%
Space Separator 231
 
12.9%
Math Symbol 104
 
5.8%
Decimal Number 99
 
5.5%
Open Punctuation 31
 
1.7%
Close Punctuation 31
 
1.7%
Uppercase Letter 31
 
1.7%
Other Punctuation 9
 
0.5%
Connector Punctuation 2
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 85
 
6.8%
가 61
 
4.9%
교 53
 
4.2%
대 45
 
3.6%
점 32
 
2.5%
동 28
 
2.2%
신 27
 
2.1%
길 25
 
2.0%
진 24
 
1.9%
도 22
 
1.8%
Other values (203) 854
68.0%
Decimal Number
ValueCountFrequency (%)
4 36
36.4%
3 25
25.3%
1 9
 
9.1%
5 8
 
8.1%
6 5
 
5.1%
7 5
 
5.1%
2 4
 
4.0%
8 3
 
3.0%
9 2
 
2.0%
0 2
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
T 9
29.0%
P 7
22.6%
A 7
22.6%
G 2
 
6.5%
S 2
 
6.5%
C 1
 
3.2%
I 1
 
3.2%
F 1
 
3.2%
D 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
@ 5
55.6%
/ 3
33.3%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
231
100.0%
Math Symbol
ValueCountFrequency (%)
~ 104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1257
70.0%
Common 507
28.2%
Latin 31
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 85
 
6.8%
가 61
 
4.9%
교 53
 
4.2%
대 45
 
3.6%
점 32
 
2.5%
동 28
 
2.2%
신 27
 
2.1%
길 25
 
2.0%
진 24
 
1.9%
도 22
 
1.8%
Other values (204) 855
68.0%
Common
ValueCountFrequency (%)
231
45.6%
~ 104
20.5%
4 36
 
7.1%
( 31
 
6.1%
) 31
 
6.1%
3 25
 
4.9%
1 9
 
1.8%
5 8
 
1.6%
6 5
 
1.0%
7 5
 
1.0%
Other values (8) 22
 
4.3%
Latin
ValueCountFrequency (%)
T 9
29.0%
P 7
22.6%
A 7
22.6%
G 2
 
6.5%
S 2
 
6.5%
C 1
 
3.2%
I 1
 
3.2%
F 1
 
3.2%
D 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1256
70.0%
ASCII 538
30.0%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
42.9%
~ 104
19.3%
4 36
 
6.7%
( 31
 
5.8%
) 31
 
5.8%
3 25
 
4.6%
T 9
 
1.7%
1 9
 
1.7%
5 8
 
1.5%
P 7
 
1.3%
Other values (17) 47
 
8.7%
Hangul
ValueCountFrequency (%)
로 85
 
6.8%
가 61
 
4.9%
교 53
 
4.2%
대 45
 
3.6%
점 32
 
2.5%
동 28
 
2.2%
신 27
 
2.1%
길 25
 
2.0%
진 24
 
1.9%
도 22
 
1.8%
Other values (203) 854
68.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

관리기관전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

관리기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2023-08-30 00:00:00
Maximum2023-08-30 00:00:00
2023-12-12T16:29:38.924489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:39.031041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T16:29:34.103232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:31.903385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:32.261572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:32.985649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:33.537485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:34.197430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:31.975904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:32.340732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:33.091629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:33.676679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:34.298411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:32.049397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:32.458404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:33.198691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:33.786724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:34.408403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:32.116797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:32.530714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:33.300366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:33.904471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:34.506829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:32.183382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:32.600295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:33.405925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:34.009526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:29:39.104368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가로수길명가로수길시작위도가로수길시작경도가로수길종료위도가로수길종료경도가로수종류가로수길길이가로수길소개도로구간
가로수길명1.0001.0001.0001.0001.0001.0001.0001.0001.000
가로수길시작위도1.0001.0000.7510.8840.6910.8380.3420.7781.000
가로수길시작경도1.0000.7511.0000.7590.8830.8500.0000.7871.000
가로수길종료위도1.0000.8840.7591.0000.6460.0000.2370.0001.000
가로수길종료경도1.0000.6910.8830.6461.0000.6600.0000.5581.000
가로수종류1.0000.8380.8500.0000.6601.0000.8950.9981.000
가로수길길이1.0000.3420.0000.2370.0000.8951.0000.9401.000
가로수길소개1.0000.7780.7870.0000.5580.9980.9401.0001.000
도로구간1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T16:29:39.233680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가로수길시작위도가로수길시작경도가로수길종료위도가로수길종료경도가로수길길이가로수종류
가로수길시작위도1.0000.1790.9110.1920.0590.431
가로수길시작경도0.1791.0000.1580.813-0.2610.487
가로수길종료위도0.9110.1581.0000.1760.1840.000
가로수길종료경도0.1920.8130.1761.000-0.2350.297
가로수길길이0.059-0.2610.184-0.2351.0000.497
가로수종류0.4310.4870.0000.2970.4971.000

