Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 239 |
| Missing cells | 136 |
| Missing cells (%) | 3.6% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 22.5 KiB |
| Average record size in memory | 96.3 B |
Variable types
| NUM | 8 |
|---|---|
| CAT | 8 |
Reproduction
| Analysis started | 2020-08-09 17:56:43.982747 |
|---|---|
| Analysis finished | 2020-08-09 17:58:19.004885 |
| Duration | 1 minute and 35.02 seconds |
| Version | pandas-profiling v2.8.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
HeadOfState has a high cardinality: 178 distinct values | High cardinality |
Code2 has a high cardinality: 238 distinct values | High cardinality |
GNPOld is highly correlated with GNP | High correlation |
GNP is highly correlated with GNPOld | High correlation |
Region is highly correlated with Continent | High correlation |
Continent is highly correlated with Region | High correlation |
IndepYear has 47 (19.7%) missing values | Missing |
LifeExpectancy has 17 (7.1%) missing values | Missing |
GNPOld has 61 (25.5%) missing values | Missing |
HeadOfState has 3 (1.3%) missing values | Missing |
Capital has 7 (2.9%) missing values | Missing |
Code2 is uniformly distributed | Uniform |
Unnamed: 0 has unique values | Unique |
Code has unique values | Unique |
Name has unique values | Unique |
LocalName has unique values | Unique |
Population has 7 (2.9%) zeros | Zeros |
GNP has 24 (10.0%) zeros | Zeros |
| Distinct count | 239 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 119.0 |
|---|---|
| Minimum | 0 |
| Maximum | 238 |
| Zeros | 1 |
| Zeros (%) | 0.4% |
| Memory size | 1.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 11.9 |
| Q1 | 59.5 |
| median | 119 |
| Q3 | 178.5 |
| 95-th percentile | 226.1 |
| Maximum | 238 |
| Range | 238 |
| Interquartile range (IQR) | 119 |
Descriptive statistics
| Standard deviation | 69.13754407 |
|---|---|
| Coefficient of variation (CV) | 0.5809877653 |
| Kurtosis | -1.2 |
| Mean | 119 |
| Median Absolute Deviation (MAD) | 60 |
| Skewness | 0 |
| Sum | 28441 |
| Variance | 4780 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 238 | 1 | 0.4% | |
| 74 | 1 | 0.4% | |
| 86 | 1 | 0.4% | |
| 85 | 1 | 0.4% | |
| 84 | 1 | 0.4% | |
| 83 | 1 | 0.4% | |
| 82 | 1 | 0.4% | |
| 81 | 1 | 0.4% | |
| 80 | 1 | 0.4% | |
| 79 | 1 | 0.4% | |
| Other values (229) | 229 | 95.8% |
| Value | Count | Frequency (%) | |
| 0 | 1 | 0.4% | |
| 1 | 1 | 0.4% | |
| 2 | 1 | 0.4% | |
| 3 | 1 | 0.4% | |
| 4 | 1 | 0.4% |
| Value | Count | Frequency (%) | |
| 238 | 1 | 0.4% | |
| 237 | 1 | 0.4% | |
| 236 | 1 | 0.4% | |
| 235 | 1 | 0.4% | |
| 234 | 1 | 0.4% |
| Distinct count | 239 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 956.0 B |
| DZA | 1 |
|---|---|
| NGA | 1 |
| BFA | 1 |
| FJI | 1 |
| EGY | 1 |
| Other values (234) |
| Value | Count | Frequency (%) | |
| DZA | 1 | 0.4% | |
| NGA | 1 | 0.4% | |
| BFA | 1 | 0.4% | |
| FJI | 1 | 0.4% | |
| EGY | 1 | 0.4% | |
| ATF | 1 | 0.4% | |
| FSM | 1 | 0.4% | |
| ESH | 1 | 0.4% | |
| MLT | 1 | 0.4% | |
| MUS | 1 | 0.4% | |
