Overview

Dataset statistics

Number of variables8
Number of observations8349
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory546.4 KiB
Average record size in memory67.0 B

Variable types

Text3
Categorical2
Numeric2
DateTime1

Dataset

Description대전광역시의 회당보도 불법주정차 금지구역(관리번호,시군구,시군구코드,주소,횡단보도 중심 경도,횡단보도 중심 위도,불법 주정차 금지구역,데이터기준일자)
URLhttps://www.data.go.kr/data/15097785/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시군구 is highly overall correlated with 횡단보도 중심 경도 and 1 other fieldsHigh correlation
시군구코드 is highly overall correlated with 횡단보도 중심 경도 and 1 other fieldsHigh correlation
횡단보도 중심 경도 is highly overall correlated with 시군구 and 1 other fieldsHigh correlation
관리번호 has unique valuesUnique
불법 주정차 금지구역 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:57:52.965979
Analysis finished2023-12-12 10:57:58.313750
Duration5.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct8349
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
2023-12-12T19:57:58.540013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters141933
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8349 ?
Unique (%)100.0%

Sample

1st row6300000_CSW_00001
2nd row6300000_CSW_00002
3rd row6300000_CSW_00003
4th row6300000_CSW_00004
5th row6300000_CSW_00005
ValueCountFrequency (%)
6300000_csw_00001 1
 
< 0.1%
6300000_csw_05577 1
 
< 0.1%
6300000_csw_05575 1
 
< 0.1%
6300000_csw_05574 1
 
< 0.1%
6300000_csw_05573 1
 
< 0.1%
6300000_csw_05572 1
 
< 0.1%
6300000_csw_05571 1
 
< 0.1%
6300000_csw_05570 1
 
< 0.1%
6300000_csw_05569 1
 
< 0.1%
6300000_csw_05568 1
 
< 0.1%
Other values (8339) 8339
99.9%
2023-12-12T19:57:59.126545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53665
37.8%
_ 16698
 
11.8%
3 11874
 
8.4%
6 11814
 
8.3%
C 8349
 
5.9%
S 8349
 
5.9%
W 8349
 
5.9%
1 3575
 
2.5%
2 3575
 
2.5%
4 3475
 
2.4%
Other values (4) 12210
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100188
70.6%
Uppercase Letter 25047
 
17.6%
Connector Punctuation 16698
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53665
53.6%
3 11874
 
11.9%
6 11814
 
11.8%
1 3575
 
3.6%
2 3575
 
3.6%
4 3475
 
3.5%
5 3465
 
3.5%
7 3465
 
3.5%
8 2815
 
2.8%
9 2465
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
C 8349
33.3%
S 8349
33.3%
W 8349
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 16698
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116886
82.4%
Latin 25047
 
17.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53665
45.9%
_ 16698
 
14.3%
3 11874
 
10.2%
6 11814
 
10.1%
1 3575
 
3.1%
2 3575
 
3.1%
4 3475
 
3.0%
5 3465
 
3.0%
7 3465
 
3.0%
8 2815
 
2.4%
Latin
ValueCountFrequency (%)
C 8349
33.3%
S 8349
33.3%
W 8349
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141933
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53665
37.8%
_ 16698
 
11.8%
3 11874
 
8.4%
6 11814
 
8.3%
C 8349
 
5.9%
S 8349
 
5.9%
W 8349
 
5.9%
1 3575
 
2.5%
2 3575
 
2.5%
4 3475
 
2.4%
Other values (4) 12210
 
8.6%

시군구
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
서구
3034 
동구
2191 
중구
1868 
유성구
1256 

Length

Max length3
Median length2
Mean length2.1504372
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 3034
36.3%
동구 2191
26.2%
중구 1868
22.4%
유성구 1256
15.0%

Length

2023-12-12T19:57:59.376221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:57:59.565564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 3034
36.3%
동구 2191
26.2%
중구 1868
22.4%
유성구 1256
15.0%

시군구코드
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
30170
3034 
30110
2191 
30140
1868 
30200
1256 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30110
2nd row30110
3rd row30110
4th row30110
5th row30110

Common Values

ValueCountFrequency (%)
30170 3034
36.3%
30110 2191
26.2%
30140 1868
22.4%
30200 1256
15.0%

