1 Zakład Bioinformatyki, Instytut Informatyki, Uniwersytet w Białymstoku
✉ Correspondence: Jarosław Kotowicz <j.kotowicz@uwb.edu.pl>
R for Data Science (rozdział 28)
Rysunki w oparciu o kody z książki R for Data Science.
Wykonywanie map (prostych)
Rozciągnięcie mapy i zapobieganie rozciągnięciu
nz <- map_data("nz")
ggplot(nz, aes(long, lat, group = group)) +
geom_polygon(fill = "white", colour = "black")
![](data:image/png;base64,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)
ggplot(nz, aes(long, lat, group = group)) +
geom_polygon(fill = "white", colour = "black") +
coord_quickmap()
![](data:image/png;base64,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)
Mapa świata
world <- map_data("world")
ggplot(world, aes(long, lat, group = group)) +
geom_polygon(fill = "white", colour = "black") +
coord_quickmap()
![](data:image/png;base64,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)
Trochę wykresów ze se statystyki
bar <- ggplot(data = diamonds) +
geom_bar(
mapping = aes(x = cut, fill = cut),
show.legend = FALSE,
width = 1
) +
theme(aspect.ratio = 1) +
labs(x = NULL, y = NULL)
Słupkowe
![](data:image/png;base64,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)
![](data:image/png;base64,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)
Kołowe
![](data:image/png;base64,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)
Estetyka wykresów (co dorobić do wykresu, aby był czytelny)
Tytuł
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(color = class)) +
geom_smooth(se = FALSE) +
labs(title = "Fuel efficiency generally decreases with engine size")
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAArwAAAGwCAMAAAB8TkaXAAABJlBMVEUAAAAAADoAAGYAOjoAOmYAOpAAZpAAZrYAtusAwJQzMzMzZv86AAA6ADo6AGY6OgA6Ojo6OmY6OpA6ZmY6kJA6kLY6kNtNTU1NTW5NTY5NbqtNjshTtABmAABmADpmAGZmOgBmOpBmZgBmZjpmZmZmtrZmtv9uTU1uTW5uTY5ubo5ubqtuq+SOTU2OTW6OTY6Obk2ObquOyP+QOgCQOjqQZgCQkDqQkGaQtpCQ27aQ2/+liv+rbk2rbm6rbo6rjk2r5OSr5P+2ZgC2Zjq2kDq225C2/7a2/9u2///EmgDIjk3I///bkDrbtmbb25Db/7bb/9vb///kq27k///r6+vy8vL4dm37Ydf/tmb/yI7/25D/29v/5Kv//7b//8j//9v//+T////BrweAAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAgAElEQVR4nO2dj3+cRnrGV76osiPZ17qpdOdk47TXKJeLnVwl93KRnN5ZbRo53uYi2bVlVSuJ//+fKPMDGGCAeWFeGOB5PnFWO7wMD8N3Z19mGVhEEDRSLYY2AEFtBXih0QrwQqMV4IVGK8ALjVaAFxqtAC80WgFeaLSiwrtaKN05tS29Odw8KxWeLBabZ/H/PvjMWGiN9C+xmapN3RxucW86unxwSttVt+CeWi908cN7EUdvif/93eH84F3dAbx8IsNrp1bLDu++/t8AGhBeKTK8EEHt4VXHRBGwXqq+2DhOSdGJ6Kb/RfzvR7kw7oM3jpJIY73/iUN2xYo6YCX+ZwAm+u5/Km4sXSkr21qJ1UW0WJLAa6kt9mPWZjhTVeQWqM3cHMZ/7JvbM4qSfVqp7W7F734RC3fjP/621D6jqGIHkt3Thks7lmxBbU1EXaivwP1izIzkBV7VjvEBz+BNiwrwrsxIY730SCQBlzu7kdFj63Qlv7F0JaPsVztxhr1KliTw2mr74DOzNsOZrKKwQFVm2V5SlDbOiTAZb8+A94PPjKDqvRa7pwyXd0w3ubFbKbz5mDmpZc6bfhveyN5CtPPlzlYGb1aUpQ3quMhucTc5SOl64oiv5MEzAmIS9GdlvVQHO7+xbCWjTPZ7YrXEUJY61NeWblhVkS1IKpOfgPXSXCstkrrc2Y/f/H0cf7FxZOS8C/lB1UG2HTANyXYp7ZiuPzWg2vliYbbi7OQDXtWtiQOVwpsV5eHV5ZH5Rq4nABGHJQ2QeUOKxYX8Ek1xsa+UlgmJ79IM3nxtKj5fm+FMwZruQFrZ5Y4G0FxrYUAjvdz/VnzfJJuVDZX4LKycLch2Txku75heVW9Nt/PlTrygEDMn+Ugb9BfYQvc2QllREV4jPyyupz4IybfrerlrfM+nOattpZKB+Cib38JxWa429Ud+zZyz3A6klckUaJGmO2lWtEgT/ZjZVZzg7oqtFUYb0nzbtgPZ7mVfE3l7un69teSMQZQXY2akcOEVJCTf80R4RUe5n36/6pTBqI0Eb1aZ/lDcOTV50UW64o2jk/hMbUtUxgFvsjW9S3I3AK+zjG+nk+zLLQHOSBtSBuvShvx6RgoiV9z4brmbVpJ90dtWypep92bOm69NbSRvPecsyi1IKtO7vdg39i4pUn+sl58v96PV5n8lzFrgte1AMW2wfJRzW1N1q/EIa8w81AVedQKuz3VkamecsCVFlhO29TI5i8qvp3oeHSBI+Mf7SW9intFUrGSUSdLiHtM8WcvXZrNuODN3IKtMIbYSXWayMC2K9G7/Kt7Ixcavt5IfKdIhmBRe2w4UT9jKOyZXNQwIN1vFpp6bOsArv6+M8aZ0iCBdKMcqc/Dq8tybdD1j2E12JidZMlkaKrOtZJSp9ya8udos1vPOclVmlek/SgvTmlcig5CfDQ2vGuc14bXuQGGorLxjUunWkmE46TgfMyd1+YUtbvG4DdNcMDlgSklRAV55ONLI/Hrq+F4k7JophCr+fFne2I3NgMhT4/RTdW7pSZxRWxyvf6RIfeadGQvSyhQ8W7mFWZGudyvrC+V5omiiPLyVe/35sgSvYS8ytpaDtxAzI4V8VdmqeA6yXnboXkq1BadOuzdHBQyvynyV1PnSSYf+xawtOHXfvVkqWHjVCFWiYm7Zrbbg1HX3Zqpg4VW/0ppvzdyyY23BqePuzVTBwgtBTQK80GgFeKHRCvBCoxXghUYrwAuNVkR43+RVfF8nQuy4qp2hBR4WyQK8sECP5WGRLMALC/RYHhbJArywQI/lYZEswAsL9FgeFskCvLBAj+VhkSwMlUGjFXpeWKDH8rBIFuCFBXosD4tkAV5YoMfysEgW4IUFeiwPi2QBXligx/KwSBbghQV6LA+LZAFeWKDH8rBIFje8x8fH9EYL+LDBgiwPQ8zwHh+n9A5/iCdCTgAWeFgkC/DCAj2Wh0WyAC8s0GN5WCQLOS8s0GN5WCQLow2wQI/lYZEswAsL9FgeFskCvLBAj+VhkSzACwv0WB4WyQK8sECP5WGRLMALC/RYHhbJArywQI/lYZEswAsL9FgeFskCvLBAj+VhkSzACwv0WB4WyQK8sECP5WGRLMALC/RYHhbJArywQI/lYZEswAsL9FgeFskCvLBAj+VhkSzACwv0WB4WyQK8sECP5WGRLMALC/RYHhbJArywQI/lYZEswAsL9FgeFskCvLBAj+VhkSzACwv0WB4WyQK8sECP5WGRLMALC/RYHhbJArywQI/lYZEs3DEHFuixPCyShXuVwQI9lodFsgAvLNBjeVgkC/DCAj2Wh0WykPPCAj2Wh0WyMNoAC/RYHhbJArywQI/lYZEswAsL9FgeFskCvLBAj+VhkSzACwv0WB4WyaqF9/b5QRRdP9179DopYWiIbqEBVDtDC/xcOqkW3vO9Awnw+cdJCUNDdAsNoNoZWuDn0kl18F794Y8H0fU3r6KrL1/pIoaG6BYaQLUztNAHmQ6qgff2+7/Gve7VV6+j669fxO8/jNWXLQhqVg28509EyvD+UQKvEMOnuFtoANXO0EIfZDqoGt64y73N9bxCDA3RLTSAamdooRc0m1UN7/me0BPkvLBQLg9DjUNlt8+fYLQBFgrlYQjjvLBAj+Xn0kn4hQ0W6LE8LJIFeGGBHsvDIlmAFxbosTwskgV4YYEey8MiWYAXFuixPCySBXhhgR7LwyJZgBcW6LE8LJIFeGGBHsvDIlmAFxbosTwskgV4YYEey8MiWYAXFuixPCySBXhhgR7LwyJZgBcW6LE8LJIFeGGBHsvDIlmAFxbosTwskgV4YYEey8MiWYAXFuixPCySBXhhgR7LwyJZgBcW6LE8LJIFeGGBHsvDIlmAFxbosTwskgV4YYEey8MiWUzwvnz5skOjBXzYYEGWhyEeeF++LNM7/CGeCDkBWOBhkSzACwv0WB4WyQK8sECP5WGRLOS8sECPrYfk8v5ReyApwmgDLNBj6yEBvOOpdoYW6iEBvOOpdoYWKui4OVwsthS8lzuLxWI3Uq/72atXAV5YoMfa4bg53IrWy30Br3iJVndOZSd8ubOfvHYH1hTghQV6rB2OJF2IX//vTL1ePjhVRfrVr5jgPT4+7tBoAR82WJDlVl3c0aQKiC/iNGHjKDqRiUSUvnoVD7zHx2V6hz/EEyEnAAt2OAx418sYXNUTr5cLWZ68ehTghQV6rB0OI2242IzzhosN9V4mwMarNwFeWKDH2uEQJ2zin4BXdLw7G0eyMxbv9Wt3YE0h54UFemwFHcZQWZzjbnwX97Q69U1fvQqjDbBAj/UMYVsBXligx/KwSBbghQV6LA+LZAFeWKDH8rBIFuCFBXosD4tk4XpeWKDH8rBIFmZSwAI9lodFsojwOkrCy1IzBKVCzwsL9Fg7HP9rV3dIq4ScFxbosXY4pgJvt0YbV7UztGCHA/COr9oZWrDDAXjHV+0MLdjhALzjq3aGFuxwAN7xVTtDC3Y4pgIvruedtAU7HBOBFzMppm3BDgfgJYYGUO0MLdjhaIBX3HekYhJby5nxgBcW6LF2ODJe3759W4J3/elR5Sy2oOBFzjttC3Y4THYNevXSC3HfhhM5q03MxtQz4WV3LP9WBZf/8Jn7BHmMNsACPbYNvEJx77t+fBqtYo5PdsWL7I4fnIqeVxWQbgkFeGGBHtsS3pvDXYmrwjgSHIs/Hwt4dQEpgQC8sECPbYDXmvOKTGE3konCxpHIGtRc+BORRQh4VQHg7bfaGVpogrditCHJCC42z5JeV9xUUqYNugDw9lvtDC20gVezK24EJf7FKW78IljVN5PMCnqGtzS4gOt5J22hDbyrxULeX/okHW0QWUNc+sFn+zeHcrRh42iAnvf4eHs7Ry9mUkzbQht4GeQN3m2zHPBO24IdjrHCW6AX8E7bgh2OccJrpbdDowV82GBBlls1UniFCplDl0YL+LDBgiy3asTwNtE7/CGeCDkBWLDDMWZ4G+gd/hBPhJwALNjhGDW89fQOf4gnQk4AFuxwjBveWnqHP8QTIScAC3Y4Rgpv+gtbDb3ujfbJJ584x86QnAAs2OEYJ7zGxIlqep0b7ZNPKPTOj5wALNjhGD281fQC3ulYsMMxfngr6QW807Fgh2Oc8OavKqugFznvdCzY4RgpvHltW/Ed/hBPhJwALNjh8Aev44WRLBejW+kd/hBPhJwALNjhyHh9+fLlaOG1pg7DH+KJkBOABTscJrsGvclidbW5muF+8+zbxWL3Iv4XrR//SV6Wru9JIqK+c3xAPNc0oDK9wx/iiZATgIU28N4c7ot5Pmq2j3y+9s5WJGdebp5d3DnVk+BV1M+D9rwWeoc/xBMhJwALbeBVqYCYZxlzevPsKBL/xI0clvvyzyjKpr4Pmza8EfTm3lqu8C0ojcBoQ+gWGuC15ryXD880ljGqJrziRg4n+8kk+DRqUHjfNM6tyCuNwDhv8Baa4LWNNlT2vJ/KP7NJ8IHAa9ALeKdkoQ28IpuNodQ5r5k2bBmT4FXUD4PDm6MX8E7JQht4C6MNRs/7O2MSvIoSU+EHhrdIb0NLIecdjYVW8FZI37ysjXjvmGPSO/whngg5AViwwzExeM3f2oY/xBMhJwALdjjawdtB3Pcqy+gd/hBPhJwALNjhmBy8Weow/CGeCDkBWLDDERK87/f2fvsqiq6f7j16nZS1aQhN7/CHeCLkBGDBDkxA8F59+So6/zi6fX4gXrRcGyI3tiDpbR5tyAYZAj5ssCDLrQoIXqEY4OtvXkmOlRx3rjCqKxLfxnFeY3g34MMGC7LcqsDgjbvcq69eR9dfv4jffBjLsVYJr/Fe01u7joTXsX4oRAUF79UXv3kRvX+UwCvk+Mks/54m6a39lKPnHY8FOy9BwRsJarOeV8i1Ico5QtN9+JDzjsiCnZbA4I1+OmiV89rUTG+raudHTgAW7LAEBK/OF26fP2kx2mDbYfu8TEqbdYydCDkBWLATExC80fneXpzzdh/nTWOd6Q34sMGCLLcqJHht6tgQjvQGfNhgQZZb5QyvvtZcXLubK6Cq5+ewudEb8GGDBVluVcZrfO7t0PNm8LYU03PYypfk6pKM3tKARFpgeWQ8vX3L4rpMGPBqmewa9Oqlxmx30dGul/Lac/UMeDHDYrFYbCXPgm8B73q50XRppX3ncvcqEypPhkhLksS3NBScFpRqa9W+JbFN0AC8bvBms92TB14u9vUz4GXaIGZWqEe/t4FXTuDcPOOFN6EX8I7YQit4s5k/+lHDcdqgr0SX8K52zWfB0+GVE40Wu6zwZhfqAN6xWmiA15rz5uGVuJ7s62fAy9mXD8+yZ8G3g1fhW5l3VOyce84rZb/MDDnvaCw0wWsbbbD2vGKBmjos7ztC6HVt8K5E2hydVCUPnhrC31OvZkhOABa6w6tzXv0M+LhgJb/v1cT4VvDeHMp7ncUfhqqu11dD1P9eEfBhgwVZ3h3emDUx2nCiRxv+WyQMi139LPgW8K6XjcMU3hqilt6ADxssyPIW8DIoD++iadTYY0N4eXDQHMkJwIIdjkHhlWlDzdla5BVeHw8OosVOhJwALNjhGBZeqdpb7XhtiMrUIeDDBguy3KrB4b1Y1KYO7RvCNlBVQa+fobLSBmuGysqLAiYnAAt2OAZPGxrGKVo3RMVPBDZ8/fxIUdpgzY8UlkUBkxOABTscA5+wNV7l07ohqtCx0At4g7dgh2PgtOGk7573jQVfwBu8BTscg+e8lzs95rxKNnrd60XOO4AFOxyDwxvrpK/RhlRFfAM+bLAgy60aFl7xKKxFi6vKOjdagd6ADxssyHKrBj5hq+NWiqEhlHL0BnzYYEGWWxVC2lAnhobQMjvfgA8bLMhyq4JIG3rPeaXa3UR9huQEYMEOx6DwillGDWrfEKUhhPLF6Am9zXdDtViovrY9EUYbvFVrh8MZ3myme8s571p9/UhRGry1TQOqmN1Wq6i6unwBxnn9VWuHI+P13r17/fe8A8P7UqYOgDd4C3Y4THYNehO6clPfLx/+u7iK5vLBDw/PxDXq6pnvurQNvNUTKPqC92VyG2rAG7SFVvDmpr5f7uyq+T8/PjuKmf2beua7LiXDKyduLvhO2BxyXlmw3XwnX6sF5Lw9VtsK3tLsYfWy2o3U/DX9zHdCGhzMUFkq95tJUi1MhJwALDTAa815q+C9fPiLmDisnvk+dniJ+M6PnAAsNMFrG22ogvfm2Z8fnhnPfB85vCR650dOABZ8whut9N3LLu8fTQFewq18Z0hOABa8whtDmzzzfRrwSnp938t3IuQEYKENvAxigrc82FUabai+RZRaYsO3PCqQbqj5Zk5pRP29qOzm6tQXOW/fvnWNJYSSLCTlVk0E3vJQbWmct/rmfOmSEr7l8dh0Q8230Usj6u8CaDdXq57gffu2GslCLCGUZCEttwrw5pYU6AW8gNdU2PAW8AW8gNdUuDmvVpHeqg0h520ZSrKQlFs1FXi7NVo+1NsdJSdyqh+ABTscgNcSWjtsNj9yArBghwPwWkNr8J0fOQFYsMMBeCtCK/GdHzkBWLDDAXgrQyvonR85AViwwzEVeC2Xk7s3WtW16PJS30JZzRBCUTUR5cGF3snxe0kxRhssctw522QI50arnklRprdm8LaomgjLsG7f8PqdzIFx3g6S/PlfWU0TMkvkMc/9UamaCAlvG6v+1OyfIgmvt9pcFTq8jp9Mpp5XT3IzUl/0vNbYgHve9IpH+eC1bhpTzquWbNt/c0POa2rgnPfu3buNPW+48HZrtIbQHL7zO9UPwIIdDpNdg169dP34T8mTWuXT1mJ4bw43f1aXn+uFM4BX47vtvVr+2IlYaAXvcvPsQs6xFPcHudj85dnRiZ7/E8OrFs4C3gTf7TmS05+Fbb/w7su7i+iHZsd//3o3yuDdb5FHjBXeNwm/kyVneAs1D8qrh9ea864/FRPc9+Vkd3FbkZvDj/75LIVXLZwPvG8IM92oDgbfs+Et1PUMTfDaRhsEn/me92i1a8I76p733r176o93794VFiWjAeVxiGp80+rcHZQ36KRJwivatXLMohW8yy39gHeR88r7PMW4CmpXd071wtHCK+8RJP54965IbzIOWx4BjlepwDetro3bIGdS9GpBtGn1aHEreD/9XXG0QbxZLRYfPT7VC2cHbwW+gLdLqGxQ3/DWwFm7sFJTgNeaPADeDqGqNQGve2yrnDdZqYwvct7WoUlTes15GRQQvB2rbR55GAc5w1tofjiIHQ7A26HaJnxHQc7wFhx+e7fDAXg7Vbtdy+8YyBnegtmAgJce26Ha7Rp+R0DO4BbyjQd46bHdqq3EN3hyhrdQaDnAS44tjzYkcr1M2I5vtYPSyER5qKLmauCkXochik4N5uci3ZrQUqsBXmpseZw3EWGChg3fSgelMeHyIHHdTA1dr8vgcJcG8zQ9ojq03GSAlxrrBV5b9gB4a0MtX1aAlxrrCd7yyRvgrQulJFp2OADvGx85b6ocvsh5q0Pt57iAlx7rtdpWM4ZGsWceLRDHZ+xwAF6GahN8QyVneAvUkXE7HCR4ydMmLI8JmgO8LWYMjWbPvFgg34LTDkfGa5xAAV5/sXW/vPVkgbHabhZq5qpVlVtlsmvQmyy+kE+1Th61dvKv8vnu8rp08f94kfFc+GQqvHoYvIz6bll6KPZc4H3TdOFDLxZChLfN1SBt4F0/Po1WWxm86Yygi82zE/mwd+O58Hoq/Fo9DF5F/TzSnvfu3bsVodUjE7breavw7XTtb2+jDX5iC6G1H2iv8KrrzVN49/VcYs11vNh4RqYxFV4/DH60aYO8D4A1snpMuGImhf8pQ72N83qKzYe2u4i0AV57zhunAHoOm/j3n2oivJwFL97fPMvBm0yFVw+DT6PmDa81e5gtvE15lO/RBjV7OOl542ygsudVU+GNh8EDXqXSydtc4W0996QNvGJme/xPz3WPTraidBb8qc55zbRhKyX9/pGK+mGc8HrLeVMV8J1lzutw+uq155UZgHy++0eP5WiDGE7IjzYYPa+aCq8eBq/nyh/OeLShnO21OFXxamGQWPP7p221reClyG028Xzhrcd3XHtGt+A2agh46bF9Ds/3O2UoFHgdR7wHg9dN84a3Gt9x7RnRgvOPNYCXHttrtdQpQwwWeo2N3NkFvC1ie66WNGWopt5xjDZQLvEAvPTYvqu13KpvsuO8Xi5PssMBeIeo1nKnyYnCS0IX8LaJHQBejW+bhwyNCF5fVzXb4QC8g1SrfmEzfzaeYs6rdg7wUtqMHjtctSm949ozp1iPk6HscADewatlne82HLxep6Ha4QC8w1crD/O49qw5NsvnAa9rm7WLHbhaxsmaA8Hb8VS0XG5VSPBefbG3dxBF10/3Hr1Oymht1jZ28GppI0rD71l9bH4YcBbwXn/9Irr6/Yvb5wfR+cdJIaXN2seWQquv52UihzTV2IuF5MLkbMjCU+N6GMEul1uV8RrvzLDwvhfE/nRw/c2r6OrLV7rQvc2cG8IhtHomBRO88eYI+PqwkEwJMQaLvTSul98Oy+VWmewa9CaLzanvPzw8a/HES3d4heLe9+qr17ITjqIPY3XcWktJeHvfoEx9+5I83vGrhNdftb3uQz28uanvP4onCD6kPvGyqFp4b58/id4/SuAVcv3AEz7FDqFD9Lxigx2veqWEsvS8bNfLtYI3N/V9tRvF/zHCe/30SXza9tXw8Paf8+oNdptvQAplyHnt7gfLeXNT3y8f/tI5a6gfbTgQBAeQ8w5YbZeZXp4stIytcj7kaEM29f3m2Z87Zw018Cp2Zeow+GjDgNU6nLgNv2flWN4JTm3gLUx9Xy06Zw018J7vCR3Mcpw3F9uI7/B7VozlnlraBt7C1PfL+52zBvzC5hLbgO/we0axO4sfKaxiaIhuoT1VW8vD8HtG+aIAvB4boluoQ2w6VFEKrb7dTnlJDRNJvclK1dU6jDa4xNbU25yiA16PDdEttDk2GyQuhlbf6My6pJKLKL9SdbUO47wusZX1bjejC3i9NkS30B7hbXrsyNDwOqELeL02RLfQXuGt/81qWHidr8Xgg7d3TR9eTzmvlg2RAHJensuIAG+L2KCrLWMy+J5xXcAJeFvEhl1tCZVh98wx1fVqgYdFsgBvi9gCLgPuWTJbv2cLPCySBXhbxebwHWrPtrNOF/A6iKEhuoUOTM5wFrZz6QLgdRBDQ3QL7VRt9WXC5SWl0YB3KT5e9yzbTnEQw1iUJ9ep3jahgLdFbE/VVk/QKC8pjcPKghJEVAslGdspDB+nf9g2CngdxNAQ3UKHhfcN9aHGneGt2BzgdRBDQ3QLHRzeNyR+u8FbvSHA6yCGhugWOmDOayanrvx2yHlrNwF4HcTQEN1CA6hWx26nYrDQVDPgdRBDQ3QLDaDaLLaZX6bPBOB1EUNDdAsNoNpibB1rlGq3t93AJdYLeD02RLfQAKq1xG7nRa2Wgi2lXmoo4G0RO65q7bHbJblUa8YH3Ao8LJI1XXjT0/bq63mr1ylfXetw054kpLRyGeR6VdittlBzBXGHUMDbJtZHtenwaPVMiup1yvMaHG6XloRUzaRwwrY8zutgoW7uRvtQi4W0PAwBXts6LPA6VQt4CQK8tnUAr91CWh6GJgtvSDlvuf7qasu/sDlYQM7rIsedozREt9AAqp2hBR4WyQK8sECP5WGRLMALC/RYHhbJArywQI/lYZEswAsL9FgeFskCvLBAj+VhkSzA6y82GcqiPP6FMlTmYMFvKOBtETuuaos/UlAevEX5kcLBgudQwNsidlzVAt6hBHi9xQLevgV4/cUi5+1ZgBcW6LE8LJIFeGGBHsvDIlmAFxbosTwskgV4YYEey8MiWYAXFuixPCySBXitanXJdrJSzcrVow3JStnwQym2VG9NbLPbLrE8LJIFeG1qNVkmWalu5cpx3mQlY+C3GFuqtya22W2nWB4WySLCOxNJTtquRFlZ8meunBY4mKqJnYfQ89qEnrc+lodFsgCvVch5a2N5WCQL8MICPZaHRbIALyzQY3lYJAvwwgI9lodFsgAvLNBjeVgkC/DCAj2Wh0WyAG8gFspDFC0suAySAF6PDdEtNIBqvViwDA7TLTgNTwNejw3RLTSAagHvUAK8YVgAvC0EeAOxgJyXLsALC/RYHhbJArywQI/lYZEswAsL9FgeFskCvLBAj+VhkSzACwv0WB4WyQK8sECP5WGRLMALC/RYHhbJArywQI/lYZEswAsL9FgeFskCvLBAj+VhkSzACwv0WB4WyQK8sECP5WGRLMALC/RYHhbJArywQI/lYZEswAsL9FgeFskCvP5jKXfMYbLAXC0Pi2QBXu+xlHuVMVngrpaHRbIAr/dYwNuXAK/3WMDblwCv/1jkvD0J8MICPZaHRbIALyzQY3lYJAvwwgI9lodFsgAvLNBjeVgkC/DCAj2Wh0WyAC8s0GN5WCQL8MICPZaHRbIALyzQY3lYJAvwwgI9lodFsgAvLNBjeVgkC/DCAj2Wh0WyAC8s0GN5WCQL8MICPZaHRbL6e+r7h6iWrdqx2fUkwDuFasdm15MA7xSqHZtdTwK8U6h2bHY9qT94IcizAC80WgFeaLQCvNBoBXih0aoneK++2Ns78F/t+729377yX20U3T5ncHu+x2P39vneb154r1W4ZTlo/tQPvNdfv4iufv/Cd7VXX76Kzj/2XavQOcdR+4mJhLje949ec9TMVK0v9QPve0EYz7ETAPuv9A9/9G/29vsX3usUuv6G5csnUn1OyOov52VqCY6e9/b7vzKkDddPeb6Gr776C0faEPG0rU/1Bu/t8ycMtV59wXHYzp9w5Lwib+Lofa++OIgBZvh+D73j7Q3e66cc7EYsLRyTwHLCJsSQOwlwWTgLPOPtcbSB7bTVPw7qPJvnw78f/RgAAAFTSURBVMYA7/W/McH7E1N/4039wMvErugaeL7bOHpe4fb2PxhOrn7iSRu4TjD9qR94ucYM43p5TlW4xnlZ3MZnghzDx8GnvPiFDRqvAC80WgFeaLQCvNBoBXih0QrwQqMV4HXTxZ3Ty/tHxVJLEdSfAK+bYngtpYB3UAFeNwHeAAV4m7VeLja+VWnD5c5isdiPof12sdg8A7zDCvA2ar3cjf9JeCWslzv7lzt3Tm8OtwDvsAK8jZIZw0rB+0AlDzG/MmcAvIMK8DZqFecHUYytIPVksdiKdK67Xu4D3kEFeBtlwisTYD1qBniHFuBtlEwbjHFeAa1MGx7Yhn6h/gR4G7VebiUnbJJjkevihC0EAd5mGUNlF4vFYuNIDZVtYZx3YAHeNgK0QQjwthHgDUKAt40AbxACvNBoBXih0QrwQqMV4IVGK8ALjVaAFxqtAC80Wv0/J7K2zfa9d6QAAAAASUVORK5CYII=)
Podtytuł i podpis
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(color = class)) +
geom_smooth(se = FALSE) +
labs(
title = "Fuel efficiency generally decreases with engine size",
subtitle = "Two seaters (sports cars) are an exception because of their light weight",
caption = "Data from fueleconomy.gov"
)
![](data:image/png;base64,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)
Osie
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(colour = class)) +
geom_smooth(se = FALSE) +
labs(
title = "Fuel efficiency generally decreases with engine size",
subtitle = "Two seaters (sports cars) are an exception because of their light weight",
caption = "Data from fueleconomy.gov",
x = "Engine displacement (L)",
y = "Highway fuel economy (mpg)",
colour = "Car type"
)
![](data:image/png;base64,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)
Jak używać symboli i wzorów np. w nazwach osi
set.seed(2020)
df <- tibble(
x = runif(10),
y = runif(10)
)
ggplot(df, aes(x, y)) +
geom_point() +
labs(
x = quote(sum(x[i] ^ 2, i == 1, n)),
y = quote(alpha + beta + frac(delta, theta))
)
![](data:image/png;base64,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)
Umieszczanie textu na rysunku
best_in_class <- mpg %>%
group_by(class) %>%
filter(row_number(desc(hwy)) == 1)
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(colour = class)) +
geom_text(aes(label = model), data = best_in_class)
![](data:image/png;base64,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)
Lepszy sposób umieszczania textu na rysunku
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(colour = class)) +
geom_label(aes(label = model), data = best_in_class, nudge_y = 2, alpha = 0.5)
![](data:image/png;base64,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)
Pakiet ggrepel i jego warstwa geom_label_repel - jeszcze lepszy sposób umieszczania textu na rysunku
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(colour = class), position = "jitter") +
geom_point(size = 3, shape = 1, data = best_in_class) +
ggrepel::geom_label_repel(aes(label = model), data = best_in_class)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAArwAAAGwCAMAAAB8TkaXAAABI1BMVEUAAAAAADoAAGYAOjoAOmYAOpAAZmYAZrYAtusAwJQzMzM6AAA6ADo6AGY6OgA6Ojo6OmY6OpA6ZmY6kJA6kNtNTU1NTW5NTY5NbqtNjshTtABmAABmADpmAGZmOgBmOpBmZjpmZmZmkJBmtttmtv9uTU1uTW5uTY5ubo5ubqtuq+SOTU2OTW6OTY6Obk2ObquOyP+QOgCQOjqQZgCQkDqQkGaQtpCQ27aQ29uQ2/+liv+rbk2rbm6rbo6rjk2r5OSr5P+2ZgC2Zjq225C22/+2/7a2/9u2///EmgDIjk3I///bkDrb25Db/7bb/9vb///kq27k///r6+vy8vL4dm37Ydf/tmb/yI7/25D/27b/29v/5Kv//7b//8j//9v//+T///8WyjIcAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAgAElEQVR4nO2dDXvctpGAIV9dyZF9PbdSm1h2r3fdNI2T9CynTk5y7+q95KqNt6nsvXi9iWSZ//9XHD65/ABJDAmAA+7MY2uX5OwQmHkXOwQIkGUkJIkKG7sAJCR9hY1dABKSvsLGLgAJSV9hYxeAhKSvsLELQELSV9jYBSAh6SsMpr6qSn1Po4RRnWwJMFcsCIpwYTD1SG6bSIwxmiV4Q7ttIjHGaJbgDe22icQYo1mCN7TbJhJjjGYJXrgvmF/pF42kKMNcsSAowoXB1Pv6ggHP01XqftFIijLMFfMazP7CYOp9fQE8TXexe0UjKcowV8xzNPsKg6n39QXwNN3F7hWNpCjDXDHP0ewrDKbe1xfA03QXu1c0kqIMc8U8R7OvsDRP49seSYrCYOp9v8gup9ncPbMf+PHb2jFqeUctAQyaYMJg6n194XKaJnjFfoIXVQlg0AQTBlPv6wuX0xC8McwSvGBfyNNs7n51yNgsy25OGbt1cXN6lGVrsT3fV4efMXb70hw2rxv+mSMBr9kti90rGklRhrliPgkcIAymDvXFYrGQr/I0m0OO5lJQy2Fd3r7k/7L5L444lTNzWBwyh82rbnnNpip2r2gkRRnminlFsL8wmDrQF4uFpleeZnM4k0nAWrSf1yezzb2Lm6fPOJ33LmyHczUFr9lUxe4VjaQow1wxrwj2FwZTB/qCo6tuRJCnkYkr/7NU9ycc8RZ3c//7Rxe6OZUMczrNYfOq4TWbqti9opEUZZgr5hXB/sJg6kBfcHR5y8vxlafJ4dW//TzXXe/fnP7+VAGZw6sPm1cDr/mULHavaCRFGeaKDULOnzCYOtQXTGYNFXjXe7rrYH37y1m2/PlDtVk9bF5N2rBX6HAgeEctwSDk/AmDqQN9YRhTN5UZOm9OeSMqWLw+4X/WzLSw+QWbOmxeRZ5b/JQsdq9oJEUZ5or5JHCAMJg60BfM/JenMfDKTi9J4ZzzeH2isgbVVSY6zcxh8zpn+6VPZQTvyCXwRd9AYTB1oC/K8Posdq9oJEUZ5op5jmZfYTB1qC/YOTvPc16fxe4VjaQow1wxz9HsKwymDvUFY+z8nBG8eMwSvM6+EORK0IDn6Sp1v2gkRRnminkNZn9hMHWoL3jWcH4u3tAETCRmCV4pTogxxe4YHo6lmpZZgldI9ydFrjuih2OppmWW4F25JbEELz6zBO/KEd4IySnmGGM0S/CuHLsPWKnGkT0cSzUtswTviuBN1SzBuyJ4UzVL8K4UvMVpkT9+q/6XrY/p4ViqaZkleFe1ltc2xZfgRWiW4F0RvKmaJXhX27RhOz/9l2KOeibe6YlmBC9CswTvKoe3Mj9dTe9dWpZX2MUYYzRL8K5yeCvz07OfLrPChRzBi84swbvK4a3MT8/EGjjW2Tq7GGOMZgne1Rbe8vx0NaeSWl68Zgne1TZtKM9Pz9YC5jW1vGjNEryrwgXbdn66+C+43RwSvGjNEryrcleZnp+u/7O9r/WKYgQvPrME76o+PGy3PqaHY6mmZZbgXWl47120Gyd40ZkleFcS3rlc36bN+KgejqWallmCV0j3JxnBi88swSsFNEF9BA/HUk3LLMEL8cW5mfy+ezHGaJbgBfji/NzQu3sxxmiW4AX4guDFZZbgBfiC4MVlluCF+IJyXlRmCd7QbptIjDGaJXhDu20iMcZoluAN7baJxBijWYI3tNsmEmOMZgne0G6bSIwxmt0ZeN8/f5Jl7z47/vC12RPJbROJMUazOwPvq+MnEuBXH5k9kdw2kRhjNLsr8F798U9PsndfvMyuPnmpd0Vy20RijNHsjsD7/i9/5a3u1aevs3efv+DbH3CJVCoSEgdhzYdePRYpw9sPDbxCIn3nJ9JAYTS7Gy0vb3Lfl1peIZHcNpEYYzS7G/C+OhbymHLeaZndDXgz1VX2/vlj6m2YkNmdgpf6eadldmfgrUskt00kxhjNEryh3TaRGGM0S/CGdttEYozRLMEb2m0TiTFGswRvaLdNJMYYzRK8od02kRhjNEvwhnbbRGKM0SzBG9ptE4kxRrMEb2i3TSTGGM0SvKHdNpEYYzRL8IZ220RijNEswRvabROJMUazBG9ot00kxhjNEryh3TaRGGM0S/CGdttEYozRLMEb2m0TiTFGswRvaLdNJMYYzRK8od02kRhjNEvwhnbbRGKM0SzBG9ptE4kxRrMEb2i3TSTGGM0SvKHdNpEYYzRL8DrUb7FY9HfbRGKM0SzB212/xaJG7+7FGKNZgre7fgQvUrMEb3f9CF6kZgleh/pRzovTLMEb2m0TiTFGswRvaLdNJMYYzRK8od02kRhjNEvwhnbbRGKM0SzBG9ptE4kxRrMEb2i3TSTGGM0SvKHdNpEYYzQbAd7N3bPePIKEwdQhvjg/P+/rtonEGKNZgtfFF+fnFXp3L8YYzRK8Lr4geFGaDQnvzSlj+wrezSFj7ChTr7Ptq1dhMHWAL86r9O5ejDGaDQjvzel+dn0yE/CKl2x560I2wpvDmXkdzGtJGEwd4guCF6PZgPCadIG//nSpXjf3LtQu/epXGEwd4guCF6PZgPCub2lSBcRrnibsnWVzmUhk+atXYTB1kC8o50VoNg681yccXNUSX58wud+8ehQGU4/ktonEGKPZOGnD+jbPG9Z7alsmwIVXb8Jg6pHcNpEYYzQb+IJN/Bfwiob3cO9MNsZiW78O5rUkDKYeyW0TiTFGs5G6yniOu/c1b2l16pu/ehUGU4/ktonEGKPZCIMU0YTB1CO5bSIxxmiW4A3ttonEGKPZHYbXWRaLRSDLJCRaGEzd9cu5WNTnvu9eA4XR7A63vK71W1jo3b0YYzRL8HbWj+DFapbg7a4fwYvUbEB4/88ugxltFAZTh/iCcl6MZgne0G6bSIwxmiV4Q7ttIjHGaJbgDe22icQYo1mCt6t+1YnDULdNJMYYzRK8HfWrzb2Eum0iMcZoluDtqB/Bi9cswdtRP4IXr1mCt6t+lPOiNTsevGLphoZ5QD0nFzOYeiS3TSTGGM1GgfeHH36owXv98KxxIhDBO7ESYK6YHY4iuwV69dG1mPo+lxODxIQ2PZlYNsfyvdqx+Zffus8xJnixlgBzxfrAK4S3vtePLrIl53h+JF5kc3zvQrS8agdoVR2CF2sJMFesJ7w3p0cSV4VxJjgWbx8JePUOUAJB8GItAeaKdcBrzXlFpnCUyURh70xkDWo68VxkEQJetYPgnUQJMFesC96G3gaTEaxvX5pWV6zLJ9MGvYPgnUQJMFesD7yaXbGWjvjPU1z+IljV6/Ftd8SG19qx299tE4kxRrOjwbtkTC7RO897G0TWwPf+7Lezm1PZ27B3NkbLax9So5kUCM2Olzb4FwZTb6ifFd7qPKDdizFGswRvtX4EbzJmCd5a/RqyBoIXnVmC180XlPMiNEvwhnbbRGKM0SzBG9htjLHVgwcPfJtNizLMFbPDQfAKdLkqY670Io4xRrMEL8QXDCb8A8LqA4IXccXscCQMb8MgG4OdQeIr4BX0DvNwLNW0zBK8lvrZB9k4vNACKXhF0zvQw7FU0zJL8Frq5wveTMMrsodhHo6lmpZZgrdav3Mj9XoCT6Ca3sydXcwxxmiW4K3U79wvvKq3YbCHY6mmZZbgrdTPL7yqn3e4h2OppmU2CXgdb4xkMKv2+iluu3NeMfP5x287noTIuXUeoGj1cCzVtMxGgXexWCQDb9u96MUTiHvmOx/hKQfXAPQijjFGszHglbdk1eBVd5urGe43T58xdrTm/7PrR3+Wt6XrNUmE1teOz9hmnRolgfuieAKCd3yzo8F7czoT83zUbB/5iOLD/UzOvLx9ub51oSfBK62/x2x5W0SeQHyr+Jdsc/cr/uZIMqzeqW+bPqxLtCB4A5odDV6VCoh5lpzTm6dnmfgvFnI4mcm3Wbad+h41bWgRcQL5rPrlrQvd8oqXw9uX2ZKJP2L2kjps4KWcN6DZ0XLezf1LjSVHtQivWMhhPjOT4HMtLPD+JAskyc3hnen5pHzDHM7hnUqMMZodrbehseV9KN9uJ8Ejg9c8sb4Ar0B1+6f4QHvmYhVSgtCqaZkdDV6RzXIodc5bTBv2C5PgldY3iOC9Ptk7q7S8RXjNYYI3gtnx+nnLvQ2Flvd3hUnwSktMhccCr1hkIls3trzmMMEbwSy6QQq9eFkfYTB1uC/ECQSYm0MJr0xtqvDqw7pEvjwcSzUtswQvwBfyBPxCcu/rk5mgdc72azmvPqxL5MvDsVTTMosO3gHCYOoAX+i5w8ATELyBzRK8DvUzqzYAT0DwBja7I/C+PT7+zcsse/fZ8YevzT73+vWFl3nzcCzVtMzuBrxXn7zMXn2UvX/+RLxoca9fvl4ObBIbI3jDmt0NeIVwgN998VJyrATgi3y9HOjsYV8ejqWaltndgZc3uVefvs7eff6Cb3zAZdC5ZGM8yAIJZkEF79XHv36Rvf3QwCtk0He+uvJeTfK7ySbSQGE0uzstL6d22/IKGeS2Lngf5PdCTiTGGM3uDrzZd09657wWVYeGl+ANbHY34NX5wvvnj3v1NvRwG8EbwexuwJu9Oj7mOW+/fl5bG1u+xdx2wznlvOHN7gi8NmmsX3kKppjJU6W3PLmnfaqPsgpcog/YHdcu41M2YXj1vebi3t3SDqgwmHpT/SqLNljQXNThLTfPxa1MbgLL5i4O9I5PWcrw8uA6tLxbePvGEabeVL8+8JY7H0pbWVB2Xegdn7KE4ZWhrsJbmO0uGtrrE3nvuXoGvJhhwX8R982z4F3DWHgvZzS0S1P9yvBa5v9yGMupRCO8whDBG8zsePBuZ7ubB16ymX4GvEwbxMwK9eh35zCWtjj+YlZDszTWr6PhXRip7qttya8BwRvM7Igtbz7zRz9qmKcN+k50Ce/yqPgseKcwVrbFw7ePbIpK3OrnBu+qxrJ4UfAuCN6E4bXmvGV4Ja7zmX4GvJx9ef9y+yx4xzDW9ggDjXmHW/1s8HIku0aHpRC8Yc2O1ttgbXnFATV1WK47Amh1ZRgr20uRNmfzpuTBsX71bjDJpAO7OufN4V12fRF//Na9sut8YZPOUoxP2bTh1TmvfgY837GUv/dqYrxrPFlx4+ZUrr5UiHJV+vpi0bQCapPXNLzXJx29Kd1rnxWE4MUDL2dN9DbMdW/D/4qEgR3pZ8E7Ciu8vz7p7Kbo64sFiF1lVRStk02Cd4wS2N3bDm8AYYX3HPuuXuO+vpAdZUCvMbUC3778QdgXl6R/5t9SsSEYlIvzzcTfo0zvUwqimGrlvpvTI7EYj1gGS/Yg7j1LE16vY4lThVdC0HK1lg24MafHyo+iaKJhFR2EppNQvsmWPEuS0+YPZ0ZB7jvUXYRm5T6+L5v/4kj2yZwcFX5ZkoIX+DCwcni9lKB+wCrjwiuldamd3r4YAK/8sed/5Lp8coPDaUbDcwWx71D/cOQL+4mL2GfyekDqLNOEd1B8fZSgfsAqo8O7Zq2pg3v9KiLhdels2FoVRZNsistPs1DJUv0cHolMf18rmH2F/Fet3Mdb3M397x+JFngpjdyzwWv9VuGBtxohYHw9lMBywCqjpw0d/RTu9auKvJnBTVVf2omi1eHdFlCOg0t49b4c3nzlvvn+ev/m9Pc8922G1/6bQPC26drPNfIFW+ddPu71q0rnBLZcTMeEKJqEV3SerBWn2/X4dIFzhawAb75y3/r2l7Ns+fOH29xD17pwOoIXXlr7uUZOG+bhWt62h67UFEvw5hdsgs2bU9GtvXcmOdQL95l9W3jNyn2yCV6LSolVYO0XbAQvvLT2c42e824Ow+S8jY93bdYURdPAqq4yyabY2CusRz3XfWnFJX63K/fNJbdi8Ka5q2wyOa8YbKwOOO4UvFzmIXobAPAWc95AklJvg7Mb9NLHHTWdLLyyb9/DXWU2AQ4PrwhegrdLWOE9/2Vt4VaKe/1q4syuWFZHvA7pnO+odHchsMGrU6fiaOPeP4toLc2go2h5flkccLRXdarwOoh7/epSvV+9QW3bLTFgWBQ8ajqgXjHgFRes6tq0MNoouv9uTo+Kg47FAUcVXw8lsBywCoq0IUjOW84bHtQnYBoR95MFe3C28zAfMnhNOlAabdS05gOMGl6zreLroQSWA1YZFV75lW0X9/rVpAZvvedXosXR5bvd8YWg4z5IjQxe00NdGrC5UYMvxQHG4oCjiq+HElgOWMUZ3u1M955z3rWwwvuggxT6dnS9YYVX7OFoMZnzAuGtt+KWdn1i8PKtf5jBw2x7wbYs9tWPA++dO3fit7wh4V2piUB6wwav2sG0VVd6s+1H68YqqsnCm6cNxdHG7PrhV7zlKg4wFgccVXw9lMBywCpFdgv0GrpKU983978Ud9Fs7n1z/1Lco66eQq339oG3eQKFF3hrq0TaeWPq3ZsQ8Cab85oLtdJooxqhyQcYxQ9nccARG7ylqe+bwyM1/+dvT/lX7v736pnvei8YXjlxkwW8YOte4jSHV75hbxzNbj9aN+Ze2ArWyOCtdZUpeOWd9vmgo0C5MOCIDd7a7GH1sjzK1Pw1/cx3QBrMOjX8wdu1xKlemYStFLsQeB1z3mYr1YQCG7x9BU/O2wTv5v4/np6ZZ74jhrdbBEKit2HBgPAOVSV4IaW1n6u9t6EJ3punX92/LDzzPW14H4jRiYUru5OHdyozKZrgzZZ69TI19WUseKOMiNUuuTyhgzbnHTJMbuktxwevmSHzs9/OxoM34L0I2xjUO7uCoAOZpx8aXpo93MgFTL2lfuHYzelVF3QFeMVF2bYEnf1gzoHrscqEd9WaLmfxBy4uqj80KRK89voBLcFEwruowiu7w/Kt7hGIlOEV398fBL4uZglem7TUD2gJJjm8i0rDK3boLWd4uxUxwrsSTBK8JSpg6i31A1qCyRbeYnawKNHrCu+DB070th5v8IFP1bKuyps4vW5mG9kleK31A1qCSZ7zlhmtNb3twVAKFnjrrCLqbZDCKq/xS1A6YJVdhbdhUWDLXPVFf3j1J6vw8vf1LIHgbdO1B3FH4RUT022LAnfB+wCU8xqFGruSXse42UIZRNWS8zbeakfwukhL/YCWSiLvgbKsVmqDd1EhLyu8d4PXsjcBeJn5M1YJigeskjq85uYntcaoXnS0sOComC9ojt396rB08+bm7n+6rElaveHGHV57XqHhdY2bReL1845cgu0BqyQOr5knaNYYlfMEiwuOcoK3x/j2spDoztVyeNA1SQcPUiBZdCTUuHd/1R2D1/zy52uMinmC+Ya60790rJAqLNVTYUBrkoqADw2cvU83OryRxr0JXmv9hKXtVAy1GlN+z7RacFTPtyoc28K7FNmC25qkuciAA6JhbWMJXriuHY6JwGvWGJVs5guOqvmCpWM5vHN167/LmqRbyeF1m91jT4qnCG/zGAXBa62fsJTPE9RrjKpVSc2Co3q+YPGY+cAynx3bsiapvlQrzeKU8HZfqm3V67uto2lJ57wto8Ojw5u3R/LBa8OEDTVQsmTmB5o1RvMldeWCo2q+YOmYhre8LLRtTVL+X45I5C9SBLvqRb1pF0e19EXCG/+0W14PDg46W9748LZ8OaUl01Wm1xhVUOYLjqr5gsVjmlq9Tkb7mqT61obqzEr3ltd97jDKrjJ31bFb3oODIr366PWjP5sntcqnrXF4b05v/13dfq4PAoXB1FvqB7QEk3Z4zQPluyZ4oqMslNmRc147vCe3L9dyjqVYH4Rf/zw9m+v5PxxedRBKBUy9pX5ASzCx57ymBA1YDwlc2vCGLoE9SF3wzuTqIvqh2fy9WOUyh3fWI49gMPWW+gEtgaRt5TKCFx281pz3+qG46pnJye6iq//m9Ff/epnDqw5CsYCpt9UPaAogravuiRIoaAneWCWwh6m9t0HwWW55z5ZHRXjHbHnHWk+3UALKeSOVoBe8J/v6Ae8i55XrPHFcBbXLWxf64IjwDnabwPSNkEZV2DI4cVTTMgspQfNcoj7wPvxdtbdBbCwZ+9WjC30wXXj1TX9t8AIWIJPrZQFL0E81LbMA1eYet37wtsDZerBRGEw9pNtUclCHtzACpiatNdwSWZI7dyz0JkUZwdspDKYe0G1MsyYWKSuqFu89WFjoDQWv+xxMgldJO7wBhMHUA7qNadhYRfU8l5W16Q0EL2D2+1Th9ZvzBhAGUw/otm54z8UAbxXeemab7x+U8xK8nnsbAgiDqQd02x2VN7CaagFecQ9Djd0GeuElKKkSvAQvQJWxO2aKYVW1CG/53ppg8FLOS/CCVPPhiJpqnjXEgzeI7vhmCd7QbmtUrd/UCGA3LcoI3k5hMPVIbptIjDGaJXhDu61lhG3kEiRvluAN7bYGVettY4hjjNEswRvabWPAW06ebapNs4gIXiUEb5tqSHgr3RaW68DGmXIErxKCV6m+sT/JKmDOW4bX1gNH8G4PWAUEL3jahOUxQQxmIJLb5E29/s0GhddpUGMQOl6mBEeBl/uC4PVs1j3ntY59tOa8bsPJQ9Dx86CJGPBKX9TgXcv1w82j1ub/Jpc6kPeli7/8UOG58GYqvHoYvNT6+qS2/DjBaxfw2AfB2wHv9aOLbLm/hTefEbS+fTmXD3svPBdeT4W/Vg+DV1p/T6Tlbcp5QWbjzqQgeLvgVfeb5/DO9FxizTU/XHhGZmEqvH4YfDppgw8Px55JERze1HNengLoOWzi//+oifByFrzYvnlagtdMhVcPg8+1koS3x6rgY8DbSe+O9zao2cOm5RUL2ja1vGoqfOFh8MnC2+d5DNHnsBG87fCKme38v57rLh7ckM+Cv9A5bzFt2M9Jv3umtL5JFN7CX0ezNnYJXl8l6AOvygDkooq/eiR7G/bOqr0NhZZXTYVXD4PXc+VP0+htKKuyyquLWWtfV9gYB895Y6uOOMLmNpuYwYxGcluS8KZhluAN7TYYvNZ+NVtHLbW8qcDrJgymHslttpz3gB3Ydd1HNNpKUIGdct42XTscBK9NVXQ0HDB2YKXXD7zVNIPgbdO1w0Hw2lWZQJfgjatK8LaohlsS1VlMUWo9a5Tztuna4dgleIGnDiGG3nqvMDjGbss8ELxewwdT9+k24KmDSBHevvWSuo4L7BC8XqMHU/fpNuCpgwjB20vX7kyCN66YpHfIbRAErxaCN67Yxz1g9aKcVwvBG1f8wetdleDtjh5M3afb5Kl//LbxXNVDLaqtkj/YuCDmaYsEby9du6N3DV4bWFqqh1pUW+Xm1PKYGYJ3kK7d0wRvLr7gXf4Ttby+S2D39JbXN2/eTB9eMbP5yDwqfi4eF7/c15vqkPjLxDPgK9vm6fL6dXP3K3FYT5Tefkh87t434lb8I/3MeX6S4uPk0cBrGeFOF145YF+Dtzj1/Zv7lz2eeFkVBlP36TZxatGcihnP4r9oDW9OZ2ZTHBJzmOSkEa1qtsVxOcHU6B7evsyWTPy5dVH8kJwnxT+45IfmvxDfk9n1yRH/bBu8byrPI4JWrIeq7f6MicFbmvr+N/EEwfvQJ15WhcHUfbpNnFqAJX/C1wo6XjWzKQ79dJnl+UJx26QQue6hbHBn8mDxQ9Jdd9Xk/6fP5KQo+ZllC7xvDg4Omp/B6VCxHqq7AG9p6vvyKFse2c24C2s+dPXx8fGTLHv32fGHr80+n25jmjH5zFnZPO6Lf2ZT4cd/a/RzPYvbJmUt6W7/FD6kZvDJBvj+948ueAu8lJ+51wyvuH3tgOBt07UD05Hzlqa+b+7/Y3DW0ALvu89fZFd/ePH++ZPs1Udmp0+3iVOX4OW/JmoBlRzI6xNR3W3La7Zb4S1+aKluHpvxXHe9f3P6e577ooR3WjlvY2/Ddur7zdOvBmcNLfC+FcR+9+TdFy+zq09e6p0+3SZOLeEVjaRKeP+d18xs5lyvty2v2c7ThoJuDm/xQ+aD/JNfzrLlzx9usxRVfUs5R4E3mtnR4K1MfV+ywVlDR87LW9+rT1/LRjjLPuAy+HyVUxevukQ7uZ/lm+KQQHBzqDgsbhud4sXdFt7Ch4TI/bI5XotLOrEkwPaCzVIulfOSgKWj5S1Pfe/b81kU1nbw/fPH2dsPDbxCfH7nmarRft7vpS658k1xiFd47+uTWZZVtmtdZcWct/ihzCTLc8mt+LZ3dpWN0NsQz+yuDFK8++wxv2z7NCi8Jakv6BNa0PTzClF5b36HD8HbGb3mQ1cfP+F/w+a8ZRneeQIVTPCqHoftvZUEb2f0Go8odmXqEK63oShypCGyELy9dO3ORATvq2MhT8L182KagDmkXnXd5tnMBK9PYTD1SG6L1+41cTakBC1z8Snn9SkMph7JbdHgbeRsDHj76+KAN7owmHoktyGAF/xgge0HCN5IwmDqkdzmMcaSI73YDgBe8CNdih/olfPWPoTYtUFQhAuDqUdymz94JVMHeqkoQM47CN4OVccTInZtEBThwmDqkdwWD962jxG8jQdwCIOpR3Lb2PCC2N3mvOozTSsCblUbT+moCzA7RJXgDa06LOdt4KwPvIa/g4MWeinn9SkMph7JbbEuyps4GwPeIboEr4tEctvY8IKu1wjesYTB1CO5bXR4W3q7WswOyXnrp0bs2iAowoXB1CO5LVoD1ciZSybtpQQWy9o4YtcGQREuDKYeyW3Yf13LWYXPErxphdfDnRgEb2i3EbxWXR93YhC8od0WBd6W1HRseBt0Cd6yMJh6JLfFgLetU2DcnLeoW7ndh+AtCoOpR3IbBnhbG2YvJXDQ3eLaxi7B6ySR3IYA3urhlr6zGPC2D5sQvC4SyW0Ict4KvG3sELwjCYOpR3Ibgt4GHPCuSlmDD7MEb2i3IYB3VcsaHODtzJP7V6x1yA8w74Pg7eWLxOAtycGBy492exoNLAFE1/lWDMioN8EbXNWj2UJkK0F27FY7OGi9K6e7BKXzBoAXdL8RwSiEzF8AAAecSURBVBtctVm3HieXkQfJXjXIQHiHdB9vz1tr/JvNErwu4l4/gCsGqTbqmkA142D7gGKv2qfqSqSBtxGRDiBb4G0tgmvOS/C61Q/gikGq7fCWKYTCW6LXsQSaXafRhBqQzfC+aYe3uXBloZy3l9vww7sy7B6sak2vlCZ6qkS2DYWVDtSBzBOXqllP8FJvQ3i3+cp5YfCuCjhldQAb8an1aTXD25GN5I1/zazc3VhsgtdFIrnNh4fv3LmjUXDMeYXkWUNW/4XthFd+opXdatJpzXmt8Hb08zYfGqBK8IZWbdK9c0fSWyLOwWye8VoPtcKrPgaC13rYDm+rELwuEsltvuCtEOdotomwjpy3AO9BT3ibc952IXhdJJLbcMLbUQKdlsq2s+njENNoXUvw+lJty3nFS7G5dDUrc154CfQXpfXKCvC1wOtagteTKqISKHh99Wkhqlj9AA5hMPVIbkszxmB425thPBWrH8AhDKYeyW0Jwqu57RrHLW6YvoXhRSB4XSSS29KDd4us+4052+HooUUgeF0kktsShhdwVxnBO1AYTD2S23YD3lUd3mIWjKNi9gM4hMHUI7ktPXhXxawBchNClV3XGzg7zPpQJXhDq6Irgfvdk3UheEHCYOqR3JYyvENUW+Ft6VgjeF0kktsSh7cZswaz+Qdact76yDLkXs+uEsB0g6AIFwZTH+KLhODtdW9D/rmWGxhqJdje+t6lW1MqdBITvC4yxBfpwAu8Myc3qz/nDu9BYdbRdpdd1wLv9tb5HoUdohsERbgwmPoQXxC8lmu7KryFzoqunJfgZTD1Ib7YGXidc14D76rU8DbBWy8mwUtSF3FPZITPKXbruyAGIOebmjCY+pAvcjotb7QSWPqEG3PeMCXopxsERbgwmHokt+0KvCOYJXhDu20iMcZoluAN7baJxBijWYI3tNsmEmOMZgne0G6bSIzjmnXr3iN4e/kCSYxTKQHUrGPnNMHbyxc4YpxMCQjeTmEw9SG+wBHjZEpA8HYKg6kP8QWOGCdTAsp5O4XB1If4AkmMMZbAyh3iigVBES4Mph7JbTsGr9P9vEFLANQNgiJcGEw9ktsIXh9mh6oSvKFVp1ACgrefMJh6JLftGLyU8/YTBlOP5LZdgzeiWYI3tNsmEmOMZgne0G6bSIwxmiV4Q7ttIjHGaJbgDe22icQYo1mCN7TbJhJjjGYJ3tBum0iMMZoleEO7bSIxxmiW4A3ttonEGKNZgje02yYSY4xmCd7Qbks9xu6rRPopAsHrIpHclnSM37xpntSQdMUKB3AIg6lHclvKMX5D8MYSBlOP5LaUY0zwRhMGU4/ktoRjfNDGbsoVKx3AIQymHsltCcf44EAut+/b7BiqBG9oVWwlyBeM9mt2DFWCN7QquhIAnvrurQgEr4tEclvCMYY+AdNLEQheF4nktoRjTPDGEwZTj+S2hGNM8MYTBlOP5LaUYzzk2cN9dQleF4nktonEGKNZgje02yYSY4xmCd7QbptIjDGaJXhDu20iMcZoluAN7baJxBijWYI3tNsmEmOMZgne0G6bSIwxmiV4Q7ttIjHGaJbgDe22icQYo1mCN7TbJhJjjGYJ3tBum0iMMZoleEO7bSIxxmiW4A3ttonEGKNZgje02yYSY4xmdxjeIfJBSmaTKmxiZr0Ji3eqpDycVGETM+tNWLxTJeXhpAqbmFlvwuKdKikPJ1XYxMx6EzZ2AUhI+gobuwAkJH2FjV0AEpK+wsYuAAlJX2FjF4CEpK+wSOe5+vj4+Il/s2+Pj3/z0r/Z7P3zAIV9dRyktO+fH//6hXerorBBQuZRWJzTvPv8RXb1hxe+zV598jJ79ZFvq5kIXYCwfRcGBW727YevQ1gOZNabsDineSsICxM8AbB3m3/8k/+yvv/LC+82ubz7IsRPj7TMWxzUwuKdKpAvArS87//y1wBpw7vPgvwOX3363yHShiyIZ/0Ki3am988fB7B69XGIfO9xiJxXpE0BWt+rj59wgAP8vqNveOPB++6zEOxmIXzMUQhywSbEf+okwA3CGfaMN2ZvQ7ALV+88qAvtMN81//C++49A8H4XqLXxJyzOaQKxKxqHIIEL0fKKwr7/L/9XV9+FSRsCXV/6FBbnNKF6DbndIBcrofp5QxSWXwiG6OvGn/LSCBtJusLGLgAJSV9hYxeAhKSvsLELQELSV9jYBSAh6Sts7AKQkPQVNnYBEpH1rYvN3bPqXssuknjCxi5AIsLhtewleEcVNnYBEhGCF6GwsQuQgFyfsL1nKm3YHDLGZhzaZ4zdviR4xxU2dgHwy/XJEf8v4ZWwbg5nm8NbFzen+wTvuMLGLgB+kRnDUsF7TyUPnF+ZMxC8owobuwD4Zcnzg4xjK0idM7af6Vz3+mRG8I4qbOwC4JcivDIB1r1mBO/YwsYuAH6RaUOhn1dAK9OGe7auX5J4wsYuAH65Ptk3F2ySY5Hr0gUbBmFjFyABKXSVrRlje2eqq2yf+nlHFjZ2AZIUghaFsLELkKQQvCiEjV2AJIXgRSFs7AKQkPQVNnYBSEj6Chu7ACQkfYWNXQASkr7Cxi4ACUlfYWMXgISkr7CxC0BC0lf+H6b5XHhAmHcAAAAAAElFTkSuQmCC)
Text na rysunku zamiast legendy do niego plus funkcja theme
class_avg <- mpg %>%
group_by(class) %>%
summarise(
displ = median(displ),
hwy = median(hwy)
)
ggplot(mpg, aes(displ, hwy, colour = class)) +
ggrepel::geom_label_repel(aes(label = class),
data = class_avg,
size = 6,
label.size = 0,
segment.color = NA
) +
geom_point() +
theme(legend.position = "none")
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAArwAAAGwCAMAAAB8TkaXAAACSVBMVEUAAAAAADoAAGYAOpAAZrYAtusAtu4AtvIAwJQAwKcAwLkAwvUAyssAz/gA1dwzMzM6AAA6ADo6AGY6kNs6tus6wJQ6yqc6z/I62/w64O5NTU1NTW5NTY5NbqtNjshTtABTtDpTtGZTwZBTzrZmAABmtutmtv9mwJRmz/Jm2/Vm4Mtm5/9m6v9uTU1uTW5uTY5ubo5ubqtuq+RztABz29uOTU2OTW6OTY6Obk2ObquOyP+QOgCQkGaQwuuQypSQ2/KQ2/+Q8/+Q9f+RtACRzmaR25CR5/+liv+lnv+lsv+rbk2rbm6rbo6rjk2r5OSr5P+uwQCu8v+0iv+0x/+2ZgC2z+u21ZS24Ke2/9y2///Eiv/EmgDEmjrEmmbEq5DEsv/EvbbEx//E2v/Ijk3I///JzgDJ///PmgDPztvTnv/Tx//T7f/YmgDYvWbYzpDY3v/bkDrb2+7b4Kfb///hsv/hx//h///iqwDi7//kq27k2zrk///r6+vsvQDszjrs///xx//x///1zjr1///4dm34dof4dqD4j7n4ptH5dm35pqD5vej7Ydf7Yd77YeX7dm37fuz7mfL71P/8Ydf8j238pm38tOz8tPj8vYf8zv/86f/8///9ftf9mdf9tOX95//9//L9///+tN7+vYf+////tmb/yI7/zuX/1KD/2v//25D/3mb/5Kv/52b/5+z/5/L/6bn/6rn/7f//75D/8pD/8/X/9cv//7b//8j//9H//9v//9z//+T//+j//+7///L///j///z///9+BbvXAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAdXUlEQVR4nO2djZ8d1VnHLzS3XbW82FIt24bVklIVUkogUJe+oCi3BG1UKBrWtnFJhNhqeLMa0thIVwuytaUUsSq+kJJkyVJIge423RY6f5nnbWbO7D3z+pyZZ87c3/P5kJ17Zn7ze+6dbw7PPOfOZhQhEIHGiDsBBKJpAF5EsAF4EcEG4EUEG4AXEWwAXkSwURPer06Ha6w8ulQhRUazNlIEvL1SDdcM8NJUSJHRDPDSVEiR0Qzw0lRIkdEM8NJUSJHRrEfwIhD9Ccy8vVAN16xHM6+37PrzSfRCNVwzwEtTIUVGM8BLUyFFRjPAS1MhRUYzwEtTIUVGM8BLUyFFRjPAS1MhRUazocA7mUwaqJp5eZANNsXgPw8GeCcTi97+fBK9UA3XDPDSVMFfrJDNAC9NFfzFCtlsIPCi5p1Fs6HAy6VCioxmgJemQoqMZoCXpkKKjGaAl6ZCioxmgJemQoqMZoCXpkKKjGaAl6ZCioxmgJemQoqMZoCXpkKKjGaAl6ZCioxmgJemQoqMZoCXpkKKjGaAl6ZCioxmgJemQoqMZoCXpkKKjGaAl6ZCioxmgJemQoqMZoCXpkKKjGaAl6ZCioxmgJemQoqMZoCXpkKKjGaAl6ZCioxmgJemQoqMZoCXpkKKjGaAl6ZCioxmgJemQoqMZoCXpkKKjGZDgRe/q2wGzQYCL35L5CyaAV6aKviLFbIZ4KWpgr9YIZsNBF7UvLNoNhR4uVRIkdEM8NJUSJHRDPDSVEiR0Qzw0lRIkdEM8NJUSJHRjA3erX2LUbS5d37nccDbrmq4ZmzwHptfVAAfuwrwtqsarhkXvOsf+/hitHnLoWj9+kOAt1XVcM2Y4N2667Ni1l2/4Xi0efN+8foyEUXzNALRbRTAe2yPLBlO74zhleHtr1Z//hr3QjVcM56ZV0y5W5mZF/C2pxquGQ+8x+Zl7EHN24VquGasrbKtfXvQbWhdNVwz9HlpKqTIaIYVNpoKKTKaAV6aCikymgFemgopMpoBXpoKKTKaAV6aCikymgFemgopMpoBXpoKKTKaAV6aCikymgFemgopMpoBXpoKKTKaAV6aCikymgFemgopMpoBXpoKKTKaAV6aCikymgFemgopMpoBXpoKKTKaAV6aCikymgFemgopMpoBXpoKKTKaAV6aCikymgFemgopMpoBXpoKKTKaAV6aCikymgFemgopMpoBXpoKKTKaBQ3v0tJS7eTys26kCv5ihWwWMrxLS256+/NJ9EI1XDPAS1MFf7FCNgO8NFXwFytks5DhRc0742ZBw9skOc8qpMhoBnhpKqTIaAZ4aSqkyGgGeGkqpMhoBnhpKqTIaBY0vJPJpHZy+Vk3UgV/sUI2CxneycRNb38+iV6ohmsGeGmq4C9WyGaAl6YK/mKFbBYyvKh5Z9wsaHibJOdZhRQZzQAvTYUUGc0AL02FFBnNAC9NhRQZzQAvTYUUGc0AL02FFBnNgoYXX0afbbOQ4cVjQDNu1iN4a4eCt2UPxIwGZt5eqIZr1qOZt352qHln2yxoeJsk51mFFBnNAC9NhRQZzQAvTYUUGc0AL02FFBnNAC9NhRQZzQAvTYUUGc2ChhdPUsy2Wcjw4hm2GTcDvDRV8BcrZDPAS1MFf7FCNgsZXtS8M24WNLxNkvOsQoqMZoCXpkKKjGaAl6ZCioxmgJemQoqMZoCXpkKKjGaAl6ZCioxmgcDrborhSYrZNgsDXvdyBJ5hm3EzwEtTBX+xQjYDvDRV8BcrZLMw4EXNS1AN1ywQeP0l51mFFBnNAC9NhRQZzQAvTYUUGc0AL02FFBnNAC9NhRQZzQAvTYUUGc0CgTfnmYkGyeXFwsJCE1nwFytkszDgzXtarUFyObGw0JDe0C9WyGaAVwfgDdAM8OoAvAGahQEval6CarhmgcDrLznPKqTIaAZ4aSqkyGgGeGkqpMhoBnhpKqTIaAZ4aSqkyGg2QHhzvqJecii6DeGZDQ/evIeDig9FnzdAM8CrNwFvgGaAV28C3gDNhgcvat6ZMRsgvD36JHqhGq4Z4KWpkCKjGeClqZAioxngpamQIqMZ4KWpkCKjGRO8p+fnP3goijb3zu88DnjbVQ3XjAfe9esPRceuirb2LcofjeF1N8VqtMrs/tiMXqyQzfjKBgHw5i2HFMcN4XUvR9RYpMisTMzoxQrZjA9eMeWu33A82rx5v3hxmYjCo6NoyX8oeOVGke+C9yh5o4g+RBG867s/sD86vTOGV0bh3xEXYEtO7tyjzkhQklO1++9jG6iJ2b4/M03IZnwzr6A2nXllFNo4cXRTWpldRa/R5MJb9VR1AvByqry0yu5frFHzVuaxWQDeEM144DX1wta+PVW7DYC37FP3LQvAjGnmPTY/L2reGn1ewFv2qfuWBWAWygob4C371H3LAjCbcXifOKh/1ob38YWbku1XFq7O3+kKwMupGgq855YAb8BmgcA7mUxcEDi7sO5RZwMtGVzK+21oVcqGKXjLottHjnpERi9U9eHd2HXRbSWXtMBG/ZZIJwPTcLlHnUsX6eBS3u+hbA3eJvQGwNMg4Y2ie0ajdzxadEkLbFJ4X39A8HbUYuALX5ebJ5aOyj0PiirWwJuOKJniNH5hznFBDarCoQTewwt3vHHjgiwGHhcnvyNKKgP1UsO7cfuC2ad26pcifu2PxciFPxJbv/6XgLcHqmZlw8au0ei9NHifWEopPGe+mnBUwfs3D6gdJ5YSePXIQc32Ugpqco468P7+jfK0Nx2OcdTwqpcLvyfhfeNGzerVLnjjnXcAXn5V05pX4nvxgfrwxjWvmDMflLdZn/+a2paUnlj6879XdB7UWB6VaBxUI2JSPqfYPieOEbvOqUPtc1SteQ8rKPWsKybRqw28rygc1U4xKml+48aU7EjPuDepSVkzbeZe1LycqmbwPjQa7RDlQ17xUGijIXsinkiPJtvihUJVlg+aSwGmeHFC0SmOUttqqr7wd5buhKa6Wrfh8MKHjqv5U0L5inyh+DysXiuaN25PigIb3sOG2qsz4+g2cKoawHvh1tHoGrnxUt7UW2izlNJnzhdvn0vx3PiynFrtETGkGNa4ymnYPkcNeCV1G7er+jWB17xWbAqCU3oTeNWhYp8+TtD/oeOAl1vVpNuQWy5Uh9fAGWW2FZ4ueI9qxuXQxpdN0Xs0cw4yvJrXV+KaIi5qY3h1EaHv1nRoAeDlVDWBV8+7RHiTaTTdNvAeLYD3dX3rpiZd+xw14L3DAe8bN1rwygLYvmFTx2uYk3s3wNsHVcOyoeBurSK8+TNvAbwC2oN6u/nM64I3M/NGMb83xfCae7hElwbg5VQ17TZcuLWA3kKb0pp3Gl5V877+wOe/FvMqiofGNa8b3rTmjePx5G7O3Kxpiu8AvL1RNYP3pVFh6VBok+k2PKH7YpluQwqvXrnQ/Qd1VAzvOb2KYZ3DgrekVeaC1+42xCWEuiczfTQ5onrOiuhYGVVplbkPCICnYcIryobiBbYq8OpemPjzqPrzoGJX93kTeFVt+XXT+T1nGgwHI90FfjB7jnOa8CorbC54de8s7vPqxkLcBNY3a3rFRBS9cucr8Q1d6SJFzgEB8DRIeDd2ld2vVYE3Xh1T8+W5pIPghvevk8U4c+QX/iGB2JxD3skpfJvBa1oMmRU2Od3KnYftp4XNzVxcRwBeTlWz7zbQZ97sdxvEjGrYc8J79FxyqFGZidY6xxM0eBWV5rsNuiFmvvGwDV69M7ltA7ycqmY178uXU2veSqFxOWHdl5UH6SuR5clMD6LmZVM17TZE95C6DXWiLryF3QbPgW4Dp6oBvGLaldHsW2WAt/xT9y0LwKzDFbYCblUU2lT/RSImasGL35gTpFnHZUNRlNjU/D1k9aLgLS34jz5drJDNui4bmta83pLzrEKKjGZdwXvh1h3EmddTcp5VSJHRLJRFihrhbnotuX5przXo3F8h7LK82MEKtMoYVU1m3q7gdS83xJVt3qBzf5VIUixzsAKLFJyqBjVv7gMUgHc6AG+LqprwyucuTbR/wwZ4/cgCMAunVVY5UPN6kQVgNkB4e/RJ9EI1XDPAS1MhRUYzwEtTIUVGM8BLUyFFRjPAS1MhRUazoOF138q7uw3OUeumPufL6M5j3SmUthCc53KrnKOlKeYEOxkrKytNzEplIcPrbqK6+7zOUaudmvcYkOtYdwqlzVvnudwq52hpinnBDe/KSiMMy2WAt0jlPtadAuDNkwFeRwDeagF4a8i6ghc1b7Xghhc1r6/kPKuQIqMZ4KWpkCKjWf/gnTBHJx9gfy5WyGa9g9f17611GjXxDf1ihWzWN3jZ2RX0dvAB9udihWwGeKcC8IZiFjS8S7V/FUmVc+XAW/q18matMne4a+9e8ZTzHjyaBdcqqwOvWiGo51HlXG54Sx/oabZI4Y6cO8c+wZv3HvyZBbVIoclpBhw5bHhrmKlLOLVZFqWHKnirnYsrarzdhqHgbdWhKPzPvI9Nlq1XmHmrBWbeGrIYiLbh9V3z3qm3UPNWUqHmtUNpa8HrNdYmxfB6/QD7c3cdshngjQPwBmfWV3jvk1Xfstx6bHK3/HFSsiXgXRPjd+tjfvgn8TEijojtz/yjFizLPXdLjd6fjiSyqXNIvcYX8NLMVtoIvykW7STDq/nSMGXh/WIyrtCMKVwzX0zQqP6FxvMxNfSldOROzfbEdQ7A68msnQ6BE99+wntEISkQ/tJ2eOXsuqYgFXvvVtR+RW1rzrVAvjCz7pHtsjV1jPlhnwNlgx+zlrpb4cB7n6TJRBZeVRmclD9OxhPpchRvixfJQZpLgaR48ZiiU8vM6QTVqU6dA/D6MZt5eI9MUnqz8GryJNyKPhPx9pqF531mhrWATf9OPKbn5bm5ufgUq6urDnitlpW7VSbOUPhB5exv9LHX/74mwWy48BZ34GK/5vCeTArYqRs2NXZEgKnh1JFsSzxd8KYycy+oTj83l9C7KkNvWoRYiwXuRQp1hoKPIm9/k4+9ybeNG5sNF96StY/Yj9BtWMu7YVtWuzW8aWmRbGt4l/WmE94fmls3OVkDXu8qwKtizbQBGsy8y+nYFLxHTGkLeFtRJfC+9pRg5J//s8b1P/Vk0d6w4I2yd1h2zStmz8KaV72YrnmVLOb8PnkUal7fqhje50x/9unKl//sSjfwtl3zKsrUz7SrcCTTbbgz6RTY23G3YVluZ+BNZQbeNbOKkZ4D3QY/ZiuaRIXtcyv/9B9VL39n8LbfbVC0HdFQTZZV/+HOuIVr93nFn8tTfd5leY4MvPaJ5JEndUlin2PNLNABXpqZgvc5M+U+V0ykHYOBN15hUxOwWvua/FXeCpvazq6wyT+z8H4xWYwzR37mbxOIzTmkp8IX8JLMJLw//a6ZcTWRP/6WrCC+oy/zT79rFcOqMpagq1F1sLX/7MrTZ2NhOPAaYu9Ot7+yZn23YTlKEV+2BMl3G6bgtWRGZSZa6xwnAa8Ps0y3QcGrCdVoJi8UkXFl/GQKr73/7Mq/iFff+H5o8HqNel9GA7wkMxtegeR35B+yhnjtKTkbi0lYMnxKza1ndUmsfySTtL3fkBsB3ooBeElmNrynJHw//pbVMTtlKttTEmhTGSvEDbyZ/Wet+z3AWxBJm7fekxQtkeHssLnbbuUPcKRmdZptHuDV8KmKwIwkxfBrTyVz6nO6SFDwZvefTSfeMOBtg94K8KaLFDnXN+9fGWwFXufahnvBo8Kjc4lZrWUOOrzxxGkVubq0VSGnY30nl4HX3h8avFy/qkzBOym4uoC3oiyB91T8P/0YxyctWhWc+ubsSatsyO63u2dBwOshuyYqBW/RAYC3oszAK4iMS92Ex6cFnNaqhTjkSfMzhdde1QC8FaOEXdS8VWUrMZjW//JVzSvv3jSnJmJSxXRrlQ3pfsDbsgopbpetbGf3taf0FKzuwU6ZcVnOxvDqteS425DuB7wtq5DidpmC95Q17xqQdZEgZln54uyKbgBrXg28coe9H/C2rEKK22USXuu+S6AYL5qpCfhsevcWb3/j3+OlNTXb2vsBb5sqpLhdtmIRquE1DbCnk4l4ZSXp5qo2mZ50T1kHx/UE4G1ThRS3y/r+JMXswDvXQnT9xgBvHVnsFz68c+PxuDjpdFXZHdazGslQhRT9PTyUkXXXKvMegLeuajwuodd69M0Z1lNy6Vh5ijmPvlEvVjeLFG3Q6350B/AWqQBvE7OVFsJzigU7Ae9Mw9tz1azAi5qXYNZX1czAW+8dVIsq8Pp8Y8M1A7xFqjx4H5m7smQA8PZWBXgBbw/MAG+RCmVDr80Ab5EK8PbaDPAWqTS8985d96P3zcnC4JG5ubnrIlMliOHz4vW7H9UDP/uU2hVFP3qfHJKKOV1M2AdWhBfdhvZUswbvb2kS75V//sLvJvD+iurH/uIBPfDI3KXqcLNTx6VR9sBq8KLP26Jq1uCVDOpZV8yvl6Z8is3zai6WAz/5iKLzZ58SeJ9XjJsf9oGAl101a/CaOuBKxaN4YeBVhcC9up7QdURkqoZ7dcGgSwn7QMDLrpo1eCV1P/mImUxTeFWZ8EgyFZ9XA1bX7F5dItsHVoMXNW+LKsB7ZTKTpvCqukFVDXLbFL3XZQ+sCK/PNzZcM8BbpEq6DZXgVQeen0t7DZfGZQPg7ZEK8DrhlXWDOljf1qU1L+DtkQrwOuEVdcOfqZaDOVYWD4C3byrA64RXdYQvTY+V7bErAW/PVGR413fPzy9G0ebe+Z3HBwTvebMCZ8qGR+YAb/9UVHg3b94frX90/9a+xejYVX2GV30ZvTq8okzQy2jndavh3X8qd/qCVyTjHF+tHsTPY5trvGl34LgvGVVWDu9pSez9i5u3HIrWrz/UX3j1Y0DV4Y1buqbdYHoPnuBVyTjGix/lyEYNektStP4uZNY+uC8ZVVYOrwwx+67fcFxNwlF0mYga16CrKH2GrUk0/apaXjK14G3o7TiT9U+GyvB24p5EIbxb+/ZEp3fG8Mrw9lfL98zrOTDz1jbzqqLPvJt794jbtht6Dm/5A5gNwnfNywPv7Na80fruRfFn72veVn7dk+9uAxO8XmUhwavZVaVDr7sNPTMDvD5UVHiPzctY7H2ft2dmgNeHalZW2HpmBnh9qAAvixng9aECvCxmRfC+9azsXX1Pbr6w+rz88eLqM2//lx6JfvDst78PeKvIAK8z7E6XU1W2fJuzf1XTqdd/n8nAq/7T22rIOkPpWnGNVlkdWTMznyrAW1+WWWNwqcq+fJC3X8IrptjnFcLf/J8MvG89+6//p3bL8cg6Q/k3HaovUtSRNTPzqgK89WWtwmsg1WHBK7a/FyVVA+AtlwFeV7Q986b02vCeUXVDWjUAXsDbRNZqzfvianK/loFXTcmmakDNW0EGeDtV6W7DGecNm64bzqx+2/x7lOg2lMkAb6eqpM+r+H1+G7yybnjBTMmAt1wGeDtV2YsUL8o5NgOvqBv+N72bA7xlMsDbqUrC+wPDp2oraGrFPZzq8b6w+m/PPhN/xoC3TAZ4O1WZboMsazWwZ+Sdm9jU8J5JbuQAbwUZ4O1UlVlhkxOw5HZ19Zv/reF961mriwZ4y2SAt5kq7+ng4v3mUTJNrCp2zfYZszT8wmpSNbQEr901ixyj5Y8t9+eSAd5Gqrxn1Ir3Ww9CWuEebQnezHpFND1a4aH7/lwywNtIBXjrBuClqQAv4AW8XyXWvNP0OkeJKboDNS/gbaparR6tp9iHz4MkA7y9Ug3XDPDSVEiR0Qzw0lRIkdEM8NJUSJHRDPDSVEiR0Qzw0lRlMusOv/RJirIzuLsFZQ0228w6ttljG7ndOodZjRTr9UFoKsBbVWb1p0qfYSs7g7vXVba0YZtZx5Y1zuqYuRcpaqRYt4tHUX0V8FaVAd4qKQJeHhXgBbxDhRc1b6UUUfOyqJAioxm6DTRVoCmOfYTHHLk/D2sn4O2Talo29vMvbTjxDfHzyOwEvH1SOeD1gW4OvSF+HpmdgLdPqimZv3/gCPAC3nZVU90GBW+z0mGbKu27sbwzwEtTBZWiuc0aR03/bc/tKg1vWZ+3tXcGeGmqoFIEvOUywNsrVQV4Hx6/P3stpgYAL+DlUFWoeavCi5oX8Pa/25AH73aWfeXYn0sGeHulArx1ZIC3V6oceD83vvbNK8YaUsOqfD2+Nh1484p3/o44zhxySVYDeAFv+6pceH9TsiqZNKw+rL+y8P54QHB6bbQN3lQDeAFv+6pceMe/9Gj0qppqY1bFn6+O33VAD7z9YTULZ+FNNYAX8LavyoVXUiqgFDgqeB/WE+rnDM0//6SmNgtvqgG8gLdG0L98rc+g4BWbCsq3Pyx4lPAKWK9NroUYMNBun3nHsUacIIa37Gv25V9s788lA7ytqOiPvZgzjCPr10j+/JPipkxXCWIjhXc8dsBrFimkRp1A05f5cq/jnVV4pKg/l6whvIjiSHijniEPXlUS6BDw/uoVGuZCeNXBZUvN7sSbLVB3Fph5vaq6nXkvSWtgzLyAl6xqpeZ984qcmjen2zCONah5AW/7qtxug2oZKCjtbkM68Ko6Qg8LtC/JamSg2wB421Xl93kviab7vHplQg3oZpk6QmyamTfRAF7A274qF97fyC6oxSts6ZKbKg8kt+PxOz+t4U01gBfwtq/K/27Dq9mvMkx9t0Ecc4magMfvOvCq+W5DogG8gLd9VT689a6PQwN4AW+7KsBbRwZ4e6WahnfsA16rVUbPcXs3r9kb8yEDvL1STct8wGstUnjIcfs6SsM35kEGeHulcsgq/Sqy4sijDPDSsgO8HZgBXsDbgaolsxzIUPPSshsAGT5VwzUDvDQVUmQ0A7w0FVJkNAO8NBVSZDQDvDQVUmQ0A7w0FVJkNAO8NBVSZDQDvDQVUmQ0A7w0FVJkNAO8NBVSZDQDvDQVUmQ0A7w0FVJkNAO8NBVSZDQDvDQVUmQ0A7w0FVJkNAO8NBVSZDQDvDQVUmQ0A7w0VbAplj6xMGOfR7IT8PZJ5ZSVPys2W59HuhPw9kkFeOvIAG+vVIC3jgzw9kqFmreODPD2SjVcM8BLUyFFRjPAS1MhRUYzwEtTIUVGM8BLUyFFRjPAS1MhRUYzwEtTIUVGM8BLUyFFRjPAS1MhRUYzwEtTIUVGM8BLUyFFRjPAS1MhRUYzwEtTIUVGM8BLUyFFRrMewestLhuq2WDfWA/NAG/AXrNuBngD9pp1M8AbsNesm3HBi0CQA/Aigg3Aiwg2AC8i2AC8iGCDBd713fPzi12ZnZ6f/+ChrsyirX2dvbFj8x2+s6198x/Y35GXfGOVAOGAd/Pm/dH6Rzv6KNavPxQdu6obr0h+8J3Be39nTtrs9M7j3flVMuOA97RkqcuPXgLckdPHPt7V+9q6q6uZUMTmLd39z0v53VzlzXHVvNWy8xSdzbxbd322s7Jhc2+1/7d6ifUb/rC7siGqesWY4N3at6czr/Xd3VVre7qreWXh1dnsu757UQDcWdlQcWrjgXdzb3fsRt1N8+LydnjDJqOr4kuC2+H/LCuW10zdhk6vcGfXWN8md/n3sit4N3+7U3jvr/YZcsDbKbvyL3GHH3t3M698Y1t/0NV91P1dlg1VqyEOeCv38Xy5dXir0W2ft7s3Jm4Pu+uWV51ssMKGCDYALyLYALyIYAPwIoINwIsINgAvItgAvN3ESxcfePmXb9s+6hhCVA/A200IeB2jgJcUgLebALwtBOBtPzZ2jS76hC4bXr58NBpdI6D9xGj0jkcBLy0Ab+uxseu94j8Fr4L15cuvefnyiw9cuHUH4KUF4G09VMXwkIb3Pbp4EPyqmgHwkgLwth4PifogEthKUu8ZjXZEptbd2HUN4CUF4G09bHhVAWy6ZoCXGoC39VBlg9XnldCqsuE9rtYvonoA3tZjY9eO+IZNcSxrXdyw+QjA235YrbKXRqPRRbfpVtkO9HmJAXg5AtB6CcDLEYDXSwBejgC8XgLwIoINwIsINgAvItgAvIhgA/Aigg3Aiwg2AC8i2Ph/Rk7FzuOH36EAAAAASUVORK5CYII=)
