gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	22
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.8 KiB
Average record size in memory	176.0 B

Variable types

Text	1
Numeric	18

Dataset

Description	전라남도 22개 시군별 주요 보유 농기계 8종의 보유량 스마트농정 농식품통계 생산활용 시스템 통계자료(22년 기준)농용트랙터, 스피드스프레이어, 동력경운기, 동력이앙기, 콤바인, 관리기, 곡물건조기, 농산물건조기, 파종기, 정식기, 수확기, 농업용 멀티콥터
Author	전라남도
URL	https://www.data.go.kr/data/15069193/fileData.do

Alerts

`농용트랙터 소형` is highly overall correlated with `농용트랙터중형` and 10 other fields	High correlation
`농용트랙터중형` is highly overall correlated with `농용트랙터 소형` and 11 other fields	High correlation
`농용트랙터 대형` is highly overall correlated with `농용트랙터 소형` and 9 other fields	High correlation
`스피드스프레이어` is highly overall correlated with `농용트랙터 소형` and 4 other fields	High correlation
`동력경운기` is highly overall correlated with `농용트랙터 소형` and 12 other fields	High correlation
`동력이앙기승용형` is highly overall correlated with `농용트랙터 소형` and 10 other fields	High correlation
`동력이앙기보행형` is highly overall correlated with `동력경운기` and 2 other fields	High correlation
`콤바인 3조 이하` is highly overall correlated with `농용트랙터 소형` and 3 other fields	High correlation
`콤바인4조` is highly overall correlated with `농용트랙터 소형` and 10 other fields	High correlation
`콤바인 5조 이상` is highly overall correlated with `농용트랙터 소형` and 10 other fields	High correlation
`관리기 승용형` is highly overall correlated with `농용트랙터 소형` and 6 other fields	High correlation
`관리기 보행형` is highly overall correlated with `동력경운기` and 2 other fields	High correlation
`곡물건조기` is highly overall correlated with `농용트랙터 소형` and 10 other fields	High correlation
`농산물건조기` is highly overall correlated with `농용트랙터중형` and 2 other fields	High correlation
`파종기` is highly overall correlated with `농용트랙터 소형` and 10 other fields	High correlation
`정식기` is highly overall correlated with `농용트랙터 대형` and 5 other fields	High correlation
`수확기` is highly overall correlated with `곡물건조기` and 2 other fields	High correlation
`농업용멀티콥터` is highly overall correlated with `농용트랙터중형` and 8 other fields	High correlation
`시군` has unique values	Unique
`농용트랙터 소형` has unique values	Unique
`농용트랙터중형` has unique values	Unique
`농용트랙터 대형` has unique values	Unique
`스피드스프레이어` has unique values	Unique
`동력경운기` has unique values	Unique
`동력이앙기승용형` has unique values	Unique
`동력이앙기보행형` has unique values	Unique
`콤바인4조` has unique values	Unique
`관리기 보행형` has unique values	Unique
`곡물건조기` has unique values	Unique
`농산물건조기` has unique values	Unique
`농용트랙터 대형` has 1 (4.5%) zeros	Zeros
`파종기` has 1 (4.5%) zeros	Zeros
`정식기` has 2 (9.1%) zeros	Zeros
`수확기` has 2 (9.1%) zeros	Zeros
`농업용멀티콥터` has 2 (9.1%) zeros	Zeros

Reproduction

Analysis started	2023-12-12 06:20:12.923611
Analysis finished	2023-12-12 06:20:52.233593
Duration	39.31 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

시군
Text

UNIQUE

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	308.0 B

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	66
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22 ?
Unique (%)	100.0%

Sample

1st row	목포시
2nd row	여수시
3rd row	순천시
4th row	나주시
5th row	광양시

Value	Count	Frequency (%)
목포시	1	4.5%
여수시	1	4.5%
진도군	1	4.5%
완도군	1	4.5%
장성군	1	4.5%
영광군	1	4.5%
함평군	1	4.5%
무안군	1	4.5%
영암군	1	4.5%
해남군	1	4.5%
Other values (12)	12	54.5%

Most occurring characters

Value	Count	Frequency (%)
군	17	25.8%
시	5	7.6%
성	3	4.5%
양	2	3.0%
도	2	3.0%
진	2	3.0%
순	2	3.0%
흥	2	3.0%
안	2	3.0%
광	2	3.0%
Other values (25)	27	40.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	66	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
군	17	25.8%
시	5	7.6%
성	3	4.5%
양	2	3.0%
도	2	3.0%
진	2	3.0%
순	2	3.0%
흥	2	3.0%
안	2	3.0%
광	2	3.0%
Other values (25)	27	40.9%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	66	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
군	17	25.8%
시	5	7.6%
성	3	4.5%
양	2	3.0%
도	2	3.0%
진	2	3.0%
순	2	3.0%
흥	2	3.0%
안	2	3.0%
광	2	3.0%
Other values (25)	27	40.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	66	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
군	17	25.8%
시	5	7.6%
성	3	4.5%
양	2	3.0%
도	2	3.0%
진	2	3.0%
순	2	3.0%
흥	2	3.0%
안	2	3.0%
광	2	3.0%
Other values (25)	27	40.9%

