diff --git a/your-code/main.ipynb b/your-code/main.ipynb index dbe4405..f9bd96c 100755 --- a/your-code/main.ipynb +++ b/your-code/main.ipynb @@ -11,12 +11,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Libraries\n", - "import numpy as np" + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd" ] }, { @@ -30,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -53,11 +55,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# Method 1" + "plt.plot(x,y)\n", + "plt.show()" ] }, { @@ -69,11 +83,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# Method 2" + "plot_options, (chart_1, chart_2) = plt.subplots(nrows=1, ncols=2)\n", + "chart_1.bar(x,y)\n", + "chart_2.bar(x,z)\n", + "\n", + "plt.show()" ] }, { @@ -88,11 +117,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here" + "plot_options, (chart_1, chart_2) = plt.subplots(nrows=1, ncols=2, figsize=(10,5))\n", + "chart_1.bar(x,y)\n", + "chart_1.set_title('Chart 1')\n", + "chart_2.bar(x,z)\n", + "chart_2.set_title('Chart 2')\n", + "plt.show()" ] }, { @@ -105,11 +150,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here" + "y1 = x**2\n", + "y2 = np.exp(x)\n", + "\n", + "plt.plot( y1, color= 'g')\n", + "plt.plot( y2, color= 'b') \n", + "\n", + "plt.show()" ] }, { @@ -121,11 +183,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here" + "plt.plot( y1, color= 'g', label= 'y1')\n", + "plt.plot( y2, color= 'b', label= 'y2')\n", + "plt.legend()\n", + "plt.show()" ] }, { @@ -140,11 +216,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Date', 'Calorie burned', 'Steps', 'Distance', 'Floors',\n", + " 'Minutes Sedentary', 'Minutes Lightly Active', 'Minutes Fairly Active',\n", + " 'Minutes Very Active', 'Activity Calories', 'MinutesOfSleep',\n", + " 'MinutesOfBeingAwake', 'NumberOfAwakings', 'LengthOfRestInMinutes',\n", + " 'Distance_miles', 'Days', 'Days_encoded', 'Work_or_Weekend',\n", + " 'Hours Sleep', 'Sleep efficiency', 'Yesterday_sleep',\n", + " 'Yesterday_sleep_efficiency', 'Months', 'Months_encoded'],\n", + " dtype='object')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "fitbit = pd.read_csv('Fitbit2.csv')\n", + "fitbit.columns" ] }, { @@ -167,15 +262,59 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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/w15SUqLy8nKlpqaa20JDQ9W/f39t3LhRklRUVKSamhqvGqfTqcTERLNm06ZNstvtZliXpD59+shut3vVJCYmmmFdktLS0lRVVaWioqJTti83N9f8iL3dbld8fLz/Og8AAAAAgB/5NbCXl5dLkuLi4ry2x8XFmfvKy8sVEhKiyMhInzWxsbF1Xj82Ntar5uSfExkZqZCQELPmZLNnz5bH4zEfpaWlP6OXAAAAAAA0vOCGeFHbSR/zMgyjzraTnVxzqvqfU/NjoaGhCg0N9dkOAAAAAACswK8r7A6HQ5LqrHBXVFSYq+EOh0PV1dVyu90+a/bv31/n9Q8cOOBVc/LPcbvdqqmpqbPyDgAAAABAU+PXwN6xY0c5HA6tXbvW3FZdXa3169erb9++kqSkpCS1bt3aq6asrEw7duwwa1JSUuTxeLR161azZsuWLfJ4PF41O3bsUFlZmVmzZs0ahYaGKikpyZ/dAgAAAACg0Z3xR+IPHz6sr776ynxeUlIil8ulqKgodejQQTk5OZo3b546deqkTp06ad68eQoLC1NmZqYkyW63a/z48Zo6daqio6MVFRWladOmqWvXrho8eLAkqXPnzho6dKiys7O1ePFiSdKECROUnp6uhIQESVJqaqq6dOmirKwsPfroo/r22281bdo0ZWdnN40rvgMAAAAA4MMZB/aPP/5YAwcONJ/fe++9kqQxY8Zo6dKlmjFjho4dO6ZJkybJ7XYrOTlZa9asUbt27cxjFi1apODgYI0cOVLHjh3ToEGDtHTpUgUFBZk1+fn5mjJlink1+YyMDK97vwcFBendd9/VpEmT1K9fP7Vt21aZmZl67LHHznwUAAAAAACwmLO6D3tTdyb3v7ME7tmKn6slzB2J+yH7wtj4xvjUj/uw+8bcqR//pgPAKQXsPuwAAAAAAMA/COwAAAAAAFgQgR0AAAAAAAsisAMAAAAAYEFnfJV4AAAAALAkLuiIZoYVdgAAAAAALIgVdgAAAFgLq6QAIIkVdgAAAAAALInADgAAAACABfGReDQffHwOAAAAQDPCCjsAAAAAABZEYAcAAAAAwIII7AAAAAAAWBCBHQAAAAAACyKwAwAAAABgQQR2AAAAAAAsiMAOAAAAAIAFEdgBAAAAALAgAjsAAAAAABZEYAcAAAAAwIII7AAAAAAAWBCBHQAAAAAACyKwAwAAAABgQQR2AAAAAAAsKDjQDQAAAAAANAKbLdAtaHiGEegW+BUr7AAAAAAAWBCBHQAAAAAACyKwAwAAAABgQQR2AAAAAAAsiMAOAAAAAIAFEdgBAAAAALAgvwf277//Xr///e/VsWNHtW3bVhdffLEeeughHT9+3KwxDENz5syR0+lU27ZtNWDAAO3cudPrdaqqqjR58mTFxMQoPDxcGRkZ2rt3r1eN2+1WVlaW7Ha77Ha7srKydPDgQX93CQAAAACARuf3wD5//nw9++yzysvLU3FxsRYsWKBHH31UTz31lFmzYMECLVy4UHl5edq2bZscDoeGDBmiQ4cOmTU5OTlavny5CgoKtGHDBh0+fFjp6emqra01azIzM+VyuVRYWKjCwkK5XC5lZWX5u0sAAAAAADQ6m2H4987y6enpiouL05IlS8xtN9xwg8LCwrRs2TIZhiGn06mcnBzNnDlT0g+r6XFxcZo/f74mTpwoj8ej8847T8uWLdOoUaMkSfv27VN8fLxWrVqltLQ0FRcXq0uXLtq8ebOSk5MlSZs3b1ZKSoq++OILJSQk/GRbKysrZbfb5fF4FBER4c9haBg2W6Bb0PDOZjoyPvVrCWMjMT6+MDa+MT7147zsG3Onfswd3/z7KzhOYO74xvhYwpnkUL+vsF9xxRVat26dvvzyS0nSp59+qg0bNuiaa66RJJWUlKi8vFypqanmMaGhoerfv782btwoSSoqKlJNTY1XjdPpVGJiolmzadMm2e12M6xLUp8+fWS3282ak1VVVamystLrAQAAAACAFQX7+wVnzpwpj8ejX/ziFwoKClJtba0eeeQR3XLLLZKk8vJySVJcXJzXcXFxcdq9e7dZExISosjIyDo1J44vLy9XbGxsnZ8fGxtr1pwsNzdXc+fOPbsOAgAAAADQCPy+wv7666/rlVde0auvvqpPPvlEL7/8sh577DG9/PLLXnW2kz6OYRhGnW0nO7nmVPW+Xmf27NnyeDzmo7S09HS7BQAAAABAo/L7Cvv06dM1a9Ys3XzzzZKkrl27avfu3crNzdWYMWPkcDgk/bBC3r59e/O4iooKc9Xd4XCourpabrfba5W9oqJCffv2NWv2799f5+cfOHCgzur9CaGhoQoNDfVPRwEAAAAAaEB+X2E/evSoWrXyftmgoCDztm4dO3aUw+HQ2rVrzf3V1dVav369GcaTkpLUunVrr5qysjLt2LHDrElJSZHH49HWrVvNmi1btsjj8Zg1AAAAQLNis7WMBwBJDbDCPnz4cD3yyCPq0KGDfvnLX+pf//qXFi5cqHHjxkn64WPsOTk5mjdvnjp16qROnTpp3rx5CgsLU2ZmpiTJbrdr/Pjxmjp1qqKjoxUVFaVp06apa9euGjx4sCSpc+fOGjp0qLKzs7V48WJJ0oQJE5Senn5aV4gHAAAAAMDK/B7Yn3rqKd1///2aNGmSKioq5HQ6NXHiRD3wwANmzYwZM3Ts2DFNmjRJbrdbycnJWrNmjdq1a2fWLFq0SMHBwRo5cqSOHTumQYMGaenSpQoKCjJr8vPzNWXKFPNq8hkZGcrLy/N3lwAAAAAAaHR+vw97U8J92C2I+0r6xv1+fWN86sfY+Mb41I/zsm/Mnfoxd3xj7vjG+NSP95ZvTSDeBvQ+7AAAAAAA4OwR2AEAAAAAsCACOwAAAAAAFkRgBwAAAADAggjsAAAAAABYEIEdAAAAAAALIrADAAAAAGBBBHYAAAAAACyIwA4AAAAAgAUR2AEAAAAAsCACOwAAAAAAFkRgBwAAAADAggjsAAAAAABYEIEdAAAAAAALIrADAAAAAGBBBHYAAAAAACyIwA4AAAAAgAUR2AEAAAAAsCACOwAAAAAAFkRgBwAAAADAggjsAAAAAABYEIEdAAAAAAALIrADAAAAAGBBBHYAAAAAACyIwA4AAAAAgAUR2AEAAAAAsCACOwAAAAAAFkRgBwAAAADAggjsAAAAAABYEIEdAAAAAAALIrADAAAAAGBBDRLY//e//+nWW29VdHS0wsLC1KNHDxUVFZn7DcPQnDlz5HQ61bZtWw0YMEA7d+70eo2qqipNnjxZMTExCg8PV0ZGhvbu3etV43a7lZWVJbvdLrvdrqysLB08eLAhugQAAAAAQKPye2B3u93q16+fWrdurdWrV+vzzz/X448/rnPPPdesWbBggRYuXKi8vDxt27ZNDodDQ4YM0aFDh8yanJwcLV++XAUFBdqwYYMOHz6s9PR01dbWmjWZmZlyuVwqLCxUYWGhXC6XsrKy/N0lAAAAAAAanc0wDMOfLzhr1iz985//1D/+8Y9T7jcMQ06nUzk5OZo5c6akH1bT4+LiNH/+fE2cOFEej0fnnXeeli1bplGjRkmS9u3bp/j4eK1atUppaWkqLi5Wly5dtHnzZiUnJ0uSNm/erJSUFH3xxRdKSEj4ybZWVlbKbrfL4/EoIiLCTyPQgGy2QLeg4Z3NdGR86tcSxkZifHxhbHxjfOrHedk35k79mDu+MXd8Y3zqx3vLN//G2wZxJjnU7yvsK1euVO/evXXTTTcpNjZWPXv21PPPP2/uLykpUXl5uVJTU81toaGh6t+/vzZu3ChJKioqUk1NjVeN0+lUYmKiWbNp0ybZ7XYzrEtSnz59ZLfbzZqTVVVVqbKy0usBAAAAAIAV+T2w//e//9UzzzyjTp066b333tMdd9yhKVOm6M9//rMkqby8XJIUFxfndVxcXJy5r7y8XCEhIYqMjPRZExsbW+fnx8bGmjUny83NNb/vbrfbFR8ff3adBQAAAACggfg9sB8/fly9evXSvHnz1LNnT02cOFHZ2dl65plnvOpsJ30cwzCMOttOdnLNqep9vc7s2bPl8XjMR2lp6el2CwAAAACARuX3wN6+fXt16dLFa1vnzp21Z88eSZLD4ZCkOqvgFRUV5qq7w+FQdXW13G63z5r9+/fX+fkHDhyos3p/QmhoqCIiIrweAAAAAABYkd8De79+/bRr1y6vbV9++aUuvPBCSVLHjh3lcDi0du1ac391dbXWr1+vvn37SpKSkpLUunVrr5qysjLt2LHDrElJSZHH49HWrVvNmi1btsjj8Zg1AAAAAAA0VcH+fsF77rlHffv21bx58zRy5Eht3bpVzz33nJ577jlJP3yMPScnR/PmzVOnTp3UqVMnzZs3T2FhYcrMzJQk2e12jR8/XlOnTlV0dLSioqI0bdo0de3aVYMHD5b0w6r90KFDlZ2drcWLF0uSJkyYoPT09NO6QjwAAAAAAFbm98B++eWXa/ny5Zo9e7YeeughdezYUU888YRGjx5t1syYMUPHjh3TpEmT5Ha7lZycrDVr1qhdu3ZmzaJFixQcHKyRI0fq2LFjGjRokJYuXaqgoCCzJj8/X1OmTDGvJp+RkaG8vDx/dwkAAAAAgEbn9/uwNyXch92CuK+kb9yT1DfGp36MjW+MT/04L/vG3Kkfc8c35o5vjE/9eG/51gTibUDvww4AAAAAAM4egR0AAAAAAAsisAMAAAAAYEEEdgAAAAAALIjADgAAAACABRHYAQAAAACwIAI7AAAAAAAWRGAHAAAAAMCCCOwAAAAAAFgQgR0AAAAAAAsisAMAAAAAYEEEdgAAAAAALIjADgAAAACABRHYAQAAAACwIAI7AAAAAAAWRGAHAAAAAMCCCOwAAAAAAFgQgR0AAAAAAAsisAMAAAAAYEEEdgAAAAAALIjADgAAAACABRHYAQAAAACwIAI7AAAAAAAWRGAHAAAAAMCCCOwAAAAAAFgQgR0AAAAAAAsisAMAAAAAYEEEdgAAAAAALIjADgAAAACABRHYAQAAAACwIAI7AAAAAAAWRGAHAAAAAMCCGjyw5+bmymazKScnx9xmGIbmzJkjp9Optm3basCAAdq5c6fXcVVVVZo8ebJiYmIUHh6ujIwM7d2716vG7XYrKytLdrtddrtdWVlZOnjwYEN3CQAAAACABteggX3btm167rnn1K1bN6/tCxYs0MKFC5WXl6dt27bJ4XBoyJAhOnTokFmTk5Oj5cuXq6CgQBs2bNDhw4eVnp6u2tpasyYzM1Mul0uFhYUqLCyUy+VSVlZWQ3YJAAAAAIBG0WCB/fDhwxo9erSef/55RUZGmtsNw9ATTzyh++67T9dff70SExP18ssv6+jRo3r11VclSR6PR0uWLNHjjz+uwYMHq2fPnnrllVe0fft2vf/++5Kk4uJiFRYW6oUXXlBKSopSUlL0/PPP65133tGuXbsaqlsAAAAAADSKBgvsd955p4YNG6bBgwd7bS8pKVF5eblSU1PNbaGhoerfv782btwoSSoqKlJNTY1XjdPpVGJiolmzadMm2e12JScnmzV9+vSR3W43a05WVVWlyspKrwcAAAAAAFYU3BAvWlBQoKKiIn388cd19pWXl0uS4uLivLbHxcVp9+7dZk1ISIjXyvyJmhPHl5eXKzY2ts7rx8bGmjUny83N1dy5c8+8QwAAAAAANDK/r7CXlpbq7rvvVn5+vtq0aVNvnc1m83puGEadbSc7ueZU9b5eZ/bs2fJ4POajtLTU588DAAAAACBQ/B7Yi4qKVFFRoaSkJAUHBys4OFjr16/Xk08+qeDgYHNl/eRV8IqKCnOfw+FQdXW13G63z5r9+/fX+fkHDhyos3p/QmhoqCIiIrweAAAAAABYkd8D+6BBg7R9+3a5XC7z0bt3b40ePVoul0sXX3yxHA6H1q5dax5TXV2t9evXq2/fvpKkpKQktW7d2qumrKxMO3bsMGtSUlLk8Xi0detWs2bLli3yeDxmDQAAAAAATZXfv8Perl07JSYmem0LDw9XdHS0uT0nJ0fz5s1Tp06d1KlTJ82bN09hYWHKzMyUJNntdo0fP15Tp05VdHS0oqKiNG3aNHXt2tW8iF3nzp01dOhQZWdna/HixZKkCRMmKD09XQkJCf7uFgAAAAAAjapBLjr3U2bMmKFjx45p0qRJcrvdSk5O1po1a9SuXTuzZtGiRQoODtbIkSN17NgxDRo0SEuXLlVQUJBZk5+frylTpphXk8/IyFBeXl6j9wcAAAAAAH+zGYZhBLoRgVJZWSm73S6Px9M0vs/+ExflaxbOZjoyPvVrCWMjMT6+MDa+MT7147zsG3Onfswd35g7vjE+9eO95VsTiLdnkkMb7D7sAAAAAADg5yOwAwAAAABgQQR2AAAAAAAsiMAOAAAAAIAFEdgBAAAAALAgAjsAAAAAABZEYAcAAAAAwIII7AAAAAAAWBCBHQAAAAAACyKwAwAAAABgQQR2AAAAAAAsiMAOAAAAAIAFEdgBAAAAALAgAjsAAAAAABZEYAcAAAAAwIII7AAAAAAAWBCBHQAAAAAACyKwAwAAAABgQQR2AAAAAAAsiMAOAAAAAIAFEdgBAAAAALAgAjsAAAAAABZEYAcAAAAAwIII7AAAAAAAWBCBHQAAAAAACyKwAwAAAABgQQR2AAAAAAAsiMAOAAAAAIAFEdgBAAAAALAgAjsAAAAAABZEYAcAAAAAwIL8Hthzc3N1+eWXq127doqNjdWIESO0a9curxrDMDRnzhw5nU61bdtWAwYM0M6dO71qqqqqNHnyZMXExCg8PFwZGRnau3evV43b7VZWVpbsdrvsdruysrJ08OBBf3cJAAAAAIBG5/fAvn79et15553avHmz1q5dq++//16pqak6cuSIWbNgwQItXLhQeXl52rZtmxwOh4YMGaJDhw6ZNTk5OVq+fLkKCgq0YcMGHT58WOnp6aqtrTVrMjMz5XK5VFhYqMLCQrlcLmVlZfm7SwAAAAAANDqbYRhGQ/6AAwcOKDY2VuvXr9eVV14pwzDkdDqVk5OjmTNnSvphNT0uLk7z58/XxIkT5fF4dN5552nZsmUaNWqUJGnfvn2Kj4/XqlWrlJaWpuLiYnXp0kWbN29WcnKyJGnz5s1KSUnRF198oYSEhJ9sW2Vlpex2uzwejyIiIhpuEPzFZgt0Cxre2UxHxqd+LWFsJMbHF8bGN8anfpyXfWPu1I+54xtzxzfGp368t3xr2HjrF2eSQxv8O+wej0eSFBUVJUkqKSlReXm5UlNTzZrQ0FD1799fGzdulCQVFRWppqbGq8bpdCoxMdGs2bRpk+x2uxnWJalPnz6y2+1mzcmqqqpUWVnp9QAAAAAAwIoaNLAbhqF7771XV1xxhRITEyVJ5eXlkqS4uDiv2ri4OHNfeXm5QkJCFBkZ6bMmNja2zs+MjY01a06Wm5trft/dbrcrPj7+7DoIAAAAAEADadDAftddd+mzzz7Ta6+9Vmef7aSPYxiGUWfbyU6uOVW9r9eZPXu2PB6P+SgtLT2dbgAAAAAA0OgaLLBPnjxZK1eu1IcffqgLLrjA3O5wOCSpzip4RUWFuerucDhUXV0tt9vts2b//v11fu6BAwfqrN6fEBoaqoiICK8HAAAAAABW5PfAbhiG7rrrLr399tv64IMP1LFjR6/9HTt2lMPh0Nq1a81t1dXVWr9+vfr27StJSkpKUuvWrb1qysrKtGPHDrMmJSVFHo9HW7duNWu2bNkij8dj1gAAAAAA0FQF+/sF77zzTr366qv661//qnbt2pkr6Xa7XW3btpXNZlNOTo7mzZunTp06qVOnTpo3b57CwsKUmZlp1o4fP15Tp05VdHS0oqKiNG3aNHXt2lWDBw+WJHXu3FlDhw5Vdna2Fi9eLEmaMGGC0tPTT+sK8QAAAAAAWJnfA/szzzwjSRowYIDX9pdeekljx46VJM2YMUPHjh3TpEmT5Ha7lZycrDVr1qhdu3Zm/aJFixQcHKyRI0fq2LFjGjRokJYuXaqgoCCzJj8/X1OmTDGvJp+RkaG8vDx/dwkAAAAAgEbX4PdhtzLuw25B3FfSN+5J6hvjUz/GxjfGp36cl31j7tSPueMbc8c3xqd+vLd8awLx1lL3YQcAAAAAAGeOwA4AAAAAgAUR2AEAAAAAsCACOwAAAAAAFkRgBwAAAADAggjsAAAAAABYEIEdAAAAAAALIrADAAAAAGBBBHYAAAAAACyIwA4AAAAAgAUR2AEAAAAAsCACOwAAAAAAFkRgBwAAAADAggjsAAAAAABYEIEdAAAAAAALIrADAAAAAGBBBHYAAAAAACyIwA4AAAAAgAUR2AEAAAAAsCACOwAAAAAAFkRgBwAAAADAggjsAAAAAABYEIEdAAAAAAALIrADAAAAAGBBBHYAAAAAACyIwA4AAAAAgAUR2AEAAAAAsCACOwAAAAAAFkRgBwAAAADAggjsAAAAAABYEIEdAAAAAAALIrADAAAAAGBBTT6wP/300+rYsaPatGmjpKQk/eMf/wh0kwAAAAAAOGtNOrC//vrrysnJ0X333ad//etf+vWvf62rr75ae/bsCXTTAAAAAAA4KzbDMIxAN+LnSk5OVq9evfTMM8+Y2zp37qwRI0YoNze3Tn1VVZWqqqrM5x6PRx06dFBpaakiIiIapc1nxW4PdAsansfz849lfOrXEsZGYnx8YWx8Y3zqx3nZN+ZO/Zg7vjF3fGN86sd7y7ezGZ9GUllZqfj4eB08eFD2n/h/0mQDe3V1tcLCwvTmm2/quuuuM7fffffdcrlcWr9+fZ1j5syZo7lz5zZmMwEAAAAAqKO0tFQXXHCBz5rgRmqL3/2///f/VFtbq7i4OK/tcXFxKi8vP+Uxs2fP1r333ms+P3jwoC688ELt2bPnJ/+y0RKd+MtPk/kEQiNibHxjfOrH2PjG+PjG+NSPsfGN8akfY+Mb4+Mb44OfwzAMHTp0SE6n8ydrm2xgP8Fms3k9NwyjzrYTQkNDFRoaWme73W7nDeZDREQE41MPxsY3xqd+jI1vjI9vjE/9GBvfGJ/6MTa+MT6+MT44U6e7YNxkLzoXExOjoKCgOqvpFRUVdVbdAQAAAABoappsYA8JCVFSUpLWrl3rtX3t2rXq27dvgFoFAAAAAIB/NOmPxN97773KyspS7969lZKSoueee0579uzRHXfccVrHh4aG6sEHHzzlx+TB+PjC2PjG+NSPsfGN8fGN8akfY+Mb41M/xsY3xsc3xgcNrcleJf6Ep59+WgsWLFBZWZkSExO1aNEiXXnllYFuFgAAAAAAZ6XJB3YAAAAAAJqjJvsddgAAAAAAmjMCOwAAAAAAFkRgBwAAAADAggjsOCM2m00rVqwIdDMAAD/CuRkAgOapWQf2sWPHasSIEYFuhuWMHTtWNputzuOrr74KdNMC6sS4nOq2gJMmTZLNZtPYsWMbv2EWtHHjRgUFBWno0KGBbkrAMW/ODOfl08M4eeOcU7+KigpNnDhRHTp0UGhoqBwOh9LS0rRp06ZAN80ySktLNX78eDmdToWEhOjCCy/U3XffrW+++ea0jv/oo49ks9l08ODBhm1oIzrxb9cf//hHr+0rVqyQzWYLUKus48e/K7du3VpxcXEaMmSIXnzxRR0/fjzQzUML06wDO+o3dOhQlZWVeT06duwY6GYFXHx8vAoKCnTs2DFz23fffafXXntNHTp0OKvXrqmpOdvmWcaLL76oyZMna8OGDdqzZ89ZvVZtbW2T/8evIecNAP+ec5qbG264QZ9++qlefvllffnll1q5cqUGDBigb7/9NtBNs4T//ve/6t27t7788ku99tpr+uqrr/Tss89q3bp1SklJadHj1KZNG82fP19utzvQTbGkE78rf/3111q9erUGDhyou+++W+np6fr+++8D3Ty0IC0msBcWFuqKK67Queeeq+joaKWnp+s///mPuf/rr7+WzWbT22+/rYEDByosLEzdu3dvtn+hPvFX+B8/goKC9Le//U1JSUlq06aNLr74Ys2dO7fOSamsrExXX3212rZtq44dO+rNN98MUC/8r1evXurQoYPefvttc9vbb7+t+Ph49ezZ09x2uvPpjTfe0IABA9SmTRu98sorjdqXhnLkyBG98cYb+u1vf6v09HQtXbrU3HdiFeLdd99V9+7d1aZNGyUnJ2v79u1mzdKlS3XuuefqnXfeUZcuXRQaGqrdu3cHoCf+4695c9VVV+muu+7yeu1vvvlGoaGh+uCDDxq+I43soosu0hNPPOG1rUePHpozZ4753Gaz6YUXXtB1112nsLAwderUSStXrmzchgbY6YxTc+brnHPifPJjp1ohfPjhhxUbG6t27drp9ttv16xZs9SjR4+Gb3wDO3jwoDZs2KD58+dr4MCBuvDCC/WrX/1Ks2fP1rBhwyRJHo9HEyZMUGxsrCIiInTVVVfp008/NV9jzpw56tGjhxYvXqz4+HiFhYXppptuajaryXfeeadCQkK0Zs0a9e/fXx06dNDVV1+t999/X//73/903333SZKqqqo0Y8YMxcfHKzQ0VJ06ddKSJUv09ddfa+DAgZKkyMjIZvWpqcGDB8vhcCg3N7femrfeeku//OUvFRoaqosuukiPP/64uW/27Nnq06dPnWO6deumBx98sEHa3JhO/K58/vnnq1evXvrd736nv/71r1q9erV5Hvqp95ckrVy5Ur1791abNm0UExOj66+/PgC9QVPWYgL7kSNHdO+992rbtm1at26dWrVqpeuuu67Oyt59992nadOmyeVy6bLLLtMtt9zSYv6K9t577+nWW2/VlClT9Pnnn2vx4sVaunSpHnnkEa+6+++/3/yL/q233qpbbrlFxcXFAWq1//3mN7/RSy+9ZD5/8cUXNW7cOK+a051PM2fO1JQpU1RcXKy0tLRGaX9De/3115WQkKCEhATdeuuteumll2QYhlfN9OnT9dhjj2nbtm2KjY1VRkaG1ycMjh49qtzcXL3wwgvauXOnYmNjG7sbfuePeXP77bfr1VdfVVVVlXlMfn6+nE6n+QtjSzR37lyNHDlSn332ma655hqNHj26Ra+KtTSnc87xJT8/X4888ojmz5+voqIidejQQc8880wDtrjxnHPOOTrnnHO0YsUKr/PGCYZhaNiwYSovL9eqVatUVFSkXr16adCgQV7voa+++kpvvPGG/va3v6mwsFAul0t33nlnY3alQXz77bd67733NGnSJLVt29Zrn8Ph0OjRo/X666/LMAzddtttKigo0JNPPqni4mI9++yzOueccxQfH6+33npLkrRr1y6VlZXpT3/6UyC643dBQUGaN2+ennrqKe3du7fO/qKiIo0cOVI333yztm/frjlz5uj+++83w+ro0aO1ZcsWrz8879y5U9u3b9fo0aMbqxuN6qqrrlL37t319ttvn9b7691339X111+vYcOG6V//+pfWrVun3r17B7gXaHKMZmzMmDHGtddee8p9FRUVhiRj+/bthmEYRklJiSHJeOGFF8yanTt3GpKM4uLixmhuoxkzZowRFBRkhIeHm48bb7zR+PWvf23MmzfPq3bZsmVG+/btzeeSjDvuuMOrJjk52fjtb3/bKG1vSCfmy4EDB4zQ0FCjpKTE+Prrr402bdoYBw4cMK699lpjzJgxpzy2vvn0xBNPNGIPGkffvn3NftXU1BgxMTHG2rVrDcMwjA8//NCQZBQUFJj133zzjdG2bVvj9ddfNwzDMF566SVDkuFyuRq/8Q3An/Pmu+++M6KiosyxMgzD6NGjhzFnzpzG6Eqj+PF5+cILLzQWLVrktb979+7Ggw8+aD6XZPz+9783nx8+fNiw2WzG6tWrG6G1gfNzxmn58uWN1r7G5Ouc89JLLxl2u92rfvny5caPf71JTk427rzzTq+afv36Gd27d2/QdjeWv/zlL0ZkZKTRpk0bo2/fvsbs2bONTz/91DAMw1i3bp0RERFhfPfdd17HXHLJJcbixYsNwzCMBx980AgKCjJKS0vN/atXrzZatWpllJWVNV5HGsDmzZt9vjcWLlxoSDK2bNliSDLn1clO/NvmdrsbrrGN7MfnmD59+hjjxo0zDMP7/ZOZmWkMGTLE67jp06cbXbp0MZ9369bNeOihh8zns2fPNi6//PIGbn3D85UhRo0aZXTu3Pm03l8pKSnG6NGjG7q5aOZazAr7f/7zH2VmZuriiy9WRESE+X3tk78L161bN/O/27dvL+mHC7o0NwMHDpTL5TIfTz75pIqKivTQQw+Zf7E/55xzlJ2drbKyMh09etQ8NiUlxeu1UlJSmtUKe0xMjIYNG6aXX35ZL730koYNG6aYmBivmtOdT83tr6i7du3S1q1bdfPNN0uSgoODNWrUKL344otedT+eI1FRUUpISPCaIyEhIV7vtebAH/MmNDRUt956qzmeLpdLn376abP5+OXP9eO5Eh4ernbt2jXL8zLqOt1zzk+9xq9+9SuvbSc/b8puuOEG7du3TytXrlRaWpo++ugj9erVS0uXLlVRUZEOHz6s6Ohor3/bS0pKvFZFO3TooAsuuMB8npKSouPHj2vXrl2B6FKjMf7/T2qUlJQoKChI/fv3D3CLAmP+/Pl6+eWX9fnnn3ttLy4uVr9+/by29evXT//+979VW1sr6YdV9vz8fEk/jOdrr73WbFfXTzAMQzab7bTeXy6XS4MGDQpwi9HUBQe6AY1l+PDhio+P1/PPPy+n06njx48rMTFR1dXVXnWtW7c2//vEd+Ca+gWxTiU8PFyXXnqp17bjx49r7ty5p/xuTZs2bXy+XnO7oui4cePM7xL/3//9X539pzufwsPDG6W9jWXJkiX6/vvvdf7555vbDMNQ69atf/KiNT+eI23btm12c0byz7y5/fbb1aNHD+3du1cvvviiBg0apAsvvLDR+tCYWrVqVeejzae6OOOPz8vSD3OpOZ6X63O649Qc/dQ553TH5uTzzcnHNHVt2rTRkCFDNGTIED3wwAO6/fbb9eCDD2rSpElq3769PvroozrHnPzd/x87MV5N/Tx96aWXymaz6fPPPz/lXRe++OILRUZGKiwsrPEbZyFXXnml0tLS9Lvf/c7rD8QngumPnfzeyczM1KxZs/TJJ5/o2LFjKi0tNf/A1lwVFxerY8eOOn78+E++v07+Kgbwc7SIwP7NN9+ouLhYixcv1q9//WtJ0oYNGwLcKuvp1auXdu3aVSfIn2zz5s267bbbvJ7/+MJazcHQoUPNEHXyd89b6nz6/vvv9ec//1mPP/64UlNTvfbdcMMNys/PV2JioqQf5sSJq6O73W59+eWX+sUvftHobW5s/pg3Xbt2Ve/evfX888/r1Vdf1VNPPdXwDQ+Q8847T2VlZebzyspKlZSUBLBF1tRSx+l0zjmXXHKJDh06pCNHjph/IHW5XF61CQkJ2rp1q7KyssxtH3/8cYO3P5C6dOmiFStWqFevXiovL1dwcLAuuuiieuv37Nmjffv2yel0SpI2bdqkVq1a6bLLLmukFjeM6OhoDRkyRE8//bTuuecer/BUXl6u/Px83XbbberatauOHz+u9evXa/DgwXVeJyQkRJLMVeXmKDc3Vz179vT6f96lS5c6/05t3LhRl112mYKCgiRJF1xwga688krl5+fr2LFjGjx4sOLi4hq17Y3pgw8+0Pbt23XPPffoggsu+Mn3V7du3bRu3Tr95je/adyGollpEYE9MjJS0dHReu6559S+fXvt2bNHs2bNCnSzLOeBBx5Qenq64uPjddNNN6lVq1b67LPPtH37dj388MNm3ZtvvqnevXvriiuuUH5+vrZu3aolS5YEsOX+FxQUZH6E+8Q/Sie01Pn0zjvvyO12a/z48bLb7V77brzxRi1ZskSLFi2SJD300EOKjo5WXFyc7rvvPsXExLSIe0r7a97cfvvtuuuuuxQWFqbrrruuwdsdKFdddZWWLl2q4cOHKzIyUvfff3+dcUPLHafTOeesW7dOYWFh+t3vfqfJkydr69atXleRl6TJkycrOztbvXv3Vt++ffX666/rs88+08UXX9yIvWkY33zzjW666SaNGzdO3bp1U7t27fTxxx9rwYIFuvbaazV48GClpKRoxIgRmj9/vhISErRv3z6tWrVKI0aMML+21aZNG40ZM0aPPfaYKisrNWXKFI0cOVIOhyPAPTx7eXl56tu3r9LS0vTwww+rY8eO2rlzp6ZPn67zzz9fjzzyiKKiojRmzBiNGzdOTz75pLp3767du3eroqJCI0eO1IUXXiibzaZ33nlH11xzjdq2batzzjkn0F3zq27dumn06NFefySeOnWqLr/8cv3hD3/QqFGjtGnTJuXl5enpp5/2Onb06NGaM2eOqqurzd8DmoOqqiqVl5ertrZW+/fvV2FhoXJzc5Wenq7bbrtNrVq1+sn314MPPqhBgwbpkksu0c0336zvv/9eq1ev1owZMwLdPTQhzfo77MePH1dwcLBatWqlgoICFRUVKTExUffcc48effTRQDfPctLS0vTOO+9o7dq1uvzyy9WnTx8tXLiwzsdx586dq4KCAnXr1k0vv/yy8vPz1aVLlwC1uuFEREQoIiKizvaWOp+WLFmiwYMH1/nFWfphtcvlcumTTz6RJP3xj3/U3XffraSkJJWVlWnlypXmCkVz5495c8sttyg4OFiZmZk/+XWUpubEeVn64ZZAV155pdLT03XNNddoxIgRuuSSSwLcQmtgnE7vnPP111/rlVde0apVq9S1a1e99tprdW53N3r0aM2ePVvTpk1Tr169VFJSorFjxzaL99Y555yj5ORkLVq0SFdeeaUSExN1//33Kzs7W3l5ebLZbFq1apWuvPJKjRs3Tpdddpluvvlmff31116roJdeeqmuv/56XXPNNUpNTVViYmKdUNZUderUSR9//LEuueQSjRo1SpdccokmTJiggQMHatOmTYqKipIkPfPMM7rxxhs1adIk/eIXv1B2draOHDkiSTr//PM1d+5czZo1S3FxcXVuv9lc/OEPf/D6yHuvXr30xhtvqKCgQImJiXrggQf00EMP1bmuyk033aRvvvlGR48ebVZ/nC8sLFT79u110UUXaejQofrwww/15JNP6q9//auCgoJO6/01YMAAvfnmm1q5cqV69Oihq666Slu2bAlwz9DU2Izm9kWuHxk6dKguvfRS5eXlBbopQIvw0UcfaeDAgXK73T6/HwnfSktLddFFF2nbtm3q1atXoJvjV5yXTw/j1LCGDBkih8OhZcuWBbopATdnzhytWLGizlcJAADW0Cw/Eu92u7Vx40Z99NFHuuOOOwLdHAA4LTU1NSorK9OsWbPUp0+fZhXWOS+fHsbJ/44ePapnn31WaWlpCgoK0muvvab3339fa9euDXTTAAD4Sc0ysI8bN07btm3T1KlTde211wa6OQBwWv75z39q4MCBuuyyy/SXv/wl0M3xK87Lp4dx8r8TH1t9+OGHVVVVpYSEBL311lunvLgYAABW06w/Eg8AAAAAQFPVrC86BwAAAABAU0VgBwAAAADAggjsAAAAAABYEIEdAAAAAAALIrADAAAAAGBBBHYAAAAAACyIwA4AAAAAgAUR2AEAAAAAsKD/DxkS+sXFbtJyAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# MEDIAN