gimi9 Pandas Profiling

Dataset statistics

Number of variables	18
Number of observations	196
Missing cells	879
Missing cells (%)	24.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	29.0 KiB
Average record size in memory	151.7 B

Variable types

Text	10
Numeric	7
Categorical	1

Dataset

Description	외교부 홈페이지에 공개 중인 각 국가별 약황 정보 중 경제와 관련된 정보를 CSV 형식으로 제공 합니다.(데이터 업데이트 주기: 6개월, 실시간 정보는 동명의 API 참고)
Author	외교부
URL	https://www.data.go.kr/data/15076559/fileData.do

Alerts

`국내총생산(GDP)` is highly overall correlated with `수출액` and 1 other fields	High correlation
`물가상승률` is highly overall correlated with `실업률 설명`	High correlation
`수출액` is highly overall correlated with `국내총생산(GDP)` and 1 other fields	High correlation
`수입액` is highly overall correlated with `국내총생산(GDP)` and 1 other fields	High correlation
`실업률 설명` is highly overall correlated with `물가상승률`	High correlation
`실업률 설명` is highly imbalanced (54.4%)	Imbalance
`국가코드(ISO 2자리)` has 2 (1.0%) missing values	Missing
`국내총생산(GDP) 설명` has 3 (1.5%) missing values	Missing
`1인당 총생산(GDP) 설명` has 4 (2.0%) missing values	Missing
`경제성장률` has 34 (17.3%) missing values	Missing
`경제성장률 설명` has 41 (20.9%) missing values	Missing
`물가상승률` has 135 (68.9%) missing values	Missing
`물가상승률 설명` has 144 (73.5%) missing values	Missing
`실업률` has 128 (65.3%) missing values	Missing
`화폐단위` has 72 (36.7%) missing values	Missing
`주요자원` has 148 (75.5%) missing values	Missing
`주요산업` has 154 (78.6%) missing values	Missing
`수출액` has 5 (2.6%) missing values	Missing
`수입액` has 5 (2.6%) missing values	Missing

Reproduction

Analysis started	2024-03-14 14:12:48.726530
Analysis finished	2024-03-14 14:13:04.174525
Duration	15.45 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

한글 국가명
Text

Distinct	195
Distinct (%)	100.0%
Missing	1
Missing (%)	0.5%
Memory size	1.7 KiB

Length

Max length	10
Median length	9
Mean length	3.974359
Min length	2

Characters and Unicode

Total characters	775
Distinct characters	177
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	195 ?
Unique (%)	100.0%

Sample

1st row	가나
2nd row	가봉
3rd row	가이아나
4th row	감비아
5th row	과테말라

Value	Count	Frequency (%)
가나	1	0.5%
엘살바도르	1	0.5%
오스트리아	1	0.5%
이집트	1	0.5%
온두라스	1	0.5%
요르단	1	0.5%
우간다	1	0.5%
우루과이	1	0.5%
우즈베키스탄	1	0.5%
우크라이나	1	0.5%
Other values (185)	185	94.9%

Most occurring characters

Value	Count	Frequency (%)
아	55	7.1%
리	31	4.0%
스	28	3.6%
르	24	3.1%
니	24	3.1%
이	23	3.0%
라	20	2.6%
바	16	2.1%
나	15	1.9%
도	14	1.8%
Other values (167)	525	67.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	775	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
아	55	7.1%
리	31	4.0%
스	28	3.6%
르	24	3.1%
니	24	3.1%
이	23	3.0%
라	20	2.6%
바	16	2.1%
나	15	1.9%
도	14	1.8%
Other values (167)	525	67.7%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	775	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
아	55	7.1%
리	31	4.0%
스	28	3.6%
르	24	3.1%
니	24	3.1%
이	23	3.0%
라	20	2.6%
바	16	2.1%
나	15	1.9%
도	14	1.8%
Other values (167)	525	67.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	775	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
아	55	7.1%
리	31	4.0%
스	28	3.6%
르	24	3.1%
니	24	3.1%
이	23	3.0%
라	20	2.6%
바	16	2.1%
나	15	1.9%
도	14	1.8%
Other values (167)	525	67.7%

영문 국가명
Text

Distinct	195
Distinct (%)	100.0%
Missing	1
Missing (%)	0.5%
Memory size	1.7 KiB

Length

Max length	30
Median length	26
Mean length	8.5641026
Min length	3

Characters and Unicode

Total characters	1670
Distinct characters	56
Distinct categories	5 ?
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	195 ?
Unique (%)	100.0%

Sample

1st row	Ghana
2nd row	Gabon
3rd row	Guyana
4th row	Gambia
5th row	Guatemala

Value	Count	Frequency (%)
republic	5	2.0%
	5	2.0%
of	4	1.6%
united	3	1.2%
guinea	3	1.2%
islands	3	1.2%
st	3	1.2%
states	2	0.8%
new	2	0.8%
congo	2	0.8%
Other values (215)	217	87.1%

Most occurring characters

Value	Count	Frequency (%)
a	247	14.8%
i	148	8.9%
n	124	7.4%
e	118	7.1%
o	91	5.4%
r	89	5.3%
u	64	3.8%
t	63	3.8%
l	58	3.5%
s	57	3.4%
Other values (46)	611	36.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1354	81.1%
Uppercase Letter	249	14.9%
Space Separator	54	3.2%
Other Punctuation	9	0.5%
Dash Punctuation	4	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	247	18.2%
i	148	10.9%
n	124	9.2%
e	118	8.7%
o	91	6.7%
r	89	6.6%
u	64	4.7%
t	63	4.7%
l	58	4.3%
s	57	4.2%
Other values (16)	295	21.8%

Uppercase Letter

Value	Count	Frequency (%)
S	29	11.6%
C	20	8.0%
M	20	8.0%
B	19	7.6%
A	17	6.8%
G	15	6.0%
T	15	6.0%
N	13	5.2%
L	13	5.2%
I	12	4.8%
Other values (14)	76	30.5%

Other Punctuation

Value	Count	Frequency (%)
.	3	33.3%
&	3	33.3%
:	2	22.2%
'	1	11.1%

Space Separator

Value	Count	Frequency (%)
	54	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1603	96.0%
Common	67	4.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	247	15.4%
i	148	9.2%
n	124	7.7%
e	118	7.4%
o	91	5.7%
r	89	5.6%
u	64	4.0%
t	63	3.9%
l	58	3.6%
s	57	3.6%
Other values (40)	544	33.9%

Common

Value	Count	Frequency (%)
	54	80.6%
-	4	6.0%
.	3	4.5%
&	3	4.5%
:	2	3.0%
'	1	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1670	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	247	14.8%
i	148	8.9%
n	124	7.4%
e	118	7.1%
o	91	5.4%
r	89	5.3%
u	64	3.8%
t	63	3.8%
l	58	3.5%
s	57	3.4%
Other values (46)	611	36.6%

국가코드(ISO 2자리)
Text

MISSING

Distinct	194
Distinct (%)	100.0%
Missing	2
Missing (%)	1.0%
Memory size	1.7 KiB

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	388
Distinct characters	26
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	194 ?
Unique (%)	100.0%

Sample

1st row	GH
2nd row	GA
3rd row	GY
4th row	GM
5th row	GT

Value	Count	Frequency (%)
mr	1	0.5%
td	1	0.5%
ir	1	0.5%
eg	1	0.5%
at	1	0.5%
hn	1	0.5%
jo	1	0.5%
ug	1	0.5%
uy	1	0.5%
uz	1	0.5%
Other values (184)	184	94.8%

Most occurring characters

Value	Count	Frequency (%)
M	30	7.7%
S	27	7.0%
T	24	6.2%
G	23	5.9%
A	21	5.4%
C	21	5.4%
B	21	5.4%
E	19	4.9%
L	19	4.9%
N	18	4.6%
Other values (16)	165	42.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	388	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	30	7.7%
S	27	7.0%
T	24	6.2%
G	23	5.9%
A	21	5.4%
C	21	5.4%
B	21	5.4%
E	19	4.9%
L	19	4.9%
N	18	4.6%
Other values (16)	165	42.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	388	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	30	7.7%
S	27	7.0%
T	24	6.2%
G	23	5.9%
A	21	5.4%
C	21	5.4%
B	21	5.4%
E	19	4.9%
L	19	4.9%
N	18	4.6%
Other values (16)	165	42.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	388	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	30	7.7%
S	27	7.0%
T	24	6.2%
G	23	5.9%
A	21	5.4%
C	21	5.4%
B	21	5.4%
E	19	4.9%
L	19	4.9%
N	18	4.6%
Other values (16)	165	42.5%