| Other values (229) | 229 | 95.8% |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
| Distinct count | 239 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 956.0 B |
| Japan | 1 |
|---|---|
| Latvia | 1 |
| Spain | 1 |
| Italy | 1 |
| Yemen | 1 |
| Other values (234) |
| Value | Count | Frequency (%) | |
| Japan | 1 | 0.4% | |
| Latvia | 1 | 0.4% | |
| Spain | 1 | 0.4% | |
| Italy | 1 | 0.4% | |
| Yemen | 1 | 0.4% | |
| Rwanda | 1 | 0.4% | |
| Mali | 1 | 0.4% | |
| American Samoa | 1 | 0.4% | |
| Cameroon | 1 | 0.4% | |
| Tunisia | 1 | 0.4% | |
| Other values (229) | 229 | 95.8% |
Length
| Max length | 44 |
|---|---|
| Median length | 8 |
| Mean length | 10.10878661 |
| Min length | 4 |
| Distinct count | 7 |
|---|---|
| Unique (%) | 2.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 956.0 B |
| Africa | |
|---|---|
| Asia | |
| Europe | |
| North America | |
| Oceania | |
| Other values (2) |
| Value | Count | Frequency (%) | |
| Africa | 58 | 24.3% | |
| Asia | 51 | 21.3% | |
| Europe | 46 | 19.2% | |
| North America | 37 | 15.5% | |
| Oceania | 28 | 11.7% | |
| South America | 14 | 5.9% | |
| Antarctica | 5 | 2.1% |
Length
| Max length | 13 |
|---|---|
| Median length | 6 |
| Mean length | 7.267782427 |
| Min length | 4 |
| Distinct count | 25 |
|---|---|
| Unique (%) | 10.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 956.0 B |
| Caribbean | 24 |
|---|---|
| Eastern Africa | 20 |
| Middle East | 18 |
| Western Africa | 17 |
| Southern Europe | 15 |
| Other values (20) |
| Value | Count | Frequency (%) | |
| Caribbean | 24 | 10.0% | |
| Eastern Africa | 20 | 8.4% | |
| Middle East | 18 | 7.5% | |
| Western Africa | 17 | 7.1% | |
| Southern Europe | 15 | 6.3% | |
| South America | 14 | 5.9% | |
| Southern and Central Asia | 14 | 5.9% | |
| Southeast Asia | 11 | 4.6% | |
| Eastern Europe | 10 | 4.2% | |
| Polynesia | 10 | 4.2% | |
| Other values (15) | 86 | 36.0% |
Length
| Max length | 25 |
|---|---|
| Median length | 14 |
| Mean length | 13.74895397 |
| Min length | 9 |
SurfaceArea
Real number (ℝ≥0)
| Distinct count | 238 |
|---|---|
| Unique (%) | 99.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 623248.1460251047 |
|---|---|
| Minimum | 0.4 |
| Maximum | 17075400.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.9 KiB |
Quantile statistics
| Minimum | 0.4 |
|---|---|
| 5-th percentile | 58.4 |
| Q1 | 2275 |
| median | 71740 |
| Q3 | 398754.5 |
| 95-th percentile | 2348546.3 |
| Maximum | 17075400 |
| Range | 17075399.6 |
| Interquartile range (IQR) | 396479.5 |
Descriptive statistics
| Standard deviation | 1924139.852 |
|---|---|
| Coefficient of variation (CV) | 3.087277298 |
| Kurtosis | 36.00863933 |
| Mean | 623248.146 |
| Median Absolute Deviation (MAD) | 71504 |
| Skewness | 5.653142765 |
| Sum | 148956306.9 |
| Variance | 3.702314171e+12 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 430 | 2 | 0.8% | |
| 65301 | 1 | 0.4% | |
| 36188 | 1 | 0.4% | |
| 1759540 | 1 | 0.4% | |
| 112088 | 1 | 0.4% | |
| 83859 | 1 | 0.4% | |
| 181035 | 1 | 0.4% | |
