gimi9 Pandas Profiling

Dataset statistics

Number of variables	14
Number of observations	10000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.2 MiB
Average record size in memory	127.0 B

Variable types

Numeric	7
Categorical	3
Text	4

Dataset

Description	법인체별 경종농가에 대한 작물별 액비살포현황
Author	농림축산식품부
URL	https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220215000000001899

Alerts

`ORGNZT_SE_NM` is highly overall correlated with `ORGNZT_SE_CD`	High correlation
`ORGNZT_SE_CD` is highly overall correlated with `ORGNZT_SE_NM`	High correlation
`ADMINIST_ATPT_CD` is highly overall correlated with `ADMINIST_SIGNGU_CD` and 2 other fields	High correlation
`ADMINIST_SIGNGU_CD` is highly overall correlated with `ADMINIST_ATPT_CD` and 2 other fields	High correlation
`ADMINIST_EMD_CD` is highly overall correlated with `ADMINIST_ATPT_CD` and 2 other fields	High correlation
`SPRAY_QY` is highly overall correlated with `AR`	High correlation
`AR` is highly overall correlated with `SPRAY_QY`	High correlation
`ADMINIST_ATPT_NM` is highly overall correlated with `ADMINIST_ATPT_CD` and 2 other fields	High correlation
`SPRAY_YM` is highly skewed (γ1 = -33.95882913)	Skewed
`SPRAY_QY` is highly skewed (γ1 = 56.32753982)	Skewed
`AR` is highly skewed (γ1 = 25.87356667)	Skewed
`SPRAY_QY` has 343 (3.4%) zeros	Zeros

Reproduction

Analysis started	2023-12-11 03:29:08.520744
Analysis finished	2023-12-11 03:29:17.239849
Duration	8.72 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

EXAMIN_YEAR
Real number (ℝ)

Distinct	23
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2007.4405

Minimum	1992
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1992
5-th percentile	1996
Q1	2006
median	2009
Q3	2010
95-th percentile	2012
Maximum	2015
Range	23
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.5386914
Coefficient of variation (CV)	0.0022609345
Kurtosis	3.0191894
Mean	2007.4405
Median Absolute Deviation (MAD)	2
Skewness	-1.7193634
Sum	20074405
Variance	20.59972
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
2009	1748	17.5%
2010	1619	16.2%
2008	1185	11.8%
2007	977	9.8%
2012	771	7.7%
2011	700	7.0%
2006	672	6.7%
2003	504	5.0%
1993	335	3.4%
2004	295	2.9%
Other values (13)	1194	11.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1992	84	0.8%
1993	335	3.4%
1994	24	0.2%
1995	25	0.2%
1996	117	1.2%
1998	61	0.6%
1999	154	1.5%
2000	20	0.2%
2001	36	0.4%
2002	87	0.9%

Value	Count	Frequency (%)
2015	4	< 0.1%
2014	194	1.9%
2013	199	2.0%
2012	771	7.7%
2011	700	7.0%
2010	1619	16.2%
2009	1748	17.5%
2008	1185	11.8%
2007	977	9.8%
2006	672	6.7%

ORGNZT_SE_NM
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

액비유통센터	4760
공동자원화&액비유통센터	3118
기타민간조직	1302
공동자원화	820

Length

Max length	12
Median length	6
Mean length	7.7888
Min length	5

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	액비유통센터
2nd row	액비유통센터
3rd row	액비유통센터
4th row	액비유통센터
5th row	공동자원화&액비유통센터

Common Values

Value	Count	Frequency (%)
액비유통센터	4760	47.6%
공동자원화&액비유통센터	3118	31.2%
기타민간조직	1302	13.0%
공동자원화	820	8.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
액비유통센터	4760	47.6%
공동자원화&액비유통센터	3118	31.2%
기타민간조직	1302	13.0%
공동자원화	820	8.2%