국내총생산(GDP)
Real number (ℝ)

HIGH CORRELATION

Distinct	192
Distinct (%)	98.5%
Missing	1
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	4.912923 × 10¹¹

Minimum	30800000
Maximum	2.54627 × 10¹³
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 KiB

Quantile statistics

Minimum	30800000
5-th percentile	5.7123 × 10⁸
Q1	8.625 × 10⁹
median	3.71 × 10¹⁰
Q3	2.1935 × 10¹¹
95-th percentile	1.67872 × 10¹²
Maximum	2.54627 × 10¹³
Range	2.5462669 × 10¹³
Interquartile range (IQR)	2.10725 × 10¹¹

Descriptive statistics

Standard deviation	2.2893608 × 10¹²
Coefficient of variation (CV)	4.6598751
Kurtosis	90.344327
Mean	4.912923 × 10¹¹
Median Absolute Deviation (MAD)	3.48 × 10¹⁰
Skewness	9.1372724
Sum	9.5801999 × 10¹³
Variance	5.2411728 × 10²⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4000000000	2	1.0%
21200000000	2	1.0%
2600000000	2	1.0%
476700000000	1	0.5%
31500000000	1	0.5%
45200000000	1	0.5%
45560000000	1	0.5%
71100000000	1	0.5%
64357000000	1	0.5%
200100000000	1	0.5%
Other values (182)	182	92.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30800000	1	0.5%
63500000	1	0.5%
181000000	1	0.5%
249000000	1	0.5%
252000000	1	0.5%
258000000	1	0.5%
404000000	1	0.5%
490000000	1	0.5%
500000000	1	0.5%
504100000	1	0.5%

Value	Count	Frequency (%)
25462700000000	1	0.5%
17963200000000	1	0.5%
4231100000000	1	0.5%
4100000000000	1	0.5%
3131300000000	1	0.5%
2950000000000	1	0.5%
2935500000000	1	0.5%
2106300000000	1	0.5%
1874700000000	1	0.5%
1862400000000	1	0.5%

국내총생산(GDP) 설명
Text

MISSING

Distinct	78
Distinct (%)	40.4%
Missing	3
Missing (%)	1.5%
Memory size	1.7 KiB

Length

Max length	42
Median length	26
Mean length	12.165803
Min length	5

Characters and Unicode

Total characters	2348
Distinct characters	90
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	52 ?
Unique (%)	26.9%

Sample

1st row	('21 IMF)
2nd row	('21 World Bank)
3rd row	('22 World Bank)
4th row	(2022, IMF)
5th row	(2022, IMF)

Value	Count	Frequency (%)
imf	76	17.5%
2022	57	13.1%
world	37	8.5%
bank	37	8.5%
2021	36	8.3%
21	26	6.0%
22	22	5.1%
wb	17	3.9%
unctad	13	3.0%
eiu	9	2.1%
Other values (46)	104	24.0%

Most occurring characters

Value	Count	Frequency (%)
2	386	16.4%
	243	10.3%
(	193	8.2%
)	193	8.2%
0	123	5.2%
,	101	4.3%
I	97	4.1%
F	85	3.6%
M	84	3.6%
1	83	3.5%
Other values (80)	760	32.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	612	26.1%
Uppercase Letter	511	21.8%
Lowercase Letter	291	12.4%
Space Separator	243	10.3%
Open Punctuation	193	8.2%
Close Punctuation	193	8.2%
Other Punctuation	188	8.0%
Other Letter	99	4.2%
Initial Punctuation	16	0.7%
Final Punctuation	2	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
추	9	9.1%
정	8	8.1%
계	8	8.1%
치	7	7.1%
은	5	5.1%
행	5	5.1%
목	4	4.0%
명	4	4.0%
기	4	4.0%
세	4	4.0%
Other values (32)	41	41.4%

Uppercase Letter

Value	Count	Frequency (%)
I	97	19.0%
F	85	16.6%
M	84	16.4%
B	57	11.2%
W	57	11.2%
U	25	4.9%
T	17	3.3%
A	16	3.1%
D	15	2.9%
C	13	2.5%
Other values (9)	45	8.8%

Lowercase Letter

Value	Count	Frequency (%)
a	47	16.2%
r	37	12.7%
l	37	12.7%
d	37	12.7%
o	37	12.7%
n	37	12.7%
k	37	12.7%
t	20	6.9%
h	1	0.3%
e	1	0.3%

Decimal Number

Value	Count	Frequency (%)
2	386	63.1%
0	123	20.1%
1	83	13.6%
3	13	2.1%
9	5	0.8%
8	1	0.2%
5	1	0.2%

Other Punctuation

Value	Count	Frequency (%)
,	101	53.7%
'	60	31.9%
.	20	10.6%
/	3	1.6%
:	2	1.1%
%	1	0.5%
*	1	0.5%

Space Separator

Value	Count	Frequency (%)
	243	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	193	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	193	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	16	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1447	61.6%
Latin	802	34.2%
Hangul	99	4.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
추	9	9.1%
정	8	8.1%
계	8	8.1%
치	7	7.1%
은	5	5.1%
행	5	5.1%
목	4	4.0%
명	4	4.0%
기	4	4.0%
세	4	4.0%
Other values (32)	41	41.4%

Latin

Value	Count	Frequency (%)
I	97	12.1%
F	85	10.6%
M	84	10.5%
B	57	7.1%
W	57	7.1%
a	47	5.9%
r	37	4.6%
l	37	4.6%
d	37	4.6%
o	37	4.6%
Other values (19)	227	28.3%

Common

Value	Count	Frequency (%)
2	386	26.7%
	243	16.8%
(	193	13.3%
)	193	13.3%
0	123	8.5%
,	101	7.0%
1	83	5.7%
'	60	4.1%
.	20	1.4%
‘	16	1.1%
Other values (9)	29	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2231	95.0%
Hangul	99	4.2%
Punctuation	18	0.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	386	17.3%
	243	10.9%
(	193	8.7%
)	193	8.7%
0	123	5.5%
,	101	4.5%
I	97	4.3%
F	85	3.8%
M	84	3.8%
1	83	3.7%
Other values (36)	643	28.8%

Punctuation

Value	Count	Frequency (%)
‘	16	88.9%
’	2	11.1%

Hangul

Value	Count	Frequency (%)
추	9	9.1%
정	8	8.1%
계	8	8.1%
치	7	7.1%
은	5	5.1%
행	5	5.1%
목	4	4.0%
명	4	4.0%
기	4	4.0%
세	4	4.0%
Other values (32)	41	41.4%

1인당 총생산(GDP)
Real number (ℝ)

Distinct	193
Distinct (%)	99.0%
Missing	1
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	18215.728

Minimum	238
Maximum	234315
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 KiB

Quantile statistics

Minimum	238
5-th percentile	640.2
Q1	2268.5
median	5837
Q3	19867.5
95-th percentile	70769.8
Maximum	234315
Range	234077
Interquartile range (IQR)	17599

Descriptive statistics

Standard deviation	31076.933
Coefficient of variation (CV)	1.7060494
Kurtosis	17.870404
Mean	18215.728
Median Absolute Deviation (MAD)	4716
Skewness	3.6923362
Sum	3552067
Variance	9.6577574 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
461	3	1.5%
2410	1	0.5%
4597	1	0.5%
3061	1	0.5%
4406	1	0.5%
964	1	0.5%
20018	1	0.5%
2002	1	0.5%
4830	1	0.5%
5090	1	0.5%
Other values (183)	183	93.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
238	1	0.5%
461	3	1.5%
500	1	0.5%
524	1	0.5%
544	1	0.5%
566	1	0.5%
573	1	0.5%
594	1	0.5%
660	1	0.5%
685	1	0.5%