| 78866 | 1 | 0.4% | |
| 36125 | 1 | 0.4% | |
| 236800 | 1 | 0.4% | |
| Other values (228) | 228 | 95.4% |
| Value | Count | Frequency (%) | |
| 0.4 | 1 | 0.4% | |
| 1.5 | 1 | 0.4% | |
| 6 | 1 | 0.4% | |
| 12 | 1 | 0.4% | |
| 14 | 1 | 0.4% |
| Value | Count | Frequency (%) | |
| 17075400 | 1 | 0.4% | |
| 13120000 | 1 | 0.4% | |
| 9970610 | 1 | 0.4% | |
| 9572900 | 1 | 0.4% | |
| 9363520 | 1 | 0.4% |
| Distinct count | 88 |
|---|---|
| Unique (%) | 45.8% |
| Missing | 47 |
| Missing (%) | 19.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1847.2604166666667 |
|---|---|
| Minimum | -1523.0 |
| Maximum | 1994.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.9 KiB |
Quantile statistics
| Minimum | -1523 |
|---|---|
| 5-th percentile | 1317.6 |
| Q1 | 1906.75 |
| median | 1960 |
| Q3 | 1974 |
| 95-th percentile | 1991 |
| Maximum | 1994 |
| Range | 3517 |
| Interquartile range (IQR) | 67.25 |
Descriptive statistics
| Standard deviation | 420.8313698 |
|---|---|
| Coefficient of variation (CV) | 0.2278137755 |
| Kurtosis | 38.16193468 |
| Mean | 1847.260417 |
| Median Absolute Deviation (MAD) | 21 |
| Skewness | -5.83593828 |
| Sum | 354674 |
| Variance | 177099.0418 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1960 | 18 | 7.5% | |
| 1991 | 18 | 7.5% | |
| 1962 | 7 | 2.9% | |
| 1975 | 7 | 2.9% | |
| 1918 | 5 | 2.1% | |
| 1948 | 5 | 2.1% | |
| 1968 | 4 | 1.7% | |
| 1966 | 4 | 1.7% | |
| 1971 | 4 | 1.7% | |
| 1965 | 3 | 1.3% | |
| Other values (78) | 117 | 49.0% | |
| (Missing) | 47 | 19.7% |
| Value | Count | Frequency (%) | |
| -1523 | 1 | 0.4% | |
| -1000 | 1 | 0.4% | |
| -660 | 1 | 0.4% | |
| 800 | 1 | 0.4% | |
| 836 | 1 | 0.4% |
| Value | Count | Frequency (%) | |
| 1994 | 1 | 0.4% | |
| 1993 | 3 | 1.3% | |
| 1992 | 1 | 0.4% | |
| 1991 | 18 | 7.5% | |
| 1990 | 3 | 1.3% |
| Distinct count | 226 |
|---|---|
| Unique (%) | 94.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25434098.11715481 |
|---|---|
| Minimum | 0 |
| Maximum | 1277558000 |
| Zeros | 7 |
| Zeros (%) | 2.9% |
| Memory size | 1.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2000 |
| Q1 | 238000 |
| median | 3869000 |
| Q3 | 14935500 |
| 95-th percentile | 80065270 |
| Maximum | 1277558000 |
| Range | 1277558000 |
| Interquartile range (IQR) | 14697500 |
Descriptive statistics
| Standard deviation | 109339817.2 |
|---|---|
| Coefficient of variation (CV) | 4.298946112 |
| Kurtosis | 100.0207841 |
| Mean | 25434098.12 |
| Median Absolute Deviation (MAD) | 3836700 |
| Skewness | 9.594584625 |
| Sum | 6078749450 |
| Variance | 1.195519563e+16 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0 | 7 | 2.9% | |
| 2000 | 4 | 1.7% | |
| 38000 | 2 | 0.8% | |
| 12000 | 2 | 0.8% | |
| 68000 | 2 | 0.8% | |
| 78000 | 2 | 0.8% | |
| 10545700 | 1 | 0.4% | |
| 578000 | 1 | 0.4% | |
| 817000 | 1 | 0.4% | |
| 3520000 | 1 | 0.4% | |
| Other values (216) | 216 | 90.4% |
| Value | Count | Frequency (%) | |
| 0 | 7 | 2.9% | |
| 50 | 1 | 0.4% | |
| 600 | 1 | 0.4% | |
| 1000 | 1 | 0.4% | |
| 2000 | 4 | 1.7% |
| Value | Count | Frequency (%) | |
