Overview

Dataset statistics

Number of variables9
Number of observations241
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.0 KiB
Average record size in memory76.5 B

Variable types

Numeric4
Text4
Categorical1

Dataset

Description해당 자료는 제주특별자치도 내 등록되어 있는 농산물가공시설 현황을 담고 있으며, 세부적으로는 행정동 정보 등 포함하고 있습니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15110831/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:24:27.710282
Analysis finished2023-12-12 09:24:30.432674
Duration2.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct241
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121
Minimum1
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T18:24:30.509767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q161
median121
Q3181
95-th percentile229
Maximum241
Range240
Interquartile range (IQR)120

Descriptive statistics

Standard deviation69.714896
Coefficient of variation (CV)0.57615616
Kurtosis-1.2
Mean121
Median Absolute Deviation (MAD)60
Skewness0
Sum29161
Variance4860.1667
MonotonicityStrictly increasing
2023-12-12T18:24:30.665892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
182 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
Other values (231) 231
95.9%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%
234 1
0.4%
233 1
0.4%
232 1
0.4%

일반정보
Text

Distinct200
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T18:24:30.975171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.0082988
Min length2

Characters and Unicode

Total characters2171
Distinct characters237
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)69.3%

Sample

1st row냠냠제주 농업회사법인(주)
2nd row농업회사법인(주) 제주향
3rd row농업회사법인 가뫼물(주)
4th row메밀밭에가시리
5th row은가비식품
ValueCountFrequency (%)
영농조합법인 58
 
16.0%
농업회사법인 37
 
10.2%
제주인제주 5
 
1.4%
농업회사법인(주 4
 
1.1%
제주특산 3
 
0.8%
한백푸드 3
 
0.8%
주식회사 3
 
0.8%
제주삼다알로에 3
 
0.8%
㈜제다푸드시스템 3
 
0.8%
㈜푸른들 3
 
0.8%
Other values (195) 240
66.3%
2023-12-12T18:24:31.453061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 144
 
6.6%
농 141
 
6.5%
인 137
 
6.3%
법 127
 
5.8%
121
 
5.6%
제 109
 
5.0%
영 87
 
4.0%
합 77
 
3.5%
조 77
 
3.5%
사 61
 
2.8%
Other values (227) 1090
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1907
87.8%
Space Separator 121
 
5.6%
Close Punctuation 46
 
2.1%
Open Punctuation 45
 
2.1%
Other Symbol 43
 
2.0%
Decimal Number 5
 
0.2%
Lowercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 144
 
7.6%
농 141
 
7.4%
인 137
 
7.2%
법 127
 
6.7%
제 109
 
5.7%
영 87
 
4.6%
합 77
 
4.0%
조 77
 
4.0%
사 61
 
3.2%
회 56
 
2.9%
Other values (216) 891
46.7%
Decimal Number
ValueCountFrequency (%)
2 1
20.0%
0 1
20.0%
5 1
20.0%
9 1
20.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 43
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1950
89.8%
Common 218
 
10.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 144
 
7.4%
농 141
 
7.2%
인 137
 
7.0%
법 127
 
6.5%
제 109
 
5.6%
영 87
 
4.5%
합 77
 
3.9%
조 77
 
3.9%
사 61
 
3.1%
회 56
 
2.9%
Other values (217) 934
47.9%
Common
ValueCountFrequency (%)
121
55.5%
) 46
 
21.1%
( 45
 
20.6%
2 1
 
0.5%
0 1
 
0.5%
5 1
 
0.5%
9 1
 
0.5%
1 1
 
0.5%
, 1
 
0.5%
Latin
ValueCountFrequency (%)
e 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1907
87.8%
ASCII 221
 
10.2%
None 43
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 144
 
7.6%
농 141
 
7.4%
인 137
 
7.2%
법 127
 
6.7%
제 109
 
5.7%
영 87
 
4.6%
합 77
 
4.0%
조 77
 
4.0%
사 61
 
3.2%
회 56
 
2.9%
Other values (216) 891
46.7%
ASCII
ValueCountFrequency (%)
121
54.8%
) 46
 
20.8%
( 45
 
20.4%
e 3
 
1.4%
2 1
 
0.5%
0 1
 
0.5%
5 1
 
0.5%
9 1
 
0.5%
1 1
 
0.5%
, 1
 
0.5%
None
ValueCountFrequency (%)
㈜ 43
100.0%

소재지 도로명주소
Text

Distinct155
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T18:24:31.704367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length20.352697
Min length15

