|
| 1 | +# Scatterplot Matrix: Weather in Tokyo |
| 2 | + |
| 3 | +## Data Source |
| 4 | + |
| 5 | +<a href='https://www.data.jma.go.jp/gmd/risk/obsdl/' target='_blank'>Japan Meteorological Agency</a> |
| 6 | + |
| 7 | +## Period: 2023/5/9~2023/6/9 |
| 8 | +<table> |
| 9 | +<tr> |
| 10 | +<th>\</th> |
| 11 | +<th>Mean Temperature(℃)</th> |
| 12 | +<th>Maximum Temperature(℃)</th> |
| 13 | +<th>Minimum Temperature(℃)</th> |
| 14 | +<th>Sunshine Hours(h)</th> |
| 15 | +<th>Precipitation Amount(mm)</th> |
| 16 | +<th>Mean Local Air Pressure(hPa)</th> |
| 17 | +</tr> |
| 18 | +<tr><td>Mean Temperature(℃)</td> |
| 19 | +<td>-</td> |
| 20 | +<td><a href="img/Matrix00.png"><img src="img/Matrix00.png" width="120"></a><br /> |
| 21 | +<details><summary>Properties</summary> |
| 22 | + |
| 23 | +- count: 32 |
| 24 | +- x: |
| 25 | + - Mean: 19.809375 |
| 26 | + - Max: 25.4 |
| 27 | + - Min: 13.9 |
| 28 | + - Variance: 6.748974609375 |
| 29 | + - StandardDeviation: 2.5978788673406 |
| 30 | +- y: |
| 31 | + - Mean: 24.7375 |
| 32 | + - Max: 32.2 |
| 33 | + - Min: 17.2 |
| 34 | + - Variance: 13.52796875 |
| 35 | + - StandardDeviation: 3.678038709693 |
| 36 | +- Covariance: 8.4012109375 |
| 37 | +- CorrelationCoefficient: 0.87923849923656 |
| 38 | +- RegressionLineFormula: |
| 39 | + - a: 1.2448129417808 |
| 40 | + - b: 0.078533631411009 |
| 41 | +</details></td> |
| 42 | +<td><a href="img/Matrix01.png"><img src="img/Matrix01.png" width="120"></a><br /> |
| 43 | +<details><summary>Properties</summary> |
| 44 | + |
| 45 | +- count: 32 |
| 46 | +- x: |
| 47 | + - Mean: 19.809375 |
| 48 | + - Max: 25.4 |
| 49 | + - Min: 13.9 |
| 50 | + - Variance: 6.748974609375 |
| 51 | + - StandardDeviation: 2.5978788673406 |
| 52 | +- y: |
| 53 | + - Mean: 15.596875 |
| 54 | + - Max: 19.7 |
| 55 | + - Min: 10.1 |
| 56 | + - Variance: 6.726552734375 |
| 57 | + - StandardDeviation: 2.5935598574884 |
| 58 | +- Covariance: 5.047841796875 |
| 59 | +- CorrelationCoefficient: 0.74918756880131 |
| 60 | +- RegressionLineFormula: |
| 61 | + - a: 0.74794203401848 |
| 62 | + - b: 0.7806107698652 |
| 63 | +</details></td> |
| 64 | +<td><a href="img/Matrix02.png"><img src="img/Matrix02.png" width="120"></a><br /> |
| 65 | +<details><summary>Properties</summary> |
| 66 | + |
| 67 | +- count: 32 |
| 68 | +- x: |
| 69 | + - Mean: 19.809375 |
| 70 | + - Max: 25.4 |
| 71 | + - Min: 13.9 |
| 72 | + - Variance: 6.748974609375 |
| 73 | + - StandardDeviation: 2.5978788673406 |
| 74 | +- y: |
| 75 | + - Mean: 5.653125 |
| 76 | + - Max: 13.3 |
| 77 | + - Min: 0 |
| 78 | + - Variance: 21.256240234375 |
| 79 | + - StandardDeviation: 4.6104490274132 |
| 80 | +- Covariance: 3.206064453125 |
| 81 | +- CorrelationCoefficient: 0.26767642720506 |
| 82 | +- RegressionLineFormula: |
| 83 | + - a: 0.47504467547877 |
| 84 | + - b: -3.7572131183122 |
| 85 | +</details></td> |
| 86 | +<td><a href="img/Matrix03.png"><img src="img/Matrix03.png" width="120"></a><br /> |
| 87 | +<details><summary>Properties</summary> |
| 88 | + |
| 89 | +- count: 32 |
| 90 | +- x: |
| 91 | + - Mean: 19.809375 |
| 92 | + - Max: 25.4 |
| 93 | + - Min: 13.9 |
| 94 | + - Variance: 6.748974609375 |
| 95 | + - StandardDeviation: 2.5978788673406 |
| 96 | +- y: |