Value	Count	Frequency (%)
234315	1	0.5%
187000	1	0.5%
152030	1	0.5%
133590	1	0.5%
100172	1	0.5%
89202	1	0.5%
83890	1	0.5%
83303	1	0.5%
82808	1	0.5%
76339	1	0.5%

1인당 총생산(GDP) 설명
Text

MISSING

Distinct	72
Distinct (%)	37.5%
Missing	4
Missing (%)	2.0%
Memory size	1.7 KiB

Length

Max length	27
Median length	23
Mean length	12.088542
Min length	5

Characters and Unicode

Total characters	2321
Distinct characters	72
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	48 ?
Unique (%)	25.0%

Sample

1st row	('21 IMF)
2nd row	('21 World Bank)
3rd row	('22 World Bank)
4th row	(2022, IMF)
5th row	(2022, IMF)

Value	Count	Frequency (%)
imf	82	19.1%
2022	57	13.3%
2021	38	8.9%
world	37	8.6%
bank	37	8.6%
21	27	6.3%
22	23	5.4%
wb	16	3.7%
unctad	13	3.0%
stat	9	2.1%
Other values (39)	90	21.0%

Most occurring characters

Value	Count	Frequency (%)
2	386	16.6%
	238	10.3%
(	192	8.3%
)	192	8.3%
0	123	5.3%
I	98	4.2%
,	97	4.2%
F	89	3.8%
M	88	3.8%
1	84	3.6%
Other values (62)	734	31.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	611	26.3%
Uppercase Letter	510	22.0%
Lowercase Letter	291	12.5%
Space Separator	238	10.3%
Open Punctuation	192	8.3%
Close Punctuation	192	8.3%
Other Punctuation	184	7.9%
Other Letter	86	3.7%
Initial Punctuation	15	0.6%
Final Punctuation	2	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
추	10	11.6%
치	8	9.3%
정	8	9.3%
계	8	9.3%
기	5	5.8%
준	5	5.8%
은	5	5.8%
행	5	5.8%
세	4	4.7%
년	2	2.3%
Other values (19)	26	30.2%

Uppercase Letter

Value	Count	Frequency (%)
I	98	19.2%
F	89	17.5%
M	88	17.3%
B	55	10.8%
W	55	10.8%
U	22	4.3%
T	17	3.3%
A	16	3.1%
N	13	2.5%
C	13	2.5%
Other values (8)	44	8.6%

Lowercase Letter

Value	Count	Frequency (%)
a	47	16.2%
k	37	12.7%
n	37	12.7%
d	37	12.7%
l	37	12.7%
r	37	12.7%
o	37	12.7%
t	20	6.9%
e	1	0.3%
h	1	0.3%

Decimal Number

Value	Count	Frequency (%)
2	386	63.2%
0	123	20.1%
1	84	13.7%
3	13	2.1%
9	5	0.8%

Other Punctuation

Value	Count	Frequency (%)
,	97	52.7%
'	61	33.2%
.	21	11.4%
/	3	1.6%
:	2	1.1%

Space Separator

Value	Count	Frequency (%)
	238	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	192	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	192	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	15	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1434	61.8%
Latin	801	34.5%
Hangul	86	3.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
추	10	11.6%
치	8	9.3%
정	8	9.3%
계	8	9.3%
기	5	5.8%
준	5	5.8%
은	5	5.8%
행	5	5.8%
세	4	4.7%
년	2	2.3%
Other values (19)	26	30.2%

Latin

Value	Count	Frequency (%)
I	98	12.2%
F	89	11.1%
M	88	11.0%
B	55	6.9%
W	55	6.9%
a	47	5.9%
k	37	4.6%
n	37	4.6%
d	37	4.6%
l	37	4.6%
Other values (18)	221	27.6%

Common

Value	Count	Frequency (%)
2	386	26.9%
	238	16.6%
(	192	13.4%
)	192	13.4%
0	123	8.6%
,	97	6.8%
1	84	5.9%
'	61	4.3%
.	21	1.5%
‘	15	1.0%
Other values (5)	25	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2218	95.6%
Hangul	86	3.7%
Punctuation	17	0.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	386	17.4%
	238	10.7%
(	192	8.7%
)	192	8.7%
0	123	5.5%
I	98	4.4%
,	97	4.4%
F	89	4.0%
M	88	4.0%
1	84	3.8%
Other values (31)	631	28.4%

Punctuation

Value	Count	Frequency (%)
‘	15	88.2%
’	2	11.8%

Hangul

Value	Count	Frequency (%)
추	10	11.6%
치	8	9.3%
정	8	9.3%
계	8	9.3%
기	5	5.8%
준	5	5.8%
은	5	5.8%
행	5	5.8%
세	4	4.7%
년	2	2.3%
Other values (19)	26	30.2%

경제성장률
Real number (ℝ)

MISSING

Distinct	90
Distinct (%)	55.6%
Missing	34
Missing (%)	17.3%
Infinite	0
Infinite (%)	0.0%
Mean	3.9603704

Minimum	-26.1
Maximum	17.7
Zeros	1
Zeros (%)	0.5%
Negative	11
Negative (%)	5.6%
Memory size	1.8 KiB

Quantile statistics

Minimum	-26.1
5-th percentile	-1.69
Q1	2.025
median	4.1
Q3	5.83
95-th percentile	10.285
Maximum	17.7
Range	43.8
Interquartile range (IQR)	3.805

Descriptive statistics

Standard deviation	4.522504
Coefficient of variation (CV)	1.1419397
Kurtosis	12.462917
Mean	3.9603704
Median Absolute Deviation (MAD)	1.9
Skewness	-1.8366652
Sum	641.58
Variance	20.453042
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.9	6	3.1%
1.9	6	3.1%
3.0	5	2.6%
5.3	4	2.0%
3.7	4	2.0%
4.8	4	2.0%
4.1	4	2.0%
3.5	4	2.0%
3.6	4	2.0%
4.0	4	2.0%
Other values (80)	117	59.7%
(Missing)	34	17.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-26.1	1	0.5%
-8.0	1	0.5%
-7.8	1	0.5%
-7.0	2	1.0%
-6.6	1	0.5%
-5.5	1	0.5%
-3.9	1	0.5%
-1.7	1	0.5%
-1.5	1	0.5%
-0.5	1	0.5%

Value	Count	Frequency (%)
17.7	1	0.5%
14.9	1	0.5%
13.9	1	0.5%
13.6	1	0.5%
13.19	1	0.5%
11.4	1	0.5%
11.0	1	0.5%
10.4	1	0.5%
10.3	1	0.5%
10.0	2	1.0%

경제성장률 설명
Text

MISSING

Distinct	60
Distinct (%)	38.7%
Missing	41
Missing (%)	20.9%
Memory size	1.7 KiB

Length

Max length	27
Median length	20
Mean length	12.116129
Min length	5

Characters and Unicode

Total characters	1878
Distinct characters	80
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	39 ?
Unique (%)	25.2%

Sample

1st row	('21, IMF)
2nd row	('21, World Bank)
3rd row	('22, World Bank)
4th row	(2021)
5th row	('22, World Bank)

Value	Count	Frequency (%)
imf	62	18.1%
2022	50	14.6%
world	35	10.2%
bank	34	9.9%
21	25	7.3%
22	25	7.3%
2021	20	5.8%
wb	11	3.2%
eiu	10	2.9%
추정치	8	2.3%
Other values (38)	63	18.4%

Most occurring characters

Value	Count	Frequency (%)
2	313	16.7%
	188	10.0%
(	155	8.3%
)	155	8.3%
,	126	6.7%
0	84	4.5%
I	82	4.4%
F	66	3.5%
M	65	3.5%
1	60	3.2%
Other values (70)	584	31.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	469	25.0%
Uppercase Letter	345	18.4%
Lowercase Letter	251	13.4%
Other Punctuation	195	10.4%
Space Separator	188	10.0%
Open Punctuation	155	8.3%
Close Punctuation	155	8.3%
Other Letter	104	5.5%
Initial Punctuation	15	0.8%
Final Punctuation	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
치	11	10.6%
계	11	10.6%
추	10	9.6%
정	8	7.7%
행	6	5.8%
은	6	5.8%
세	5	4.8%
예	4	3.8%
통	4	3.8%
상	3	2.9%
Other values (27)	36	34.6%