Length

2023-12-12T19:57:59.768539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:58:00.009032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30170 3034
36.3%
30110 2191
26.2%
30140 1868
22.4%
30200 1256
15.0%

주소
Text

Distinct3071
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
2023-12-12T19:58:00.564032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length19.121931
Min length15

Characters and Unicode

Total characters159649
Distinct characters127
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

Unique1967 ?
Unique (%)23.6%

Sample

1st row대전광역시 동구 가양동 671번지
2nd row대전광역시 동구 낭월동 308번지
3rd row대전광역시 동구 추동 327-8번지
4th row대전광역시 동구 성남동 44-16번지
5th row대전광역시 동구 대동 347-2번지
ValueCountFrequency (%)
대전광역시 8349
24.2%
서구 3034
 
8.8%
동구 2191
 
6.3%
중구 1868
 
5.4%
유성구 1256
 
3.6%
번지 1116
 
3.2%
둔산동 485
 
1.4%
관저동 435
 
1.3%
탄방동 242
 
0.7%
월평동 233
 
0.7%
Other values (2680) 15305
44.3%
2023-12-12T19:58:01.293985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26165
16.4%
동 10540
 
6.6%
대 8864
 
5.6%
전 8535
 
5.3%
지 8418
 
5.3%
구 8406
 
5.3%
광 8349
 
5.2%
역 8349
 
5.2%
시 8349
 
5.2%
번 8349
 
5.2%
Other values (117) 55325
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100947
63.2%
Decimal Number 29661
 
18.6%
Space Separator 26165
 
16.4%
Dash Punctuation 2876
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10540
10.4%
대 8864
8.8%
전 8535
8.5%
지 8418
8.3%
구 8406
8.3%
광 8349
8.3%
역 8349
8.3%
시 8349
8.3%
번 8349
8.3%
서 3034
 
3.0%
Other values (105) 19754
19.6%
Decimal Number
ValueCountFrequency (%)
1 5254
17.7%
5 3295
11.1%
2 3243
10.9%
4 2930
9.9%
6 2860
9.6%
3 2803
9.5%
0 2533
8.5%
7 2384
8.0%
8 2180
7.3%
9 2179
7.3%
Space Separator
ValueCountFrequency (%)
26165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2876
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100947
63.2%
Common 58702
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10540
10.4%
대 8864
8.8%
전 8535
8.5%
지 8418
8.3%
구 8406
8.3%
광 8349
8.3%
역 8349
8.3%
시 8349
8.3%
번 8349
8.3%
서 3034
 
3.0%
Other values (105) 19754
19.6%
Common
ValueCountFrequency (%)
26165
44.6%
1 5254
 
9.0%
5 3295
 
5.6%
2 3243
 
5.5%
4 2930
 
5.0%
- 2876
 
4.9%
6 2860
 
4.9%
3 2803
 
4.8%
0 2533
 
4.3%
7 2384
 
4.1%
Other values (2) 4359
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100947
63.2%
ASCII 58702
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26165
44.6%
1 5254
 
9.0%
5 3295
 
5.6%
2 3243
 
5.5%
4 2930
 
5.0%
- 2876
 
4.9%
6 2860
 
4.9%
3 2803
 
4.8%
0 2533
 
4.3%
7 2384
 
4.1%
Other values (2) 4359
 
7.4%
Hangul
ValueCountFrequency (%)
동 10540
10.4%
대 8864
8.8%
전 8535
8.5%
지 8418
8.3%
구 8406
8.3%
광 8349
8.3%
역 8349
8.3%
시 8349
8.3%
번 8349
8.3%
서 3034
 
3.0%
Other values (105) 19754
19.6%

횡단보도 중심 경도
Real number (ℝ)

HIGH CORRELATION 

Distinct8321
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.39494
Minimum127.27948
Maximum127.53756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.5 KiB
2023-12-12T19:58:01.552800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.27948
5-th percentile127.31251
Q1127.37043
median127.39322
Q3127.43102
95-th percentile127.46079
Maximum127.53756
Range0.258079
Interquartile range (IQR)0.0605942