Missing values

2023-12-12T16:29:34.636766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:29:34.891231image/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

가로수길명가로수길시작위도가로수길시작경도가로수길종료위도가로수길종료경도가로수종류가로수수량가로수길길이식재연도가로수길소개도로명도로종류도로구간관리기관전화번호관리기관명데이터기준일자
0신일서로67~68번길36.442079127.41201136.43423127.401485은행나무+중국단풍<NA>1.4<NA>은행나무와 중국단풍으로 가을이면 단풍의 아름다움을 느낄 수 있음<NA><NA>을미기4가~신일4가~ 대덕대로1284번길(한솔제지 기숙사)<NA><NA>2023-08-30
1신탄진동로 23번길36.447952127.43188736.451572127.430814벚나무<NA>0.5<NA>벚나무가 만들어내는 봄철의 벚꽃길이 아름다움<NA><NA>신탄제일신협 4가(신탄진동로 교점 ~청해루 앞 4가(대청로교점)<NA><NA>2023-08-30
2신탄진동로~ 신탄진동로24번길36.447634127.43198936.445368127.432579벚나무+튜립나무+이팝나무<NA>1.4<NA>벚나무부터 튜립나무와 이팝나무까지 다양한 나무가 길을 이루고 있어 다채로운 즐거움이 있음<NA><NA>송원고가차도~보훈병원입구/신협신탄제일본점~신탄진로 756번길<NA><NA>2023-08-30
3신탄진로36.411286127.42493636.439629127.427121은행나무+벚나무+기타<NA>11.5<NA>가장 긴 노선을 자랑하며 은행나무 등 다양한 가로수가 식재되어 있지만 그 중 단연 벚나무가 가장 아름다운 길<NA><NA>읍내3가 ~ 현도교<NA><NA>2023-08-30
4신상로동부로36.211618127.27170536.211031127.273539벚나무<NA>0.9<NA>벚나무가 만든 아름다운 벚꽃길과 길 중앙에 조성된 녹지대가 보기 좋은 길<NA><NA>왕룽숯불갈비 앞 4가~가양비래공원 3가 ~ 동부로 터널 입구<NA><NA>2023-08-30
5신일서로126번길36.430324127.40598736.431742127.407734회화나무+이팝나무<NA>0.9<NA>이팝나무의 꽃과 회화나무가 조화롭게 어울리는 길<NA><NA>씨알들삼거리 ~용신교<NA><NA>2023-08-30
6상용호진입도로36.265469127.27469136.264115127.254853벚나무<NA>0.9<NA>벚나무가 만들어내는 봄철의 벚꽃길이 아름다움<NA><NA>대청로(용정 용호분교) 교점 ~ 상용호<NA><NA>2023-08-30
7석봉로36.264915127.25192436.265071127.254112벚나무<NA>0.9<NA>벚나무가 만들어내는 봄철의 벚꽃길이 아름다움<NA><NA>이문고 진입로 ~송원고가차도<NA><NA>2023-08-30
8선비마을로36.214177127.26446136.222848127.254135중국단풍<NA>3.4<NA>아파트 외곽을 따라 이어진 가로수길로서 계족산과 체육공원들이 있어 건강한 길<NA><NA>송촌동성당앞 3가~선비마을APT뒷길~계족로(동부평생교육문화센터)<NA><NA>2023-08-30
9선비마을로 23번길36.215562127.26392136.214775127.264946중국단풍<NA>0.3<NA>중국단풍과 길을 따라 조성된 녹지대에 휴식공간이 조화로운 길<NA><NA>선비마을5단지~ 송촌초_고교 사잇길<NA><NA>2023-08-30