Uppercase Letter

Value	Count	Frequency (%)
I	82	23.8%
F	66	19.1%
M	65	18.8%
B	45	13.0%
W	45	13.0%
E	15	4.3%
U	14	4.1%
A	2	0.6%
P	2	0.6%
D	2	0.6%
Other values (6)	7	2.0%

Lowercase Letter

Value	Count	Frequency (%)
o	37	14.7%
k	35	13.9%
a	35	13.9%
l	35	13.9%
d	35	13.9%
r	35	13.9%
n	34	13.5%
b	1	0.4%
w	1	0.4%
f	1	0.4%
Other values (2)	2	0.8%

Decimal Number

Value	Count	Frequency (%)
2	313	66.7%
0	84	17.9%
1	60	12.8%
3	10	2.1%
9	2	0.4%

Other Punctuation

Value	Count	Frequency (%)
,	126	64.6%
'	57	29.2%
.	9	4.6%
/	2	1.0%
:	1	0.5%

Space Separator

Value	Count	Frequency (%)
	188	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	155	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	155	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	15	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1178	62.7%
Latin	596	31.7%
Hangul	104	5.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
치	11	10.6%
계	11	10.6%
추	10	9.6%
정	8	7.7%
행	6	5.8%
은	6	5.8%
세	5	4.8%
예	4	3.8%
통	4	3.8%
상	3	2.9%
Other values (27)	36	34.6%

Latin

Value	Count	Frequency (%)
I	82	13.8%
F	66	11.1%
M	65	10.9%
B	45	7.6%
W	45	7.6%
o	37	6.2%
k	35	5.9%
a	35	5.9%
l	35	5.9%
d	35	5.9%
Other values (18)	116	19.5%

Common

Value	Count	Frequency (%)
2	313	26.6%
	188	16.0%
(	155	13.2%
)	155	13.2%
,	126	10.7%
0	84	7.1%
1	60	5.1%
'	57	4.8%
‘	15	1.3%
3	10	0.8%
Other values (5)	15	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1758	93.6%
Hangul	104	5.5%
Punctuation	16	0.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	313	17.8%
	188	10.7%
(	155	8.8%
)	155	8.8%
,	126	7.2%
0	84	4.8%
I	82	4.7%
F	66	3.8%
M	65	3.7%
1	60	3.4%
Other values (31)	464	26.4%

Punctuation

Value	Count	Frequency (%)
‘	15	93.8%
’	1	6.2%

Hangul

Value	Count	Frequency (%)
치	11	10.6%
계	11	10.6%
추	10	9.6%
정	8	7.7%
행	6	5.8%
은	6	5.8%
세	5	4.8%
예	4	3.8%
통	4	3.8%
상	3	2.9%
Other values (27)	36	34.6%

물가상승률
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	55
Distinct (%)	90.2%
Missing	135
Missing (%)	68.9%
Infinite	0
Infinite (%)	0.0%
Mean	48.876885

Minimum	-0.7
Maximum	2355
Zeros	1
Zeros (%)	0.5%
Negative	1
Negative (%)	0.5%
Memory size	1.8 KiB

Quantile statistics

Minimum	-0.7
5-th percentile	0.9
Q1	4.2
median	7
Q3	11.6
95-th percentile	27.6
Maximum	2355
Range	2355.7
Interquartile range (IQR)	7.4

Descriptive statistics

Standard deviation	300.51947
Coefficient of variation (CV)	6.1484988
Kurtosis	60.719194
Mean	48.876885
Median Absolute Deviation (MAD)	3.6
Skewness	7.7841712
Sum	2981.49
Variance	90311.953
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.0	2	1.0%
5.6	2	1.0%
9.8	2	1.0%
3.4	2	1.0%
6.1	2	1.0%
7.5	2	1.0%
0.0	1	0.5%
5.8	1	0.5%
94.8	1	0.5%
27.6	1	0.5%
Other values (45)	45	23.0%
(Missing)	135	68.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.7	1	0.5%
0.0	1	0.5%
0.2	1	0.5%
0.9	1	0.5%
1.7	1	0.5%
2.0	1	0.5%
2.3	1	0.5%
2.5	1	0.5%
2.7	1	0.5%
2.8	1	0.5%

Value	Count	Frequency (%)
2355.0	1	0.5%
94.8	1	0.5%
59.2	1	0.5%
27.6	1	0.5%
23.0	1	0.5%
20.8	1	0.5%
20.3	1	0.5%
20.08	1	0.5%
18.9	1	0.5%
16.2	1	0.5%

물가상승률 설명
Text

MISSING

Distinct	26
Distinct (%)	50.0%
Missing	144
Missing (%)	73.5%
Memory size	1.7 KiB

Length

Max length	27
Median length	18
Mean length	11.788462
Min length	1

Characters and Unicode

Total characters	613
Distinct characters	65
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	23 ?
Unique (%)	44.2%

Sample

1st row	(2022, IMF)
2nd row	(2022, IMF)
3rd row	(2022, IMF 추정치)
4th row	(2022, IMF 추정치)
5th row	('23, IMF)

Value	Count	Frequency (%)
2022	34	30.1%
imf	31	27.4%
추정치	6	5.3%
eiu	4	3.5%
기준	3	2.7%
2021	3	2.7%
world	2	1.8%
‘21	2	1.8%
bank	2	1.8%
통계청	2	1.8%
Other values (22)	24	21.2%

Most occurring characters

Value	Count	Frequency (%)
2	130	21.2%
	61	10.0%
(	49	8.0%
)	49	8.0%
0	45	7.3%
,	43	7.0%
I	42	6.9%
M	34	5.5%
F	34	5.5%
1	9	1.5%
Other values (55)	117	19.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	187	30.5%
Uppercase Letter	135	22.0%
Other Letter	63	10.3%
Space Separator	61	10.0%
Other Punctuation	53	8.6%
Open Punctuation	49	8.0%
Close Punctuation	49	8.0%
Lowercase Letter	14	2.3%
Initial Punctuation	2	0.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
정	6	9.5%
치	6	9.5%
추	6	9.5%
계	4	6.3%
통	3	4.8%
청	3	4.8%
기	3	4.8%
준	3	4.8%
년	3	4.8%
은	2	3.2%
Other values (21)	24	38.1%

Uppercase Letter

Value	Count	Frequency (%)
I	42	31.1%
M	34	25.2%
F	34	25.2%
E	7	5.2%
U	6	4.4%
W	3	2.2%
B	3	2.2%
N	1	0.7%
A	1	0.7%
T	1	0.7%
Other values (3)	3	2.2%

Lowercase Letter

Value	Count	Frequency (%)
l	2	14.3%
r	2	14.3%
o	2	14.3%
d	2	14.3%
a	2	14.3%
n	2	14.3%
k	2	14.3%

Decimal Number

Value	Count	Frequency (%)
2	130	69.5%
0	45	24.1%
1	9	4.8%
9	2	1.1%
3	1	0.5%

Other Punctuation

Value	Count	Frequency (%)
,	43	81.1%
'	6	11.3%
/	2	3.8%
:	1	1.9%
.	1	1.9%

Space Separator

Value	Count	Frequency (%)
	61	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	49	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	49	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	401	65.4%
Latin	149	24.3%
Hangul	63	10.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
정	6	9.5%
치	6	9.5%
추	6	9.5%
계	4	6.3%
통	3	4.8%
청	3	4.8%
기	3	4.8%
준	3	4.8%
년	3	4.8%
은	2	3.2%
Other values (21)	24	38.1%

Latin

Value	Count	Frequency (%)
I	42	28.2%
M	34	22.8%
F	34	22.8%
E	7	4.7%
U	6	4.0%
W	3	2.0%
B	3	2.0%
l	2	1.3%
r	2	1.3%
o	2	1.3%
Other values (10)	14	9.4%

Common

Value	Count	Frequency (%)
2	130	32.4%
	61	15.2%
(	49	12.2%
)	49	12.2%
0	45	11.2%
,	43	10.7%
1	9	2.2%
'	6	1.5%
‘	2	0.5%
9	2	0.5%
Other values (4)	5	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	548	89.4%
Hangul	63	10.3%
Punctuation	2	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	130	23.7%
	61	11.1%
(	49	8.9%
)	49	8.9%
0	45	8.2%
,	43	7.8%
I	42	7.7%
M	34	6.2%
F	34	6.2%
1	9	1.6%
Other values (23)	52	9.5%