Descriptive statistics

Standard deviation0.044074043
Coefficient of variation (CV)0.00034596384
Kurtosis-0.55336254
Mean127.39494
Median Absolute Deviation (MAD)0.0322084
Skewness-0.21156766
Sum1063620.3
Variance0.0019425212
MonotonicityNot monotonic
2023-12-12T19:58:01.762273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.376776 2
 
< 0.1%
127.4245754 2
 
< 0.1%
127.4408656 2
 
< 0.1%
127.3867208 2
 
< 0.1%
127.3984061 2
 
< 0.1%
127.4338061 2
 
< 0.1%
127.3837123 2
 
< 0.1%
127.3874906 2
 
< 0.1%
127.4313834 2
 
< 0.1%
127.3953773 2
 
< 0.1%
Other values (8311) 8329
99.8%
ValueCountFrequency (%)
127.2794817 1
< 0.1%
127.279494 1
< 0.1%
127.2798875 1
< 0.1%
127.2808686 1
< 0.1%
127.2810902 1
< 0.1%
127.2844616 1
< 0.1%
127.2898125 1
< 0.1%
127.2904239 1
< 0.1%
127.2916343 1
< 0.1%
127.2919907 1
< 0.1%
ValueCountFrequency (%)
127.5375607 1
< 0.1%
127.5356594 1
< 0.1%
127.5344256 1
< 0.1%
127.5336024 1
< 0.1%
127.5319909 1
< 0.1%
127.5313742 1
< 0.1%
127.5305508 1
< 0.1%
127.5190981 1
< 0.1%
127.5156854 1
< 0.1%
127.5147916 1
< 0.1%

횡단보도 중심 위도
Real number (ℝ)

Distinct8343
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.331071
Minimum36.200625
Maximum36.472164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.5 KiB
2023-12-12T19:58:02.047296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.200625
5-th percentile36.289345
Q136.31287
median36.330157
Q336.346683
95-th percentile36.386865
Maximum36.472164
Range0.27153935
Interquartile range (IQR)0.03381281

Descriptive statistics

Standard deviation0.031244263
Coefficient of variation (CV)0.00085998738
Kurtosis2.6784994
Mean36.331071
Median Absolute Deviation (MAD)0.01677963
Skewness0.41777578
Sum303328.11
Variance0.00097620395
MonotonicityNot monotonic
2023-12-12T19:58:02.295909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.32681873 2
 
< 0.1%
36.32646421 2
 
< 0.1%
36.32521566 2
 
< 0.1%
36.32653848 2
 
< 0.1%
36.3596834 2
 
< 0.1%
36.3556932 2
 
< 0.1%
36.30587243 1
 
< 0.1%
36.304923 1
 
< 0.1%
36.30623103 1
 
< 0.1%
36.30553652 1
 
< 0.1%
Other values (8333) 8333
99.8%
ValueCountFrequency (%)
36.20062479 1
< 0.1%
36.2108038 1
< 0.1%
36.21362059 1
< 0.1%
36.2165089 1
< 0.1%
36.21656484 1
< 0.1%
36.21791923 1
< 0.1%
36.21804818 1
< 0.1%
36.21817088 1
< 0.1%
36.2182023 1
< 0.1%
36.21828119 1
< 0.1%
ValueCountFrequency (%)
36.47216414 1
< 0.1%
36.46680892 1
< 0.1%
36.46387626 1
< 0.1%
36.46205652 1
< 0.1%
36.46199578 1
< 0.1%
36.46196875 1
< 0.1%
36.46191898 1
< 0.1%
36.45893781 1
< 0.1%
36.45708557 1
< 0.1%
36.45086415 1
< 0.1%

불법 주정차 금지구역
Text

UNIQUE 

Distinct8349
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
2023-12-12T19:58:03.076135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length1024
Mean length1024
Min length1024

Characters and Unicode

Total characters8549376
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8349 ?
Unique (%)100.0%