농용트랙터 소형
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	365.86364

Minimum	48
Maximum	1425
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	48
5-th percentile	148.2
Q1	213.25
median	332.5
Q3	392.25
95-th percentile	735.5
Maximum	1425
Range	1377
Interquartile range (IQR)	179

Descriptive statistics

Standard deviation	281.11924
Coefficient of variation (CV)	0.76837164
Kurtosis	9.7141755
Mean	365.86364
Median Absolute Deviation (MAD)	103
Skewness	2.7563187
Sum	8049
Variance	79028.028
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
48	1	4.5%
378	1	4.5%
296	1	4.5%
152	1	4.5%
212	1	4.5%
426	1	4.5%
303	1	4.5%
238	1	4.5%
374	1	4.5%
444	1	4.5%
Other values (12)	12	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
48	1	4.5%
148	1	4.5%
152	1	4.5%
157	1	4.5%
161	1	4.5%
212	1	4.5%
217	1	4.5%
238	1	4.5%
296	1	4.5%
303	1	4.5%

Value	Count	Frequency (%)
1425	1	4.5%
746	1	4.5%
536	1	4.5%
444	1	4.5%
426	1	4.5%
397	1	4.5%
378	1	4.5%
375	1	4.5%
374	1	4.5%
351	1	4.5%

농용트랙터중형
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	949.45455

Minimum	22
Maximum	2437
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	22
5-th percentile	288.9
Q1	573.75
median	908
Q3	1096.75
95-th percentile	2195.7
Maximum	2437
Range	2415
Interquartile range (IQR)	523

Descriptive statistics

Standard deviation	594.53894
Coefficient of variation (CV)	0.62618999
Kurtosis	1.1724966
Mean	949.45455
Median Absolute Deviation (MAD)	268.5
Skewness	1.0461644
Sum	20888
Variance	353476.55
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
22	1	4.5%
1040	1	4.5%
1001	1	4.5%
612	1	4.5%
422	1	4.5%
769	1	4.5%
843	1	4.5%
727	1	4.5%
997	1	4.5%
1574	1	4.5%
Other values (12)	12	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
22	1	4.5%
284	1	4.5%
382	1	4.5%
386	1	4.5%
422	1	4.5%
561	1	4.5%
612	1	4.5%
686	1	4.5%
727	1	4.5%
769	1	4.5%

Value	Count	Frequency (%)
2437	1	4.5%
2226	1	4.5%
1620	1	4.5%
1574	1	4.5%
1149	1	4.5%
1105	1	4.5%
1072	1	4.5%
1040	1	4.5%
1001	1	4.5%
997	1	4.5%

농용트랙터 대형
Real number (ℝ)

HIGH CORRELATION UNIQUE ZEROS

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	715.13636

Minimum	0
Maximum	2204
Zeros	1
Zeros (%)	4.5%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	0
5-th percentile	89.4
Q1	313.25
median	604
Q3	1051
95-th percentile	1352.55
Maximum	2204
Range	2204
Interquartile range (IQR)	737.75

Descriptive statistics

Standard deviation	551.10333
Coefficient of variation (CV)	0.77062692
Kurtosis	0.78781427
Mean	715.13636
Median Absolute Deviation (MAD)	383
Skewness	0.85543955
Sum	15733
Variance	303714.89
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
0	1	4.5%
973	1	4.5%
1077	1	4.5%
575	1	4.5%
118	1	4.5%
428	1	4.5%
955	1	4.5%
943	1	4.5%
1250	1	4.5%
1355	1	4.5%
Other values (12)	12	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	4.5%
89	1	4.5%
97	1	4.5%
118	1	4.5%
207	1	4.5%
300	1	4.5%
353	1	4.5%
360	1	4.5%
413	1	4.5%
428	1	4.5%

Value	Count	Frequency (%)
2204	1	4.5%
1355	1	4.5%
1306	1	4.5%
1250	1	4.5%
1218	1	4.5%
1077	1	4.5%
973	1	4.5%
955	1	4.5%
943	1	4.5%
879	1	4.5%

스피드스프레이어
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	238.5

Minimum	3
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	3
5-th percentile	10.45
Q1	54.75
median	105
Q3	168.75
95-th percentile	816.75
Maximum	2021
Range	2018
Interquartile range (IQR)	114

Descriptive statistics

Standard deviation	439.3651
Coefficient of variation (CV)	1.8422017
Kurtosis	13.94482
Mean	238.5
Median Absolute Deviation (MAD)	62.5
Skewness	3.5856049
Sum	5247
Variance	193041.69
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
3	1	4.5%
60	1	4.5%
119	1	4.5%
19	1	4.5%
36	1	4.5%
834	1	4.5%
100	1	4.5%
53	1	4.5%
122	1	4.5%
489	1	4.5%
Other values (12)	12	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	4.5%
10	1	4.5%
19	1	4.5%
32	1	4.5%
36	1	4.5%
53	1	4.5%
60	1	4.5%
83	1	4.5%
91	1	4.5%
100	1	4.5%