Hangul

Value	Count	Frequency (%)
정	6	9.5%
치	6	9.5%
추	6	9.5%
계	4	6.3%
통	3	4.8%
청	3	4.8%
기	3	4.8%
준	3	4.8%
년	3	4.8%
은	2	3.2%
Other values (21)	24	38.1%

Punctuation

Value	Count	Frequency (%)
‘	2	100.0%

실업률
Real number (ℝ)

MISSING

Distinct	62
Distinct (%)	91.2%
Missing	128
Missing (%)	65.3%
Infinite	0
Infinite (%)	0.0%
Mean	8.1969118

Minimum	1
Maximum	49.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1.97
Q1	4.35
median	6.35
Q3	9.225
95-th percentile	20.965
Maximum	49.8
Range	48.8
Interquartile range (IQR)	4.875

Descriptive statistics

Standard deviation	7.7265866
Coefficient of variation (CV)	0.94262167
Kurtosis	13.530718
Mean	8.1969118
Median Absolute Deviation (MAD)	2.55
Skewness	3.2754372
Sum	557.39
Variance	59.700141
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.6	2	1.0%
5.0	2	1.0%
1.0	2	1.0%
5.9	2	1.0%
7.0	2	1.0%
5.6	2	1.0%
6.2	1	0.5%
2.6	1	0.5%
10.3	1	0.5%
9.7	1	0.5%
Other values (52)	52	26.5%
(Missing)	128	65.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.0	2	1.0%
1.7	1	0.5%
1.9	1	0.5%
2.1	1	0.5%
2.2	1	0.5%
2.3	1	0.5%
2.5	1	0.5%
2.6	1	0.5%
3.1	1	0.5%
3.2	1	0.5%

Value	Count	Frequency (%)
49.8	1	0.5%
32.6	1	0.5%
29.4	1	0.5%
21.0	1	0.5%
20.9	1	0.5%
18.9	1	0.5%
13.0	1	0.5%
12.2	1	0.5%
11.8	1	0.5%
11.7	1	0.5%

실업률 설명
Categorical

HIGH CORRELATION IMBALANCE

Distinct	27
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

<NA>	132
(2022, IMF)	16
(2021, WB)	9
(2022)	9
(2021, IMF)	4
Other values (22)	26

Length

Max length	19
Median length	4
Mean length	6.1683673
Min length	3

Unique

Unique	19 ?
Unique (%)	9.7%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	132	67.3%
(2022, IMF)	16	8.2%
(2021, WB)	9	4.6%
(2022)	9	4.6%
(2021, IMF)	4	2.0%
(2022, IMF 추정치)	3	1.5%
(2021)	2	1.0%
(2022, EIU)	2	1.0%
('23, IMF)	1	0.5%
(2020, IMF/EIU)	1	0.5%
Other values (17)	17	8.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	132	51.8%
2022	33	12.9%
imf	27	10.6%
2021	16	6.3%
wb	10	3.9%
추정치	5	2.0%
2020	4	1.6%
eiu	3	1.2%
21	2	0.8%
통계청	2	0.8%
Other values (21)	21	8.2%

화폐단위
Text

MISSING

Distinct	119
Distinct (%)	96.0%
Missing	72
Missing (%)	36.7%
Memory size	1.7 KiB

Length

Max length	57
Median length	39
Mean length	27.959677
Min length	1

Characters and Unicode

Total characters	3467
Distinct characters	201
Distinct categories	13 ?
Distinct scripts	4 ?
Distinct blocks	7 ?

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

Unique

Unique	116 ?
Unique (%)	93.5%

Sample

1st row	Ghanaian Cedi ※ US $1 = 6.0 GH₵ ('21)
2nd row	CFA Franc (중앙아프리카 세파프랑) 1euro = XAF655.957 (고정환율)
3rd row	Dallasi/ US$1=51.10GMD('21.6)
4th row	Eastern Caribbean Dollar(US$1=EC$2.7, 고정환율)
5th row	유로

Value	Count	Frequency (%)
	53	10.6%
cfa	16	3.2%
기준	14	2.8%
us	10	2.0%
1	10	2.0%
franc	9	1.8%
평균	9	1.8%
eiu	8	1.6%
고정환율	7	1.4%
세계은행	5	1.0%
Other values (320)	359	71.8%

Most occurring characters

Value	Count	Frequency (%)
	379	10.9%
1	174	5.0%
(	150	4.3%
)	149	4.3%
2	126	3.6%
.	118	3.4%
a	116	3.3%
S	88	2.5%
n	87	2.5%
=	81	2.3%
Other values (191)	1999	57.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	666	19.2%
Decimal Number	643	18.5%
Uppercase Letter	576	16.6%
Other Letter	463	13.4%
Space Separator	379	10.9%
Other Punctuation	258	7.4%
Open Punctuation	150	4.3%
Close Punctuation	149	4.3%
Math Symbol	86	2.5%
Currency Symbol	79	2.3%
Other values (3)	18	0.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	22	4.8%
유	19	4.1%
월	19	4.1%
정	18	3.9%
환	18	3.9%
율	18	3.9%
고	17	3.7%
달	16	3.5%
러	16	3.5%
기	15	3.2%
Other values (106)	285	61.6%

Lowercase Letter

Value	Count	Frequency (%)
a	116	17.4%
n	87	13.1%
i	74	11.1%
r	64	9.6%
e	53	8.0%
o	42	6.3%
l	36	5.4%
c	27	4.1%
u	26	3.9%
h	19	2.9%
Other values (16)	122	18.3%

Uppercase Letter

Value	Count	Frequency (%)
S	88	15.3%
U	67	11.6%
F	55	9.5%
D	47	8.2%
A	40	6.9%
R	38	6.6%
C	33	5.7%
L	26	4.5%
E	25	4.3%
I	22	3.8%
Other values (16)	135	23.4%

Decimal Number

Value	Count	Frequency (%)
1	174	27.1%
2	126	19.6%
3	66	10.3%
0	59	9.2%
5	51	7.9%
6	45	7.0%
9	35	5.4%
4	31	4.8%
7	30	4.7%
8	26	4.0%

Other Punctuation

Value	Count	Frequency (%)
.	118	45.7%
,	68	26.4%
'	31	12.0%
/	27	10.5%
:	4	1.6%
※	4	1.6%
;	3	1.2%
*	2	0.8%
·	1	0.4%

Currency Symbol

Value	Count	Frequency (%)
$	63	79.7%
€	7	8.9%
＄	4	5.1%
￡	4	5.1%
₵	1	1.3%

Math Symbol

Value	Count	Frequency (%)
=	81	94.2%
≒	4	4.7%
＝	1	1.2%

Space Separator

Value	Count	Frequency (%)
	379	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	150	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	149	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	14	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	3	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1762	50.8%
Latin	1242	35.8%
Hangul	460	13.3%
Han	3	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	22	4.8%
유	19	4.1%
월	19	4.1%
정	18	3.9%
환	18	3.9%
율	18	3.9%
고	17	3.7%
달	16	3.5%
러	16	3.5%
기	15	3.3%
Other values (104)	282	61.3%

Latin

Value	Count	Frequency (%)
a	116	9.3%
S	88	7.1%
n	87	7.0%
i	74	6.0%
U	67	5.4%
r	64	5.2%
F	55	4.4%
e	53	4.3%
D	47	3.8%
o	42	3.4%
Other values (42)	549	44.2%

Common

Value	Count	Frequency (%)
	379	21.5%
1	174	9.9%
(	150	8.5%
)	149	8.5%
2	126	7.2%
.	118	6.7%
=	81	4.6%
,	68	3.9%
3	66	3.7%
$	63	3.6%
Other values (23)	388	22.0%

Han

Value	Count	Frequency (%)
元	2	66.7%
円	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2960	85.4%
Hangul	460	13.3%
Punctuation	21	0.6%
None	11	0.3%
Currency Symbols	8	0.2%
Math Operators	4	0.1%
CJK	3	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	379	12.8%
1	174	5.9%
(	150	5.1%
)	149	5.0%
2	126	4.3%
.	118	4.0%
a	116	3.9%
S	88	3.0%
n	87	2.9%
=	81	2.7%
Other values (64)	1492	50.4%