ORGNZT_SE_CD
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

B66020	4760
B66030	3118
B66040	1302
B66010	820

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B66020
2nd row	B66020
3rd row	B66020
4th row	B66020
5th row	B66030

Common Values

Value	Count	Frequency (%)
B66020	4760	47.6%
B66030	3118	31.2%
B66040	1302	13.0%
B66010	820	8.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
b66020	4760	47.6%
b66030	3118	31.2%
b66040	1302	13.0%
b66010	820	8.2%

ADMINIST_ATPT_CD
Real number (ℝ)

HIGH CORRELATION

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6452010

Minimum	5690000
Maximum	6500000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	5690000
5-th percentile	6410000
Q1	6440000
median	6460000
Q3	6470000
95-th percentile	6500000
Maximum	6500000
Range	810000
Interquartile range (IQR)	30000

Descriptive statistics

Standard deviation	53029.248
Coefficient of variation (CV)	0.0082190275
Kurtosis	138.55366
Mean	6452010
Median Absolute Deviation (MAD)	20000
Skewness	-9.9894048
Sum	6.45201 × 10¹⁰
Variance	2.8121011 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
6450000	1646	16.5%
6470000	1568	15.7%
6460000	1558	15.6%
6480000	1133	11.3%
6500000	1062	10.6%
6440000	991	9.9%
6410000	945	9.4%
6420000	522	5.2%
6430000	420	4.2%
6310000	122	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5690000	33	0.3%
6310000	122	1.2%
6410000	945	9.4%
6420000	522	5.2%
6430000	420	4.2%
6440000	991	9.9%
6450000	1646	16.5%
6460000	1558	15.6%
6470000	1568	15.7%
6480000	1133	11.3%

Value	Count	Frequency (%)
6500000	1062	10.6%
6480000	1133	11.3%
6470000	1568	15.7%
6460000	1558	15.6%
6450000	1646	16.5%
6440000	991	9.9%
6430000	420	4.2%
6420000	522	5.2%
6410000	945	9.4%
6310000	122	1.2%

ADMINIST_ATPT_NM
Categorical

HIGH CORRELATION

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

전라북도	1646
경상북도	1568
전라남도	1558
경상남도	1133
제주특별자치도	1062
Other values (6)	3033

Length

Max length	7
Median length	4
Mean length	4.194
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	경상남도
2nd row	세종특별자치시
3rd row	제주특별자치도
4th row	전라남도
5th row	경기도

Common Values

Value	Count	Frequency (%)
전라북도	1646	16.5%
경상북도	1568	15.7%
전라남도	1558	15.6%
경상남도	1133	11.3%
제주특별자치도	1062	10.6%
충청남도	991	9.9%
경기도	945	9.4%
강원도	522	5.2%
충청북도	420	4.2%
울산광역시	122	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
전라북도	1646	16.5%
경상북도	1568	15.7%
전라남도	1558	15.6%
경상남도	1133	11.3%
제주특별자치도	1062	10.6%
충청남도	991	9.9%
경기도	945	9.4%
강원도	522	5.2%
충청북도	420	4.2%
울산광역시	122	1.2%

ADMINIST_SIGNGU_CD
Real number (ℝ)

HIGH CORRELATION

Distinct	91
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5079115.7

Minimum	3730000
Maximum	9999010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	3730000
5-th percentile	4200000
Q1	4680000
median	4950000
Q3	5410000
95-th percentile	6510000
Maximum	9999010
Range	6269010
Interquartile range (IQR)	730000

Descriptive statistics

Standard deviation	704272.32
Coefficient of variation (CV)	0.13866042
Kurtosis	7.2203593
Mean	5079115.7
Median Absolute Deviation (MAD)	350000
Skewness	1.7013077
Sum	5.0791157 × 10¹⁰
Variance	4.959995 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6510000	696	7.0%
4690000	463	4.6%
4950000	426	4.3%
5100000	410	4.1%
5600000	408	4.1%
4540000	366	3.7%
6520000	366	3.7%
4780000	291	2.9%
5130000	265	2.6%
4830000	264	2.6%
Other values (81)	6045	60.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3730000	122	1.2%
3940000	84	0.8%
4050000	36	0.4%
4060000	87	0.9%
4070000	23	0.2%
4090000	27	0.3%
4140000	59	0.6%
4190000	42	0.4%
4200000	237	2.4%
4260000	85	0.9%

