Overview

Dataset statistics

Number of variables10
Number of observations5435
Missing cells1122
Missing cells (%)2.1%
Duplicate rows1139
Duplicate rows (%)21.0%
Total size in memory446.0 KiB
Average record size in memory84.0 B

Variable types

Categorical3
Numeric3
Text4

Dataset

Description해외 농식품 수출지원 및 판로개척을 위하여, 해외 바이어들과 수출을 원하는 국내 수출업체를 중심으로 수출 상담회를 추진한 결과 데이터
URLhttps://www.data.go.kr/data/15117847/fileData.do

Alerts

Dataset has 1139 (21.0%) duplicate rowsDuplicates
년 is highly overall correlated with 달 and 2 other fieldsHigh correlation
상담회아이디 is highly overall correlated with 달 and 3 other fieldsHigh correlation
상담회주소 is highly overall correlated with 달 and 3 other fieldsHigh correlation
달 is highly overall correlated with 상담회아이디 and 2 other fieldsHigh correlation
일 is highly overall correlated with 상담회아이디 and 1 other fieldsHigh correlation
주소 has 648 (11.9%) missing valuesMissing
홈페이지 has 447 (8.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 23:09:11.532180
Analysis finished2023-12-12 23:09:13.355991
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상담회아이디
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size42.6 KiB
2019 상반기 대규모 수출상담회(BKF)
1679 
2018 하반기 대규모 수출상담회(BKF)
905 
2018 평창올림픽 연계 대규모 수출상담회(BKF)
859 
2018 거대 신흥시장 바이어 초청 수출상담회(업체선정완료)
840 
2019 하반기 대규모 수출상담회(BKF)
439 
Other values (4)
713 

Length

Max length33
Median length23
Mean length24.943514
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018 평창올림픽 연계 대규모 수출상담회(BKF)
2nd row2018 평창올림픽 연계 대규모 수출상담회(BKF)
3rd row2018 평창올림픽 연계 대규모 수출상담회(BKF)
4th row2018 평창올림픽 연계 대규모 수출상담회(BKF)
5th row2018 평창올림픽 연계 대규모 수출상담회(BKF)

Common Values

ValueCountFrequency (%)
2019 상반기 대규모 수출상담회(BKF) 1679
30.9%
2018 하반기 대규모 수출상담회(BKF) 905
16.7%
2018 평창올림픽 연계 대규모 수출상담회(BKF) 859
15.8%
2018 거대 신흥시장 바이어 초청 수출상담회(업체선정완료) 840
15.5%
2019 하반기 대규모 수출상담회(BKF) 439
 
8.1%
2018 LA K-FOOD FAIR 356
 
6.6%
2019 LA K-FOOD FAIR 237
 
4.4%
재외공관 연계 신규바이어 초청 비즈니스 상담회 117
 
2.2%
2020 온라인 바이어초청 수출상담회(BKF) 3
 
0.1%

Length

2023-12-13T08:09:13.427583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:09:13.549640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수출상담회(bkf 3885
15.8%
대규모 3882
15.8%
2018 2960
12.1%
2019 2355
9.6%
상반기 1679
 
6.8%
하반기 1344
 
5.5%
연계 976
 
4.0%
초청 957
 
3.9%
평창올림픽 859
 
3.5%
거대 840
 
3.4%
Other values (13) 4776
19.5%

상담회주소
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size42.6 KiB
aT센터 1층 제1전시장
1679 
aT 센터
905 
aT 센터 / 제2전시장 A홀
859 
서울 그랜드 하얏트 호텔 그랜드볼룸
840 
aT센터
439 
Other values (4)
713 

Length

Max length38
Median length20
Mean length14.266421
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowaT 센터 / 제2전시장 A홀
2nd rowaT 센터 / 제2전시장 A홀
3rd rowaT 센터 / 제2전시장 A홀
4th rowaT 센터 / 제2전시장 A홀
5th rowaT 센터 / 제2전시장 A홀

Common Values

ValueCountFrequency (%)
aT센터 1층 제1전시장 1679
30.9%
aT 센터 905
16.7%
aT 센터 / 제2전시장 A홀 859
15.8%
서울 그랜드 하얏트 호텔 그랜드볼룸 840
15.5%
aT센터 439
 
8.1%
Sheraton Grand Los Angeles 356
 
6.6%
Inter Continental Los Angeles Downtown 237
 
4.4%
aT센터 5층 대회의실 117
 
2.2%
서울 aT센터 제2전시장 또는 회의실 3
 
0.1%

Length

2023-12-13T08:09:13.675523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:09:13.774809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
at센터 2238
11.9%
at 1764
 