Hangul

Value	Count	Frequency (%)
로	22	4.8%
유	19	4.1%
월	19	4.1%
정	18	3.9%
환	18	3.9%
율	18	3.9%
고	17	3.7%
달	16	3.5%
러	16	3.5%
기	15	3.3%
Other values (104)	282	61.3%

Punctuation

Value	Count	Frequency (%)
‘	14	66.7%
※	4	19.0%
’	3	14.3%

Currency Symbols

Value	Count	Frequency (%)
€	7	87.5%
₵	1	12.5%

None

Value	Count	Frequency (%)
＄	4	36.4%
￡	4	36.4%
·	1	9.1%
＝	1	9.1%
ł	1	9.1%

Math Operators

Value	Count	Frequency (%)
≒	4	100.0%

CJK

Value	Count	Frequency (%)
元	2	66.7%
円	1	33.3%

주요자원
Text

MISSING

Distinct	48
Distinct (%)	100.0%
Missing	148
Missing (%)	75.5%
Memory size	1.7 KiB

Length

Max length	165
Median length	69.5
Mean length	50.625
Min length	11

Characters and Unicode

Total characters	2430
Distinct characters	245
Distinct categories	13 ?
Distinct scripts	3 ?
Distinct blocks	5 ?

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

Unique

Unique	48 ?
Unique (%)	100.0%

Sample

1st row	설탕, 금, 알루미늄, 쌀, 새우, 당밀, 술, 목재, 보크사이트, 다이아몬드
2nd row	보크사이트(전 세계 매장량 1/2), 다이아몬드(추정매장량 3억만 캐럿), 철광석, 금, 은 등 ※광물이 기니 전체 수출의 90% 이상 차지
3rd row	인산염 매장 관측(기타 자원 별무)
4th row	원유, 가스('19) 석유매장량 : 370억 배럴(일산 120만 배럴, '21년) 가스매장량: 208조 입방미터
5th row	우라늄(세계8위), 금, 석유, 주석, 석탄 등

Value	Count	Frequency (%)
	59	11.2%
등	22	4.2%
금	11	2.1%
원유	10	1.9%
bp	9	1.7%
철광석	9	1.7%
석탄	9	1.7%
천연가스	9	1.7%
구리	9	1.7%
배럴	6	1.1%
Other values (273)	373	70.9%

Most occurring characters

Value	Count	Frequency (%)
	486	20.0%
,	189	7.8%
(	72	3.0%
)	72	3.0%
1	61	2.5%
2	54	2.2%
석	45	1.9%
유	44	1.8%
위	36	1.5%
0	36	1.5%
Other values (235)	1335	54.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1083	44.6%
Space Separator	486	20.0%
Other Punctuation	288	11.9%
Decimal Number	255	10.5%
Uppercase Letter	83	3.4%
Open Punctuation	72	3.0%
Close Punctuation	72	3.0%
Lowercase Letter	40	1.6%
Dash Punctuation	30	1.2%
Other Symbol	13	0.5%
Other values (3)	8	0.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
석	45	4.2%
유	44	4.1%
위	36	3.3%
원	31	2.9%
가	28	2.6%
스	27	2.5%
세	25	2.3%
억	24	2.2%
장	24	2.2%
매	24	2.2%
Other values (173)	775	71.6%

Uppercase Letter

Value	Count	Frequency (%)
B	14	16.9%
P	14	16.9%
U	10	12.0%
I	9	10.8%
S	8	9.6%
E	7	8.4%
A	6	7.2%
G	3	3.6%
K	2	2.4%
T	2	2.4%
Other values (7)	8	9.6%

Lowercase Letter

Value	Count	Frequency (%)
n	6	15.0%
a	4	10.0%
t	4	10.0%
i	4	10.0%
m	4	10.0%
r	3	7.5%
o	3	7.5%
e	2	5.0%
s	2	5.0%
v	1	2.5%
Other values (7)	7	17.5%

Decimal Number

Value	Count	Frequency (%)
1	61	23.9%
2	54	21.2%
0	36	14.1%
8	18	7.1%
3	16	6.3%
4	16	6.3%
5	16	6.3%
7	14	5.5%
6	13	5.1%
9	11	4.3%

Other Punctuation

Value	Count	Frequency (%)
,	189	65.6%
:	34	11.8%
.	26	9.0%
'	13	4.5%
%	12	4.2%
*	6	2.1%
/	5	1.7%
·	2	0.7%
※	1	0.3%

Other Symbol

Value	Count	Frequency (%)
㎥	12	92.3%
㎦	1	7.7%

Space Separator

Value	Count	Frequency (%)
	486	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	72	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	72	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	30	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	5	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Other Number

Value	Count	Frequency (%)
³	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1224	50.4%
Hangul	1083	44.6%
Latin	123	5.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
석	45	4.2%
유	44	4.1%
위	36	3.3%
원	31	2.9%
가	28	2.6%
스	27	2.5%
세	25	2.3%
억	24	2.2%
장	24	2.2%
매	24	2.2%
Other values (173)	775	71.6%

Latin

Value	Count	Frequency (%)
B	14	11.4%
P	14	11.4%
U	10	8.1%
I	9	7.3%
S	8	6.5%
E	7	5.7%
n	6	4.9%
A	6	4.9%
a	4	3.3%
t	4	3.3%
Other values (24)	41	33.3%

Common

Value	Count	Frequency (%)
	486	39.7%
,	189	15.4%
(	72	5.9%
)	72	5.9%
1	61	5.0%
2	54	4.4%
0	36	2.9%
:	34	2.8%
-	30	2.5%
.	26	2.1%
Other values (18)	164	13.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1323	54.4%
Hangul	1083	44.6%
CJK Compat	13	0.5%
Punctuation	8	0.3%
None	3	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	486	36.7%
,	189	14.3%
(	72	5.4%
)	72	5.4%
1	61	4.6%
2	54	4.1%
0	36	2.7%
:	34	2.6%
-	30	2.3%
.	26	2.0%
Other values (45)	263	19.9%

Hangul

Value	Count	Frequency (%)
석	45	4.2%
유	44	4.1%
위	36	3.3%
원	31	2.9%
가	28	2.6%
스	27	2.5%
세	25	2.3%
억	24	2.2%
장	24	2.2%
매	24	2.2%
Other values (173)	775	71.6%

CJK Compat

Value	Count	Frequency (%)
㎥	12	92.3%
㎦	1	7.7%

Punctuation

Value	Count	Frequency (%)
‘	5	62.5%
’	2	25.0%
※	1	12.5%

None

Value	Count	Frequency (%)
·	2	66.7%
³	1	33.3%

주요산업
Text

MISSING

Distinct	42
Distinct (%)	100.0%
Missing	154
Missing (%)	78.6%
Memory size	1.7 KiB

Length

Max length	115
Median length	32
Mean length	30.380952
Min length	6

Characters and Unicode

Total characters	1276
Distinct characters	170
Distinct categories	8 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

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

Unique

Unique	42 ?
Unique (%)	100.0%

Sample

1st row	서비스업 51.9%, 제조업 26.7%, 농업 21.3%('21)
2nd row	서비스 80%, 제조업 16%, 농업 4%
3rd row	- 산업구조 : 농업 4.8%, 제조업 24.8% 서비스업 70.4% - 대표산업 : 목재가공업, 식품가공업, 광업, 전자제품제조업
4th row	농업 3%, 제조업 28%, 서비스업 69%
5th row	바닐라(세계 제1 생산국), 커피, 설탕, 크롬

Value	Count	Frequency (%)
	19	7.0%
농업	12	4.4%
등	9	3.3%
제조업	8	2.9%
관광업	7	2.6%
서비스업	7	2.6%
및	6	2.2%
관광	4	1.5%
산업구조	4	1.5%
3차	3	1.1%
Other values (170)	193	71.0%