Value	Count	Frequency (%)
2021	1	4.5%
834	1	4.5%
489	1	4.5%
277	1	4.5%
229	1	4.5%
170	1	4.5%
165	1	4.5%
124	1	4.5%
122	1	4.5%
119	1	4.5%

동력경운기
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3824.6364

Minimum	209
Maximum	7639
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	209
5-th percentile	1985.05
Q1	2992.75
median	3591.5
Q3	4209.5
95-th percentile	7028.7
Maximum	7639
Range	7430
Interquartile range (IQR)	1216.75

Descriptive statistics

Standard deviation	1722.2693
Coefficient of variation (CV)	0.4503093
Kurtosis	0.97938197
Mean	3824.6364
Median Absolute Deviation (MAD)	636.5
Skewness	0.63122148
Sum	84142
Variance	2966211.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
209	1	4.5%
3788	1	4.5%
4091	1	4.5%
2603	1	4.5%
3256	1	4.5%
2471	1	4.5%
3743	1	4.5%
3043	1	4.5%
3648	1	4.5%
4540	1	4.5%
Other values (12)	12	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
209	1	4.5%
1966	1	4.5%
2347	1	4.5%
2471	1	4.5%
2603	1	4.5%
2976	1	4.5%
3043	1	4.5%
3251	1	4.5%
3256	1	4.5%
3395	1	4.5%

Value	Count	Frequency (%)
7639	1	4.5%
7030	1	4.5%
7004	1	4.5%
5315	1	4.5%
4540	1	4.5%
4249	1	4.5%
4091	1	4.5%
4043	1	4.5%
3788	1	4.5%
3743	1	4.5%

동력이앙기승용형
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	679.40909

Minimum	11
Maximum	1935
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	11
5-th percentile	149.5
Q1	458
median	640.5
Q3	872.25
95-th percentile	1212.6
Maximum	1935
Range	1924
Interquartile range (IQR)	414.25

Descriptive statistics

Standard deviation	422.93618
Coefficient of variation (CV)	0.62250592
Kurtosis	2.5334001
Mean	679.40909
Median Absolute Deviation (MAD)	206
Skewness	1.0984588
Sum	14947
Variance	178875.02
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
11	1	4.5%
956	1	4.5%
794	1	4.5%
500	1	4.5%
214	1	4.5%
526	1	4.5%
825	1	4.5%
674	1	4.5%
577	1	4.5%
1216	1	4.5%
Other values (12)	12	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11	1	4.5%
148	1	4.5%
178	1	4.5%
214	1	4.5%
425	1	4.5%
444	1	4.5%
500	1	4.5%
520	1	4.5%
526	1	4.5%
577	1	4.5%

Value	Count	Frequency (%)
1935	1	4.5%
1216	1	4.5%
1148	1	4.5%
1005	1	4.5%
956	1	4.5%
888	1	4.5%
825	1	4.5%
794	1	4.5%
682	1	4.5%
674	1	4.5%

동력이앙기보행형
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	386.31818

Minimum	33
Maximum	904
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	33
5-th percentile	85.95
Q1	269
median	380.5
Q3	494.25
95-th percentile	749.6
Maximum	904
Range	871
Interquartile range (IQR)	225.25

Descriptive statistics

Standard deviation	213.36809
Coefficient of variation (CV)	0.5523118
Kurtosis	0.51281543
Mean	386.31818
Median Absolute Deviation (MAD)	115.5
Skewness	0.6037452
Sum	8499
Variance	45525.942
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
33	1	4.5%
368	1	4.5%
421	1	4.5%
266	1	4.5%
486	1	4.5%
278	1	4.5%
207	1	4.5%
123	1	4.5%
503	1	4.5%
348	1	4.5%
Other values (12)	12	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33	1	4.5%
84	1	4.5%
123	1	4.5%
183	1	4.5%
207	1	4.5%
266	1	4.5%
278	1	4.5%
284	1	4.5%
297	1	4.5%
348	1	4.5%

Value	Count	Frequency (%)
904	1	4.5%
753	1	4.5%
685	1	4.5%
508	1	4.5%
503	1	4.5%
497	1	4.5%
486	1	4.5%
466	1	4.5%
421	1	4.5%
412	1	4.5%

콤바인 3조 이하
Real number (ℝ)

HIGH CORRELATION

Distinct	21
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.954545

Minimum	11
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	11
5-th percentile	18
Q1	28.25
median	44.5
Q3	71
95-th percentile	86.55
Maximum	100
Range	89
Interquartile range (IQR)	42.75

Descriptive statistics

Standard deviation	25.344253
Coefficient of variation (CV)	0.52850575
Kurtosis	-0.90050781
Mean	47.954545
Median Absolute Deviation (MAD)	20
Skewness	0.42813153
Sum	1055
Variance	642.33117
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
18	2	9.1%
11	1	4.5%
29	1	4.5%
41	1	4.5%
87	1	4.5%
65	1	4.5%
30	1	4.5%
22	1	4.5%
32	1	4.5%
45	1	4.5%
Other values (11)	11	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11	1	4.5%
18	2	9.1%
22	1	4.5%
25	1	4.5%
28	1	4.5%
29	1	4.5%
30	1	4.5%
32	1	4.5%
41	1	4.5%
44	1	4.5%