| 97 | + - Mean: 11.828125 |
| 98 | + - Max: 168.5 |
| 99 | + - Min: 0 |
| 100 | + - Variance: 1067.1970214844 |
| 101 | + - StandardDeviation: 32.667981594895 |
| 102 | +- Covariance: 3.190673828125 |
| 103 | +- CorrelationCoefficient: 0.037595962749643 |
| 104 | +- RegressionLineFormula: |
| 105 | + - a: 0.47276423646532 |
| 106 | + - b: 2.4629609532698 |
| 107 | +</details></td> |
| 108 | +<td><a href="img/Matrix04.png"><img src="img/Matrix04.png" width="120"></a><br /> |
| 109 | +<details><summary>Properties</summary> |
| 110 | + |
| 111 | +- count: 32 |
| 112 | +- x: |
| 113 | + - Mean: 19.809375 |
| 114 | + - Max: 25.4 |
| 115 | + - Min: 13.9 |
| 116 | + - Variance: 6.748974609375 |
| 117 | + - StandardDeviation: 2.5978788673406 |
| 118 | +- y: |
| 119 | + - Mean: 1009.31875 |
| 120 | + - Max: 1021.3 |
| 121 | + - Min: 997 |
| 122 | + - Variance: 36.3283984375 |
| 123 | + - StandardDeviation: 6.0273044088962 |
| 124 | +- Covariance: -3.43767578125 |
| 125 | +- CorrelationCoefficient: -0.21954466663638 |
| 126 | +- RegressionLineFormula: |
| 127 | + - a: -0.50936267806886 |
| 128 | + - b: 1019.4089063009 |
| 129 | +</details></td> |
| 130 | +</tr> |
| 131 | +<tr><td>Maximum Temperature(℃)</td> |
| 132 | +<td>-</td> |
| 133 | +<td>-</td> |
| 134 | +<td><a href="img/Matrix05.png"><img src="img/Matrix05.png" width="120"></a><br /> |
| 135 | +<details><summary>Properties</summary> |
| 136 | + |
| 137 | +- count: 32 |
| 138 | +- x: |
| 139 | + - Mean: 24.7375 |
| 140 | + - Max: 32.2 |
| 141 | + - Min: 17.2 |
| 142 | + - Variance: 13.52796875 |
| 143 | + - StandardDeviation: 3.678038709693 |
| 144 | +- y: |
| 145 | + - Mean: 15.596875 |
| 146 | + - Max: 19.7 |
| 147 | + - Min: 10.1 |
| 148 | + - Variance: 6.726552734375 |
| 149 | + - StandardDeviation: 2.5935598574884 |
| 150 | +- Covariance: 3.6088671875 |
| 151 | +- CorrelationCoefficient: 0.37831915261387 |
| 152 | +- RegressionLineFormula: |
| 153 | + - a: 0.26677081047367 |
| 154 | + - b: 8.9976320759076 |
| 155 | +</details></td> |
| 156 | +<td><a href="img/Matrix06.png"><img src="img/Matrix06.png" width="120"></a><br /> |
| 157 | +<details><summary>Properties</summary> |
| 158 | + |
| 159 | +- count: 32 |
| 160 | +- x: |
| 161 | + - Mean: 24.7375 |
| 162 | + - Max: 32.2 |
| 163 | + - Min: 17.2 |
| 164 | + - Variance: 13.52796875 |
| 165 | + - StandardDeviation: 3.678038709693 |
| 166 | +- y: |
| 167 | + - Mean: 5.653125 |
| 168 | + - Max: 13.3 |
| 169 | + - Min: 0 |
| 170 | + - Variance: 21.256240234375 |
| 171 | + - StandardDeviation: 4.6104490274132 |
| 172 | +- Covariance: 10.1048828125 |
| 173 | +- CorrelationCoefficient: 0.59589777078761 |
| 174 | +- RegressionLineFormula: |
| 175 | + - a: 0.74696231187701 |
| 176 | + - b: -12.824855190058 |
| 177 | +</details></td> |
| 178 | +<td><a href="img/Matrix07.png"><img src="img/Matrix07.png" width="120"></a><br /> |
| 179 | +<details><summary>Properties</summary> |
| 180 | + |
| 181 | +- count: 32 |
| 182 | +- x: |
| 183 | + - Mean: 24.7375 |
| 184 | + - Max: 32.2 |
| 185 | + - Min: 17.2 |
| 186 | + - Variance: 13.52796875 |
| 187 | + - StandardDeviation: 3.678038709693 |
| 188 | +- y: |
| 189 | + - Mean: 11.828125 |
| 190 | + - Max: 168.5 |