9.4%
센터 1764
 
9.4%
제1전시장 1679
 
9.0%
1층 1679
 
9.0%
제2전시장 862
 
4.6%
859
 
4.6%
a홀 859
 
4.6%
서울 843
 
4.5%
호텔 840
 
4.5%
Other values (14) 5369
28.6%

년
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.6 KiB
2018
3077 
2019
2355 
2020
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 3077
56.6%
2019 2355
43.3%
2020 3
 
0.1%

Length

2023-12-13T08:09:13.880124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:09:13.952265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 3077
56.6%
2019 2355
43.3%
2020 3
 
0.1%

달
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0631095
Minimum2
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.9 KiB
2023-12-13T08:09:14.021804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15
median7
Q310
95-th percentile11
Maximum11
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.18932
Coefficient of variation (CV)0.45154616
Kurtosis-1.3954179
Mean7.0631095
Median Absolute Deviation (MAD)3
Skewness-0.21798481
Sum38388
Variance10.171762
MonotonicityNot monotonic
2023-12-13T08:09:14.098369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 1679
30.9%
10 1347
24.8%
2 859
15.8%
11 840
15.5%
9 356
 
6.6%
7 237
 
4.4%
6 117
 
2.2%
ValueCountFrequency (%)
2 859
15.8%
5 1679
30.9%
6 117
 
2.2%
7 237
 
4.4%
9 356
 
6.6%
10 1347
24.8%
11 840
15.5%
ValueCountFrequency (%)
11 840
15.5%
10 1347
24.8%
9 356
 
6.6%
7 237
 
4.4%
6 117
 
2.2%
5 1679
30.9%
2 859
15.8%

일
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.622815
Minimum5
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.9 KiB
2023-12-13T08:09:14.171983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q122
median22
Q323
95-th percentile24
Maximum24
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.31712
Coefficient of variation (CV)0.25782707
Kurtosis3.0905094
Mean20.622815
Median Absolute Deviation (MAD)1
Skewness-2.1861622
Sum112085
Variance28.271765
MonotonicityNot monotonic
2023-12-13T08:09:14.251570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
22 2580
47.5%
23 1237
22.8%
24 905
 
16.7%
6 356
 
6.6%
10 237
 
4.4%
5 117
 
2.2%
21 3
 
0.1%
ValueCountFrequency (%)
5 117
 
2.2%
6 356
 
6.6%
10 237
 
4.4%
21 3
 
0.1%
22 2580
47.5%
23 1237
22.8%
24 905
 
16.7%
ValueCountFrequency (%)
24 905
 
16.7%
23 1237
22.8%
22 2580
47.5%
21 3
 
0.1%
10 237
 
4.4%
6 356
 
6.6%
5 117
 
2.2%

업체명
Text

Distinct760
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size42.6 KiB
2023-12-13T08:09:14.524957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length42
Mean length19.561178
Min length3

Characters and Unicode

Total characters106315
Distinct characters74
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

Unique20 ?
Unique (%)0.4%

Sample

1st rowSAMJIN GLOBALNET
2nd rowHURUM CO.,LTD
3rd rowkkokdam
4th rowKURAKURA
5th rowTaewoongfood Co.,Ltd.
ValueCountFrequency (%)
co 1735
 
10.9%
ltd 1551
 
9.8%
co.,ltd 1022
 
6.4%
food 562
 
3.5%
corporation 432
 
2.7%
corp 257
 
1.6%
korea 237
 
1.5%
foods 210
 
1.3%
agricultural 195
 
1.2%
inc 184
 
1.2%
Other values (917) 9501
59.8%
2023-12-13T08:09:14.963935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10467
 
9.8%
O 6800
 
6.4%
o 5378
 
5.1%
. 4782
 
4.5%
C 4446
 
4.2%
L 4071
 
3.8%
A 3730
 
3.5%
N 3631
 
3.4%
D 3426
 
3.2%
T 3189
 
3.0%
Other values (64) 56395
53.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 51966
48.9%
Lowercase Letter 33753
31.7%
Space Separator 10467
 
9.8%
Other Punctuation 7795
 
7.3%
Decimal Number 1111
 
1.0%
Close Punctuation 512
 
0.5%
Open Punctuation 512
 
0.5%
Dash Punctuation 169
 
0.2%
Final Punctuation 28
 
< 0.1%
Other Letter 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 6800
13.1%
C 4446
 