Value	Count	Frequency (%)
9999010	33	0.3%
6520000	366	3.7%
6510000	696	7.0%
5710000	30	0.3%
5700000	136	1.4%
5680000	49	0.5%
5670000	50	0.5%
5600000	408	4.1%
5590000	57	0.6%
5530000	28	0.3%

ADMINIST_SIGNGU_NM
Text

Distinct	91
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	4
Median length	3
Mean length	3.0366
Min length	3

Characters and Unicode

Total characters	30366
Distinct characters	81
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	1 ?
Unique (%)	< 0.1%

Sample

1st row	진주시
2nd row	세종시
3rd row	제주시
4th row	함평군
5th row	포천시

Value	Count	Frequency (%)
제주시	696	7.0%
정읍시	463	4.6%
무안군	426	4.3%
영천시	410	4.1%
포천시	408	4.1%
논산시	366	3.7%
서귀포시	366	3.7%
고창군	291	2.9%
경산시	265	2.6%
나주시	264	2.6%
Other values (81)	6045	60.5%

Most occurring characters

Value	Count	Frequency (%)
시	5968	19.7%
군	4183	13.8%
주	1946	6.4%
천	1473	4.9%
산	1384	4.6%
제	1042	3.4%
포	969	3.2%
창	679	2.2%
고	623	2.1%
안	581	1.9%
Other values (71)	11518	37.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	30366	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	5968	19.7%
군	4183	13.8%
주	1946	6.4%
천	1473	4.9%
산	1384	4.6%
제	1042	3.4%
포	969	3.2%
창	679	2.2%
고	623	2.1%
안	581	1.9%
Other values (71)	11518	37.9%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	30366	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	5968	19.7%
군	4183	13.8%
주	1946	6.4%
천	1473	4.9%
산	1384	4.6%
제	1042	3.4%
포	969	3.2%
창	679	2.2%
고	623	2.1%
안	581	1.9%
Other values (71)	11518	37.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	30366	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	5968	19.7%
군	4183	13.8%
주	1946	6.4%
천	1473	4.9%
산	1384	4.6%
제	1042	3.4%
포	969	3.2%
창	679	2.2%
고	623	2.1%
안	581	1.9%
Other values (71)	11518	37.9%

ADMINIST_EMD_CD
Real number (ℝ)

HIGH CORRELATION

Distinct	161
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5070920.4

Minimum	3730020
Maximum	6520043
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	3730020
5-th percentile	4200051
Q1	4680036
median	4950037
Q3	5410042
95-th percentile	6510039
Maximum	6520043
Range	2790023
Interquartile range (IQR)	730006

Descriptive statistics

Standard deviation	643738.58
Coefficient of variation (CV)	0.12694709
Kurtosis	0.39438736
Mean	5070920.4
Median Absolute Deviation (MAD)	349999
Skewness	0.81382225
Sum	5.0709204 × 10¹⁰
Variance	4.1439936 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6510037	466	4.7%
4540045	335	3.4%
5600015	300	3.0%
4780034	291	2.9%
4950032	270	2.7%
5130043	265	2.6%
5310081	187	1.9%
5100081	186	1.9%
4830045	186	1.9%
4690061	185	1.8%
Other values (151)	7329	73.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3730020	122	1.2%
3950019	84	0.8%
4060050	87	0.9%
4070038	5	0.1%
4070041	18	0.2%
4090146	27	0.3%
4140030	59	0.6%
4190062	42	0.4%
4200051	111	1.1%
4200055	70	0.7%