| 191 | + - Min: 0 |
| 192 | + - Variance: 1067.1970214844 |
| 193 | + - StandardDeviation: 32.667981594895 |
| 194 | +- Covariance: -18.7919921875 |
| 195 | +- CorrelationCoefficient: -0.15639909125761 |
| 196 | +- RegressionLineFormula: |
| 197 | + - a: -1.3891214959748 |
| 198 | + - b: 46.191518006676 |
| 199 | +</details></td> |
| 200 | +<td><a href="img/Matrix08.png"><img src="img/Matrix08.png" width="120"></a><br /> |
| 201 | +<details><summary>Properties</summary> |
| 202 | + |
| 203 | +- count: 32 |
| 204 | +- x: |
| 205 | + - Mean: 24.7375 |
| 206 | + - Max: 32.2 |
| 207 | + - Min: 17.2 |
| 208 | + - Variance: 13.52796875 |
| 209 | + - StandardDeviation: 3.678038709693 |
| 210 | +- y: |
| 211 | + - Mean: 1009.31875 |
| 212 | + - Max: 1021.3 |
| 213 | + - Min: 997 |
| 214 | + - Variance: 36.3283984375 |
| 215 | + - StandardDeviation: 6.0273044088962 |
| 216 | +- Covariance: -1.944453125 |
| 217 | +- CorrelationCoefficient: -0.08771180661176 |
| 218 | +- RegressionLineFormula: |
| 219 | + - a: -0.14373577888402 |
| 220 | + - b: 1012.8744138301 |
| 221 | +</details></td> |
| 222 | +</tr> |
| 223 | +<tr><td>Minimum Temperature(℃)</td> |
| 224 | +<td>-</td> |
| 225 | +<td>-</td> |
| 226 | +<td>-</td> |
| 227 | +<td><a href="img/Matrix09.png"><img src="img/Matrix09.png" width="120"></a><br /> |
| 228 | +<details><summary>Properties</summary> |
| 229 | + |
| 230 | +- count: 32 |
| 231 | +- x: |
| 232 | + - Mean: 15.596875 |
| 233 | + - Max: 19.7 |
| 234 | + - Min: 10.1 |
| 235 | + - Variance: 6.726552734375 |
| 236 | + - StandardDeviation: 2.5935598574884 |
| 237 | +- y: |
| 238 | + - Mean: 5.653125 |
| 239 | + - Max: 13.3 |
| 240 | + - Min: 0 |
| 241 | + - Variance: 21.256240234375 |
| 242 | + - StandardDeviation: 4.6104490274132 |
| 243 | +- Covariance: -4.230458984375 |
| 244 | +- CorrelationCoefficient: -0.35379198363538 |
| 245 | +- RegressionLineFormula: |
| 246 | + - a: -0.62891932189216 |
| 247 | + - b: 15.462301048637 |
| 248 | +</details></td> |
| 249 | +<td><a href="img/Matrix10.png"><img src="img/Matrix10.png" width="120"></a><br /> |
| 250 | +<details><summary>Properties</summary> |
| 251 | + |
| 252 | +- count: 32 |
| 253 | +- x: |
| 254 | + - Mean: 15.596875 |
| 255 | + - Max: 19.7 |
| 256 | + - Min: 10.1 |
| 257 | + - Variance: 6.726552734375 |
| 258 | + - StandardDeviation: 2.5935598574884 |
| 259 | +- y: |
| 260 | + - Mean: 11.828125 |
| 261 | + - Max: 168.5 |
| 262 | + - Min: 0 |
| 263 | + - Variance: 1067.1970214844 |
| 264 | + - StandardDeviation: 32.667981594895 |
| 265 | +- Covariance: 28.621337890625 |
| 266 | +- CorrelationCoefficient: 0.33780910649999 |
| 267 | +- RegressionLineFormula: |
| 268 | + - a: 4.2549785931745 |
| 269 | + - b: -54.536244245418 |
| 270 | +</details></td> |
| 271 | +<td><a href="img/Matrix11.png"><img src="img/Matrix11.png" width="120"></a><br /> |
| 272 | +<details><summary>Properties</summary> |
| 273 | + |
| 274 | +- count: 32 |
| 275 | +- x: |
| 276 | + - Mean: 15.596875 |
| 277 | + - Max: 19.7 |
| 278 | + - Min: 10.1 |
| 279 | + - Variance: 6.726552734375 |
| 280 | + - StandardDeviation: 2.5935598574884 |
| 281 | +- y: |
| 282 | + - Mean: 1009.31875 |
| 283 | + - Max: 1021.3 |
| 284 | + - Min: 997 |