8.6%
L 4071
 
7.8%
A 3730
 
7.2%
N 3631
 
7.0%
D 3426
 
6.6%
T 3189
 
6.1%
E 2906
 
5.6%
I 2605
 
5.0%
R 2506
 
4.8%
Other values (16) 14656
28.2%
Lowercase Letter
ValueCountFrequency (%)
o 5378
15.9%
a 3112
 
9.2%
n 2891
 
8.6%
e 2569
 
7.6%
r 2520
 
7.5%
t 2445
 
7.2%
d 2070
 
6.1%
i 1814
 
5.4%
g 1430
 
4.2%
l 1339
 
4.0%
Other values (16) 8185
24.2%
Decimal Number
ValueCountFrequency (%)
0 248
22.3%
2 208
18.7%
1 199
17.9%
3 127
11.4%
9 78
 
7.0%
7 63
 
5.7%
5 58
 
5.2%
8 47
 
4.2%
4 45
 
4.1%
6 38
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 4782
61.3%
, 2693
34.5%
& 270
 
3.5%
' 50
 
0.6%
Close Punctuation
ValueCountFrequency (%)
] 510
99.6%
) 2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
[ 510
99.6%
( 2
 
0.4%
Space Separator
ValueCountFrequency (%)
10467
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 28
100.0%
Other Letter
ValueCountFrequency (%)
주 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 85719
80.6%
Common 20594
 
19.4%
Hangul 2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 6800
 
7.9%
o 5378
 
6.3%
C 4446
 
5.2%
L 4071
 
4.7%
A 3730
 
4.4%
N 3631
 
4.2%
D 3426
 
4.0%
T 3189
 
3.7%
a 3112
 
3.6%
E 2906
 
3.4%
Other values (42) 45030
52.5%
Common
ValueCountFrequency (%)
10467
50.8%
. 4782
23.2%
, 2693
 
13.1%
] 510
 
2.5%
[ 510
 
2.5%
& 270
 
1.3%
0 248
 
1.2%
2 208
 
1.0%
1 199
 
1.0%
- 169
 
0.8%
Other values (11) 538
 
2.6%
Hangul
ValueCountFrequency (%)
주 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106285
> 99.9%
Punctuation 28
 
< 0.1%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10467
 
9.8%
O 6800
 
6.4%
o 5378
 
5.1%
. 4782
 
4.5%
C 4446
 
4.2%
L 4071
 
3.8%
A 3730
 
3.5%
N 3631
 
3.4%
D 3426
 
3.2%
T 3189
 
3.0%
Other values (62) 56365
53.0%
Punctuation
ValueCountFrequency (%)
’ 28
100.0%
Hangul
ValueCountFrequency (%)
주 2
100.0%

업종
Text

Distinct532
Distinct (%)9.8%
Missing3
Missing (%)0.1%
Memory size42.6 KiB
2023-12-13T08:09:15.176520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length8.2115243
Min length1

Characters and Unicode

Total characters44605
Distinct characters302
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

Unique12 ?
Unique (%)0.2%

Sample

1st row무역업, 임대
2nd row식품,잡화,무역
3rd row꽃차,기타
4th row도소매(차류)
5th row인삼, 홍삼제품, 음료류 제조도소매, 수출, 무역
ValueCountFrequency (%)
무역 621
 
6.4%
제조업 559
 
5.8%
제조 512
 
5.3%
식품 376
 
3.9%
도소매 314
 
3.2%
및 257
 
2.7%
무역업 237
 
2.4%
농산물 223
 
2.3%
음료 138
 
1.4%
다류 134
 
1.4%
Other values (540) 6318
65.2%
2023-12-13T08:09:15.576637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4264
 
9.6%
, 3667
 
8.2%
업 2150
 
4.8%
품 2017
 
4.5%
식 1941
 
4.4%
조 1876
 
4.2%
제 1872
 
4.2%
무 1352
 
3.0%
역 1338
 
3.0%
물 1222
 
2.7%
Other values (292) 22906
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35266
79.1%
Space Separator 4264
 
9.6%
Other Punctuation 4154
 
9.3%
Lowercase Letter 361
 
0.8%
Open Punctuation 226
 
0.5%
Close Punctuation 226
 
0.5%
Uppercase Letter 108
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 2150
 
6.1%
품 2017
 
5.7%
식 1941
 
5.5%
조 1876
 
5.3%
제 1872
 
5.3%
무 1352
 
3.8%
역 1338
 
3.8%
물 1222
 
3.5%
산 1201
 
3.4%
농 1075
 
3.0%
Other values (260) 19222
54.5%
Lowercase Letter
ValueCountFrequency (%)
a 68
18.8%
n 50
13.9%
e 45
12.5%
t 34
9.4%
r 34
9.4%
u 23
 