| 1277558000 | 1 | 0.4% | |
| 1013662000 | 1 | 0.4% | |
| 278357000 | 1 | 0.4% | |
| 212107000 | 1 | 0.4% | |
| 170115000 | 1 | 0.4% |
| Distinct count | 160 |
|---|---|
| Unique (%) | 72.1% |
| Missing | 17 |
| Missing (%) | 7.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 66.48603603603604 |
|---|---|
| Minimum | 37.2 |
| Maximum | 83.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.9 KiB |
Quantile statistics
| Minimum | 37.2 |
|---|---|
| 5-th percentile | 44.06 |
| Q1 | 60.3 |
| median | 70.15 |
| Q3 | 75.5 |
| 95-th percentile | 79 |
| Maximum | 83.5 |
| Range | 46.3 |
| Interquartile range (IQR) | 15.2 |
Descriptive statistics
| Standard deviation | 11.5192671 |
|---|---|
| Coefficient of variation (CV) | 0.1732584432 |
| Kurtosis | -0.1918633213 |
| Mean | 66.48603604 |
| Median Absolute Deviation (MAD) | 6.65 |
| Skewness | -0.919827065 |
| Sum | 14759.9 |
| Variance | 132.6935145 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 78.8 | 4 | 1.7% | |
| 73.7 | 4 | 1.7% | |
| 71.4 | 4 | 1.7% | |
| 76.1 | 3 | 1.3% | |
| 68.6 | 3 | 1.3% | |
| 75.5 | 3 | 1.3% | |
| 50.8 | 3 | 1.3% | |
| 77.8 | 3 | 1.3% | |
| 64.5 | 3 | 1.3% | |
| 71.1 | 3 | 1.3% | |
| Other values (150) | 189 | 79.1% | |
| (Missing) | 17 | 7.1% |
| Value | Count | Frequency (%) | |
| 37.2 | 1 | 0.4% | |
| 37.5 | 1 | 0.4% | |
| 37.6 | 1 | 0.4% | |
| 37.8 | 1 | 0.4% | |
| 38.3 | 1 | 0.4% |
| Value | Count | Frequency (%) | |
| 83.5 | 1 | 0.4% | |
| 81.6 | 1 | 0.4% | |
| 81.1 | 1 | 0.4% | |
| 80.7 | 1 | 0.4% | |
| 80.1 | 1 | 0.4% |
| Distinct count | 214 |
|---|---|
| Unique (%) | 89.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 122823.88242677823 |
|---|---|
| Minimum | 0.0 |
| Maximum | 8510700.0 |
| Zeros | 24 |
| Zeros (%) | 10.0% |
| Memory size | 1.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 640 |
| median | 4787 |
| Q3 | 29944.5 |
| 95-th percentile | 375723 |
| Maximum | 8510700 |
| Range | 8510700 |
| Interquartile range (IQR) | 29304.5 |
Descriptive statistics
| Standard deviation | 637997.5788 |
|---|---|
| Coefficient of variation (CV) | 5.194409802 |
| Kurtosis | 131.0046786 |
| Mean | 122823.8824 |
| Median Absolute Deviation (MAD) | 4687 |
| Skewness | 10.66558055 |
| Sum | 29354907.9 |
| Variance | 4.070409105e+11 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0 | 24 | 10.0% | |
| 6 | 2 | 0.8% | |
| 612 | 2 | 0.8% | |
| 38158 | 1 | 0.4% | |
| 1197 | 1 | 0.4% | |
| 6232 | 1 | 0.4% | |
| 137635 | 1 | 0.4% | |
| 935 | 1 | 0.4% | |
| 27037 | 1 | 0.4% | |
| 195746 | 1 | 0.4% | |
| Other values (204) | 204 | 85.4% |
| Value | Count | Frequency (%) | |
| 0 | 24 | 10.0% | |
| 6 | 2 | 0.8% | |
| 9 | 1 | 0.4% | |
| 40.7 | 1 | 0.4% | |
| 60 | 1 | 0.4% |
| Value | Count | Frequency (%) | |
| 8510700 | 1 | 0.4% | |
| 3787042 | 1 | 0.4% | |
| 2133367 | 1 | 0.4% | |
| 1424285 | 1 | 0.4% | |
| 1378330 | 1 | 0.4% |
| Distinct count | 178 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 61 |
| Missing (%) | 25.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 165534.31460674157 |