Value	Count	Frequency (%)
100	1	4.5%
87	1	4.5%
78	1	4.5%
76	1	4.5%
75	1	4.5%
73	1	4.5%
65	1	4.5%
60	1	4.5%
50	1	4.5%
48	1	4.5%

콤바인4조
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	245.68182

Minimum	4
Maximum	781
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	4
5-th percentile	94.5
Q1	169.5
median	220
Q3	300.75
95-th percentile	395.55
Maximum	781
Range	777
Interquartile range (IQR)	131.25

Descriptive statistics

Standard deviation	155.09425
Coefficient of variation (CV)	0.63128096
Kurtosis	6.1916202
Mean	245.68182
Median Absolute Deviation (MAD)	76.5
Skewness	1.905608
Sum	5405
Variance	24054.227
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
4	1	4.5%
322	1	4.5%
288	1	4.5%
94	1	4.5%
162	1	4.5%
236	1	4.5%
305	1	4.5%
203	1	4.5%
214	1	4.5%
358	1	4.5%
Other values (12)	12	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	4.5%
94	1	4.5%
104	1	4.5%
106	1	4.5%
121	1	4.5%
162	1	4.5%
192	1	4.5%
203	1	4.5%
211	1	4.5%
214	1	4.5%

Value	Count	Frequency (%)
781	1	4.5%
396	1	4.5%
387	1	4.5%
358	1	4.5%
322	1	4.5%
305	1	4.5%
288	1	4.5%
253	1	4.5%
236	1	4.5%
228	1	4.5%

콤바인 5조 이상
Real number (ℝ)

HIGH CORRELATION

Distinct	21
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	242.27273

Minimum	6
Maximum	640
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	6
5-th percentile	39.5
Q1	128
median	243.5
Q3	315
95-th percentile	480.2
Maximum	640
Range	634
Interquartile range (IQR)	187

Descriptive statistics

Standard deviation	156.92133
Coefficient of variation (CV)	0.64770529
Kurtosis	0.4654096
Mean	242.27273
Median Absolute Deviation (MAD)	97.5
Skewness	0.65409192
Sum	5330
Variance	24624.303
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
315	2	9.1%
6	1	4.5%
68	1	4.5%
166	1	4.5%
70	1	4.5%
288	1	4.5%
290	1	4.5%
283	1	4.5%
232	1	4.5%
484	1	4.5%
Other values (11)	11	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	4.5%
38	1	4.5%
68	1	4.5%
70	1	4.5%
83	1	4.5%
122	1	4.5%
146	1	4.5%
165	1	4.5%
166	1	4.5%
209	1	4.5%

Value	Count	Frequency (%)
640	1	4.5%
484	1	4.5%
408	1	4.5%
406	1	4.5%
341	1	4.5%
315	2	9.1%
290	1	4.5%
288	1	4.5%
283	1	4.5%
255	1	4.5%

관리기 승용형
Real number (ℝ)

HIGH CORRELATION

Distinct	21
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	294.68182

Minimum	2
Maximum	1135
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	2
5-th percentile	43.15
Q1	139
median	213
Q3	338
95-th percentile	721.75
Maximum	1135
Range	1133
Interquartile range (IQR)	199

Descriptive statistics

Standard deviation	262.34209
Coefficient of variation (CV)	0.89025542
Kurtosis	4.1284135
Mean	294.68182
Median Absolute Deviation (MAD)	107
Skewness	1.8592898
Sum	6483
Variance	68823.37
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
166	2	9.1%
2	1	4.5%
118	1	4.5%
205	1	4.5%
287	1	4.5%
192	1	4.5%
65	1	4.5%
176	1	4.5%
641	1	4.5%
332	1	4.5%
Other values (11)	11	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	4.5%
42	1	4.5%
65	1	4.5%
71	1	4.5%
118	1	4.5%
130	1	4.5%
166	2	9.1%
176	1	4.5%
192	1	4.5%
205	1	4.5%

Value	Count	Frequency (%)
1135	1	4.5%
726	1	4.5%
641	1	4.5%
487	1	4.5%
398	1	4.5%
340	1	4.5%
332	1	4.5%
300	1	4.5%
287	1	4.5%
283	1	4.5%

관리기 보행형
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1914.4545

Minimum	224
Maximum	4628
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	224
5-th percentile	438.7
Q1	984.25
median	1585.5
Q3	2396
95-th percentile	4488.85
Maximum	4628
Range	4404
Interquartile range (IQR)	1411.75