Value	Count	Frequency (%)
6520043	109	1.1%
6520032	81	0.8%
6520031	37	0.4%
6520029	65	0.7%
6520028	74	0.7%
6510041	31	0.3%
6510040	44	0.4%
6510039	116	1.2%
6510038	39	0.4%
6510037	466	4.7%

ADMINIST_EMD_NM
Text

Distinct	161
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	5
Median length	3
Mean length	3.0633
Min length	2

Characters and Unicode

Total characters	30633
Distinct characters	141
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	초장동
2nd row	연서면
3rd row	한림읍
4th row	손불면
5th row	창수면

Value	Count	Frequency (%)
한림읍	466	4.7%
광석면	335	3.4%
창수면	300	3.0%
고창읍	291	2.9%
무안읍	270	2.7%
압량면	265	2.6%
초장동	187	1.9%
송월동	186	1.9%
남부동	186	1.9%
신태인읍	185	1.8%
Other values (151)	7329	73.3%

Most occurring characters

Value	Count	Frequency (%)
읍	4226	13.8%
면	3857	12.6%
동	2312	7.5%
창	919	3.0%
산	676	2.2%
한	563	1.8%
대	532	1.7%
림	523	1.7%
성	490	1.6%
안	472	1.5%
Other values (131)	16063	52.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	30385	99.2%
Decimal Number	248	0.8%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
읍	4226	13.9%
면	3857	12.7%
동	2312	7.6%
창	919	3.0%
산	676	2.2%
한	563	1.9%
대	532	1.8%
림	523	1.7%
성	490	1.6%
안	472	1.6%
Other values (129)	15815	52.0%

Decimal Number

Value	Count	Frequency (%)
1	191	77.0%
2	57	23.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	30385	99.2%
Common	248	0.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
읍	4226	13.9%
면	3857	12.7%
동	2312	7.6%
창	919	3.0%
산	676	2.2%
한	563	1.9%
대	532	1.8%
림	523	1.7%
성	490	1.6%
안	472	1.6%
Other values (129)	15815	52.0%

Common

Value	Count	Frequency (%)
1	191	77.0%
2	57	23.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	30385	99.2%
ASCII	248	0.8%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
읍	4226	13.9%
면	3857	12.7%
동	2312	7.6%
창	919	3.0%
산	676	2.2%
한	563	1.9%
대	532	1.8%
림	523	1.7%
성	490	1.6%
안	472	1.6%
Other values (129)	15815	52.0%

ASCII

Value	Count	Frequency (%)
1	191	77.0%
2	57	23.0%

SPRAY_YM
Real number (ℝ)

SKEWED

Distinct	66
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	201319.17

Minimum	32107
Maximum	201601
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	32107
5-th percentile	201307
Q1	201404
median	201411
Q3	201505
95-th percentile	201511
Maximum	201601
Range	169494
Interquartile range (IQR)	101

Descriptive statistics

Standard deviation	3628.2989
Coefficient of variation (CV)	0.01802262
Kurtosis	1236.1514
Mean	201319.17
Median Absolute Deviation (MAD)	92
Skewness	-33.958829
Sum	2.0131917 × 10⁹
Variance	13164553
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
201411	523	5.2%
201503	495	5.0%
201504	483	4.8%
201404	483	4.8%
201505	452	4.5%
201410	444	4.4%
201403	427	4.3%
201412	415	4.2%
201510	403	4.0%
201511	392	3.9%
Other values (56)	5483	54.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
32107	1	< 0.1%
51402	1	< 0.1%
81406	1	< 0.1%
91409	1	< 0.1%
101306	1	< 0.1%
101504	2	< 0.1%
101511	1	< 0.1%
120110	1	< 0.1%
131512	1	< 0.1%
161511	1	< 0.1%