Characters and Unicode

Total characters4905
Distinct characters147
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)45.6%

Sample

1st row제주특별자치도 제주시 조천읍 신조로
2nd row제주특별자치도 서귀포시 안덕면 병악로
3rd row제주특별자치도 서귀포시 남원읍 남위남성로
4th row제주특별자치도 서귀포시 표선면 가시로
5th row제주특별자치도 제주시 조천읍 신촌남1길
ValueCountFrequency (%)
제주특별자치도 241
27.0%
제주시 186
20.9%
서귀포시 55
 
6.2%
조천읍 47
 
5.3%
애월읍 32
 
3.6%
구좌읍 23
 
2.6%
대정읍 19
 
2.1%
남원읍 14
 
1.6%
한림읍 14
 
1.6%
일주서로3000번길 9
 
1.0%
Other values (133) 251
28.2%
2023-12-12T18:24:32.097267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
847
17.3%
주 454
 
9.3%
제 429
 
8.7%
도 256
 
5.2%
시 244
 
5.0%
치 243
 
5.0%
특 241
 
4.9%
별 241
 
4.9%
자 241
 
4.9%
로 161
 
3.3%
Other values (137) 1548
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3900
79.5%
Space Separator 847
 
17.3%
Decimal Number 158
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 454
 
11.6%
제 429
 
11.0%
도 256
 
6.6%
시 244
 
6.3%
치 243
 
6.2%
특 241
 
6.2%
별 241
 
6.2%
자 241
 
6.2%
로 161
 
4.1%
읍 159
 
4.1%
Other values (126) 1231
31.6%
Decimal Number
ValueCountFrequency (%)
0 37
23.4%
1 31
19.6%
3 24
15.2%
2 16
10.1%
8 14
 
8.9%
6 10
 
6.3%
7 8
 
5.1%
5 7
 
4.4%
4 6
 
3.8%
9 5
 
3.2%
Space Separator
ValueCountFrequency (%)
847
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3900
79.5%
Common 1005
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 454
 
11.6%
제 429
 
11.0%
도 256
 
6.6%
시 244
 
6.3%
치 243
 
6.2%
특 241
 
6.2%
별 241
 
6.2%
자 241
 
6.2%
로 161
 
4.1%
읍 159
 
4.1%
Other values (126) 1231
31.6%
Common
ValueCountFrequency (%)
847
84.3%
0 37
 
3.7%
1 31
 
3.1%
3 24
 
2.4%
2 16
 
1.6%
8 14
 
1.4%
6 10
 
1.0%
7 8
 
0.8%
5 7
 
0.7%
4 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3900
79.5%
ASCII 1005
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
847
84.3%
0 37
 
3.7%
1 31
 
3.1%
3 24
 
2.4%
2 16
 
1.6%
8 14
 
1.4%
6 10
 
1.0%
7 8
 
0.8%
5 7
 
0.7%
4 6
 
0.6%
Hangul
ValueCountFrequency (%)
주 454
 
11.6%
제 429
 
11.0%
도 256
 
6.6%
시 244
 
6.3%
치 243
 
6.2%
특 241
 
6.2%
별 241
 
6.2%
자 241
 
6.2%
로 161
 
4.1%
읍 159
 
4.1%
Other values (126) 1231
31.6%

소재지 지번주소
Text

Distinct104
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T18:24:32.369615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length19.082988
Min length14

Characters and Unicode

Total characters4599
Distinct characters114
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)21.6%

Sample

1st row제주특별자치도 제주시 조천읍 신촌리
2nd row제주특별자치도 서귀포시 안덕면 상창리
3rd row제주특별자치도 서귀포시 남원읍 남원리
4th row제주특별자치도 서귀포시 표선면 가시리
5th row제주특별자치도 제주시 조천읍 신촌리
ValueCountFrequency (%)
제주특별자치도 241
27.0%
제주시 186
20.9%
서귀포시 55
 
6.2%
조천읍 47
 
5.3%
애월읍 32
 
3.6%
구좌읍 23
 
2.6%
대정읍 19
 
2.1%
남원읍 14
 
1.6%
한림읍 14
 
1.6%
신촌리 13
 
1.5%
Other values (91) 247
27.7%
2023-12-12T18:24:32.789285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
872
19.0%
제 427
 