Umieszczanie dłuższych napisów
label <- mpg %>%
summarise(
displ = max(displ),
hwy = max(hwy),
label = "Increasing engine size is \nrelated to decreasing fuel economy."
)
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
geom_text(aes(label = label), data = label, vjust = "top", hjust = "right")
![](data:image/png;base64,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)
label <- tibble(
displ = Inf,
hwy = Inf,
label = "Increasing engine size is \nrelated to decreasing fuel economy."
)
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
geom_text(aes(label = label), data = label, vjust = "top", hjust = "right")
![](data:image/png;base64,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)
Ustawianie parametrów osi
ggplot(mpg, aes(displ, hwy)) +
geom_point()
![](data:image/png;base64,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)
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
scale_y_continuous(breaks = seq(15, 40, by = 5))
![](data:image/png;base64,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)
ggplot(mpg, aes(displ, hwy)) +
geom_point() +
scale_x_continuous(labels = NULL) +
scale_y_continuous(labels = NULL)
![](data:image/png;base64,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)
oraz geometria odcinków geom_segment
presidential %>% datatable
presidential %>%
mutate(id = 33 + row_number()) %>%
ggplot(aes(start, id)) +
geom_point() +
geom_segment(aes(xend = end, yend = id)) +
scale_x_date(NULL, breaks = presidential$start, date_labels = "'%y")
![](data:image/png;base64,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)
base <- ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(colour = class))
Gdzie chcemy legendę?
base + theme(legend.position = "left")
![](data:image/png;base64,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)
base + theme(legend.position = "top")
![](data:image/png;base64,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)
base + theme(legend.position = "bottom")
![](data:image/png;base64,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)
base + theme(legend.position = "right") # the default
![](data:image/png;base64,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)
Funcja guides do pracy z legendą
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(colour = class)) +
geom_smooth(se = FALSE) +
theme(legend.position = "bottom") +
guides(colour = guide_legend(nrow = 1, override.aes = list(size = 4)))
![](data:image/png;base64,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)
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(colour = class)) +
geom_smooth(se = FALSE) +
theme(legend.position = "bottom") +
guides(colour = guide_legend(nrow = 1))
![](data:image/png;base64,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)
Geometria geom_bind2
ggplot(diamonds, aes(carat, price)) +
geom_bin2d()
![](data:image/png;base64,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)
ggplot(diamonds, aes(log10(carat), log10(price))) +
geom_bin2d()
![](data:image/png;base64,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)
wraz ze skalowaniem logarytmicznym osi
ggplot(diamonds, aes(carat, price)) +
geom_bin2d() +
scale_x_log10() +
scale_y_log10()
![](data:image/png;base64,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)
Zmiana wybieranych kolorów do mapowania zmiennych czynnikowych
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(color = drv))
![](data:image/png;base64,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)
![](data:image/png;base64,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)
Proszę zobaczyć stronę z lepszym obrazowaniem kolorów z pakietu RColorBrewer
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(color = drv)) +
scale_colour_brewer(palette = "Set2")
![](data:image/png;base64,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)
presidential %>%
mutate(id = 33 + row_number()) %>%
ggplot(aes(start, id, colour = party)) +
geom_point() +
geom_segment(aes(xend = end, yend = id)) +
scale_colour_manual(values = c(Republican = "red", Democratic = "blue"))
![](data:image/png;base64,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)
set.seed(2020)
df <- tibble(
x = rnorm(10000),
y = rnorm(10000)
)
Układ współrzędnych (nierówne skale na osich i co z tym zrobić)
ggplot(df, aes(x, y)) +
geom_hex()
![](data:image/png;base64,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)
ggplot(df, aes(x, y)) +
geom_hex() +
coord_fixed()
![](data:image/png;base64,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)
Trochę poprawy kolorów wypełnienia z pakietem viridis
ggplot(df, aes(x, y)) +
geom_hex() +
viridis::scale_fill_viridis() +
coord_fixed()
![](data:image/png;base64,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)
Zoom na rysunek, czyli wyświetlamy fragment rysunku
ggplot(mpg, mapping = aes(displ, hwy)) +
geom_point(aes(color = class)) +
geom_smooth() +
coord_cartesian(xlim = c(5, 7), ylim = c(10, 30))
![](data:image/png;base64,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)
A to robi troszeczkę coś innego
mpg %>%
filter(displ >= 5, displ <= 7, hwy >= 10, hwy <= 30) %>%
ggplot(aes(displ, hwy)) +
geom_point(aes(color = class)) +
geom_smooth()
![](data:image/png;base64,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)
Zoom na dane, czyli ograniczenie wyświetlanych danych (filtrowanie na różne sposoby)
suv <- mpg %>% filter(class == "suv")
compact <- mpg %>% filter(class == "compact")
ggplot(suv, aes(displ, hwy, colour = drv)) +
geom_point()
![](data:image/png;base64,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)
ggplot(compact, aes(displ, hwy, colour = drv)) +
geom_point()
![](data:image/png;base64,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)
x_scale <- scale_x_continuous(limits = range(mpg$displ))
y_scale <- scale_y_continuous(limits = range(mpg$hwy))
col_scale <- scale_colour_discrete(limits = unique(mpg$drv))
ggplot(suv, aes(displ, hwy, colour = drv)) +
geom_point() +
x_scale +
y_scale +
col_scale
![](data:image/png;base64,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)
ggplot(compact, aes(displ, hwy, colour = drv)) +
geom_point() +
x_scale +
y_scale +
col_scale