Value	Count	Frequency (%)
201601	61	0.6%
201512	304	3.0%
201511	392	3.9%
201510	403	4.0%
201509	293	2.9%
201508	244	2.4%
201507	210	2.1%
201506	330	3.3%
201505	452	4.5%
201504	483	4.8%

SPRAY_QY
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	4538
Distinct (%)	45.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1149.8766

Minimum	0
Maximum	1958880
Zeros	343
Zeros (%)	3.4%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	15
median	78.13
Q3	427
95-th percentile	2661.05
Maximum	1958880
Range	1958880
Interquartile range (IQR)	412

Descriptive statistics

Standard deviation	27172.383
Coefficient of variation (CV)	23.630695
Kurtosis	3519.2897
Mean	1149.8766
Median Absolute Deviation (MAD)	74.13
Skewness	56.32754
Sum	11498766
Variance	7.3833837 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	343	3.4%
10.0	112	1.1%
5.0	111	1.1%
3.0	101	1.0%
8.0	94	0.9%
2.0	92	0.9%
6.0	88	0.9%
1.0	85	0.9%
7.0	80	0.8%
15.0	79	0.8%
Other values (4528)	8815	88.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	343	3.4%
0.007	1	< 0.1%
0.017	1	< 0.1%
0.025	1	< 0.1%
0.063	1	< 0.1%
0.067	1	< 0.1%
0.07	1	< 0.1%
0.08	1	< 0.1%
0.1	2	< 0.1%
0.106	1	< 0.1%

Value	Count	Frequency (%)
1958880.0	1	< 0.1%
1358650.0	1	< 0.1%
985502.0	1	< 0.1%
518103.0	1	< 0.1%
466053.0	1	< 0.1%
462795.0	1	< 0.1%
97802.9	1	< 0.1%
59292.0	1	< 0.1%
46483.0	1	< 0.1%
32814.028	1	< 0.1%

AR
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	8563
Distinct (%)	85.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	370545.99

Minimum	0
Maximum	1.3380698 × 10⁸
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1048
Q1	5261
median	22699
Q3	128927.5
95-th percentile	990672.77
Maximum	1.3380698 × 10⁸
Range	1.3380698 × 10⁸
Interquartile range (IQR)	123666.5

Descriptive statistics

Standard deviation	3451208.8
Coefficient of variation (CV)	9.3138474
Kurtosis	780.02988
Mean	370545.99
Median Absolute Deviation (MAD)	20759.6
Skewness	25.873567
Sum	3.7054599 × 10⁹
Variance	1.1910842 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6000.0	12	0.1%
545.0	10	0.1%
10000.0	9	0.1%
15208.0	9	0.1%
1372.0	8	0.1%
4000.0	8	0.1%
1812.0	7	0.1%
2852.0	7	0.1%
721.0	7	0.1%
1587.0	7	0.1%
Other values (8553)	9916	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	2	< 0.1%
3.95	1	< 0.1%
12.82	1	< 0.1%
30.0	1	< 0.1%
46.0	1	< 0.1%
49.0	1	< 0.1%
51.0	1	< 0.1%
52.0	1	< 0.1%
56.0	5	0.1%
57.0	1	< 0.1%

Value	Count	Frequency (%)
133806976.0	1	< 0.1%
125692469.0	1	< 0.1%
106788740.0	1	< 0.1%
105228151.0	1	< 0.1%
97047454.0	1	< 0.1%
83996648.0	1	< 0.1%
82373168.0	1	< 0.1%
82340360.0	1	< 0.1%
73351120.0	1	< 0.1%
63419388.0	1	< 0.1%

CROPS_CD
Text

Distinct	55
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	60000
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B76020
2nd row	B76290
3rd row	B76460
4th row	B76050
5th row	B76110

Value	Count	Frequency (%)
b76010	2014	20.1%
b76430	1120	11.2%
b76020	626	6.3%
b76030	576	5.8%
b76400	480	4.8%
b76050	476	4.8%
b76090	396	4.0%
b76200	311	3.1%
b76420	269	2.7%
b76070	267	2.7%
Other values (45)	3465	34.6%