9.3%
주 427
 
9.3%
도 266
 
5.8%
시 244
 
5.3%
특 241
 
5.2%
별 241
 
5.2%
자 241
 
5.2%
치 241
 
5.2%
리 168
 
3.7%
Other values (104) 1231
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3723
81.0%
Space Separator 872
 
19.0%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 427
11.5%
주 427
11.5%
도 266
 
7.1%
시 244
 
6.6%
특 241
 
6.5%
별 241
 
6.5%
자 241
 
6.5%
치 241
 
6.5%
리 168
 
4.5%
읍 160
 
4.3%
Other values (101) 1067
28.7%
Decimal Number
ValueCountFrequency (%)
1 3
75.0%
2 1
 
25.0%
Space Separator
ValueCountFrequency (%)
872
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3723
81.0%
Common 876
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 427
11.5%
주 427
11.5%
도 266
 
7.1%
시 244
 
6.6%
특 241
 
6.5%
별 241
 
6.5%
자 241
 
6.5%
치 241
 
6.5%
리 168
 
4.5%
읍 160
 
4.3%
Other values (101) 1067
28.7%
Common
ValueCountFrequency (%)
872
99.5%
1 3
 
0.3%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3723
81.0%
ASCII 876
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
872
99.5%
1 3
 
0.3%
2 1
 
0.1%
Hangul
ValueCountFrequency (%)
제 427
11.5%
주 427
11.5%
도 266
 
7.1%
시 244
 
6.6%
특 241
 
6.5%
별 241
 
6.5%
자 241
 
6.5%
치 241
 
6.5%
리 168
 
4.5%
읍 160
 
4.3%
Other values (101) 1067
28.7%

행정동코드
Real number (ℝ)

Distinct89
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0114782 × 109
Minimum5.0110102 × 109
Maximum5.013032 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T18:24:32.955867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.0110102 × 109
5-th percentile5.0110108 × 109
Q15.011014 × 109
median5.0110256 × 109
Q35.011031 × 109
95-th percentile5.0130259 × 109
Maximum5.013032 × 109
Range2021825
Interquartile range (IQR)17022

Descriptive statistics

Standard deviation842204.41
Coefficient of variation (CV)0.00016805509
Kurtosis-0.30395232
Mean5.0114782 × 109
Median Absolute Deviation (MAD)5405
Skewness1.3031892
Sum1.2077662 × 1012
Variance7.0930827 × 1011
MonotonicityNot monotonic
2023-12-12T18:24:33.129893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5011025921 13
 
5.4%
5011025930 10
 
4.1%
5011025621 10
 
4.1%
5013025025 8
 
3.3%
5011025926 8
 
3.3%
5011025924 7
 
2.9%
5011013600 7
 
2.9%
5011010700 6
 
2.5%
5011025331 6
 
2.5%
5011025923 6
 
2.5%
Other values (79) 160
66.4%
ValueCountFrequency (%)
5011010200 3
1.2%
5011010400 1
 
0.4%
5011010500 1
 
0.4%
5011010600 1
 
0.4%
5011010700 6
2.5%
5011010800 1
 
0.4%
5011010900 1
 
0.4%
5011011100 3
1.2%
5011011300 1
 
0.4%
5011011600 1
 
0.4%
ValueCountFrequency (%)
5013032025 1
0.4%
5013032024 1
0.4%
5013032023 1
0.4%
5013032021 1
0.4%
5013031027 1
0.4%
5013031025 1
0.4%
5013031024 1
0.4%
5013025926 2
0.8%
5013025923 2
0.8%
5013025922 2
0.8%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct163
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.439494
Minimum33.198364
Maximum33.553356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T18:24:33.301993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.198364
5-th percentile33.257815
Q133.38496
median33.480318
Q333.51091
95-th percentile33.542672
Maximum33.553356
Range0.35499255
Interquartile range (IQR)0.1259494

Descriptive statistics

Standard deviation0.093465677
Coefficient of variation (CV)0.0027950685
Kurtosis-0.4952953
Mean33.439494
Median Absolute Deviation (MAD)0.03792927
Skewness-0.90431647
Sum8058.9182
Variance0.0087358329
MonotonicityNot monotonic
2023-12-12T18:24:33.449787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.25781542 7
 