Most occurring characters

Value	Count	Frequency (%)
	232	18.2%
업	95	7.4%
,	92	7.2%
%	52	4.1%
)	34	2.7%
(	34	2.7%
.	29	2.3%
제	24	1.9%
산	24	1.9%
2	23	1.8%
Other values (160)	637	49.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	631	49.5%
Space Separator	232	18.2%
Other Punctuation	186	14.6%
Decimal Number	140	11.0%
Close Punctuation	34	2.7%
Open Punctuation	34	2.7%
Dash Punctuation	11	0.9%
Uppercase Letter	8	0.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
업	95	15.1%
제	24	3.8%
산	24	3.8%
농	23	3.6%
조	21	3.3%
광	20	3.2%
비	16	2.5%
스	16	2.5%
서	15	2.4%
관	14	2.2%
Other values (133)	363	57.5%

Decimal Number

Value	Count	Frequency (%)
2	23	16.4%
1	21	15.0%
3	18	12.9%
5	14	10.0%
6	12	8.6%
4	12	8.6%
9	11	7.9%
0	10	7.1%
8	10	7.1%
7	9	6.4%

Other Punctuation

Value	Count	Frequency (%)
,	92	49.5%
%	52	28.0%
.	29	15.6%
:	6	3.2%
·	2	1.1%
※	2	1.1%
/	2	1.1%
'	1	0.5%

Uppercase Letter

Value	Count	Frequency (%)
G	2	25.0%
D	2	25.0%
P	2	25.0%
T	1	12.5%
I	1	12.5%

Space Separator

Value	Count	Frequency (%)
	232	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	34	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	34	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	637	49.9%
Hangul	631	49.5%
Latin	8	0.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
업	95	15.1%
제	24	3.8%
산	24	3.8%
농	23	3.6%
조	21	3.3%
광	20	3.2%
비	16	2.5%
스	16	2.5%
서	15	2.4%
관	14	2.2%
Other values (133)	363	57.5%

Common

Value	Count	Frequency (%)
	232	36.4%
,	92	14.4%
%	52	8.2%
)	34	5.3%
(	34	5.3%
.	29	4.6%
2	23	3.6%
1	21	3.3%
3	18	2.8%
5	14	2.2%
Other values (12)	88	13.8%

Latin

Value	Count	Frequency (%)
G	2	25.0%
D	2	25.0%
P	2	25.0%
T	1	12.5%
I	1	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	641	50.2%
Hangul	631	49.5%
None	2	0.2%
Punctuation	2	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	232	36.2%
,	92	14.4%
%	52	8.1%
)	34	5.3%
(	34	5.3%
.	29	4.5%
2	23	3.6%
1	21	3.3%
3	18	2.8%
5	14	2.2%
Other values (15)	92	14.4%

Hangul

Value	Count	Frequency (%)
업	95	15.1%
제	24	3.8%
산	24	3.8%
농	23	3.6%
조	21	3.3%
광	20	3.2%
비	16	2.5%
스	16	2.5%
서	15	2.4%
관	14	2.2%
Other values (133)	363	57.5%

None

Value	Count	Frequency (%)
·	2	100.0%

Punctuation

Value	Count	Frequency (%)
※	2	100.0%

수출액
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	185
Distinct (%)	96.9%
Missing	5
Missing (%)	2.6%
Infinite	0
Infinite (%)	0.0%
Mean	9.8081101 × 10¹⁰

Minimum	975
Maximum	2.0856 × 10¹²
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 KiB

Quantile statistics

Minimum	975
5-th percentile	27000000
Q1	1.2 × 10⁹
median	7.58 × 10⁹
Q3	6.226 × 10¹⁰
95-th percentile	4.9775 × 10¹¹
Maximum	2.0856 × 10¹²
Range	2.0856 × 10¹²
Interquartile range (IQR)	6.106 × 10¹⁰

Descriptive statistics

Standard deviation	2.4351837 × 10¹¹
Coefficient of variation (CV)	2.4828266
Kurtosis	31.225507
Mean	9.8081101 × 10¹⁰
Median Absolute Deviation (MAD)	7.509 × 10⁹
Skewness	4.8696126
Sum	1.873349 × 10¹³
Variance	5.9301195 × 10²²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29000000	2	1.0%
7580000000	2	1.0%
4300000000	2	1.0%
29000000000	2	1.0%
3200000000	2	1.0%
3880000000	2	1.0%
292300000000	1	0.5%
14100000000	1	0.5%
63130000000	1	0.5%
80600000000	1	0.5%
Other values (175)	175	89.3%
(Missing)	5	2.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
975	1	0.5%
330000	1	0.5%
800000	1	0.5%
2000000	1	0.5%
9000000	1	0.5%
16000000	1	0.5%
18000000	1	0.5%
21000000	1	0.5%
22000000	1	0.5%
26000000	1	0.5%

Value	Count	Frequency (%)
2085600000000	1	0.5%
1630000000000	1	0.5%
919700000000	1	0.5%
751500000000	1	0.5%
610300000000	1	0.5%
585000000000	1	0.5%
578200000000	1	0.5%
545300000000	1	0.5%
533670000000	1	0.5%
516000000000	1	0.5%

수입액
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	190
Distinct (%)	99.5%
Missing	5
Missing (%)	2.6%
Infinite	0
Infinite (%)	0.0%
Mean	1.029523 × 10¹¹

Minimum	1044
Maximum	3.2773 × 10¹²
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 KiB

Quantile statistics

Minimum	1044
5-th percentile	2.38 × 10⁸
Q1	2.415 × 10⁹
median	9.791 × 10⁹
Q3	6.135 × 10¹⁰
95-th percentile	4.846 × 10¹¹
Maximum	3.2773 × 10¹²
Range	3.2773 × 10¹²
Interquartile range (IQR)	5.8935 × 10¹⁰

Descriptive statistics

Standard deviation	2.9922528 × 10¹¹
Coefficient of variation (CV)	2.9064458
Kurtosis	69.244187
Mean	1.029523 × 10¹¹
Median Absolute Deviation (MAD)	9.229 × 10⁹
Skewness	7.2752369
Sum	1.9663889 × 10¹³
Variance	8.9535765 × 10²²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6900000000	2	1.0%
550600000000	1	0.5%
13490000000	1	0.5%
19300000000	1	0.5%
10240000000	1	0.5%
1090000000	1	0.5%
23000000000	1	0.5%
69690000000	1	0.5%
41000000000	1	0.5%
107742000000	1	0.5%
Other values (180)	180	91.8%
(Missing)	5	2.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1044	1	0.5%
14000000	1	0.5%
34000000	1	0.5%
78000000	1	0.5%
136000000	1	0.5%
156000000	1	0.5%
166000000	1	0.5%
176000000	1	0.5%
180000000	1	0.5%
200000000	1	0.5%

Value	Count	Frequency (%)
3277300000000	1	0.5%
1510000000000	1	0.5%
902600000000	1	0.5%
855100000000	1	0.5%
714300000000	1	0.5%
664600000000	1	0.5%
640800000000	1	0.5%
550600000000	1	0.5%
510200000000	1	0.5%
493400000000	1	0.5%

Phik (φk)
Auto

Heatmap
Table

	국내총생산(GDP)	국내총생산(GDP) 설명	1인당 총생산(GDP)	1인당 총생산(GDP) 설명	경제성장률	경제성장률 설명	물가상승률	물가상승률 설명	실업률	실업률 설명	주요자원	주요산업	수출액	수입액
국내총생산(GDP)	1.000	0.969	0.349	0.969	0.000	0.994	0.000	1.000	0.000	0.000	NaN	1.000	0.866	0.866
국내총생산(GDP) 설명	0.969	1.000	0.000	1.000	0.803	0.998	1.000	0.997	0.870	0.996	1.000	1.000	0.799	0.736
1인당 총생산(GDP)	0.349	0.000	1.000	0.000	0.239	0.000	0.000	0.433	0.000	0.000	1.000	1.000	0.438	0.461
1인당 총생산(GDP) 설명	0.969	1.000	0.000	1.000	0.782	0.999	1.000	0.997	0.864	0.989	1.000	1.000	0.836	0.758
경제성장률	0.000	0.803	0.239	0.782	1.000	0.759	1.000	0.000	0.654	0.580	1.000	1.000	0.000	0.000
경제성장률 설명	0.994	0.998	0.000	0.999	0.759	1.000	1.000	0.999	0.864	0.998	1.000	1.000	0.868	0.894
물가상승률	0.000	1.000	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	NaN	NaN	0.000	0.000
물가상승률 설명	1.000	0.997	0.433	0.997	0.000	0.999	1.000	1.000	0.279	0.996	1.000	1.000	0.823	0.953
실업률	0.000	0.870	0.000	0.864	0.654	0.864	1.000	0.279	1.000	0.851	1.000	1.000	0.000	0.000
실업률 설명	0.000	0.996	0.000	0.989	0.580	0.998	1.000	0.996	0.851	1.000	1.000	1.000	0.852	0.383
주요자원	NaN	1.000	1.000	1.000	1.000	1.000	NaN	1.000	1.000	1.000	1.000	1.000	1.000	1.000
주요산업	1.000	1.000	1.000	1.000	1.000	1.000	NaN	1.000	1.000	1.000	1.000	1.000	1.000	1.000
수출액	0.866	0.799	0.438	0.836	0.000	0.868	0.000	0.823	0.000	0.852	1.000	1.000	1.000	0.920
수입액	0.866	0.736	0.461	0.758	0.000	0.894	0.000	0.953	0.000	0.383	1.000	1.000	0.920	1.000