Descriptive statistics

Standard deviation	1270.4033
Coefficient of variation (CV)	0.66358499
Kurtosis	0.078357912
Mean	1914.4545
Median Absolute Deviation (MAD)	639
Skewness	0.9376198
Sum	42118
Variance	1613924.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
224	1	4.5%
1415	1	4.5%
2482	1	4.5%
2127	1	4.5%
1678	1	4.5%
919	1	4.5%
1401	1	4.5%
423	1	4.5%
798	1	4.5%
737	1	4.5%
Other values (12)	12	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
224	1	4.5%
423	1	4.5%
737	1	4.5%
798	1	4.5%
919	1	4.5%
974	1	4.5%
1015	1	4.5%
1031	1	4.5%
1401	1	4.5%
1415	1	4.5%

Value	Count	Frequency (%)
4628	1	4.5%
4513	1	4.5%
4030	1	4.5%
3501	1	4.5%
2551	1	4.5%
2482	1	4.5%
2138	1	4.5%
2127	1	4.5%
2100	1	4.5%
1940	1	4.5%

곡물건조기
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	937.86364

Minimum	10
Maximum	3207
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	10
5-th percentile	184.1
Q1	430.5
median	648
Q3	1309.25
95-th percentile	1785.75
Maximum	3207
Range	3197
Interquartile range (IQR)	878.75

Descriptive statistics

Standard deviation	744.67508
Coefficient of variation (CV)	0.79401211
Kurtosis	2.6626118
Mean	937.86364
Median Absolute Deviation (MAD)	417.5
Skewness	1.3890812
Sum	20633
Variance	554540.98
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
10	1	4.5%
1787	1	4.5%
1288	1	4.5%
668	1	4.5%
284	1	4.5%
537	1	4.5%
1316	1	4.5%
1059	1	4.5%
529	1	4.5%
1762	1	4.5%
Other values (12)	12	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	1	4.5%
182	1	4.5%
224	1	4.5%
284	1	4.5%
302	1	4.5%
399	1	4.5%
525	1	4.5%
529	1	4.5%
537	1	4.5%
558	1	4.5%

Value	Count	Frequency (%)
3207	1	4.5%
1787	1	4.5%
1762	1	4.5%
1684	1	4.5%
1448	1	4.5%
1316	1	4.5%
1289	1	4.5%
1288	1	4.5%
1059	1	4.5%
947	1	4.5%

농산물건조기
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	22
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1936.2273

Minimum	12
Maximum	5001
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	12
5-th percentile	820.8
Q1	1466.5
median	1792
Q3	2189.75
95-th percentile	3981.6
Maximum	5001
Range	4989
Interquartile range (IQR)	723.25

Descriptive statistics

Standard deviation	1023.1772
Coefficient of variation (CV)	0.52843859
Kurtosis	3.7369032
Mean	1936.2273
Median Absolute Deviation (MAD)	392.5
Skewness	1.420317
Sum	42597
Variance	1046891.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
12	1	4.5%
1463	1	4.5%
1848	1	4.5%
2003	1	4.5%
1294	1	4.5%
1598	1	4.5%
1277	1	4.5%
1617	1	4.5%
1235	1	4.5%
2606	1	4.5%
Other values (12)	12	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12	1	4.5%
799	1	4.5%
1235	1	4.5%
1277	1	4.5%
1294	1	4.5%
1463	1	4.5%
1477	1	4.5%
1598	1	4.5%
1617	1	4.5%
1682	1	4.5%

Value	Count	Frequency (%)
5001	1	4.5%
4054	1	4.5%
2606	1	4.5%
2478	1	4.5%
2328	1	4.5%
2248	1	4.5%
2015	1	4.5%
2003	1	4.5%
1958	1	4.5%
1868	1	4.5%

파종기
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	20
Distinct (%)	90.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	101.09091

Minimum	0
Maximum	670
Zeros	1
Zeros (%)	4.5%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	0
5-th percentile	3.65
Q1	19.25
median	72
Q3	133.25
95-th percentile	212.25
Maximum	670
Range	670
Interquartile range (IQR)	114

Descriptive statistics

Standard deviation	140.50281
Coefficient of variation (CV)	1.3898659
Kurtosis	13.674187
Mean	101.09091
Median Absolute Deviation (MAD)	53
Skewness	3.4051427
Sum	2224
Variance	19741.039
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
44	2	9.1%
19	2	9.1%
0	1	4.5%
160	1	4.5%
142	1	4.5%
17	1	4.5%
94	1	4.5%
106	1	4.5%
107	1	4.5%
215	1	4.5%
Other values (10)	10	45.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	4.5%
3	1	4.5%
16	1	4.5%
17	1	4.5%
19	2	9.1%
20	1	4.5%
23	1	4.5%
44	2	9.1%
62	1	4.5%
82	1	4.5%

Value	Count	Frequency (%)
670	1	4.5%
215	1	4.5%
160	1	4.5%
146	1	4.5%
144	1	4.5%
142	1	4.5%
107	1	4.5%
106	1	4.5%
94	1	4.5%
91	1	4.5%

정식기
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	16
Distinct (%)	72.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.772727

Minimum	0
Maximum	107
Zeros	2
Zeros (%)	9.1%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	0
5-th percentile	0.1
Q1	5
median	12
Q3	26.25
95-th percentile	51.45
Maximum	107
Range	107
Interquartile range (IQR)	21.25