STEPS BY MONTH_ENCODED\n", - "# your code here\n", "\n", + "\n", + "fitbit_months = fitbit.groupby(['Months_encoded']).agg({'Steps': 'median'})\n", + "fitbit_months = pd.DataFrame(fitbit_months).reset_index()\n", + "\n", + "plt.figure(figsize= (12,4))\n", + "plt.bar(fitbit_months['Months_encoded'], fitbit_months['Steps'], color='r')\n", + "plt.xticks(fitbit_months.index, ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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lS5dm6dKlaWtrS0tLS0+fEgAAAOxzdUVRFD25wcsuuyz33ntv7rnnnld8vCiKNDc3p7W1NXPnzk3y0t30xsbGXH311TnvvPNSrVZzyCGH5Oabb84ZZ5yRJHnmmWcyYsSI3HbbbZk2bVoeeeSRjBkzJqtXr8748eOTJKtXr86ECRPy6KOPZvTo0X/0WDdv3pxKpZJqtZohQ4b00G9gL6mr6+0jAGBv6NnLMK+V6yrAgWk/uK7uSYf2+B32W2+9Ne973/vysY99LA0NDTnqqKPyzW9+s/b4+vXr097enqlTp9bW1dfXZ9KkSVm5cmWSZN26ddmxY0eXmebm5owdO7Y2s2rVqlQqlVqsJ8kxxxyTSqVSm9ldZ2dnNm/e3GUBAACAMurxYP/Vr36V6667LqNGjcodd9yRz3zmM5kzZ07+9V//NUnS3t6eJGlsbOzyvMbGxtpj7e3t6d+/fw4++OBXnWloaOi2/4aGhtrM7hYsWFB7v3ulUsmIESPe2MkCAADAXtLjwb5r164cffTRmT9/fo466qicd955mTVrVq677rouc3W7vRStKIpu63a3+8wrzb/adubNm5dqtVpbNmzY8FpPCwAAAPapHg/2Qw89NGPGjOmy7ogjjshTTz2VJGlqakqSbnfBN23aVLvr3tTUlO3bt6ejo+NVZ5599tlu+3/uuee63b1/WX19fYYMGdJlAQAAgDLq8WD/4Ac/mMcee6zLuscffzxve9vbkiQjR45MU1NTli1bVnt8+/btWb58eSZOnJgkGTduXPr169dlZuPGjXnooYdqMxMmTEi1Ws19991Xm1mzZk2q1WptBgAAAPZXfXt6g3/3d3+XiRMnZv78+Tn99NNz33335cYbb8yNN96Y5KWXsbe2tmb+/PkZNWpURo0alfnz52fgwIGZOXNmkqRSqeScc87JxRdfnGHDhmXo0KG55JJLcuSRR+aEE05I8tJd+5NOOimzZs3KDTfckCQ599xzM3369Nf0CfEAAABQZj0e7O9///uzZMmSzJs3L1dddVVGjhyZr371qznzzDNrM5deemm2bduW888/Px0dHRk/fnzuvPPODB48uDZz7bXXpm/fvjn99NOzbdu2HH/88bnpppvSp0+f2swtt9ySOXPm1D5NfsaMGVm0aFFPnxIAAADscz3+Pez7E9/DDkCv+9O9DPcu11WAA9N+cF3t1e9hBwAAAN44wQ4AAAAlJNgBAACghAQ7AAAAlJBgBwAAgBIS7AAAAFBCgh0AAABKSLADAABACQl2AAAAKCHBDgAAACUk2AEAAKCEBDsAAACUkGAHAACAEhLsAAAAUEKCHQAAAEpIsAMAAEAJCXYAAAAoIcEOAAAAJSTYAQAAoIQEOwAAAJSQYAcAAIASEuwAAABQQoIdAAAASkiwAwAAQAkJdgAAACghwQ4AAAAlJNgBAACghAQ7AAAAlJBgBwAAgBIS7AAAAFBCgh0AAABKSLADAABACQl2AAAAKCHBDgAAACUk2AEAAKCEBDsAAACUkGAHAACAEhLsAAAAUEKCHQAAAEpIsAMAAEAJCXYAAAAoIcEOAAAAJSTYAQAAoIQEOwAAAJSQYAcAAIAS2uvBvmDBgtTV1aW1tbW2riiKXHHFFWlubs6AAQMyefLkPPzww12e19nZmdmzZ2f48OEZNGhQZsyYkaeffrrLTEdHR1paWlKpVFKpVNLS0pLnn39+b58SAAAA7HV7NdjXrl2bG2+8Me95z3u6rF+4cGGuueaaLFq0KGvXrk1TU1NOPPHEbNmypTbT2tqaJUuWZPHixVmxYkW2bt2a6dOnZ+fOnbWZmTNnpq2tLUuXLs3SpUvT1taWlpaWvXlKAAAAsG8Ue8mWLVuKUaNGFcuWLSsmTZpUfPazny2Koih27dpVNDU1Ff/4j/9Ym/3DH/5QVCqV4vrrry+Koiief/75ol+/fsXixYtrM7/+9a+Lgw46qFi6dGlRFEXxi1/8okhSrF69ujazatWqIknx6KOPvqZjrFarRZKiWq2+0dPd+xKLxWKxHIgLvaO3/94tFovFsneW/cCedOheu8N+wQUX5OSTT84JJ5zQZf369evT3t6eqVOn1tbV19dn0qRJWblyZZJk3bp12bFjR5eZ5ubmjB07tjazatWqVCqVjB8/vjZzzDHHpFKp1GZ219nZmc2bN3dZAAAAoIz67o2NLl68OOvWrcv999/f7bH29vYkSWNjY5f1jY2NefLJJ2sz/fv3z8EHH9xt5uXnt7e3p6Ghodv2GxoaajO7W7BgQa688so9PyEAAADYx3r8DvuGDRvy2c9+Nrfcckve9KY3/Z9zdXV1XX4uiqLbut3tPvNK86+2nXnz5qVardaWDRs2vOr+AAAAoLf0eLCvW7cumzZtyrhx49K3b9/07ds3y5cvz9e+9rX07du3dmd997vgmzZtqj3W1NSU7du3p6Oj41Vnnn322W77f+6557rdvX9ZfX19hgwZ0mUBAACAMurxYD/++OPz4IMPpq2trba8733vy5lnnpm2tra84x3vSFNTU5YtW1Z7zvbt27N8+fJMnDgxSTJu3Lj069evy8zGjRvz0EMP1WYmTJiQarWa++67rzazZs2aVKvV2gwAAADsr3r8PeyDBw/O2LFju6wbNGhQhg0bVlvf2tqa+fPnZ9SoURk1alTmz5+fgQMHZubMmUmSSqWSc845JxdffHGGDRuWoUOH5pJLLsmRRx5Z+xC7I444IieddFJmzZqVG264IUly7rnnZvr06Rk9enRPnxYAAADsU3vlQ+f+mEsvvTTbtm3L+eefn46OjowfPz533nlnBg8eXJu59tpr07dv35x++unZtm1bjj/++Nx0003p06dPbeaWW27JnDlzap8mP2PGjCxatGifnw8AAAD0tLqiKIrePojesnnz5lQqlVSr1fK/n/2PfCAfAPupP93LcO9yXQU4MO0H19U96dC99j3sAAAAwOsn2AEAAKCEBDsAAACUkGAHAACAEhLsAAAAUEKCHQAAAEpIsAMAAEAJCXYAAAAoIcEOAAAAJSTYAQAAoIQEOwAAAJSQYAcAAIASEuwAAABQQoIdAAAASkiwAwAAQAkJdgAAACghwQ4AAAAlJNgBAACghAQ7AAAAlJBgBwAAgBIS7AAAAFBCgh0AAABKSLADAABACQl2AAAAKCHBDgAAACUk2AEAAKCEBDsAAACUkGAHAACAEhLsAAAAUEKCHQAAAEpIsAMAAEAJCXYAAAAoIcEOAAAAJSTYAQAAoIQEOwAAAJSQYAcAAIASEuwAAABQQoIdAAAASkiwAwAAQAkJdgAAACghwQ4AAAAlJNgBAACghAQ7AAAAlJBgBwAAgBIS7AAAAFBCPR7sCxYsyPvf//4MHjw4DQ0NOe200/LYY491mSmKIldccUWam5szYMCATJ48OQ8//HCXmc7OzsyePTvDhw/PoEGDMmPGjDz99NNdZjo6OtLS0pJKpZJKpZKWlpY8//zzPX1KAAAAsM/1eLAvX748F1xwQVavXp1ly5blxRdfzNSpU/PCCy/UZhYuXJhrrrkmixYtytq1a9PU1JQTTzwxW7Zsqc20trZmyZIlWbx4cVasWJGtW7dm+vTp2blzZ21m5syZaWtry9KlS7N06dK0tbWlpaWlp08JAAAA9rm6oiiKvbmD5557Lg0NDVm+fHmOO+64FEWR5ubmtLa2Zu7cuUleupve2NiYq6++Ouedd16q1WoOOeSQ3HzzzTnjjDOSJM8880xGjBiR2267LdOmTcsjjzySMWPGZPXq1Rk/fnySZPXq1ZkwYUIeffTRjB49+o8e2+bNm1OpVFKtVjNkyJC990voCXV1vX0EAOwNe/cyzP/FdRXgwLQfXFf3pEP3+nvYq9VqkmTo0KFJkvXr16e9vT1Tp06tzdTX12fSpElZuXJlkmTdunXZsWNHl5nm5uaMHTu2NrNq1apUKpVarCfJMccck0qlUpvZXWdnZzZv3txlAQAAgDLaq8FeFEUuuuiifOhDH8rYsWOTJO3t7UmSxsbGLrONjY21x9rb29O/f/8cfPDBrzrT0NDQbZ8NDQ21md0tWLCg9n73SqWSESNGvLETBAAAgL1krwb7hRdemAceeCD//u//3u2xut1eilYURbd1u9t95pXmX2078+bNS7VarS0bNmx4LacBAAAA+9xeC/bZs2fn1ltvzV133ZXDDjustr6pqSlJut0F37RpU+2ue1NTU7Zv356Ojo5XnXn22We77fe5557rdvf+ZfX19RkyZEiXBQAAAMqox4O9KIpceOGF+cEPfpCf/OQnGTlyZJfHR44cmaampixbtqy2bvv27Vm+fHkmTpyYJBk3blz69evXZWbjxo156KGHajMTJkxItVrNfffdV5tZs2ZNqtVqbQYAAAD2V317eoMXXHBBvvOd7+Q///M/M3jw4Nqd9EqlkgEDBqSuri6tra2ZP39+Ro0alVGjRmX+/PkZOHBgZs6cWZs955xzcvHFF2fYsGEZOnRoLrnkkhx55JE54YQTkiRHHHFETjrppMyaNSs33HBDkuTcc8/N9OnTX9MnxAMAAECZ9XiwX3fddUmSyZMnd1n/rW99K2effXaS5NJLL822bdty/vnnp6OjI+PHj8+dd96ZwYMH1+avvfba9O3bN6effnq2bduW448/PjfddFP69OlTm7nlllsyZ86c2qfJz5gxI4sWLerpUwIAAIB9bq9/D3uZ+R52AHrdn+5luHe5rgIcmPaD62qpvocdAAAA2HOCHQAAAEpIsAMAAEAJCXYAAAAoIcEOAAAAJSTYAQAAoIQEOwAAAJSQYAcAAIASEuwAAABQQoIdAAAASkiwAwAAQAkJdgAAACghwQ4AAAAlJNgBAACghAQ7AAAAlJBgBwAAgBIS7AAAAFBCgh0AAABKSLADAABACQl2AAAAKCHBDgAAACUk2AEAAKCEBDsAAACUkGAHAACAEhLsAAAAUEKCHQAAAEpIsAMAAEAJCXYAAAAoIcE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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ "# MEDIAN STEPS BY WORK_OR_WEEKEND\n", - "# your code here" + "\n", + "\n", + "fitbit_weekend = fitbit.groupby(['Work_or_Weekend']).agg({'Steps': 'median'})\n", + "fitbit_weekend = pd.DataFrame(fitbit_weekend).reset_index()\n", + "plt.figure(figsize= (12,4))\n", + "plt.bar(fitbit_weekend['Work_or_Weekend'], fitbit_weekend['Steps'], color='r')\n", + "plt.xticks([0,1], ['Work', 'Weekend'])\n", + "plt.show()" ] }, { @@ -211,13 +350,157 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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PassengerIdSurvivedPclassNameGenderAgeSibSpParchTicketFareCabinEmbarked
010.03Braund, Mr. Owen Harrismale22.010A/5 211717.2500U0S
121.01Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
231.03Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250U0S
341.01Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
450.03Allen, Mr. William Henrymale35.0003734508.0500U0S