가로수길명가로수길시작위도가로수길시작경도가로수길종료위도가로수길종료경도가로수종류가로수수량가로수길길이식재연도가로수길소개도로명도로종류도로구간관리기관전화번호관리기관명데이터기준일자
70계족로 664번길36.221462127.25452536.221251127.261131은행나무+느티나무<NA>1.0<NA>커다란 느티나무와 은행나무로 조성되어 시원한 그늘과 짙은 녹음을 느낄 수 있음<NA><NA>대전동부경찰서 4가~대전매봉중 정문<NA><NA>2023-08-30
71계족로663번길36.221297127.25436236.221242127.254584은행나무<NA>0.4<NA>가을이면 좌우로 펼쳐진 노랗게 물든 은행나무를 볼 수 있음<NA><NA>법1동주민센터 앞 4가 4통로 길 전체<NA><NA>2023-08-30
72계족산로36.214132127.25545336.221212127.264521은행나무+소나무+기타<NA>1.9<NA>대덕구의 명소이자 유서 깊은 동춘당을 지나는 가로수길로서~ 생애길이라고 불리며 아름답게 관리된 소나무 가로수 및 황금측백과 꽃댕강으로 조성한 가로화단이 있어 깔끔하면서도 고풍스러운 느낌을 줌<NA><NA>계족로~ 중리남로 교점~선비마을로~ 선비마을4~5단지 사이길 교점)<NA><NA>2023-08-30
73계족산로 17번길36.214288127.26003136.223031127.255428중국단풍+이팝나무<NA>0.6<NA>중국단풍과 이팝나무로 조성되고~ 가로수길 중간에 송애당이 위치하여 볼거리가 많음<NA><NA>계족산로~보람@ 정문<NA><NA>2023-08-30
74계족산로 5번길36.214266127.25538536.214229127.25554중국단풍+이팝나무<NA>0.8<NA>가로수길 중간 중간에 녹지대가 조성되어 녹지를 느낄 수 있음<NA><NA>하나로클리닉 주차장~법2동주민센터<NA><NA>2023-08-30
75계족산로 81번길36.214763127.26248336.222231127.269491이팝나무<NA>0.8<NA>상가 밀집 지역에 이팝나무를 식재하여 상가 이용자로 하여금 자연의 편안함을 느낄수 있게 함<NA><NA>(주)한국서지연구소~그린타운 APT<NA><NA>2023-08-30
76계족산로52번길36.214424127.26138236.213713127.262522중국단풍<NA>0.4<NA>가로수길 우측으로 산지 및 휴식지가 조성되어 있어 여유로이 거닐수 있음<NA><NA>송촌북로~계족산로 교점 ~ 송촌평생학습도서관<NA><NA>2023-08-30
77길치고개길36.211768127.27210236.212792127.275611벚나무<NA>1.4<NA>봄에 풍성한 벚꽃으로 장관을 이루고~ 근처에 가양비래공원이 위치하여 정돈된 공원의 아름다움까지 함께 느낄 수 있음<NA><NA>삼익둥지 APT(비래동)~ 길치고개<NA><NA>2023-08-30
78대덕대로 1447~1448번길36.270921127.24288636.261454127.244827은행나무+버즘나무+이팝나무<NA>1.9<NA>은행나무와 버즘나무로 조성되어 가을에 단풍이 아름답고~ 주변에 을미기 공원이 위치하여 산책하기에 알맞음<NA><NA>로얄알루미늄 방충망~방일해장국 ~ 신일동로<NA><NA>2023-08-30
79대덕대로 1470~1486번길36.265549127.24424936.264294127.243693은행나무<NA>2.2<NA>은행나무로 조성되어 있어 가을이면 아름다운 단풍의 정취를 느낄수 있음<NA><NA>신탄진지구대 ~ 한라공조@/상록수 @ 후문진입로 ~ 들말두레전수관<NA><NA>2023-08-30