Descriptive statistics

Standard deviation	23.78261
Coefficient of variation (CV)	1.2027987
Kurtosis	8.3918157
Mean	19.772727
Median Absolute Deviation (MAD)	9.5
Skewness	2.5996114
Sum	435
Variance	565.61255
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	2	9.1%
2	2	9.1%
12	2	9.1%
5	2	9.1%
27	2	9.1%
10	2	9.1%
11	1	4.5%
17	1	4.5%
19	1	4.5%
52	1	4.5%
Other values (6)	6	27.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	9.1%
2	2	9.1%
3	1	4.5%
5	2	9.1%
10	2	9.1%
11	1	4.5%
12	2	9.1%
17	1	4.5%
18	1	4.5%
19	1	4.5%

Value	Count	Frequency (%)
107	1	4.5%
52	1	4.5%
41	1	4.5%
31	1	4.5%
27	2	9.1%
24	1	4.5%
19	1	4.5%
18	1	4.5%
17	1	4.5%
12	2	9.1%

수확기
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	16
Distinct (%)	72.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.818182

Minimum	0
Maximum	133
Zeros	2
Zeros (%)	9.1%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	0
5-th percentile	0.05
Q1	8.75
median	17.5
Q3	24
95-th percentile	69
Maximum	133
Range	133
Interquartile range (IQR)	15.25

Descriptive statistics

Standard deviation	29.023203
Coefficient of variation (CV)	1.2719332
Kurtosis	10.278413
Mean	22.818182
Median Absolute Deviation (MAD)	8
Skewness	2.9804613
Sum	502
Variance	842.34632
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
11	3	13.6%
0	2	9.1%
1	2	9.1%
24	2	9.1%
22	2	9.1%
6	1	4.5%
27	1	4.5%
133	1	4.5%
71	1	4.5%
29	1	4.5%
Other values (6)	6	27.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	9.1%
1	2	9.1%
6	1	4.5%
8	1	4.5%
11	3	13.6%
12	1	4.5%
15	1	4.5%
20	1	4.5%
22	2	9.1%
23	1	4.5%

Value	Count	Frequency (%)
133	1	4.5%
71	1	4.5%
31	1	4.5%
29	1	4.5%
27	1	4.5%
24	2	9.1%
23	1	4.5%
22	2	9.1%
20	1	4.5%
15	1	4.5%

농업용멀티콥터
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	18
Distinct (%)	81.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.090909

Minimum	0
Maximum	131
Zeros	2
Zeros (%)	9.1%
Negative	0
Negative (%)	0.0%
Memory size	330.0 B

Quantile statistics

Minimum	0
5-th percentile	0.2
Q1	9
median	22
Q3	33
95-th percentile	82.3
Maximum	131
Range	131
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	31.324582
Coefficient of variation (CV)	1.0767825
Kurtosis	4.5571529
Mean	29.090909
Median Absolute Deviation (MAD)	12.5
Skewness	2.0046846
Sum	640
Variance	981.22944
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	2	9.1%
22	2	9.1%
33	2	9.1%
12	2	9.1%
4	1	4.5%
5	1	4.5%
13	1	4.5%
15	1	4.5%
25	1	4.5%
7	1	4.5%
Other values (8)	8	36.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	9.1%
4	1	4.5%
5	1	4.5%
7	1	4.5%
8	1	4.5%
12	2	9.1%
13	1	4.5%
15	1	4.5%
22	2	9.1%
24	1	4.5%

Value	Count	Frequency (%)
131	1	4.5%
83	1	4.5%
69	1	4.5%
53	1	4.5%
39	1	4.5%
33	2	9.1%
30	1	4.5%
25	1	4.5%
24	1	4.5%
22	2	9.1%