6.4%
o 18
 
5.0%
i 16
 
4.4%
c 16
 
4.4%
g 16
 
4.4%
Other values (5) 41
11.4%
Uppercase Letter
ValueCountFrequency (%)
M 24
22.2%
H 15
13.9%
R 15
13.9%
O 9
 
8.3%
B 9
 
8.3%
N 9
 
8.3%
T 9
 
8.3%
E 9
 
8.3%
C 9
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 3667
88.3%
. 238
 
5.7%
/ 230
 
5.5%
* 16
 
0.4%
& 3
 
0.1%
Space Separator
ValueCountFrequency (%)
4264
100.0%
Open Punctuation
ValueCountFrequency (%)
( 226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35266
79.1%
Common 8870
 
19.9%
Latin 469
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 2150
 
6.1%
품 2017
 
5.7%
식 1941
 
5.5%
조 1876
 
5.3%
제 1872
 
5.3%
무 1352
 
3.8%
역 1338
 
3.8%
물 1222
 
3.5%
산 1201
 
3.4%
농 1075
 
3.0%
Other values (260) 19222
54.5%
Latin
ValueCountFrequency (%)
a 68
14.5%
n 50
 
10.7%
e 45
 
9.6%
t 34
 
7.2%
r 34
 
7.2%
M 24
 
5.1%
u 23
 
4.9%
o 18
 
3.8%
i 16
 
3.4%
c 16
 
3.4%
Other values (14) 141
30.1%
Common
ValueCountFrequency (%)
4264
48.1%
, 3667
41.3%
. 238
 
2.7%
/ 230
 
2.6%
( 226
 
2.5%
) 226
 
2.5%
* 16
 
0.2%
& 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35266
79.1%
ASCII 9339
 
20.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4264
45.7%
, 3667
39.3%
. 238
 
2.5%
/ 230
 
2.5%
( 226
 
2.4%
) 226
 
2.4%
a 68
 
0.7%
n 50
 
0.5%
e 45
 
0.5%
t 34
 
0.4%
Other values (22) 291
 
3.1%
Hangul
ValueCountFrequency (%)
업 2150
 
6.1%
품 2017
 
5.7%
식 1941
 
5.5%
조 1876
 
5.3%
제 1872
 
5.3%
무 1352
 
3.8%
역 1338
 
3.8%
물 1222
 
3.5%
산 1201
 
3.4%
농 1075
 
3.0%
Other values (260) 19222
54.5%

설립년도
Real number (ℝ)

Distinct71
Distinct (%)1.3%
Missing24
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1997.9738
Minimum201
Maximum2028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.9 KiB
2023-12-13T08:09:15.701633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201
5-th percentile1963
Q11999
median2007
Q32014
95-th percentile2017
Maximum2028
Range1827
Interquartile range (IQR)15

Descriptive statistics

Standard deviation84.691619
Coefficient of variation (CV)0.042388754
Kurtosis381.83216
Mean1997.9738
Median Absolute Deviation (MAD)7
Skewness-18.904418
Sum10811036
Variance7172.6703
MonotonicityNot monotonic
2023-12-13T08:09:15.837961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2016 365
 
6.7%
2015 336
 
6.2%
2014 323
 
5.9%
2013 283
 
5.2%
2009 277
 
5.1%
2017 265
 
4.9%
2011 258
 
4.7%
2007 225
 
4.1%
2012 204
 
3.8%
2000 178
 
3.3%
Other values (61) 2697
49.6%
ValueCountFrequency (%)
201 3
 
0.1%
210 4
 
0.1%
213 3
 
0.1%
1074 6
 
0.1%
1905 26
0.5%
1908 2
 
< 0.1%
1926 11
0.2%
1945 8
 
0.1%
1946 27
0.5%
1950 10
 
0.2%
ValueCountFrequency (%)
2028 2
 
< 0.1%
2020 2
 
< 0.1%
2019 34
 
0.6%
2018 88
 
1.6%
2017 265
4.9%
2016 365
6.7%
2015 336
6.2%
2014 323
5.9%
2013 283
5.2%
2012 204
3.8%

주소
Text

MISSING 

Distinct755
Distinct (%)15.8%
Missing648
Missing (%)11.9%
Memory size42.6 KiB
2023-12-13T08:09:16.124041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length116
Median length84
Mean length60.045331
Min length11