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0.0 3 \n", + "1 2 1.0 1 \n", + "2 3 1.0 3 \n", + "3 4 1.0 1 \n", + "4 5 0.0 3 \n", + "\n", + " Name Gender Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 U0 S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 U0 S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 U0 S " + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "titanic= pd.read_csv('titanic.csv')\n", + "titanic.head()" ] }, { @@ -229,11 +512,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "PassengerId int64\n", + "Survived float64\n", + "Pclass int64\n", + "Name object\n", + "Gender object\n", + "Age float64\n", + "SibSp int64\n", + "Parch int64\n", + "Ticket object\n", + "Fare float64\n", + "Cabin object\n", + "Embarked object\n", + "dtype: object" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "titanic.dtypes" ] }, { @@ -246,22 +552,311 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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PassengerIdPclassSibSpParch
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" + ], + "text/plain": [ + " PassengerId Pclass SibSp Parch\n", + "0 1 3 1 0\n", + "1 2 1 1 0\n", + "2 3 3 0 0\n", + "3 4 1 1 0\n", + "4 5 3 0 0\n", + "... ... ... ... ...\n", + "1304 1305 3 0 0\n", + "1305 1306 1 0 0\n", + "1306 1307 3 0 0\n", + "1307 1308 3 0 0\n", + "1308 1309 3 1 1\n", + "\n", + "[1309 rows x 4 columns]" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# NUMERICAL VARIABLES\n", - "# your code here" + "titanic.select_dtypes(['int64'],['float64'])" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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NameGenderTicketCabinEmbarked
0Braund, Mr. Owen HarrismaleA/5 21171U0S
1Cumings, Mrs. John Bradley (Florence Briggs Th...femalePC 17599C85C
2Heikkinen, Miss. LainafemaleSTON/O2. 3101282U0S
3Futrelle, Mrs. Jacques Heath (Lily May Peel)female113803C123S
4Allen, Mr. William Henrymale373450U0S
..................
1304Spector, Mr. WoolfmaleA.5. 3236U0S
1305Oliva y Ocana, Dona. FerminafemalePC 17758C105C
1306Saether, Mr. Simon SivertsenmaleSOTON/O.Q. 3101262U0S
1307Ware, Mr. Frederickmale359309U0S
1308Peter, Master. Michael Jmale2668U0C
\n", + "

1309 rows × 5 columns

\n", + "
" + ], + "text/plain": [ + " Name Gender \\\n", + "0 Braund, Mr. Owen Harris male \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female \n", + "2 Heikkinen, Miss. Laina female \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female \n", + "4 Allen, Mr. William Henry male \n", + "... ... ... \n", + "1304 Spector, Mr. Woolf male \n", + "1305 Oliva y Ocana, Dona. Fermina female \n", + "1306 Saether, Mr. Simon Sivertsen male \n", + "1307 Ware, Mr. Frederick male \n", + "1308 Peter, Master. Michael J male \n", + "\n", + " Ticket Cabin Embarked \n", + "0 A/5 21171 U0 S \n", + "1 PC 17599 C85 C \n", + "2 STON/O2. 3101282 U0 S \n", + "3 113803 C123 S \n", + "4 373450 U0 S \n", + "... ... ... ... \n", + "1304 A.5. 3236 U0 S \n", + "1305 PC 17758 C105 C \n", + "1306 SOTON/O.Q. 3101262 U0 S \n", + "1307 359309 U0 S \n", + "1308 2668 U0 C \n", + "\n", + "[1309 rows x 5 columns]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# CATEGORICAL VARIABLES\n", - "# your code here" + "titanic.select_dtypes('object')" ] }, { @@ -274,11 +869,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here" + "plt.figure(figsize=(12,6))\n", + "\n", + "plt.show()" ] }, { @@ -290,11 +897,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here" + "titanic['Age'].plot()" ] }, { @@ -571,7 +1199,7 @@ "metadata": { "anaconda-cloud": {}, "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -585,7 +1213,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.2" + "version": "3.9.13" } }, "nbformat": 4,