|---|---|
| Minimum | 157.0 |
| Maximum | 8110900.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.9 KiB |
Quantile statistics
| Minimum | 157 |
|---|---|
| 5-th percentile | 414.45 |
| Q1 | 2187 |
| median | 8421 |
| Q3 | 71145.5 |
| 95-th percentile | 546070.25 |
| Maximum | 8110900 |
| Range | 8110743 |
| Interquartile range (IQR) | 68958.5 |
Descriptive statistics
| Standard deviation | 720468.9053 |
|---|---|
| Coefficient of variation (CV) | 4.352384018 |
| Kurtosis | 89.52368946 |
| Mean | 165534.3146 |
| Median Absolute Deviation (MAD) | 7696.5 |
| Skewness | 8.843636378 |
| Sum | 29465108 |
| Variance | 5.190754435e+11 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 8670 | 1 | 0.4% | |
| 1767 | 1 | 0.4% | |
| 7388 | 1 | 0.4% | |
| 5940 | 1 | 0.4% | |
| 8920 | 1 | 0.4% | |
| 75617 | 1 | 0.4% | |
| 6884 | 1 | 0.4% | |
| 2023 | 1 | 0.4% | |
| 2559 | 1 | 0.4% | |
| 2474 | 1 | 0.4% | |
| Other values (168) | 168 | 70.3% | |
| (Missing) | 61 | 25.5% |
| Value | Count | Frequency (%) | |
| 157 | 1 | 0.4% | |
| 170 | 1 | 0.4% | |
| 220 | 1 | 0.4% | |
| 243 | 1 | 0.4% | |
| 246 | 1 | 0.4% |
| Value | Count | Frequency (%) | |
| 8110900 | 1 | 0.4% | |
| 4192638 | 1 | 0.4% | |
| 2102826 | 1 | 0.4% | |
| 1392448 | 1 | 0.4% | |
| 1296830 | 1 | 0.4% |
| Distinct count | 239 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 956.0 B |
| Elláda | 1 |
|---|---|
| YisraÂ’el/IsraÂ’il | 1 |
| Réunion | 1 |
| British Indian Ocean Territory | 1 |
| Guyane française | 1 |
| Other values (234) |
| Value | Count | Frequency (%) | |
| Elláda | 1 | 0.4% | |
| YisraÂ’el/IsraÂ’il | 1 | 0.4% | |
| Réunion | 1 | 0.4% | |
| British Indian Ocean Territory | 1 | 0.4% | |
| Guyane française | 1 | 0.4% | |
| South Georgia and the South Sandwich Islands | 1 | 0.4% | |
| France | 1 | 0.4% | |
| Perú/Piruw | 1 | 0.4% | |
| Azärbaycan | 1 | 0.4% | |
| République Démocratique du Congo | 1 | 0.4% | |
| Other values (229) | 229 | 95.8% |
Length
| Max length | 44 |
|---|---|
| Median length | 10 |
| Mean length | 12.07112971 |
| Min length | 2 |
GovernmentForm
Categorical
| Distinct count | 35 |
|---|---|
| Unique (%) | 14.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 956.0 B |
| Republic | |
|---|---|
| Constitutional Monarchy | |
| Federal Republic | 15 |
| Dependent Territory of the UK | 12 |
| Monarchy | 5 |
| Other values (30) |
| Value | Count | Frequency (%) | |
| Republic | 122 | 51.0% | |
| Constitutional Monarchy | 29 | 12.1% | |
| Federal Republic | 15 | 6.3% | |
| Dependent Territory of the UK | 12 | 5.0% | |
| Monarchy | 5 | 2.1% | |
| Constitutional Monarchy, Federation | 4 | 1.7% | |
| Territory of Australia | 4 | 1.7% | |
| Overseas Department of France | 4 | 1.7% | |
| Nonmetropolitan Territory of France | 4 | 1.7% | |
| Nonmetropolitan Territory of New Zealand | 3 | 1.3% | |
| Other values (25) | 37 | 15.5% |
Length
| Max length | 44 |
|---|---|
| Median length | 8 |
| Mean length | 15.51882845 |
| Min length | 8 |
| Distinct count | 178 |
|---|---|
| Unique (%) | 75.4% |
| Missing | 3 |