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAArwAAAGwCAMAAAB8TkaXAAAA0lBMVEUAAAAAADoAAGYAOpAAZrYAujgzMzM6AAA6ADo6AGY6OgA6OmY6OpA6kNtNTU1NTW5NTY5NbqtNjshhnP9mAABmADpmOgBmtv9uTU1uTW5uTY5ubo5ubqtuq+SOTU2OTW6OTY6Obk2ObquOyP+QOgCQOjqQkDqQkGaQtpCQ29uQ2/+rbk2rbm6rbo6rjk2r5OSr5P+2ZgC2///Ijk3I///bkDrb/9vb///kq27k///r6+vy8vL4dm3/tmb/yI7/25D/5Kv//7b//8j//9v//+T///8cJMk1AAAACXBIWXMAAA7DAAAOwwHHb6hkAAATCElEQVR4nO2dD3cT1xXEBTEQmqLE4AZCMJCaNm2cNgbsxm6NLcve7/+VsiubhsCiP/P09s5czT0n7QncYWc8P5anNVJGjccjOqNoAx4POobXIzuG1yM7htcjO4bXIzuG1yM7K8L734/n0x+ZP6vuZxDwOQqNYHiVBHyODC+Uiq8XreaDBIYX2c8g4HNkeKFUfL1oNR8kMLzIfgYBn6PNhNfj4RnfebVuW0GCFHfe4lR8vWg1HyQwvMh+BgGfI8MLpeLrRav5IIHhRfYzCPgcGV4oFV8vWs0HCQwvsp9BwOfI8EKp+HrRaj5IsMnwnp6eVvgqqAj4HBne5VOdnv6fXr5etJoPEhjedX8VVAR8jgzv8qkMr7pgg+H1mVddsMnw4vsZBHyODC+Uiq8XreaDBIYX2c8g4HNkeKFUfL1oNR8kMLzIfgYBnyPDC6Xi60Wr+SCB4UX2Mwj4HBleKBVfL1rNBwkML7KfQcDnyPBCqfh60Wo+SGB4kf0MAj5HhhdKxdeLVvNBAsOL7GcQ8DkyvFAqvl60mg8SGF5kP4OAz5HhhVLx9aLVfJDA8CL7GQR8jgwvlIqvF63mgwSGF9nPIOBzZHihVHy9aDUfJDC8yH4GAZ8jwwul4utFq/kggeFF9jMI+BwZXigVXy9azQcJDC+yn0HA58jwQqn4etFqPkhgeJH9DAI+R4YXSsXXi1bzQQLDi+xnEPA5MrxQKr5etJoPEhheZD+DgM+R4YVS8fWi1XyQwPAi+xkEfI4ML5SKrxet5oMEhhfZzyDgc2R4oVR8vWg1HyQwvMh+BgGfo02A92p/r2mmz8fbJ4a3QMDnaBPgPR7vzQA+fmh4CwR8jjYA3sn3P+w105eHzeTpoeHFBXyO8sN79fMv7V138uykmb44aP/9bjvru7DHUzpz4D3e7Y4MZ9vv4e2m+Lck301F67YVJFC787a33Ks/3HkNLyjgc5Qe3uNxN7s+8xYL+Bylh7e5flR2tb/rpw1lAj5HmwKvn/MWC/gcbQK8n05xKr5etJoPEhheZD+DgM+R4YVS8fWi1XyQwPAi+xkEfI4ML5SKrxet5oMEhhfZzyDgc2R4oVR8vWg1HyQwvMh+BgGfI8MLpeLrRav5IIHhRfYzCPgcGV4oFV8vWs0HCQwvsp9BwOfI8EKp+HrRaj5IYHiR/QwCPkeGF0rF14tW80ECw4vsZxDwOTK8UCq+XrSaDxIYXmQ/g4DPkeGFUvH1otV8kMDwIvsZBHyODC+Uiq8XreaDBIYX2c8g4HNkeKFUfL1oNR8kMLzIfgYBnyPDC6Xi60Wr+SDB5sF7enpa9augIuBzZHgXmTw97aGXrxet5oMEhnfdXwUVAZ8jw7vIpOEd6gJaESTg9Zl3qAtoRdCAd8VQaQV8jgwvlIqvF63mgwSGF9nPIOBzZHihVHy9aDUfJDC8yH4GAZ8jwwul4utFq/kggeFF9jMI+BwZXigVXy9azQcJDC+yn0HA58jwQqn4etFqPkhgeJH9DAI+R4YXSsXXi1bzQQLDi+xnEPA5MrxQKr5etJoPEhheZD+DgM+R4YVS8fWi1XyQYPPg9V9GH+gCWhEk4PXbgIa6gFaEMHhXmRm89X55z8aP77xat60gQYo770qpfOYd6AJaETTgXTFUWgGfI8MLpeLrRav5IIHhRfYzCPgcGV4oFV8vWs0HCQwvsp9BwOfI8EKp+HrRaj5IYHiR/QwCPkeGF0rF14tW80ECw4vsZxDwOTK8UCq+XrSaDxIYXmQ/g4DPkeGFUvH1otV8kMDwIvsZBHyODC+Uiq8XreaDBIYX2c8g4HNkeKFUfL1oNR8kMLzIfgYBnyPDuzCV30kx0AW0IkjA6/ewDXUBrQiGV0nA58jwLjJpeIe6gFYECXh95h3qAloRNOBdMVRaAZ8jwwul4utFq/kggeFF9jMI+BwZXigVXy9azQcJDC+yn0HA58jwQqn4etFqPkhgeJH9DAI+R4YXSsXXi1bzQQLDi+xnEPA5MrxQKr5etJoPEgwE77vbbwwvl4DPkeGFUvH1otV8kMDwIvsZBHyOGOG92Bnd+vH2m/P7fx/d+tOD9geOFpJseLWaDxLUh/di50H7Twvvva2W2y9+bS5fPVhEo+HVaj5IUB/e2YnhqIP3cdOcf/nT7B/DGy7gc0QIb3ezbc7vv5kx2911Zz9ABW/f30+fv8ZXpOEtEywBb/Pui/8sPjUMDG/vO4Pmr/EVaXjLBP1kzY4N7f9cw3vxl3/cX/zgwfBqNR8kGOIF29b1C7bro+7r0dZiGg2vVvNBggEflV3D+270mA1en3lFBQN9k2LF8dMGreaDBIYX2c8g4HNkeKFUfL1oNR8kMLzIfgYBnyPDC6Xi60Wr+SCBHLxn4/E3h00zfT7ePjG8BQI+R+nhnTw9bI4fNlf7e93/IfD2PBdb8lHZkhcQEfA5IoT3f/0DwnsD8PTl4Yzj1eHt+Y7Ekt+kWPICKgI+RxsBb3vLnTw7aaYvDtp/udvO3O2PZkbqwh/yeLpZN7yTJ18fNGfb7+HtZpXfYb7zDnUBrQjDwNt01P5+510VXp95h7qAVoSh4G3e7uFn3lVDpRXwOUoP78154Wp/F33asGKotAI+R+nhbY7H4/bM6+e8xQI+R/nh7ZviVHy9aDUfJDC8yH4GAZ8jOXgvX4163tJmeLWaDxIMCe/p6ekn8J73vqNt4P+UVd+jsrlrGZ6t8Tlihnf2vYCP4O3eItTzKQ4fwnux07cBw7vkNynmrqX4rgafIzV4l7rzvh6N5n/UwyomDe9QF9CKUAve2Q2672hseAsEfI6Y4S0683b4fvbz+VZK5TPvQBfQirAI3r6nDcvBezTqPu3h9ecOD8Wp+HrRaj5IIADv5avR9Wc9fPZDfotT8fWi1XyQgB/e7tN2+n9lw1si4HMkB2///BHehZ+xU5yKrxet5oME/PDOjg1zXq0ZXkzA5ygjvDcEz6G3OBVfL1rNBwk04H03mnt0KE11586d9X0VVAR8jjLC2x4bFnyWemGqO3dWppevSMNbJqgD78XOws9ELUxleEUF/PB2f7fBd971C/gcpYS3ac7v+cy7bgGfo6TwtvPaTxvWK+BzlBHe9rbbzZr+VtmqodIK+BwlhPdiZx63hhcV8DlKCO8SU5yKrxet5oMEAvDeHBt85l2vgM9RQngvXy38D7cVp+LrRav5IAEBvJevPnkMNuw3KXoflc19J0XBs7VlP+dPqvkgwZDwtpX3wXv06TPcP955I77DNvc9bAXf1Vj6E1almg8SDAjvrPJP4T3/6tu58H7+DRSGt0TAx6IevJd/++ecY0P3vsubqfeCzfCKCsLhPXqw4My7xJSm8plXUxB95j3/86/x8BL2otV8kCD6acNR77d+Da9W80GCaHibhY/KDG8dAZ8jwwul4utFq/kgAQG8PWN4tZoPEmwevD1PCtb70WNLfvJZwRXWIuBj0fAuMtnzjHa9H/q45GdOFlxhPQI+Fg3vIpOGd6gLaEUwvJ/71QxvFcHGwesz71AX0IqgAe+KodIK+BwZXigVXy9azQcJDC+yn0HA58jwQqn4etFqPkhgeJH9DAI+R4YXSsXXi1bzQYLNg7fvL5Kv+lWY+5fRe3+ymfuzPSPVfJBg4+DtfQvPil+FuW8D6v/JZu7P9oxU80GCFPCuMjN6av4a8y+wjst7BpvfeX306JHvvL7zrk8w4J330aMP6b352fOvvu15W7DPvFrNBwnC4b3X95Eiftqg1XyQIBzeJf/D2YZ33QI+R8zw9p55DW+UgM8RNbx9TxsMb5SAz5HhhVLx9aLVfJDA8CL7GQR8juTg7R9peGM+eszwlgkMbzdBH/poeMsEhrcbwzuYwPAi+4aXQmB4kX2feSkEhhfZzyDgc0QILzKGV6v5IIHhRfYzCPgcGV4oFV8vWs0HCQwvsp9BwOfI8EKp+HrRaj5IYHiRfT8qoxAYXmTf36SgEBheZN/wUggML7JveCkEhhfZ95mXQmB4kf0MAj5HhhdKxdeLVvNBAsOL7GcQ8DkyvFAqvl60mg8SGF5kP4OAz5HhhVLx9aLVfJDA8CL7GQR8jgwvlIqvF63mgwSGF9nPIOBzZHihVHy9aDUfJDC8yH4GAZ8jwwul4utFq/kggeFF9jMI+BwZXigVXy9azQcJDC+yn0HA58jwQqn4etFqPkhgeJH9DAI+R4YXSsXXi1bzQQLDi+xnEPA5MrxQKr5etJoPEhheZD+DgM+R4YVS8fWi1XyQwPAi+xkEfI4ML5SKrxet5oMEhhfZzyDgc2R4oVR8vWg1HySQg3fyZDzea5rp8/H2ieEtEPA5Sg/v9MVBM/nu4Gp/rzl+aHgLBHyO0sN71hH7dm/68rCZPD00vLiAz1F6eLtp776TZyezm3DT3G1nfRf2eEpnLrxX+7vN2fZ7eLsp/i3Jd1PRum0FCfTuvNPnu+3LtmeGt1DA5yg/vJMnex3BPvOWCvgcpYf3mt3Z0cFPG4oEfI7Sw3s87mbPz3mLBXyO0sPbO8Wp+HrRaj5IYHiR/QwCPkeGF0rF14tW80ECw4vsZxDwOTK8UCq+XrSaDxIYXmQ/g4DPkeGFUvH1otV8kMDwIvsZBHyODC+Uiq8XreaDBIYX2c8g4HNkeKFUfL1oNR8kMLzIfgYBnyPDC6Xi60Wr+SCB4UX2Mwj4HBleKBVfL1rNBwkML7KfQcDnyPBCqfh60Wo+SGB4kf0MAj5HhhdKxdeLVvNBAsOL7GcQ8DkyvFAqvl60mg8SGF5kP4OAz5HhhVLx9aLVfJDA8CL7GQR8jgwvlIqvF63mgwSGF9nPIOBzZHihVHy9aDUfJDC8yH4GAZ8jwwul4utFq/kggeFF9jMI+BwZXigVXy9azQcJDC+yn0HA58jwQqn4etFqPkhgeJH9DAI+R4YXSsXXi1bzQQLDi+xnEPA5MrxQKr5etJoPEhheZD+DgM+R4YVS8fWi1XyQwPAi+xkEfI4ML5SKrxet5oMEhhfZzyDgc2R4oVR8vWg1HyQwvMh+BgGfI8MLpeLrRav5IIHhRfYzCPgcGV4oFV8vWs0HCQwvsp9BwOdoM+H1eHjGd16t21aQIMWdtzgVXy9azQcJDC+yn0HA58jwQqn4etFqPkhgeJH9DAI+R4YXSsXXi1bzQQLDi+xnEPA5MrxQKr5etJoPEhheZD+DgM+R4YVS8fWi1XyQwPAi+xkEfI4ML5SKrxet5oMEhhfZzyDgc2R4oVR8vWg1HyQwvMh+BgGfI8MLpeLrRav5IIHhRfYzCPgcGV4oFV8vWs0HCQwvsp9BwOfI8EKp+HrRaj5IYHiR/QwCPkeGF0rF14tW80ECw4vsZxDwOTK8UCq+XrSaDxIYXmQ/g4DPkeGFUvH1otV8kMDwIvsZBHyODC+Uiq8XreaDBIYX2c8g4HNkeKFUfL1oNR8kMLzIfgYBnyPDC6Xi60Wr+SCB4UX2Mwj4HBleKBVfL1rNBwkML7KfQcDnyPBCqfh60Wo+SGB4kf0MAj5HhhdKxdeLVvNBAsOL7GcQ8DkyvFAqvl60mg8SGF5kP4OAz5HhhVLx9aLVfJDA8CL7GQR8jgwvlIqvF63mgwSGF9nPIOBzZHihVHy9aDUfJDC8yH4GAZ8jwwul4utFq/kggeFF9jMI+BxtJrzFc9dXILhAhgiN4aW8giMsN4aX8AqOsNwYXsIrOMJyMzS8Hs/axvB6ZMfwemTH8Hpkx/B6ZGdQeCdPxuO9qlc4G4+/Oax6haa52q+a4XhcO8PV/vjrg4q/fpegdtGzGRLe6YuDZvJdzS/b5Olhc/yw4gW6Oa7by9vqrbdXONs+qXuN6hfoZkh4zzqsqnfTAVz11//+h5oRrn6u+bu7m+nL2n82Xd+n6s/QZ976qSrfea9+/qXqsWH6vPYfuZNn/657bGiql3AzA8N7tb9b9wKTJ5V7Od6te+btzlV1776TJ3stwFX/VB/mxjswvNPnldltan/h2tYrv2DrpurZqgO3Ml2DnHgHf9owwEvQus1fv5Ku/VuwaoTpX6vD+7b+PaqbIeGtz273O776H1l177xdhKt/VX1J9bb2saH+i87rGRLeAZ7/tZeo/VpkgOe8lSO0rwnrPkge6Mjr77B5dMfwemTH8Hpkx/B6ZMfwemTH8Hpkx/CuZd7dfnP+5U8f/2jPD3nWOIZ3LdPC2/OjhrfuGN61jOGNGMNbPBc7o1s/Xh8bzu+NRqPHLbQ/jkZf/Gp4K4/hLZ2LnQftPzN4Z7Ce33t8fu/2m8tXW4a38hje0pmdGI6u4b1/fXho+Z2dGQxv3TG8pXPUng+aFtuO1Nej0VZzc9a92HlseOuO4S2dD+GdHYBvnpoZ3upjeEtndmz44DlvB+3s2HC/79GvZ41jeEvnYmfr/Qu2GcfdWdcv2AYZw1s8HzwqezcajW79dP2obMvPeWuP4a0whnaYMbwVxvAOM4a3whjeYcbwemTH8Hpkx/B6ZMfwemTH8Hpkx/B6ZMfwemTnN0oh63pgNu/sAAAAAElFTkSuQmCC)
Różne predefiniowane sposoby wyświetlania rysunków, czyli theme_XX
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(color = class)) +
geom_smooth(se = FALSE) +
theme_bw()
![](data:image/png;base64,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)
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(colour = class)) +
geom_smooth(se = FALSE) +
labs(
title = "Fuel efficiency generally decreases with engine size",
subtitle = "Two seaters (sports cars) are an exception because of their light weight",
caption = "Data from fueleconomy.gov",
x = "Engine displacement (L)",
y = "Highway fuel economy (mpg)",
colour = "Car type"
)
![](data:image/png;base64,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)
Zapisywanie rysunku do zmiennych globalnych
rysunek <- ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(colour = class)) +
geom_smooth(se = FALSE) +
labs(
title = "Fuel efficiency generally decreases with engine size",
subtitle = "Two seaters (sports cars) are an exception because of their light weight",
caption = "Data from fueleconomy.gov",
x = "Engine displacement (L)",
y = "Highway fuel economy (mpg)",
colour = "Car type"
)
Jakich blibliotek możemy jeszcze użyć
- Predefiniowane tematy
- Pomoc w modyfikowaniu parametr ów rysunku
- ggThemeAssist i ggThemeAssistGadget
- Dla map
itd.
Praca domowa z dnia 17 marca 2020r. (do wykładu)
Wypisz do 20 biblioteki ze strony projekty R, które rozszerzają działania pakietu ggplot2.
---
title: "Wprowadzenie do  środowiska *R* - grafika z ggplot2"
author:
- Jarosław Kotowicz:
    correspondence: no
    email: j.kotowicz@uwb.edu.pl
    institute: IIUwB
date: "17 marca 2020"
output:
  html_notebook:
    fig_caption: yes
    highlight: haddock
    number_sections: yes
    pandoc_args:
    - --lua-filter=scholarly-metadata.lua
    - --lua-filter=author-info-blocks.lua
    theme: cerulean
    toc: yes
bibliography: InfEko.bib
institute:
- IIUwB: Zakład Bioinformatyki, Instytut Informatyki, Uniwersytet w Białymstoku
csl: big-data-and-information-analytics.csl
always_allow_html: yes
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