Most occurring characters

Value	Count	Frequency (%)
0	15770	26.3%
6	10454	17.4%
7	10338	17.2%
B	10000	16.7%
1	3249	5.4%
3	3028	5.0%
2	2604	4.3%
4	2453	4.1%
5	852	1.4%
9	789	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	83.3%
Uppercase Letter	10000	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	15770	31.5%
6	10454	20.9%
7	10338	20.7%
1	3249	6.5%
3	3028	6.1%
2	2604	5.2%
4	2453	4.9%
5	852	1.7%
9	789	1.6%
8	463	0.9%

Uppercase Letter

Value	Count	Frequency (%)
B	10000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	83.3%
Latin	10000	16.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	15770	31.5%
6	10454	20.9%
7	10338	20.7%
1	3249	6.5%
3	3028	6.1%
2	2604	5.2%
4	2453	4.9%
5	852	1.7%
9	789	1.6%
8	463	0.9%

Latin

Value	Count	Frequency (%)
B	10000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	15770	26.3%
6	10454	17.4%
7	10338	17.2%
B	10000	16.7%
1	3249	5.4%
3	3028	5.0%
2	2604	4.3%
4	2453	4.1%
5	852	1.4%
9	789	1.3%

CROPS_NM
Text

Distinct	55
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	9
Median length	5
Mean length	2.2521
Min length	1

Characters and Unicode

Total characters	22521
Distinct characters	82
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	0 ?
Unique (%)	0.0%

Sample

1st row	보리
2nd row	배
3rd row	라이그라스
4th row	옥수수
5th row	시금치

Value	Count	Frequency (%)
벼	2014	20.1%
기타	1120	11.2%
보리	626	6.3%
콩	576	5.8%
이탈리안라이그라스	480	4.8%
옥수수	476	4.8%
배추	396	4.0%
고추	311	3.1%
수단글라스	269	2.7%
감자	267	2.7%
Other values (45)	3465	34.6%

Most occurring characters

Value	Count	Frequency (%)
벼	2014	8.9%
라	1600	7.1%
리	1329	5.9%
수	1302	5.8%
기	1201	5.3%
이	1190	5.3%
타	1120	5.0%
추	956	4.2%
스	930	4.1%
보	829	3.7%
Other values (72)	10050	44.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	22521	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
벼	2014	8.9%
라	1600	7.1%
리	1329	5.9%
수	1302	5.8%
기	1201	5.3%
이	1190	5.3%
타	1120	5.0%
추	956	4.2%
스	930	4.1%
보	829	3.7%
Other values (72)	10050	44.6%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	22521	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
벼	2014	8.9%
라	1600	7.1%
리	1329	5.9%
수	1302	5.8%
기	1201	5.3%
이	1190	5.3%
타	1120	5.0%
추	956	4.2%
스	930	4.1%
보	829	3.7%
Other values (72)	10050	44.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	22521	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
벼	2014	8.9%
라	1600	7.1%
리	1329	5.9%
수	1302	5.8%
기	1201	5.3%
이	1190	5.3%
타	1120	5.0%
추	956	4.2%
스	930	4.1%
보	829	3.7%
Other values (72)	10050	44.6%