Characters and Unicode

Total characters287437
Distinct characters83
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)0.4%

Sample

1st row562, Samseong-ro, Gangnam-gu, Seoul, Republic of Korea
2nd row115, Gasan digital 2-ro, Geumcheon-gu, Seoul
3rd row402, 22, Nonhyeon-ro 36-gil, Gangnam-gu, Seoul, Republic of Korea
4th row21 Daegeum-ro 196 beon-gil, Daeso-myeon, Eumseong-gun, Chungcheongbuk-do, Korea
5th row218, Dusan-gil, Munsan-eup, Jinju-si, Gyeongsangnam-do
ValueCountFrequency (%)
korea 2529
 
8.6%
seoul 1060
 
3.6%
of 950
 
3.2%
republic 846
 
2.9%
gyeonggi-do 793
 
2.7%
gyeongsangbuk-do 299
 
1.0%
gangnam-gu 268
 
0.9%
gyeongsangnam-do 245
 
0.8%
gangwon-do 224
 
0.8%
chungcheongnam-do 203
 
0.7%
Other values (2074) 22108
74.9%
2023-12-13T08:09:16.600831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24973
 
8.7%
o 24158
 
8.4%
n 21054
 
7.3%
, 19013
 
6.6%
g 17703
 
6.2%
e 17162
 
6.0%
- 16287
 
5.7%
a 14173
 
4.9%
u 11191
 
3.9%
i 7794
 
2.7%
Other values (73) 113929
39.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 163888
57.0%
Uppercase Letter 40562
 
14.1%
Space Separator 24973
 
8.7%
Decimal Number 21495
 
7.5%
Other Punctuation 19908
 
6.9%
Dash Punctuation 16287
 
5.7%
Open Punctuation 134
 
< 0.1%
Close Punctuation 134
 
< 0.1%
Other Letter 25
 
< 0.1%
Math Symbol 16
 
< 0.1%
Other values (3) 15
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 24158
14.7%
n 21054
12.8%
g 17703
10.8%
e 17162
10.5%
a 14173
8.6%
u 11191
 
6.8%
i 7794
 
4.8%
r 6303
 
3.8%
l 5950
 
3.6%
s 5102
 
3.1%
Other values (15) 33298
20.3%
Uppercase Letter
ValueCountFrequency (%)
G 6118
15.1%
S 3780
 
9.3%
O 3171
 
7.8%
K 3132
 
7.7%
N 2839
 
7.0%
E 2170
 
5.3%
R 2136
 
5.3%
A 2054
 
5.1%
C 1872
 
4.6%
D 1751
 
4.3%
Other values (14) 11539
28.4%
Decimal Number
ValueCountFrequency (%)
1 4412
20.5%
2 2739
12.7%
3 2348
10.9%
4 2105
9.8%
5 2005
9.3%
0 2000
9.3%
7 1680
 
7.8%
6 1487
 
6.9%
8 1396
 
6.5%
9 1323
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 19013
95.5%
. 314
 
1.6%
# 304
 
1.5%
? 189
 
0.9%
/ 36
 
0.2%
: 31
 
0.2%
& 15
 
0.1%
' 6
 
< 0.1%
Other Letter
ValueCountFrequency (%)
ㅏ 5
20.0%
ㅐ 5
20.0%
ㄱ 5
20.0%
ㄷ 5
20.0%
ㅁ 5
20.0%
Open Punctuation
ValueCountFrequency (%)
( 127
94.8%
[ 7
 
5.2%
Close Punctuation
ValueCountFrequency (%)
) 127
94.8%
] 7
 
5.2%
Math Symbol
ValueCountFrequency (%)
< 8
50.0%
> 8
50.0%
Space Separator
ValueCountFrequency (%)
24973
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16287
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 204459
71.1%
Common 82953
28.9%
Hangul 25
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 24158
 
11.8%
n 21054
 
10.3%
g 17703
 
8.7%
e 17162
 
8.4%
a 14173
 
6.9%
u 11191
 
5.5%
i 7794
 
3.8%
r 6303
 
3.1%
G 6118
 
3.0%
l 5950
 
2.9%
Other values (40) 72853
35.6%
Common
ValueCountFrequency (%)
24973
30.1%
, 19013
22.9%
- 16287
19.6%
1 4412
 