Sample

1st row[ [ [ [ 240743.447082070168108, 317350.105465484317392 ], [ 240742.712929814588279, 317345.470210568688344 ], [ 240740.582336985797156, 317341.288686699932441 ], [ 240737.263860854553059, 317337.970210568688344 ], [ 240733.082336985797156, 317335.839617739897221 ], [ 240728.447082070168108, 317335.105465484317392 ], [ 240723.81182715453906, 317335.839617739897221 ], [ 240719.630303285783157, 317337.970210568688344 ], [ 240716.31182715453906, 317341.288686699932441 ], [ 240714.181234325747937, 317345.470210568688344 ], [ 240713.447082070168108, 317350.105465484317392 ], [ 240714.181234325747937, 317354.74072039994644 ], [ 240716.31182715453906, 317358.922244268702343 ], [ 240719.630303285783157, 317362.24072039994644 ], [ 240723.81182715453906, 317364.371313228737563 ], [ 240728.447082070168108, 317365.105465484317392 ], [ 240733.082336985797156, 317364.371313228737563 ], [ 240737.263860854553059, 317362.24072039994644 ], [ 240740.582336985797156, 317358.922244268702343 ], [ 240742.712929814588279, 317354.7407
2nd row[ [ [ [ 241890.720990138535853, 309555.676597789046355 ], [ 241889.986837882956024, 309551.041342873417307 ], [ 241887.856245054164901, 309546.859819004661404 ], [ 241884.537768922920804, 309543.541342873417307 ], [ 241880.356245054164901, 309541.410750044626184 ], [ 241875.720990138535853, 309540.676597789046355 ], [ 241871.085735222906806, 309541.410750044626184 ], [ 241866.904211354150902, 309543.541342873417307 ], [ 241863.585735222906806, 309546.859819004661404 ], [ 241861.455142394115683, 309551.041342873417307 ], [ 241860.720990138535853, 309555.676597789046355 ], [ 241861.455142394115683, 309560.311852704675402 ], [ 241863.585735222906806, 309564.493376573431306 ], [ 241866.904211354150902, 309567.811852704675402 ], [ 241871.085735222906806, 309569.942445533466525 ], [ 241875.720990138535853, 309570.676597789046355 ], [ 241880.356245054164901, 309569.942445533466525 ], [ 241884.537768922920804, 309567.811852704675402 ], [ 241887.856245054164901, 309564.493376573431306 ], [ 241889.986837882956024, 3095
3rd row[ [ [ [ 242442.325972577818902, 319604.318293974443804 ], [ 242441.591820322239073, 319599.683039058814757 ], [ 242439.46122749344795, 319595.501515190058853 ], [ 242436.142751362203853, 319592.183039058814757 ], [ 242431.96122749344795, 319590.052446230023634 ], [ 242427.325972577818902, 319589.318293974443804 ], [ 242422.690717662189854, 319590.052446230023634 ], [ 242418.509193793433951, 319592.183039058814757 ], [ 242415.190717662189854, 319595.501515190058853 ], [ 242413.060124833398731, 319599.683039058814757 ], [ 242412.325972577818902, 319604.318293974443804 ], [ 242413.060124833398731, 319608.953548890072852 ], [ 242415.190717662189854, 319613.135072758828755 ], [ 242418.509193793433951, 319616.453548890072852 ], [ 242422.690717662189854, 319618.584141718863975 ], [ 242427.325972577818902, 319619.318293974443804 ], [ 242431.96122749344795, 319618.584141718863975 ], [ 242436.142751362203853, 319616.453548890072852 ], [ 242439.46122749344795, 319613.135072758828755 ], [ 242441.591820322239073, 319608.9
4th row[ [ [ [ 239048.750841354980366, 316190.646957568009384 ], [ 239048.016689099400537, 316186.011702652380336 ], [ 239045.886096270609414, 316181.830178783624433 ], [ 239042.567620139365317, 316178.511702652380336 ], [ 239038.386096270609414, 316176.381109823589213 ], [ 239033.750841354980366, 316175.646957568009384 ], [ 239029.115586439351318, 316176.381109823589213 ], [ 239024.934062570595415, 316178.511702652380336 ], [ 239021.615586439351318, 316181.830178783624433 ], [ 239019.484993610560196, 316186.011702652380336 ], [ 239018.750841354980366, 316190.646957568009384 ], [ 239019.484993610560196, 316195.282212483638432 ], [ 239021.615586439351318, 316199.463736352394335 ], [ 239024.934062570595415, 316202.782212483638432 ], [ 239029.115586439351318, 316204.912805312429555 ], [ 239033.750841354980366, 316205.646957568009384 ], [ 239038.386096270609414, 316204.912805312429555 ], [ 239042.567620139365317, 316202.782212483638432 ], [ 239045.886096270609414, 316199.463736352394335 ], [ 239048.016689099400537, 3161
5th row[ [ [ [ 239581.034763414063491, 314533.166682407609187 ], [ 239580.300611158483662, 314528.531427491980139 ], [ 239578.170018329692539, 314524.349903623224236 ], [ 239574.851542198448442, 314521.031427491980139 ], [ 239570.670018329692539, 314518.900834663189016 ], [ 239566.034763414063491, 314518.166682407609187 ], [ 239561.399508498434443, 314518.900834663189016 ], [ 239557.21798462967854, 314521.031427491980139 ], [ 239553.899508498434443, 314524.349903623224236 ], [ 239551.76891566964332, 314528.531427491980139 ], [ 239551.034763414063491, 314533.166682407609187 ], [ 239551.76891566964332, 314537.801937323238235 ], [ 239553.899508498434443, 314541.983461191994138 ], [ 239557.21798462967854, 314545.301937323238235 ], [ 239561.399508498434443, 314547.432530152029358 ], [ 239566.034763414063491, 314548.166682407609187 ], [ 239570.670018329692539, 314547.432530152029358 ], [ 239574.851542198448442, 314545.301937323238235 ], [ 239578.170018329692539, 314541.983461191994138 ], [ 239580.300611158483662, 314537.8
ValueCountFrequency (%)
350668
51.2%
3158 41
 