2.9%
33.55192665 6
 
2.5%
33.51291128 5
 
2.1%
33.51623661 4
 
1.7%
33.44478758 4
 
1.7%
33.54267158 4
 
1.7%
33.501521 4
 
1.7%
33.5109097 3
 
1.2%
33.55335648 3
 
1.2%
33.51081772 3
 
1.2%
Other values (153) 198
82.2%
ValueCountFrequency (%)
33.19836393 1
 
0.4%
33.223864 1
 
0.4%
33.23330745 1
 
0.4%
33.24602034 1
 
0.4%
33.2495106 1
 
0.4%
33.25403085 1
 
0.4%
33.25655248 1
 
0.4%
33.25781542 7
2.9%
33.25939762 1
 
0.4%
33.25986964 2
 
0.8%
ValueCountFrequency (%)
33.55335648 3
1.2%
33.55192665 6
2.5%
33.55142617 1
 
0.4%
33.54745777 1
 
0.4%
33.54267158 4
1.7%
33.54258423 1
 
0.4%
33.53540286 1
 
0.4%
33.5353263 1
 
0.4%
33.53288718 2
 
0.8%
33.53120812 1
 
0.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct163
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.52901
Minimum126.18286
Maximum126.90319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T18:24:33.611608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.18286
5-th percentile126.22783
Q1126.36602
median126.55196
Q3126.67482
95-th percentile126.81747
Maximum126.90319
Range0.720329
Interquartile range (IQR)0.3087961

Descriptive statistics

Standard deviation0.18467105
Coefficient of variation (CV)0.0014595155
Kurtosis-0.90482347
Mean126.52901
Median Absolute Deviation (MAD)0.1306015
Skewness-0.070048818
Sum30493.492
Variance0.034103397
MonotonicityNot monotonic
2023-12-12T18:24:33.780488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.2278274 7
 
2.9%
126.7219751 6
 
2.5%
126.7045269 5
 
2.1%
126.5245555 4
 
1.7%
126.3375301 4
 
1.7%
126.7151767 4
 
1.7%
126.6766446 4
 
1.7%
126.6748209 3
 
1.2%
126.8174693 3
 
1.2%
126.5790658 3
 
1.2%
Other values (153) 198
82.2%
ValueCountFrequency (%)
126.1828563 1
 
0.4%
126.1866009 1
 
0.4%
126.1997146 1
 
0.4%
126.2165825 2
 
0.8%
126.2232208 1
 
0.4%
126.2278274 7
2.9%
126.2294033 1
 
0.4%
126.2295224 1
 
0.4%
126.2363036 1
 
0.4%
126.2433176 1
 
0.4%
ValueCountFrequency (%)
126.9031853 1
0.4%
126.9016056 1
0.4%
126.9011094 1
0.4%
126.8991608 1
0.4%
126.8991203 1
0.4%
126.8886087 2
0.8%
126.8814014 1
0.4%
126.8593247 1
0.4%
126.8528108 1
0.4%
126.8351762 1
0.4%

비고 외
Text

Distinct235
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T18:24:34.094264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length22
Mean length13.360996
Min length2

Characters and Unicode

Total characters3220
Distinct characters337
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)95.0%

Sample

1st row가공공장 165㎡, 가공장비 4종
2nd row저온저장고 616㎡, 가공장비 28대
3rd row쨈가공 오토쿡 식초 발효통 및 측정장비
4th row혼합기, 마킹기, 밴드실러(진공포장)
5th row포장기계, 닥트시설
ValueCountFrequency (%)
등 46
 
6.7%
및 25
 
3.6%
1식 12
 
1.8%
금속검출기 12
 
1.8%
가공공장 11
 
1.6%
분쇄기 11
 
1.6%
포장기 10
 
1.5%
외 9
 
1.3%
건조기 8
 
1.2%
생산설비 8
 
1.2%
Other values (423) 533
77.8%
2023-12-12T18:24:34.680123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
444
 
13.8%
기 232
 
7.2%
, 163
 
5.1%
장 121
 
3.8%
공 74
 
2.3%
설 65
 
2.0%
비 64
 
2.0%
포 62
 
1.9%
등 51
 
1.6%
동 47
 
1.5%
Other values (327) 1897
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2356
73.2%
Space Separator 444
 
13.8%
Other Punctuation 169
 
5.2%
Decimal Number 121
 
3.8%
Uppercase Letter 71
 
2.2%
Other Symbol 21
 
0.7%
Close Punctuation 14
 
0.4%
Open Punctuation 14
 
0.4%
Lowercase Letter 8
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 232
 