| Missing (%) | 1.3% |
| Memory size | 956.0 B |
| Elisabeth II | 35 |
|---|---|
| Jacques Chirac | 11 |
| George W. Bush | 7 |
| Beatrix | 3 |
| Margrethe II | 3 |
| Other values (173) |
| Value | Count | Frequency (%) | |
| Elisabeth II | 35 | 14.6% | |
| Jacques Chirac | 11 | 4.6% | |
| George W. Bush | 7 | 2.9% | |
| Beatrix | 3 | 1.3% | |
| Margrethe II | 3 | 1.3% | |
| Harald V | 3 | 1.3% | |
| Jiang Zemin | 3 | 1.3% | |
| Francisco Guillermo Flores Pérez | 1 | 0.4% | |
| Sellapan Rama Nathan | 1 | 0.4% | |
| Rudolf Schuster | 1 | 0.4% | |
| Other values (168) | 168 | 70.3% | |
| (Missing) | 3 | 1.3% |
Length
| Max length | 36 |
|---|---|
| Median length | 14 |
| Mean length | 15.87029289 |
| Min length | 3 |
| Distinct count | 232 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 7 |
| Missing (%) | 2.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2071.3060344827586 |
|---|---|
| Minimum | 1.0 |
| Maximum | 4074.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 100.35 |
| Q1 | 915.75 |
| median | 2449.5 |
| Q3 | 3065.25 |
| 95-th percentile | 3510.65 |
| Maximum | 4074 |
| Range | 4073 |
| Interquartile range (IQR) | 2149.5 |
Descriptive statistics
| Standard deviation | 1184.095609 |
|---|---|
| Coefficient of variation (CV) | 0.5716661806 |
| Kurtosis | -1.246317919 |
| Mean | 2071.306034 |
| Median Absolute Deviation (MAD) | 812.5 |
| Skewness | -0.4059856067 |
| Sum | 480543 |
| Variance | 1402082.412 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 4067 | 1 | 0.4% | |
| 3349 | 1 | 0.4% | |
| 3236 | 1 | 0.4% | |
| 3161 | 1 | 0.4% | |
| 3068 | 1 | 0.4% | |
| 3018 | 1 | 0.4% | |
| 585 | 1 | 0.4% | |
| 2972 | 1 | 0.4% | |
| 2806 | 1 | 0.4% | |
| 917 | 1 | 0.4% | |
| Other values (222) | 222 | 92.9% | |
| (Missing) | 7 | 2.9% |
| Value | Count | Frequency (%) | |
| 1 | 1 | 0.4% | |
| 5 | 1 | 0.4% | |
| 33 | 1 | 0.4% | |
| 34 | 1 | 0.4% | |
| 35 | 1 | 0.4% |
| Value | Count | Frequency (%) | |
| 4074 | 1 | 0.4% | |
| 4068 | 1 | 0.4% | |
| 4067 | 1 | 0.4% | |
| 3813 | 1 | 0.4% | |
| 3791 | 1 | 0.4% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.First rows
| Unnamed: 0 | Code | Name | Continent | Region | SurfaceArea | IndepYear | Population | LifeExpectancy | GNP | GNPOld | LocalName | GovernmentForm | HeadOfState | Capital | Code2 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | ABW | Aruba | North America | Caribbean | 193.0 | NaN | 103000 | 78.4 | 828.0 | 793.0 | Aruba | Nonmetropolitan Territory of The Netherlands | Beatrix | 129.0 | AW |
| 1 | 1 | AFG | Afghanistan | Asia | Southern and Central Asia | 652090.0 | 1919.0 | 22720000 | 45.9 | 5976.0 | NaN | Afganistan/Afqanestan | Islamic Emirate | Mohammad Omar | 1.0 | AF |
| 2 | 2 | AGO | Angola | Africa | Central Africa | 1246700.0 | 1975.0 | 12878000 | 38.3 | 6648.0 | 7984.0 | Angola | Republic | José Eduardo dos Santos | 56.0 | AO |
| 3 | 3 | AIA | Anguilla | North America | Caribbean | 96.0 | NaN | 8000 | 76.1 | 63.2 | NaN | Anguilla | Dependent Territory of the UK | Elisabeth II | 62.0 | AI |