Phik (φk)
Auto

Heatmap
Table

	시군	농용트랙터 소형	농용트랙터중형	농용트랙터 대형	스피드스프레이어	동력경운기	동력이앙기승용형	동력이앙기보행형	콤바인 3조 이하	콤바인4조	콤바인 5조 이상	관리기 승용형	관리기 보행형	곡물건조기	농산물건조기	파종기	정식기	수확기	농업용멀티콥터
시군	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
농용트랙터 소형	1.000	1.000	0.654	0.843	0.633	0.684	0.775	0.463	0.304	0.830	0.805	0.748	0.847	0.739	0.811	0.664	0.751	0.599	0.726
농용트랙터중형	1.000	0.654	1.000	0.721	0.610	0.840	0.683	0.425	0.000	0.933	0.674	0.636	0.534	0.739	0.721	0.462	0.507	0.120	0.654
농용트랙터 대형	1.000	0.843	0.721	1.000	0.697	0.000	0.935	0.398	0.000	0.740	0.871	0.867	0.748	0.914	0.912	0.875	0.733	0.739	0.778
스피드스프레이어	1.000	0.633	0.610	0.697	1.000	0.500	0.664	0.000	0.433	0.547	0.677	0.830	0.000	0.000	0.652	0.787	0.000	0.000	0.739
동력경운기	1.000	0.684	0.840	0.000	0.500	1.000	0.521	0.750	0.742	0.000	0.359	0.625	0.628	0.000	0.404	0.157	0.282	0.000	0.382
동력이앙기승용형	1.000	0.775	0.683	0.935	0.664	0.521	1.000	0.231	0.683	0.824	0.897	0.806	0.738	0.737	0.899	0.816	0.672	0.575	0.788
동력이앙기보행형	1.000	0.463	0.425	0.398	0.000	0.750	0.231	1.000	0.671	0.608	0.724	0.000	0.790	0.473	0.506	0.676	0.507	0.632	0.292
콤바인 3조 이하	1.000	0.304	0.000	0.000	0.433	0.742	0.683	0.671	1.000	0.000	0.393	0.000	0.517	0.000	0.445	0.000	0.608	0.000	0.536
콤바인4조	1.000	0.830	0.933	0.740	0.547	0.000	0.824	0.608	0.000	1.000	0.746	0.671	0.601	0.917	0.763	0.701	0.674	0.665	0.896
콤바인 5조 이상	1.000	0.805	0.674	0.871	0.677	0.359	0.897	0.724	0.393	0.746	1.000	0.568	0.373	0.755	0.757	0.855	0.630	0.553	0.748
관리기 승용형	1.000	0.748	0.636	0.867	0.830	0.625	0.806	0.000	0.000	0.671	0.568	1.000	0.451	0.200	0.869	0.623	0.000	0.130	0.702
관리기 보행형	1.000	0.847	0.534	0.748	0.000	0.628	0.738	0.790	0.517	0.601	0.373	0.451	1.000	0.703	0.754	0.521	0.685	0.718	0.649
곡물건조기	1.000	0.739	0.739	0.914	0.000	0.000	0.737	0.473	0.000	0.917	0.755	0.200	0.703	1.000	0.503	0.647	0.722	0.765	0.867
농산물건조기	1.000	0.811	0.721	0.912	0.652	0.404	0.899	0.506	0.445	0.763	0.757	0.869	0.754	0.503	1.000	0.820	0.453	0.530	0.754
파종기	1.000	0.664	0.462	0.875	0.787	0.157	0.816	0.676	0.000	0.701	0.855	0.623	0.521	0.647	0.820	1.000	0.570	0.874	0.816
정식기	1.000	0.751	0.507	0.733	0.000	0.282	0.672	0.507	0.608	0.674	0.630	0.000	0.685	0.722	0.453	0.570	1.000	0.631	0.844
수확기	1.000	0.599	0.120	0.739	0.000	0.000	0.575	0.632	0.000	0.665	0.553	0.130	0.718	0.765	0.530	0.874	0.631	1.000	0.550
농업용멀티콥터	1.000	0.726	0.654	0.778	0.739	0.382	0.788	0.292	0.536	0.896	0.748	0.702	0.649	0.867	0.754	0.816	0.844	0.550	1.000