< 0.1%
3159 39
 
< 0.1%
3153 39
 
< 0.1%
3145 38
 
< 0.1%
3142 38
 
< 0.1%
3141 36
 
< 0.1%
3160 36
 
< 0.1%
3131 36
 
< 0.1%
3166 35
 
< 0.1%
Other values (189952) 333624
48.7%
2023-12-12T19:58:03.994709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 925334
10.8%
2 808170
9.5%
1 767893
9.0%
676284
7.9%
4 655652
7.7%
5 630685
 
7.4%
6 624823
 
7.3%
7 622539
 
7.3%
8 620805
 
7.3%
9 616261
 
7.2%
Other values (5) 1600930
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6865340
80.3%
Space Separator 676284
 
7.9%
Other Punctuation 657084
 
7.7%
Open Punctuation 192031
 
2.2%
Close Punctuation 158637
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 925334
13.5%
2 808170
11.8%
1 767893
11.2%
4 655652
9.6%
5 630685
9.2%
6 624823
9.1%
7 622539
9.1%
8 620805
9.0%
9 616261
9.0%
0 593178
8.6%
Other Punctuation
ValueCountFrequency (%)
. 331468
50.4%
, 325616
49.6%
Space Separator
ValueCountFrequency (%)
676284
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 192031
100.0%
Close Punctuation
ValueCountFrequency (%)
] 158637
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8549376
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 925334
10.8%
2 808170
9.5%
1 767893
9.0%
676284
7.9%
4 655652
7.7%
5 630685
 
7.4%
6 624823
 
7.3%
7 622539
 
7.3%
8 620805
 
7.3%
9 616261
 
7.2%
Other values (5) 1600930
18.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8549376
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 925334
10.8%
2 808170
9.5%
1 767893
9.0%
676284
7.9%
4 655652
7.7%
5 630685
 
7.4%
6 624823
 
7.3%
7 622539
 
7.3%
8 620805
 
7.3%
9 616261
 
7.2%
Other values (5) 1600930
18.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
Minimum2021-12-06 00:00:00
Maximum2021-12-06 00:00:00
2023-12-12T19:58:04.204660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:58:04.346362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:57:57.591865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:57:57.212737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:57:57.751265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:57:57.407700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:58:04.497383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구시군구코드횡단보도 중심 경도횡단보도 중심 위도
시군구1.0001.0000.8490.649
시군구코드1.0001.0000.8490.649
횡단보도 중심 경도0.8490.8491.0000.703
횡단보도 중심 위도0.6490.6490.7031.000
2023-12-12T19:58:04.663686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구시군구코드
시군구1.0001.000
시군구코드1.0001.000
2023-12-12T19:58:04.812329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
횡단보도 중심 경도횡단보도 중심 위도시군구시군구코드
횡단보도 중심 경도1.000-0.0970.6950.695
횡단보도 중심 위도-0.0971.0000.4490.449
시군구0.6950.4491.0001.000
시군구코드0.6950.4491.0001.000