# Książki i inne rzeczy

1. [R for Data Science](https://r4ds.had.co.nz/index.html)
2. [ggplot2: Elegant Graphics for Data Analysis](https://ggplot2-book.org/)
3. [Colors in R](http://www.stat.columbia.edu/~tzheng/files/Rcolor.pdf)

# Praca ggplot2

## Czyścimy środowisko
```{r czyszczenie_danych, echo=TRUE}
rm(list=ls())
```

# R for Data Science (rozdział 28)
```{r pakiet_tidyverse}
library(tidyverse)
```

Rysunki w oparciu o kody z książki **R for Data Science**.

## Wykonywanie map (prostych)

```{r message=FALSE, warning=FALSE}
library(maps)
```

### Rozciągnięcie mapy i zapobieganie rozciągnięciu
```{r}
nz <- map_data("nz")

ggplot(nz, aes(long, lat, group = group)) +
  geom_polygon(fill = "white", colour = "black")
```

```{r}
ggplot(nz, aes(long, lat, group = group)) +
  geom_polygon(fill = "white", colour = "black") +
  coord_quickmap()
```

### Mapa świata
```{r}
world <- map_data("world")

ggplot(world, aes(long, lat, group = group)) +
  geom_polygon(fill = "white", colour = "black") +
  coord_quickmap()
```
## Trochę wykresów ze se statystyki

```{r}
bar <- ggplot(data = diamonds) + 
  geom_bar(
    mapping = aes(x = cut, fill = cut), 
    show.legend = FALSE,
    width = 1
  ) + 
  theme(aspect.ratio = 1) +
  labs(x = NULL, y = NULL)
```

### Słupkowe
```{r}
bar
```

```{r}
bar + coord_flip()
```

### Kołowe
```{r}
bar + coord_polar()
```
## Estetyka wykresów (co dorobić do wykresu, aby był czytelny)

### Tytuł
```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(color = class)) +
  geom_smooth(se = FALSE) +
  labs(title = "Fuel efficiency generally decreases with engine size")
```
### Podtytuł i podpis
```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(color = class)) +
  geom_smooth(se = FALSE) +
  labs(
    title = "Fuel efficiency generally decreases with engine size",
    subtitle = "Two seaters (sports cars) are an exception because of their light weight",
    caption = "Data from fueleconomy.gov"
  )
```

### Osie

```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(colour = class)) +
  geom_smooth(se = FALSE) +
  labs(
    title = "Fuel efficiency generally decreases with engine size",
    subtitle = "Two seaters (sports cars) are an exception because of their light weight",
    caption = "Data from fueleconomy.gov",
    x = "Engine displacement (L)",
    y = "Highway fuel economy (mpg)",
    colour = "Car type"
  )
```
### Jak używać symboli i wzorów  np. w nazwach osi
```{r}
set.seed(2020)
df <- tibble(
  x = runif(10),
  y = runif(10)
)
```

```{r}
ggplot(df, aes(x, y)) +
  geom_point() +
  labs(
    x = quote(sum(x[i] ^ 2, i == 1, n)),
    y = quote(alpha + beta + frac(delta, theta))
  )
```

### Umieszczanie textu na rysunku

```{r}
best_in_class <- mpg %>%
  group_by(class) %>%
  filter(row_number(desc(hwy)) == 1)

ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(colour = class)) +
  geom_text(aes(label = model), data = best_in_class)
```

#### Lepszy sposób umieszczania textu na rysunku

```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(colour = class)) +
  geom_label(aes(label = model), data = best_in_class, nudge_y = 2, alpha = 0.5)
```

#### Pakiet **ggrepel** i jego warstwa *geom_label_repel* - jeszcze lepszy sposób umieszczania textu na rysunku

```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(colour = class), position = "jitter") +
  geom_point(size = 3, shape = 1, data = best_in_class) +
  ggrepel::geom_label_repel(aes(label = model), data = best_in_class)
```

#### Text na rysunku zamiast legendy do niego plus funkcja **theme**
```{r}
class_avg <- mpg %>%
  group_by(class) %>%
  summarise(
    displ = median(displ),
    hwy = median(hwy)
  )

ggplot(mpg, aes(displ, hwy, colour = class)) +
  ggrepel::geom_label_repel(aes(label = class),
                            data = class_avg,
                            size = 6,
                            label.size = 0,
                            segment.color = NA
  ) +
  geom_point() +
  theme(legend.position = "none")
```
#### Umieszczanie dłuższych napisów 
```{r}
label <- mpg %>%
  summarise(
    displ = max(displ),
    hwy = max(hwy),
    label = "Increasing engine size is \nrelated to decreasing fuel economy."
  )

ggplot(mpg, aes(displ, hwy)) +
  geom_point() +
  geom_text(aes(label = label), data = label, vjust = "top", hjust = "right")
```

```{r}
label <- tibble(
  displ = Inf,
  hwy = Inf,
  label = "Increasing engine size is \nrelated to decreasing fuel economy."
)

ggplot(mpg, aes(displ, hwy)) +
  geom_point() +
  geom_text(aes(label = label), data = label, vjust = "top", hjust = "right")
```
### Ustawianie parametrów osi

```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point()
```

```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point() +
  scale_y_continuous(breaks = seq(15, 40, by = 5))
```

```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point() +
  scale_x_continuous(labels = NULL) +
  scale_y_continuous(labels = NULL)
```
####  oraz geometria odcinków *geom_segment* 

```{r message=FALSE, warning=FALSE}
library(DT)
```

```{r}
presidential %>% datatable
```

```{r}
presidential %>%
  mutate(id = 33 + row_number()) %>%
  ggplot(aes(start, id)) +
  geom_point() +
  geom_segment(aes(xend = end, yend = id)) +
  scale_x_date(NULL, breaks = presidential$start, date_labels = "'%y")
```

```{r}
base <- ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(colour = class))
```

### Gdzie chcemy legendę?

```{r}
base + theme(legend.position = "left")
```

```{r}
base + theme(legend.position = "top")
```

```{r}
base + theme(legend.position = "bottom")
```

```{r}
base + theme(legend.position = "right") # the default
```

#### Funcja *guides* do pracy z legendą
```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(colour = class)) +
  geom_smooth(se = FALSE) +
  theme(legend.position = "bottom") +
  guides(colour = guide_legend(nrow = 1, override.aes = list(size = 4)))
```

```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(colour = class)) +
  geom_smooth(se = FALSE) +
  theme(legend.position = "bottom") +
  guides(colour = guide_legend(nrow = 1))
```

### Geometria *geom_bind2*
```{r}
ggplot(diamonds, aes(carat, price)) +
  geom_bin2d()
```

```{r}
ggplot(diamonds, aes(log10(carat), log10(price))) +
  geom_bin2d()
```
#### wraz ze skalowaniem logarytmicznym osi
```{r}
ggplot(diamonds, aes(carat, price)) +
  geom_bin2d() + 
  scale_x_log10() + 
  scale_y_log10()
```
### Zmiana wybieranych kolorów do mapowania zmiennych czynnikowych
```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(color = drv))
```

```{r}
library(RColorBrewer)
```

```{r}
display.brewer.all()
```

[Proszę zobaczyć stronę z lepszym obrazowaniem kolorów z pakietu RColorBrewer](https://rdrr.io/cran/RColorBrewer/man/ColorBrewer.html "ColorBrewer: ColorBrewer palette")
```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(color = drv)) +
  scale_colour_brewer(palette = "Set2")
```

```{r}
presidential %>%
  mutate(id = 33 + row_number()) %>%
  ggplot(aes(start, id, colour = party)) +
  geom_point() +
  geom_segment(aes(xend = end, yend = id)) +
  scale_colour_manual(values = c(Republican = "red", Democratic = "blue"))
```

```{r}
set.seed(2020)
df <- tibble(
  x = rnorm(10000),
  y = rnorm(10000)
)
```

### Układ współrzędnych (nierówne skale na osich i co z tym zrobić)

```{r}
ggplot(df, aes(x, y)) +
  geom_hex()
```

```{r}
ggplot(df, aes(x, y)) +
  geom_hex() +
  coord_fixed()
```

#### Trochę poprawy kolorów wypełnienia z pakietem **viridis**
```{r}
ggplot(df, aes(x, y)) +
  geom_hex() +
  viridis::scale_fill_viridis() +
  coord_fixed()
```
### Zoom na rysunek, czyli wyświetlamy fragment rysunku
```{r}
ggplot(mpg, mapping = aes(displ, hwy)) +
  geom_point(aes(color = class)) +
  geom_smooth() +
  coord_cartesian(xlim = c(5, 7), ylim = c(10, 30))
```
##### A to robi troszeczkę coś innego

```{r}
mpg %>%
  filter(displ >= 5, displ <= 7, hwy >= 10, hwy <= 30) %>%
  ggplot(aes(displ, hwy)) +
  geom_point(aes(color = class)) +
  geom_smooth()
```
### Zoom na dane, czyli ograniczenie wyświetlanych danych (filtrowanie na różne sposoby)
```{r}
suv <- mpg %>% filter(class == "suv")
compact <- mpg %>% filter(class == "compact")
```

```{r}
ggplot(suv, aes(displ, hwy, colour = drv)) +
  geom_point()
```

```{r}
ggplot(compact, aes(displ, hwy, colour = drv)) +
  geom_point()
```

```{r}
x_scale <- scale_x_continuous(limits = range(mpg$displ))
y_scale <- scale_y_continuous(limits = range(mpg$hwy))
col_scale <- scale_colour_discrete(limits = unique(mpg$drv))
```

```{r}
ggplot(suv, aes(displ, hwy, colour = drv)) +
  geom_point() +
  x_scale +
  y_scale +
  col_scale
```

```{r}
ggplot(compact, aes(displ, hwy, colour = drv)) +
  geom_point() +
  x_scale +
  y_scale +
  col_scale
```
### Różne predefiniowane sposoby wyświetlania rysunków, czyli **theme_XX**

```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(color = class)) +
  geom_smooth(se = FALSE) +
  theme_bw()
```

```{r}
ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(colour = class)) +
  geom_smooth(se = FALSE) +
  labs(
    title = "Fuel efficiency generally decreases with engine size",
    subtitle = "Two seaters (sports cars) are an exception because of their light weight",
    caption = "Data from fueleconomy.gov",
    x = "Engine displacement (L)",
    y = "Highway fuel economy (mpg)",
    colour = "Car type"
  )
```

### Zapisywanie rysunku do zmiennych globalnych
```{r}
rysunek <- ggplot(mpg, aes(displ, hwy)) +
  geom_point(aes(colour = class)) +
  geom_smooth(se = FALSE) +
  labs(
    title = "Fuel efficiency generally decreases with engine size",
    subtitle = "Two seaters (sports cars) are an exception because of their light weight",
    caption = "Data from fueleconomy.gov",
    x = "Engine displacement (L)",
    y = "Highway fuel economy (mpg)",
    colour = "Car type"
  )
```


# Jakich blibliotek możemy jeszcze użyć

1. Predefiniowane tematy
  - **ggthemes**
  - **hrbrthemes**
2. Pomoc w modyfikowaniu parametr ów rysunku
  - **ggThemeAssist** i *ggThemeAssistGadget*
3. Dla map
  - **ggmaps**

itd.


# Praca domowa z dnia 17 marca 2020r. (do wykładu)
Wypisz do 20 biblioteki ze [strony projekty R](https://cran.r-project.org), które rozszerzają działania pakietu **ggplot2**.