Heatmap
Table

	EXAMIN_YEAR	ORGNZT_SE_NM	ORGNZT_SE_CD	ADMINIST_ATPT_CD	ADMINIST_ATPT_NM	ADMINIST_SIGNGU_CD	ADMINIST_SIGNGU_NM	ADMINIST_EMD_CD	SPRAY_YM	SPRAY_QY	AR	CROPS_CD	CROPS_NM
EXAMIN_YEAR	1.000	0.504	0.504	0.723	0.715	0.513	0.971	0.596	0.000	0.000	0.048	0.440	0.440
ORGNZT_SE_NM	0.504	1.000	1.000	0.243	0.551	0.325	0.938	0.412	0.047	0.000	0.054	0.337	0.337
ORGNZT_SE_CD	0.504	1.000	1.000	0.243	0.551	0.325	0.938	0.412	0.047	0.000	0.054	0.337	0.337
ADMINIST_ATPT_CD	0.723	0.243	0.243	1.000	1.000	0.372	1.000	0.663	0.000	0.000	0.000	0.429	0.429
ADMINIST_ATPT_NM	0.715	0.551	0.551	1.000	1.000	0.948	1.000	0.905	0.000	0.024	0.113	0.650	0.650
ADMINIST_SIGNGU_CD	0.513	0.325	0.325	0.372	0.948	1.000	1.000	0.945	0.000	0.000	0.141	0.589	0.589
ADMINIST_SIGNGU_NM	0.971	0.938	0.938	1.000	1.000	1.000	1.000	1.000	0.000	0.607	0.000	0.781	0.781
ADMINIST_EMD_CD	0.596	0.412	0.412	0.663	0.905	0.945	1.000	1.000	0.000	0.032	0.163	0.600	0.600
SPRAY_YM	0.000	0.047	0.047	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000
SPRAY_QY	0.000	0.000	0.000	0.000	0.024	0.000	0.607	0.032	0.000	1.000	0.000	0.000	0.000
AR	0.048	0.054	0.054	0.000	0.113	0.141	0.000	0.163	0.000	0.000	1.000	0.000	0.000
CROPS_CD	0.440	0.337	0.337	0.429	0.650	0.589	0.781	0.600	0.000	0.000	0.000	1.000	1.000
CROPS_NM	0.440	0.337	0.337	0.429	0.650	0.589	0.781	0.600	0.000	0.000	0.000	1.000	1.000

Heatmap
Table

	ORGNZT_SE_NM	ORGNZT_SE_CD	ADMINIST_ATPT_NM
ORGNZT_SE_NM	1.000	1.000	0.366
ORGNZT_SE_CD	1.000	1.000	0.366
ADMINIST_ATPT_NM	0.366	0.366	1.000

Heatmap
Table

	EXAMIN_YEAR	ADMINIST_ATPT_CD	ADMINIST_SIGNGU_CD	ADMINIST_EMD_CD	SPRAY_YM	SPRAY_QY	AR	ORGNZT_SE_NM	ORGNZT_SE_CD	ADMINIST_ATPT_NM
EXAMIN_YEAR	1.000	0.067	0.147	0.130	0.050	0.036	0.004	0.310	0.310	0.397
ADMINIST_ATPT_CD	0.067	1.000	0.692	0.681	-0.076	0.043	0.105	0.192	0.192	1.000
ADMINIST_SIGNGU_CD	0.147	0.692	1.000	0.984	-0.064	0.048	0.100	0.239	0.239	0.868
ADMINIST_EMD_CD	0.130	0.681	0.984	1.000	-0.067	0.051	0.103	0.292	0.292	0.757
SPRAY_YM	0.050	-0.076	-0.064	-0.067	1.000	0.038	0.002	0.019	0.019	0.000
SPRAY_QY	0.036	0.043	0.048	0.051	0.038	1.000	0.853	0.000	0.000	0.013
AR	0.004	0.105	0.100	0.103	0.002	0.853	1.000	0.034	0.034	0.051
ORGNZT_SE_NM	0.310	0.192	0.239	0.292	0.019	0.000	0.034	1.000	1.000	0.366
ORGNZT_SE_CD	0.310	0.192	0.239	0.292	0.019	0.000	0.034	1.000	1.000	0.366
ADMINIST_ATPT_NM	0.397	1.000	0.868	0.757	0.000	0.013	0.051	0.366	0.366	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