| 4 | 4 | ALB | Albania | Europe | Southern Europe | 28748.0 | 1912.0 | 3401200 | 71.6 | 3205.0 | 2500.0 | Shqipëria | Republic | Rexhep Mejdani | 34.0 | AL |
| 5 | 5 | AND | Andorra | Europe | Southern Europe | 468.0 | 1278.0 | 78000 | 83.5 | 1630.0 | NaN | Andorra | Parliamentary Coprincipality | NaN | 55.0 | AD |
| 6 | 6 | ANT | Netherlands Antilles | North America | Caribbean | 800.0 | NaN | 217000 | 74.7 | 1941.0 | NaN | Nederlandse Antillen | Nonmetropolitan Territory of The Netherlands | Beatrix | 33.0 | AN |
| 7 | 7 | ARE | United Arab Emirates | Asia | Middle East | 83600.0 | 1971.0 | 2441000 | 74.1 | 37966.0 | 36846.0 | Al-Imarat al-´Arabiya al-Muttahida | Emirate Federation | Zayid bin Sultan al-Nahayan | 65.0 | AE |
| 8 | 8 | ARG | Argentina | South America | South America | 2780400.0 | 1816.0 | 37032000 | 75.1 | 340238.0 | 323310.0 | Argentina | Federal Republic | Fernando de la Rúa | 69.0 | AR |
| 9 | 9 | ARM | Armenia | Asia | Middle East | 29800.0 | 1991.0 | 3520000 | 66.4 | 1813.0 | 1627.0 | Hajastan | Republic | Robert Kotšarjan | 126.0 | AM |
Last rows
| Unnamed: 0 | Code | Name | Continent | Region | SurfaceArea | IndepYear | Population | LifeExpectancy | GNP | GNPOld | LocalName | GovernmentForm | HeadOfState | Capital | Code2 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 229 | 229 | VIR | Virgin Islands, U.S. | North America | Caribbean | 347.0 | NaN | 93000 | 78.1 | 0.0 | NaN | Virgin Islands of the United States | US Territory | George W. Bush | 4067.0 | VI |
| 230 | 230 | VNM | Vietnam | Asia | Southeast Asia | 331689.0 | 1945.0 | 79832000 | 69.3 | 21929.0 | 22834.0 | Viêt Nam | Socialistic Republic | Trân Duc Luong | 3770.0 | VN |
| 231 | 231 | VUT | Vanuatu | Oceania | Melanesia | 12189.0 | 1980.0 | 190000 | 60.6 | 261.0 | 246.0 | Vanuatu | Republic | John Bani | 3537.0 | VU |
| 232 | 232 | WLF | Wallis and Futuna | Oceania | Polynesia | 200.0 | NaN | 15000 | NaN | 0.0 | NaN | Wallis-et-Futuna | Nonmetropolitan Territory of France | Jacques Chirac | 3536.0 | WF |
| 233 | 233 | WSM | Samoa | Oceania | Polynesia | 2831.0 | 1962.0 | 180000 | 69.2 | 141.0 | 157.0 | Samoa | Parlementary Monarchy | Malietoa Tanumafili II | 3169.0 | WS |
| 234 | 234 | YEM | Yemen | Asia | Middle East | 527968.0 | 1918.0 | 18112000 | 59.8 | 6041.0 | 5729.0 | Al-Yaman | Republic | Ali Abdallah Salih | 1780.0 | YE |
| 235 | 235 | YUG | Yugoslavia | Europe | Southern Europe | 102173.0 | 1918.0 | 10640000 | 72.4 | 17000.0 | NaN | Jugoslavija | Federal Republic | Vojislav Koštunica | 1792.0 | YU |
| 236 | 236 | ZAF | South Africa | Africa | Southern Africa | 1221037.0 | 1910.0 | 40377000 | 51.1 | 116729.0 | 129092.0 | South Africa | Republic | Thabo Mbeki | 716.0 | ZA |
| 237 | 237 | ZMB | Zambia | Africa | Eastern Africa | 752618.0 | 1964.0 | 9169000 | 37.2 | 3377.0 | 3922.0 | Zambia | Republic | Frederick Chiluba | 3162.0 | ZM |
| 238 | 238 | ZWE | Zimbabwe | Africa | Eastern Africa | 390757.0 | 1980.0 | 11669000 | 37.8 | 5951.0 | 8670.0 | Zimbabwe | Republic | Robert G. Mugabe | 4068.0 | ZW |