5.3%
2 2739
 
3.3%
3 2348
 
2.8%
4 2105
 
2.5%
5 2005
 
2.4%
0 2000
 
2.4%
7 1680
 
2.0%
Other values (18) 5391
 
6.5%
Hangul
ValueCountFrequency (%)
ㅏ 5
20.0%
ㅐ 5
20.0%
ㄱ 5
20.0%
ㄷ 5
20.0%
ㅁ 5
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 287403
> 99.9%
Compat Jamo 25
 
< 0.1%
Number Forms 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24973
 
8.7%
o 24158
 
8.4%
n 21054
 
7.3%
, 19013
 
6.6%
g 17703
 
6.2%
e 17162
 
6.0%
- 16287
 
5.7%
a 14173
 
4.9%
u 11191
 
3.9%
i 7794
 
2.7%
Other values (67) 113895
39.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅏ 5
20.0%
ㅐ 5
20.0%
ㄱ 5
20.0%
ㄷ 5
20.0%
ㅁ 5
20.0%

홈페이지
Text

MISSING 

Distinct620
Distinct (%)12.4%
Missing447
Missing (%)8.2%
Memory size42.6 KiB
2023-12-13T08:09:16.808563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length53
Mean length17.64154
Min length1

Characters and Unicode

Total characters87996
Distinct characters97
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.2%

Sample

1st rowhttp://www.wangfood.com/
2nd rowhurumcorp.com/
3rd rowwww.iloveflowertea.com
4th rowkurakura.co.kr
5th rowhttp://www.twfood.co.kr
ValueCountFrequency (%)
n 273
 
5.3%
www 46
 
0.9%
www.hskimchi.co.kr 34
 
0.7%
https://success20162018.modoo.at 31
 
0.6%
http://www.ypfoods.co.kr 30
 
0.6%
www.gbci.co.kr 28
 
0.5%
younmifoods.com 28
 
0.5%
www.teazen.co.kr 28
 
0.5%
www.foodtrade.co.kr 28
 
0.5%
http://hanmirae.kr 28
 
0.5%
Other values (617) 4560
89.2%
2023-12-13T08:09:17.147341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 12603
14.3%
. 10976
12.5%
o 8977
 
10.2%
c 5229
 
5.9%
r 4517
 
5.1%
m 4057
 
4.6%
e 3831
 
4.4%
a 3764
 
4.3%
k 3460
 
3.9%
n 3233
 
3.7%
Other values (87) 27349
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 71486
81.2%
Other Punctuation 14268
 
16.2%
Decimal Number 872
 
1.0%
Uppercase Letter 866
 
1.0%
Dash Punctuation 197
 
0.2%
Space Separator 166
 
0.2%
Other Letter 116
 
0.1%
Math Symbol 13
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 12603
17.6%
o 8977
12.6%
c 5229
 
7.3%
r 4517
 
6.3%
m 4057
 
5.7%
e 3831
 
5.4%
a 3764
 
5.3%
k 3460
 
4.8%
n 3233
 
4.5%
t 3123
 
4.4%
Other values (16) 18692
26.1%
Other Letter
ValueCountFrequency (%)
음 16
13.8%
없 16
13.8%
니 13
11.2%
오 10
 
8.6%
갈 10
 
8.6%
마 10
 
8.6%
젓 5
 
4.3%
적 5
 
4.3%
한 3
 
2.6%
과 3
 
2.6%
Other values (15) 25
21.6%
Uppercase Letter
ValueCountFrequency (%)
N 289
33.4%
W 151
17.4%
O 59
 
6.8%
C 52
 
6.0%
S 45
 
5.2%
K 41
 
4.7%
H 28
 
3.2%
M 22
 
2.5%
A 20
 
2.3%
T 18
 
2.1%
Other values (13) 141
16.3%
Decimal Number
ValueCountFrequency (%)
1 173
19.8%
0 170
19.5%
2 148
17.0%
8 83
9.5%
3 66
 
7.6%
6 65
 
7.5%
7 57
 
6.5%
4 44
 
5.0%
9 42
 
4.8%
5 24
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 10976
76.9%
/ 2366
 
16.6%
: 857
 
6.0%
, 44
 
0.3%
? 10
 
0.1%
& 6
 
< 0.1%
@ 5
 
< 0.1%
# 4
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%
Space Separator
ValueCountFrequency (%)
166
100.0%
Math Symbol
ValueCountFrequency (%)
= 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 72352
82.2%
Common 15528
 
17.6%
Hangul 116
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 12603
17.4%
o 8977
12.4%
c 5229
 