	EXAMIN_YEAR	ORGNZT_SE_NM	ORGNZT_SE_CD	ADMINIST_ATPT_CD	ADMINIST_ATPT_NM	ADMINIST_SIGNGU_CD	ADMINIST_SIGNGU_NM	ADMINIST_EMD_CD	ADMINIST_EMD_NM	SPRAY_YM	SPRAY_QY	AR	CROPS_CD	CROPS_NM
4716	2003	액비유통센터	B66020	6480000	경상남도	5310000	진주시	5310081	초장동	201411	5.0	2204.0	B76020	보리
5764	2009	액비유통센터	B66020	5690000	세종특별자치시	9999010	세종시	5690072	연서면	201510	927.6	94404.0	B76290	배
10476	2007	액비유통센터	B66020	6500000	제주특별자치도	6510000	제주시	6510037	한림읍	201407	762.0	414578.0	B76460	라이그라스
7973	2007	액비유통센터	B66020	6460000	전라남도	4960000	함평군	4960032	손불면	201501	17.87	8978.0	B76050	옥수수
6882	2011	공동자원화&액비유통센터	B66030	6410000	경기도	5600000	포천시	5600015	창수면	201510	264.0	95633.0	B76110	시금치
1865	2010	공동자원화&액비유통센터	B66030	6440000	충청남도	4500000	공주시	4500069	신관동	201508	65.0	16096.7	B76210	마늘
1783	2003	액비유통센터	B66020	6480000	경상남도	5310000	진주시	5310081	초장동	201508	276.0	91240.0	B76050	옥수수
9971	2010	액비유통센터	B66020	6450000	전라북도	4780000	고창군	4780034	고창읍	201411	718.0	184480.6	B76010	벼
7159	2011	액비유통센터	B66020	6440000	충청남도	4500000	공주시	4500055	계룡면	201503	7.0	1527.0	B76030	콩
5082	2009	액비유통센터	B66020	6500000	제주특별자치도	6510000	제주시	6510037	한림읍	201406	1365.0	1507146.0	B76430	기타

	EXAMIN_YEAR	ORGNZT_SE_NM	ORGNZT_SE_CD	ADMINIST_ATPT_CD	ADMINIST_ATPT_NM	ADMINIST_SIGNGU_CD	ADMINIST_SIGNGU_NM	ADMINIST_EMD_CD	ADMINIST_EMD_NM	SPRAY_YM	SPRAY_QY	AR	CROPS_CD	CROPS_NM
1096	2006	액비유통센터	B66020	6440000	충청남도	4580000	서천군	4580038	한산면	201501	3.2	3558.0	B76020	보리
9530	2012	공동자원화	B66010	6460000	전라남도	4980000	장성군	4980033	장성읍	201505	5047.081	1035798.3	B76430	기타
1488	2004	액비유통센터	B66020	6470000	경상북도	5020000	포항시	5030047	상대동	201403	103.0	11832.0	B76020	보리
8144	2007	액비유통센터	B66020	6500000	제주특별자치도	6510000	제주시	6510037	한림읍	201509	78.0	7008.0	B76100	양배추
2436	2014	기타민간조직	B66040	6460000	전라남도	4850000	담양군	4850034	봉산면	201405	58.062	73876.1	B76010	벼
1553	1996	기타민간조직	B66040	6420000	강원도	4200000	강릉시	4200051	주문진읍	201511	159.494	20982.0	B76230	파
4477	2008	공동자원화	B66010	6500000	제주특별자치도	6510000	제주시	6510037	한림읍	201509	1207.0	1221059.0	B76400	이탈리안라이그라스
10755	2006	기타민간조직	B66040	6450000	전라북도	4690000	정읍시	4690073	칠보면	201505	345.0	181842.6	B76010	벼
8719	2010	액비유통센터	B66020	6450000	전라북도	4780000	고창군	4780034	고창읍	201504	27.0	7233.0	B76080	무
6820	2010	공동자원화&액비유통센터	B66030	6450000	전라북도	4680000	익산시	4680030	함열읍	201509	162.0	8746.0	B76080	무

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

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

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

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