| 285 | + - Variance: 36.3283984375 |
| 286 | + - StandardDeviation: 6.0273044088962 |
| 287 | +- Covariance: -6.01619140625 |
| 288 | +- CorrelationCoefficient: -0.38485952832303 |
| 289 | +- RegressionLineFormula: |
| 290 | + - a: -0.89439444598497 |
| 291 | + - b: 1023.2685083747 |
| 292 | +</details></td> |
| 293 | +</tr> |
| 294 | +<tr><td>Sunshine Hours(h)</td> |
| 295 | +<td>-</td> |
| 296 | +<td>-</td> |
| 297 | +<td>-</td> |
| 298 | +<td>-</td> |
| 299 | +<td><a href="img/Matrix12.png"><img src="img/Matrix12.png" width="120"></a><br /> |
| 300 | +<details><summary>Properties</summary> |
| 301 | + |
| 302 | +- count: 32 |
| 303 | +- x: |
| 304 | + - Mean: 5.653125 |
| 305 | + - Max: 13.3 |
| 306 | + - Min: 0 |
| 307 | + - Variance: 21.256240234375 |
| 308 | + - StandardDeviation: 4.6104490274132 |
| 309 | +- y: |
| 310 | + - Mean: 11.828125 |
| 311 | + - Max: 168.5 |
| 312 | + - Min: 0 |
| 313 | + - Variance: 1067.1970214844 |
| 314 | + - StandardDeviation: 32.667981594895 |
| 315 | +- Covariance: -50.076806640625 |
| 316 | +- CorrelationCoefficient: -0.33248426687446 |
| 317 | +- RegressionLineFormula: |
| 318 | + - a: -2.3558637881615 |
| 319 | + - b: 25.14611747745 |
| 320 | +</details></td> |
| 321 | +<td><a href="img/Matrix13.png"><img src="img/Matrix13.png" width="120"></a><br /> |
| 322 | +<details><summary>Properties</summary> |
| 323 | + |
| 324 | +- count: 32 |
| 325 | +- x: |
| 326 | + - Mean: 5.653125 |
| 327 | + - Max: 13.3 |
| 328 | + - Min: 0 |
| 329 | + - Variance: 21.256240234375 |
| 330 | + - StandardDeviation: 4.6104490274132 |
| 331 | +- y: |
| 332 | + - Mean: 1009.31875 |
| 333 | + - Max: 1021.3 |
| 334 | + - Min: 997 |
| 335 | + - Variance: 36.3283984375 |
| 336 | + - StandardDeviation: 6.0273044088962 |
| 337 | +- Covariance: 8.34587890625 |
| 338 | +- CorrelationCoefficient: 0.30033484911277 |
| 339 | +- RegressionLineFormula: |
| 340 | + - a: 0.39263194310127 |
| 341 | + - b: 1007.0991525467 |
| 342 | +</details></td> |
| 343 | +</tr> |
| 344 | +<tr><td>Precipitation Amount(mm)</td> |
| 345 | +<td>-</td> |
| 346 | +<td>-</td> |
| 347 | +<td>-</td> |
| 348 | +<td>-</td> |
| 349 | +<td>-</td> |
| 350 | +<td><a href="img/Matrix14.png"><img src="img/Matrix14.png" width="120"></a><br /> |
| 351 | +<details><summary>Properties</summary> |
| 352 | + |
| 353 | +- count: 32 |
| 354 | +- x: |
| 355 | + - Mean: 11.828125 |
| 356 | + - Max: 168.5 |
| 357 | + - Min: 0 |
| 358 | + - Variance: 1067.1970214844 |
| 359 | + - StandardDeviation: 32.667981594895 |
| 360 | +- y: |
| 361 | + - Mean: 1009.31875 |
| 362 | + - Max: 1021.3 |
| 363 | + - Min: 997 |
| 364 | + - Variance: 36.3283984375 |
| 365 | + - StandardDeviation: 6.0273044088962 |
| 366 | +- Covariance: -94.59990234375 |
| 367 | +- CorrelationCoefficient: -0.48044674984083 |
| 368 | +- RegressionLineFormula: |
| 369 | + - a: -0.088643334304072 |
| 370 | + - b: 1010.3672344386 |
| 371 | +</details></td> |
| 372 | +</tr> |
| 373 | +<tr><td>Mean Local Air Pressure(hPa)</td> |
| 374 | +<td>-</td> |
| 375 | +<td>-</td> |
| 376 | +<td>-</td> |
| 377 | +<td>-</td> |
| 378 | +<td>-</td> |
| 379 | +<td>-</td> |
| 380 | +</tr> |
| 381 | +</table> |
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