Heatmap
Table

	국내총생산(GDP)	1인당 총생산(GDP)	경제성장률	물가상승률	실업률	수출액	수입액	실업률 설명
국내총생산(GDP)	1.000	0.399	-0.043	-0.009	-0.230	0.892	0.903	0.000
1인당 총생산(GDP)	0.399	1.000	0.072	-0.262	-0.298	0.450	0.419	0.000
경제성장률	-0.043	0.072	1.000	-0.154	0.370	-0.036	0.037	0.195
물가상승률	-0.009	-0.262	-0.154	1.000	0.198	-0.056	-0.019	0.745
실업률	-0.230	-0.298	0.370	0.198	1.000	-0.331	-0.290	0.450
수출액	0.892	0.450	-0.036	-0.056	-0.331	1.000	0.960	0.473
수입액	0.903	0.419	0.037	-0.019	-0.290	0.960	1.000	0.153
실업률 설명	0.000	0.000	0.195	0.745	0.450	0.473	0.153	1.000

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.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	한글 국가명	영문 국가명	국가코드(ISO 2자리)	국내총생산(GDP)	국내총생산(GDP) 설명	1인당 총생산(GDP)	1인당 총생산(GDP) 설명	경제성장률	경제성장률 설명	물가상승률	물가상승률 설명	실업률	실업률 설명	화폐단위	주요자원	주요산업	수출액	수입액
0	가나	Ghana	GH	75490000000	('21 IMF)	2410	('21 IMF)	4.7	('21, IMF)	<NA>	<NA>	<NA>	<NA>	Ghanaian Cedi ※ US $1 = 6.0 GH₵ ('21)	<NA>	서비스업 51.9%, 제조업 26.7%, 농업 21.3%('21)	15300000000	13000000000
1	가봉	Gabon	GA	20200000000	('21 World Bank)	8635	('21 World Bank)	1.5	('21, World Bank)	<NA>	<NA>	<NA>	<NA>	CFA Franc (중앙아프리카 세파프랑) 1euro = XAF655.957 (고정환율)	<NA>	<NA>	11200000000	3400000000
2	가이아나	Guyana	GY	4300000000	<NA>	5468	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	설탕, 금, 알루미늄, 쌀, 새우, 당밀, 술, 목재, 보크사이트, 다이아몬드	<NA>	2145000000	3596000000
3	감비아	Gambia	GM	2270000000	('22 World Bank)	840	('22 World Bank)	4.9	('22, World Bank)	<NA>	<NA>	<NA>	<NA>	Dallasi/ US$1=51.10GMD('21.6)	<NA>	<NA>	29000000	78000000
4	과테말라	Guatemala	GT	93600000000	(2022, IMF)	5004	(2022, IMF)	4.0	<NA>	6.8	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	15700000000	32100000000
5	그레나다	Grenada	GD	1190000000	(2022, IMF)	10488	(2022, IMF)	6.0	<NA>	2.7	<NA>	21.0	<NA>	Eastern Caribbean Dollar(US$1=EC$2.7, 고정환율)	<NA>	<NA>	18000000	598000000
6	그리스	Greece	GR	219200000000	(2021)	20615	(2021)	5.9	(2021)	9.6	<NA>	12.2	<NA>	유로	<NA>	서비스 80%, 제조업 16%, 농업 4%	35100000000	55500000000
7	기니	Guinea	GN	21200000000	('22 World Bank)	1532	('22 World Bank)	4.9	('22, World Bank)	<NA>	<NA>	<NA>	<NA>	Guinea Franc/US$1=9815.99GF('21.6)	보크사이트(전 세계 매장량 1/2), 다이아몬드(추정매장량 3억만 캐럿), 철광석, 금, 은 등 ※광물이 기니 전체 수출의 90% 이상 차지	<NA>	3846000000	3846000000
8	기니비사우	Guinea-Bissau	GW	1700000000	('22 IMF)	898	('22 IMF)	3.5	('22, IMF)	<NA>	<NA>	<NA>	<NA>	CFA Franc/1€ = CFA 611.38('23.2월)	인산염 매장 관측(기타 자원 별무)	<NA>	205000000	329000000
9	나미비아	Namibia	<NA>	10700000000	(‘21, IMF)	4276	(‘21, IMF)	-8.0	(‘21, IMF)	<NA>	<NA>	<NA>	<NA>	Namibian Dollar ($1 = N$14.67,‘22.4)	<NA>	<NA>	3200000000	4500000000

	한글 국가명	영문 국가명	국가코드(ISO 2자리)	국내총생산(GDP)	국내총생산(GDP) 설명	1인당 총생산(GDP)	1인당 총생산(GDP) 설명	경제성장률	경제성장률 설명	물가상승률	물가상승률 설명	실업률	실업률 설명	화폐단위	주요자원	주요산업	수출액	수입액
186	페루	Peru	PE	242400000000	(2022, IMF)	7090	(2022, IMF)	2.7	(2022, IMF)	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	63200000000	60300000000
187	포르투갈	Portugal	PT	211800000000	(2021, EUROSTAT)	20530	(2021, EUROSTAT)	4.9	(2021, INE)	0.0	0	6.6	(2021, INE)	<NA>	<NA>	<NA>	75100000000	97500000000
188	폴란드	Poland	PL	688300000000	(2022. IMF)	18280	(2022. IMF)	4.9	(2022. IMF)	14.4	(2022. IMF)	<NA>	<NA>	즈워티(Złoty, PLN)	<NA>	서비스업(55.6%), 제조업(41.1%), 농업(3.3%)	432440000000	419630000000
189	프랑스	France	FR	2935500000000	(2021, IMF)	44852	(2021, IMF)	<NA>	<NA>	<NA>	<NA>	7.85	(2021, IMF)	<NA>	<NA>	<NA>	585000000000	714300000000
190	피지	Fiji	FJ	4600000000	(2021. UNCTAD Stat)	5086	(2021. UNCTAD Stat)	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	관광, 사탕수수(설탕)	815000000	2116000000
191	핀란드	Finland	FI	298800000000	(2021, IMF)	54008	(2021, IMF)	<NA>	<NA>	<NA>	<NA>	7.6	(2021, IMF)	유로(EURO)	<NA>	<NA>	81800000000	85700000000
192	필리핀	Philippines	PH	404300000000	(2022, IMF)	3623	(2022, IMF)	7.6	(2022, IMF)	5.8	(2022, IMF)	5.4	(2022, IMF)	페소(1달러 = 54.5 페소, 2022년 평균, 세계은행)	<NA>	<NA>	81000000000	142700000000
193	헝가리	Hungary	HU	195600000000	(2022)	18980	(2022)	4.6	(2022)	<NA>	<NA>	3.6	(2022)	Forint(1불=339Ft, 2023.5월)	<NA>	<NA>	149600000000	158400000000
194	호주	Australia	AU	1007900000000	(2022, IMF)	66410	(2022, IMF)	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	1차산업(농업, 광업) 및 3차 산업(금융, 서비스) 비중이 큰 전형적인 선진국형 산업구조 - 제조업 취약	533670000000	373550000000
195	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>

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

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Initial Punctuation

Final Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Punctuation

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Initial Punctuation

Final Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block