7.2%
r 4517
 
6.2%
m 4057
 
5.6%
e 3831
 
5.3%
a 3764
 
5.2%
k 3460
 
4.8%
n 3233
 
4.5%
t 3123
 
4.3%
Other values (39) 19558
27.0%
Hangul
ValueCountFrequency (%)
음 16
13.8%
없 16
13.8%
니 13
11.2%
오 10
 
8.6%
갈 10
 
8.6%
마 10
 
8.6%
젓 5
 
4.3%
적 5
 
4.3%
한 3
 
2.6%
과 3
 
2.6%
Other values (15) 25
21.6%
Common
ValueCountFrequency (%)
. 10976
70.7%
/ 2366
 
15.2%
: 857
 
5.5%
- 197
 
1.3%
1 173
 
1.1%
0 170
 
1.1%
166
 
1.1%
2 148
 
1.0%
8 83
 
0.5%
3 66
 
0.4%
Other values (13) 326
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87880
99.9%
Hangul 116
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 12603
14.3%
. 10976
12.5%
o 8977
 
10.2%
c 5229
 
6.0%
r 4517
 
5.1%
m 4057
 
4.6%
e 3831
 
4.4%
a 3764
 
4.3%
k 3460
 
3.9%
n 3233
 
3.7%
Other values (62) 27233
31.0%
Hangul
ValueCountFrequency (%)
음 16
13.8%
없 16
13.8%
니 13
11.2%
오 10
 
8.6%
갈 10
 
8.6%
마 10
 
8.6%
젓 5
 
4.3%
적 5
 
4.3%
한 3
 
2.6%
과 3
 
2.6%
Other values (15) 25
21.6%

Interactions

2023-12-13T08:09:12.825197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:12.233955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:12.536466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:12.898525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:12.325052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:12.639962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:12.979603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:12.438736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:09:12.735157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:09:17.266248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상담회아이디상담회주소년달일설립년도
상담회아이디1.0001.0001.0001.0000.9580.098
상담회주소1.0001.0001.0001.0000.9580.098
년1.0001.0001.0000.7070.3060.028
달1.0001.0000.7071.0000.9450.052
일0.9580.9580.3060.9451.0000.022
설립년도0.0980.0980.0280.0520.0221.000
2023-12-13T08:09:17.628576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년상담회아이디상담회주소
년1.0000.9990.999
상담회아이디0.9991.0001.000
상담회주소0.9991.0001.000
2023-12-13T08:09:17.707420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
달일설립년도상담회아이디상담회주소년
달1.0000.205-0.0711.0001.0000.624
일0.2051.000-0.0370.9380.9380.294
설립년도-0.071-0.0371.0000.0560.0560.032
상담회아이디1.0000.9380.0561.0001.0000.999
상담회주소1.0000.9380.0561.0001.0000.999
년0.6240.2940.0320.9990.9991.000

Missing values

2023-12-13T08:09:13.087687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:09:13.200504image/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.
2023-12-13T08:09:13.297959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