9.8%
장 121
 
5.1%
공 74
 
3.1%
설 65
 
2.8%
비 64
 
2.7%
포 62
 
2.6%
등 51
 
2.2%
동 47
 
2.0%
자 45
 
1.9%
조 45
 
1.9%
Other values (293) 1550
65.8%
Decimal Number
ValueCountFrequency (%)
1 32
26.4%
9 15
12.4%
2 13
10.7%
6 12
 
9.9%
0 11
 
9.1%
3 11
 
9.1%
4 10
 
8.3%
5 9
 
7.4%
8 6
 
5.0%
7 2
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
C 27
38.0%
H 13
18.3%
A 13
18.3%
P 13
18.3%
T 1
 
1.4%
W 1
 
1.4%
F 1
 
1.4%
S 1
 
1.4%
X 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
25.0%
e 1
12.5%
b 1
12.5%
l 1
12.5%
t 1
12.5%
r 1
12.5%
y 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 163
96.4%
. 5
 
3.0%
· 1
 
0.6%
Space Separator
ValueCountFrequency (%)
444
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2356
73.2%
Common 785
 
24.4%
Latin 79
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 232
 
9.8%
장 121
 
5.1%
공 74
 
3.1%
설 65
 
2.8%
비 64
 
2.7%
포 62
 
2.6%
등 51
 
2.2%
동 47
 
2.0%
자 45
 
1.9%
조 45
 
1.9%
Other values (293) 1550
65.8%
Common
ValueCountFrequency (%)
444
56.6%
, 163
 
20.8%
1 32
 
4.1%
㎡ 21
 
2.7%
9 15
 
1.9%
) 14
 
1.8%
( 14
 
1.8%
2 13
 
1.7%
6 12
 
1.5%
0 11
 
1.4%
Other values (8) 46
 
5.9%
Latin
ValueCountFrequency (%)
C 27
34.2%
H 13
16.5%
A 13
16.5%
P 13
16.5%
a 2
 
2.5%
e 1
 
1.3%
T 1
 
1.3%
b 1
 
1.3%
l 1
 
1.3%
t 1
 
1.3%
Other values (6) 6
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2356
73.2%
ASCII 842
 
26.1%
CJK Compat 21
 
0.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
444
52.7%
, 163
 
19.4%
1 32
 
3.8%
C 27
 
3.2%
9 15
 
1.8%
) 14
 
1.7%
( 14
 
1.7%
H 13
 
1.5%
2 13
 
1.5%
A 13
 
1.5%
Other values (22) 94
 
11.2%
Hangul
ValueCountFrequency (%)
기 232
 
9.8%
장 121
 
5.1%
공 74
 
3.1%
설 65
 
2.8%
비 64
 
2.7%
포 62
 
2.6%
등 51
 
2.2%
동 47
 
2.0%
자 45
 
1.9%
조 45
 
1.9%
Other values (293) 1550
65.8%
CJK Compat
ValueCountFrequency (%)
㎡ 21
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2022-11-03
241 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-03
2nd row2022-11-03
3rd row2022-11-03
4th row2022-11-03
5th row2022-11-03

Common Values

ValueCountFrequency (%)
2022-11-03 241
100.0%

Length

2023-12-12T18:24:34.845436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:24:34.952500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-03 241
100.0%

Interactions

2023-12-12T18:24:29.316083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:28.176322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:28.495254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:28.872458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:29.422289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:28.247877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:28.576413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:28.962101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:29.552451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:28.336458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:28.681031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:29.066671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:29.676090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:28.413880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:28.774187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:24:29.162684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:24:35.015057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호행정동코드위도경도
번호1.0000.0000.0000.152
행정동코드0.0001.0000.9850.483
위도0.0000.9851.0000.847
경도0.1520.4830.8471.000
2023-12-12T18:24:35.139136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호행정동코드위도경도
번호1.000-0.0730.035-0.010
행정동코드-0.0731.000-0.4240.230
위도0.035-0.4241.0000.530
경도-0.0100.2300.5301.000

Missing values

2023-12-12T18:24:30.191602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:24:30.380885image/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