Heatmap
Table

	농용트랙터 소형	농용트랙터중형	농용트랙터 대형	스피드스프레이어	동력경운기	동력이앙기승용형	동력이앙기보행형	콤바인 3조 이하	콤바인4조	콤바인 5조 이상	관리기 승용형	관리기 보행형	곡물건조기	농산물건조기	파종기	정식기	수확기	농업용멀티콥터
농용트랙터 소형	1.000	0.858	0.673	0.680	0.680	0.809	0.389	0.556	0.861	0.759	0.585	0.130	0.625	0.404	0.603	0.207	0.337	0.468
농용트랙터중형	0.858	1.000	0.829	0.517	0.790	0.909	0.381	0.399	0.887	0.895	0.676	0.179	0.804	0.510	0.684	0.421	0.393	0.620
농용트랙터 대형	0.673	0.829	1.000	0.423	0.598	0.885	0.129	0.021	0.817	0.922	0.419	-0.081	0.887	0.398	0.756	0.695	0.440	0.874
스피드스프레이어	0.680	0.517	0.423	1.000	0.447	0.456	0.250	0.446	0.582	0.490	0.636	0.101	0.280	0.521	0.202	-0.107	0.208	0.311
동력경운기	0.680	0.790	0.598	0.447	1.000	0.663	0.728	0.613	0.745	0.668	0.653	0.560	0.548	0.522	0.716	0.257	0.399	0.463
동력이앙기승용형	0.809	0.909	0.885	0.456	0.663	1.000	0.120	0.201	0.921	0.934	0.502	0.033	0.921	0.451	0.716	0.553	0.441	0.738
동력이앙기보행형	0.389	0.381	0.129	0.250	0.728	0.120	1.000	0.736	0.295	0.146	0.427	0.711	0.021	0.337	0.395	0.011	0.141	0.087
콤바인 3조 이하	0.556	0.399	0.021	0.446	0.613	0.201	0.736	1.000	0.368	0.171	0.492	0.576	-0.034	0.282	0.131	-0.214	-0.123	-0.172
콤바인4조	0.861	0.887	0.817	0.582	0.745	0.921	0.295	0.368	1.000	0.918	0.544	0.152	0.851	0.474	0.726	0.495	0.408	0.665
콤바인 5조 이상	0.759	0.895	0.922	0.490	0.668	0.934	0.146	0.171	0.918	1.000	0.537	0.018	0.926	0.495	0.772	0.620	0.477	0.792
관리기 승용형	0.585	0.676	0.419	0.636	0.653	0.502	0.427	0.492	0.544	0.537	1.000	0.241	0.392	0.463	0.285	-0.014	0.415	0.282
관리기 보행형	0.130	0.179	-0.081	0.101	0.560	0.033	0.711	0.576	0.152	0.018	0.241	1.000	-0.010	0.493	0.185	0.012	0.184	-0.040
곡물건조기	0.625	0.804	0.887	0.280	0.548	0.921	0.021	-0.034	0.851	0.926	0.392	-0.010	1.000	0.467	0.742	0.718	0.570	0.820
농산물건조기	0.404	0.510	0.398	0.521	0.522	0.451	0.337	0.282	0.474	0.495	0.463	0.493	0.467	1.000	0.337	0.186	0.436	0.396
파종기	0.603	0.684	0.756	0.202	0.716	0.716	0.395	0.131	0.726	0.772	0.285	0.185	0.742	0.337	1.000	0.626	0.587	0.727
정식기	0.207	0.421	0.695	-0.107	0.257	0.553	0.011	-0.214	0.495	0.620	-0.014	0.012	0.718	0.186	0.626	1.000	0.343	0.782
수확기	0.337	0.393	0.440	0.208	0.399	0.441	0.141	-0.123	0.408	0.477	0.415	0.184	0.570	0.436	0.587	0.343	1.000	0.512
농업용멀티콥터	0.468	0.620	0.874	0.311	0.463	0.738	0.087	-0.172	0.665	0.792	0.282	-0.040	0.820	0.396	0.727	0.782	0.512	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	시군	농용트랙터 소형	농용트랙터중형	농용트랙터 대형	스피드스프레이어	동력경운기	동력이앙기승용형	동력이앙기보행형	콤바인 3조 이하	콤바인4조	콤바인 5조 이상	관리기 승용형	관리기 보행형	곡물건조기	농산물건조기	파종기	정식기	수확기	농업용멀티콥터
0	목포시	48	22	0	3	209	11	33	11	4	6	2	224	10	12	0	0	0	0
1	여수시	217	386	89	10	4043	148	753	60	121	68	118	4628	224	1477	144	5	22	7
2	순천시	351	973	360	277	5315	520	685	100	217	209	340	4513	399	2478	23	3	20	8
3	나주시	1425	2226	1306	2021	7030	1148	466	75	396	408	1135	1940	1684	2015	91	10	15	53
4	광양시	148	284	97	101	3251	178	412	50	104	38	130	2551	182	1868	3	0	0	4
5	담양군	397	1072	353	91	3535	682	393	78	211	165	300	1493	525	799	19	2	1	5
6	곡성군	375	686	413	165	2976	641	284	44	223	122	42	2100	558	2248	20	11	12	13
7	구례군	161	382	207	170	2347	425	183	18	106	83	487	1015	302	1682	16	2	31	15
8	고흥군	536	1620	879	229	7004	1005	497	76	387	406	398	3501	1289	4054	146	17	23	25
9	보성군	339	1149	633	124	4249	640	508	48	228	255	726	2138	947	2328	82	5	29	12

	시군	농용트랙터 소형	농용트랙터중형	농용트랙터 대형	스피드스프레이어	동력경운기	동력이앙기승용형	동력이앙기보행형	콤바인 3조 이하	콤바인4조	콤바인 5조 이상	관리기 승용형	관리기 보행형	곡물건조기	농산물건조기	파종기	정식기	수확기	농업용멀티콥터
12	강진군	378	1040	973	60	3788	956	368	29	322	315	283	1415	1787	1463	160	27	71	30
13	해남군	746	2437	2204	109	7639	1935	904	73	781	640	332	4030	3207	5001	670	52	133	131
14	영암군	444	1574	1355	489	4540	1216	348	45	358	484	641	737	1762	2606	215	18	24	83
15	무안군	374	997	1250	122	3648	577	503	32	214	232	176	798	529	1235	107	24	11	39
16	함평군	238	727	943	53	3043	674	123	22	203	283	65	423	1059	1617	106	12	22	22
17	영광군	303	843	955	100	3743	825	207	30	305	290	166	1401	1316	1277	94	31	24	33
18	장성군	426	769	428	834	2471	526	278	65	236	288	192	919	537	1598	44	10	11	12
19	완도군	212	422	118	36	3256	214	486	87	162	70	287	1678	284	1294	17	12	1	0
20	진도군	152	612	575	19	2603	500	266	18	94	166	166	2127	668	2003	44	41	27	33
21	신안군	296	1001	1077	119	4091	794	421	41	288	315	205	2482	1288	1848	142	107	6	69

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Most occurring scripts

Most frequent character per script

Hangul

Most occurring blocks

Most frequent character per block

Hangul

Interactions

Correlations

Missing values

Sample