상담회아이디상담회주소년달일업체명업종설립년도주소홈페이지
02018 평창올림픽 연계 대규모 수출상담회(BKF)aT 센터 / 제2전시장 A홀2018222SAMJIN GLOBALNET무역업, 임대1970562, Samseong-ro, Gangnam-gu, Seoul, Republic of Koreahttp://www.wangfood.com/
12018 평창올림픽 연계 대규모 수출상담회(BKF)aT 센터 / 제2전시장 A홀2018222HURUM CO.,LTD식품,잡화,무역1995115, Gasan digital 2-ro, Geumcheon-gu, Seoulhurumcorp.com/
22018 평창올림픽 연계 대규모 수출상담회(BKF)aT 센터 / 제2전시장 A홀2018222kkokdam꽃차,기타2016<NA>www.iloveflowertea.com
32018 평창올림픽 연계 대규모 수출상담회(BKF)aT 센터 / 제2전시장 A홀2018222KURAKURA도소매(차류)2017402, 22, Nonhyeon-ro 36-gil, Gangnam-gu, Seoul, Republic of Koreakurakura.co.kr
42018 평창올림픽 연계 대규모 수출상담회(BKF)aT 센터 / 제2전시장 A홀2018222Taewoongfood Co.,Ltd.인삼, 홍삼제품, 음료류 제조도소매, 수출, 무역200021 Daegeum-ro 196 beon-gil, Daeso-myeon, Eumseong-gun, Chungcheongbuk-do, Koreahttp://www.twfood.co.kr
52018 평창올림픽 연계 대규모 수출상담회(BKF)aT 센터 / 제2전시장 A홀2018222Korean pears cooperative union농업2012218, Dusan-gil, Munsan-eup, Jinju-si, Gyeongsangnam-doN
62018 평창올림픽 연계 대규모 수출상담회(BKF)aT 센터 / 제2전시장 A홀2018222GREEN VIL CO., LTD.무역2009#701, 40 Technosangeop-Ro, Hyeonpoong-Myeon, Dalseong-Gun, Daegu, Korea, 43017https://www.greenvil.co/
72018 평창올림픽 연계 대규모 수출상담회(BKF)aT 센터 / 제2전시장 A홀2018222BADA MYEONGGA수산물가공업2014<NA>www.wandomall.co.kr
82018 평창올림픽 연계 대규모 수출상담회(BKF)aT 센터 / 제2전시장 A홀2018222BIFIDO유산균 외199923-16 Nonggongdanji-gil, Hongcheon-eup, Hongcheon-gun, Gangwon-do, 25117, Republic of Koreawww.bifido.com
92018 평창올림픽 연계 대규모 수출상담회(BKF)aT 센터 / 제2전시장 A홀2018222Seung In Food Co., Ltd참기름,들기름201558, Nakdongnam-ro 1013beon-gil, Gangseo-gu, Busanhttp://seunginfood2.modoo.at
상담회아이디상담회주소년달일업체명업종설립년도주소홈페이지
54252019 하반기 대규모 수출상담회(BKF)aT센터20191023Pyeong Chang Land Co., Ltd.농업,제조,도소매200220-25, Gupo-gil, Bangnim-myeon, Pyeongchang-gun, Gangwon-dowww.e-ogapi.com
54262019 하반기 대규모 수출상담회(BKF)aT센터20191023SPC GFS상품종합도매업,수출입업20142620, Nambusunhwan-ro, Seocho-gu, Seoulhttps://www.spcgfs.co.kr/?am=main&Lang=en&
54272019 하반기 대규모 수출상담회(BKF)aT센터20191023Nature Farm Corp.농산물유통판매2010<NA>www.nfdry.com
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54292019 하반기 대규모 수출상담회(BKF)aT센터20191023Namyang Dairy Products Co., Ltd낙농품, 음료1964240, Dosan-daero, Gangnam-gu, Seoulhttp://company.namyangi.com/
54302019 하반기 대규모 수출상담회(BKF)aT센터20191023GLO-LEE VIINCI CORP.수출업19999th floor happyplus bldg., #471-2, Kumoh-dong, Uijeongbu-si, Kyunggi-do, Koreakoreafood16.com
54312019 하반기 대규모 수출상담회(BKF)aT센터20191023Dnature Bio Labs Co., Ltd.식음료수출, 기능성음료 연구개발2016#B-801, Tera Tower 2, 201, Songpa-daero, Songpa-Gu, Seoul, S.Korea.http://dnaturebiolabs.com/
54322020 온라인 바이어초청 수출상담회(BKF)서울 aT센터 제2전시장 또는 회의실20201021Crown Confectionery Co.,Ltd<NA><NA><NA><NA>
54332020 온라인 바이어초청 수출상담회(BKF)서울 aT센터 제2전시장 또는 회의실20201021Honestfood Co., Ltd<NA><NA><NA><NA>
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3402018 평창올림픽 연계 대규모 수출상담회(BKF)aT 센터 / 제2전시장 A홀2018222[K26] PALDO CO., LTD면, 음료 제조1969577 GANGNAMDAERO, SEOCHO-GU, SEOUL, KOREAwww.paldofood.com11
542018 거대 신흥시장 바이어 초청 수출상담회(업체선정완료)서울 그랜드 하얏트 호텔 그랜드볼룸20181122Chungwoo Food Corp.,Inc.제조업2004<NA>www.chungwoofood.co.kr10
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832018 거대 신흥시장 바이어 초청 수출상담회(업체선정완료)서울 그랜드 하얏트 호텔 그랜드볼룸20181122HYE SUNG BEVERAGE CO.LTD제조2014#202 MC TOWN 150 Munwha-ro Jincheonup Jincheongun Koreawww.hyesunggroup.com10
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1082018 거대 신흥시장 바이어 초청 수출상담회(업체선정완료)서울 그랜드 하얏트 호텔 그랜드볼룸20181122Mammmos Confectionery Co.,Ltd생과자, 과자, 기타, 무역업19858, Dunchon-daero 526beon-gil, Jungwon-gu, Seongnam-si, Gyeonggi-do, Republic of Koreawww.mammos.co.kr10