번호일반정보소재지 도로명주소소재지 지번주소행정동코드위도경도비고 외데이터기준일자
01냠냠제주 농업회사법인(주)제주특별자치도 제주시 조천읍 신조로제주특별자치도 제주시 조천읍 신촌리501102592133.519463126.63226가공공장 165㎡, 가공장비 4종2022-11-03
12농업회사법인(주) 제주향제주특별자치도 서귀포시 안덕면 병악로제주특별자치도 서귀포시 안덕면 상창리501303102433.280779126.363033저온저장고 616㎡, 가공장비 28대2022-11-03
23농업회사법인 가뫼물(주)제주특별자치도 서귀포시 남원읍 남위남성로제주특별자치도 서귀포시 남원읍 남원리501302532133.289952126.693456쨈가공 오토쿡 식초 발효통 및 측정장비2022-11-03
34메밀밭에가시리제주특별자치도 서귀포시 표선면 가시로제주특별자치도 서귀포시 표선면 가시리501303202433.346717126.783167혼합기, 마킹기, 밴드실러(진공포장)2022-11-03
45은가비식품제주특별자치도 제주시 조천읍 신촌남1길제주특별자치도 제주시 조천읍 신촌리501102592133.529457126.617969포장기계, 닥트시설2022-11-03
56제주과랑제주특별자치도 서귀포시 성산읍 난산온평로제주특별자치도 서귀포시 성산읍 온평리501302592633.405915126.8886091열스파우트 자동포장기계(안전캡캡핑)2022-11-03
67㈜탐나는초콜릿제주특별자치도 제주시 조천읍 함덕남12길제주특별자치도 제주시 조천읍 함덕리501102592433.527297126.670143알루미늄 금속검출기, 자동수축포장기2022-11-03
78제주민속식품, 사월의꿩제주특별자치도 제주시 구좌읍 번영로제주특별자치도 제주시 구좌읍 송당리501102562533.427916126.7509742중중탕교반탱크, 2구실린처중전기 등2022-11-03
89㈜에버그린제이제주특별자치도 제주시 조천읍 함덕남16길제주특별자치도 제주시 조천읍 함덕리501102592433.529462126.670241X-ray 금속검출기2022-11-03
910농업회사법인 술도가제주바당(주)제주특별자치도 제주시 구좌읍 종달로5길제주특별자치도 제주시 구좌읍 종달리501102563233.493486126.89912콤프레셔, 교반기, 턴테이블, 자동병입기 등2022-11-03
번호일반정보소재지 도로명주소소재지 지번주소행정동코드위도경도비고 외데이터기준일자
231232고성2리새마을회제주특별자치도 제주시 애월읍 고성남길제주특별자치도 제주시 애월읍 고성리501102532933.435016126.425952진공포장기외6종2022-11-03
232233신농영농조합법인제주특별자치도 서귀포시 성산읍 병문로제주특별자치도 서귀포시 성산읍 오조리501302592233.458497126.901109가공건조장405㎡2022-11-03
233234맛든마을 영농조합법인제주특별자치도 제주시 논세길제주특별자치도 제주시 내도동501101400033.483809126.442891저온저장고100㎡ 집하장82㎡2022-11-03
234235어머니 영농조합법인제주특별자치도 제주시 조천읍 신촌남8길제주특별자치도 제주시 조천읍 신촌리501102592133.50896126.633061건축및구조변경, 공조,배관시설등2022-11-03
235236농업회사법인 주)일해제주특별자치도 제주시 조천읍 함와로제주특별자치도 제주시 조천읍 대흘리501102592633.51091126.674821바닥,배수구,닥트, 창호공사등2022-11-03
236237제주특산제주특별자치도 제주시 도련6길제주특별자치도 제주시 도련일동501101300033.510818126.579066저장시설132㎡2022-11-03
237238e제주영농법인제주특별자치도 제주시 조천읍 신와로제주특별자치도 제주시 조천읍 신촌리501102592133.518514126.620102가공장비1대 자동충진기1대2022-11-03
238239술도가 제주바당제주특별자치도 제주시 구좌읍 종달로5길제주특별자치도 제주시 구좌읍 종달리501102563233.49347126.899161대형압력솥,라벨부착기,병입기반자동,이송펌프, 발효조2022-11-03
239240대산영농조합법인제주특별자치도 제주시 애월읍 애원로제주특별자치도 제주시 애월읍 상가리501102533133.444636126.337537씰링기 및 캡공급기라인 교체2022-11-03
240241한라산식품제주특별자치도 제주시 진남로10길제주특별자치도 제주시 화북일동501101110033.523169126.5671건조기, 분쇄기, 혼합기 등2022-11-03