Missing values

2023-12-12T19:57:57.974327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:57:58.192681image/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

관리번호시군구시군구코드주소횡단보도 중심 경도횡단보도 중심 위도불법 주정차 금지구역데이터기준일자
06300000_CSW_00001동구30110대전광역시 동구 가양동 671번지127.45374836.353362[ [ [ [ 240743.447082070168108, 317350.105465484317392 ], [ 240742.712929814588279, 317345.470210568688344 ], [ 240740.582336985797156, 317341.288686699932441 ], [ 240737.263860854553059, 317337.970210568688344 ], [ 240733.082336985797156, 317335.839617739897221 ], [ 240728.447082070168108, 317335.105465484317392 ], [ 240723.81182715453906, 317335.839617739897221 ], [ 240719.630303285783157, 317337.970210568688344 ], [ 240716.31182715453906, 317341.288686699932441 ], [ 240714.181234325747937, 317345.470210568688344 ], [ 240713.447082070168108, 317350.105465484317392 ], [ 240714.181234325747937, 317354.74072039994644 ], [ 240716.31182715453906, 317358.922244268702343 ], [ 240719.630303285783157, 317362.24072039994644 ], [ 240723.81182715453906, 317364.371313228737563 ], [ 240728.447082070168108, 317365.105465484317392 ], [ 240733.082336985797156, 317364.371313228737563 ], [ 240737.263860854553059, 317362.24072039994644 ], [ 240740.582336985797156, 317358.922244268702343 ], [ 240742.712929814588279, 317354.74072021-12-06
16300000_CSW_00002동구30110대전광역시 동구 낭월동 308번지127.46611136.283073[ [ [ [ 241890.720990138535853, 309555.676597789046355 ], [ 241889.986837882956024, 309551.041342873417307 ], [ 241887.856245054164901, 309546.859819004661404 ], [ 241884.537768922920804, 309543.541342873417307 ], [ 241880.356245054164901, 309541.410750044626184 ], [ 241875.720990138535853, 309540.676597789046355 ], [ 241871.085735222906806, 309541.410750044626184 ], [ 241866.904211354150902, 309543.541342873417307 ], [ 241863.585735222906806, 309546.859819004661404 ], [ 241861.455142394115683, 309551.041342873417307 ], [ 241860.720990138535853, 309555.676597789046355 ], [ 241861.455142394115683, 309560.311852704675402 ], [ 241863.585735222906806, 309564.493376573431306 ], [ 241866.904211354150902, 309567.811852704675402 ], [ 241871.085735222906806, 309569.942445533466525 ], [ 241875.720990138535853, 309570.676597789046355 ], [ 241880.356245054164901, 309569.942445533466525 ], [ 241884.537768922920804, 309567.811852704675402 ], [ 241887.856245054164901, 309564.493376573431306 ], [ 241889.986837882956024, 30952021-12-06
26300000_CSW_00003동구30110대전광역시 동구 추동 327-8번지127.47279736.373602[ [ [ [ 242442.325972577818902, 319604.318293974443804 ], [ 242441.591820322239073, 319599.683039058814757 ], [ 242439.46122749344795, 319595.501515190058853 ], [ 242436.142751362203853, 319592.183039058814757 ], [ 242431.96122749344795, 319590.052446230023634 ], [ 242427.325972577818902, 319589.318293974443804 ], [ 242422.690717662189854, 319590.052446230023634 ], [ 242418.509193793433951, 319592.183039058814757 ], [ 242415.190717662189854, 319595.501515190058853 ], [ 242413.060124833398731, 319599.683039058814757 ], [ 242412.325972577818902, 319604.318293974443804 ], [ 242413.060124833398731, 319608.953548890072852 ], [ 242415.190717662189854, 319613.135072758828755 ], [ 242418.509193793433951, 319616.453548890072852 ], [ 242422.690717662189854, 319618.584141718863975 ], [ 242427.325972577818902, 319619.318293974443804 ], [ 242431.96122749344795, 319618.584141718863975 ], [ 242436.142751362203853, 319616.453548890072852 ], [ 242439.46122749344795, 319613.135072758828755 ], [ 242441.591820322239073, 319608.92021-12-06
36300000_CSW_00004동구30110대전광역시 동구 성남동 44-16번지127.4348136.342984[ [ [ [ 239048.750841354980366, 316190.646957568009384 ], [ 239048.016689099400537, 316186.011702652380336 ], [ 239045.886096270609414, 316181.830178783624433 ], [ 239042.567620139365317, 316178.511702652380336 ], [ 239038.386096270609414, 316176.381109823589213 ], [ 239033.750841354980366, 316175.646957568009384 ], [ 239029.115586439351318, 316176.381109823589213 ], [ 239024.934062570595415, 316178.511702652380336 ], [ 239021.615586439351318, 316181.830178783624433 ], [ 239019.484993610560196, 316186.011702652380336 ], [ 239018.750841354980366, 316190.646957568009384 ], [ 239019.484993610560196, 316195.282212483638432 ], [ 239021.615586439351318, 316199.463736352394335 ], [ 239024.934062570595415, 316202.782212483638432 ], [ 239029.115586439351318, 316204.912805312429555 ], [ 239033.750841354980366, 316205.646957568009384 ], [ 239038.386096270609414, 316204.912805312429555 ], [ 239042.567620139365317, 316202.782212483638432 ], [ 239045.886096270609414, 316199.463736352394335 ], [ 239048.016689099400537, 31612021-12-06
46300000_CSW_00005동구30110대전광역시 동구 대동 347-2번지127.44065536.328026[ [ [ [ 239581.034763414063491, 314533.166682407609187 ], [ 239580.300611158483662, 314528.531427491980139 ], [ 239578.170018329692539, 314524.349903623224236 ], [ 239574.851542198448442, 314521.031427491980139 ], [ 239570.670018329692539, 314518.900834663189016 ], [ 239566.034763414063491, 314518.166682407609187 ], [ 239561.399508498434443, 314518.900834663189016 ], [ 239557.21798462967854, 314521.031427491980139 ], [ 239553.899508498434443, 314524.349903623224236 ], [ 239551.76891566964332, 314528.531427491980139 ], [ 239551.034763414063491, 314533.166682407609187 ], [ 239551.76891566964332, 314537.801937323238235 ], [ 239553.899508498434443, 314541.983461191994138 ], [ 239557.21798462967854, 314545.301937323238235 ], [ 239561.399508498434443, 314547.432530152029358 ], [ 239566.034763414063491, 314548.166682407609187 ], [ 239570.670018329692539, 314547.432530152029358 ], [ 239574.851542198448442, 314545.301937323238235 ], [ 239578.170018329692539, 314541.983461191994138 ], [ 239580.300611158483662, 314537.82021-12-06
56300000_CSW_00006동구30110대전광역시 동구 삼성동 448-4번지127.42272636.336737[ [ [ [ 237966.989732279558666, 315492.643359285779297 ], [ 237966.255580023978837, 315488.008104370150249 ], [ 237964.124987195187714, 315483.826580501394346 ], [ 237960.806511063943617, 315480.508104370150249 ], [ 237956.624987195187714, 315478.377511541359127 ], [ 237951.989732279558666, 315477.643359285779297 ], [ 237947.354477363929618, 315478.377511541359127 ], [ 237943.172953495173715, 315480.508104370150249 ], [ 237939.854477363929618, 315483.826580501394346 ], [ 237937.723884535138495, 315488.008104370150249 ], [ 237936.989732279558666, 315492.643359285779297 ], [ 237937.723884535138495, 315497.278614201408345 ], [ 237939.854477363929618, 315501.460138070164248 ], [ 237943.172953495173715, 315504.778614201408345 ], [ 237947.354477363929618, 315506.909207030199468 ], [ 237951.989732279558666, 315507.643359285779297 ], [ 237956.624987195187714, 315506.909207030199468 ], [ 237960.806511063943617, 315504.778614201408345 ], [ 237964.124987195187714, 315501.460138070164248 ], [ 237966.255580023978837, 31542021-12-06
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