![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\"){kind=icon}
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "BjzM7z6Iyhyh",
+ "outputId": "807c3a45-51ed-43d0-9312-7484aa9ea977"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ " distance_from_earth iron nickel water_ice \\\n",
+ "count 999.000000 999.000000 999.000000 999.000000 \n",
+ "mean 528.203980 22.371874 8.049283 15.207608 \n",
+ "std 268.064613 10.335978 4.184687 8.747676 \n",
+ "min 52.428665 5.045052 1.036363 0.005952 \n",
+ "25% 296.752162 13.401947 4.549747 7.741339 \n",
+ "50% 538.013430 22.045289 7.958279 14.835617 \n",
+ "75% 754.018805 31.452207 11.849226 22.900207 \n",
+ "max 999.412140 39.966511 14.976117 29.990903 \n",
+ "\n",
+ " other_minerals Estimated Value (B USD) sustainability_index \\\n",
+ "count 999.000000 999.000000 999.000000 \n",
+ "mean 54.371234 55.815296 55.391004 \n",
+ "std 14.098095 14.062025 19.820032 \n",
+ "min 17.605375 15.756373 20.023555 \n",
+ "25% 44.584301 45.281017 38.410914 \n",
+ "50% 54.915193 55.378934 54.687391 \n",
+ "75% 64.704661 66.303514 72.702901 \n",
+ "max 93.065232 94.369247 89.940666 \n",
+ "\n",
+ " efficiency_index \n",
+ "count 999.000000 \n",
+ "mean 65.106627 \n",
+ "std 20.224630 \n",
+ "min 30.095105 \n",
+ "25% 48.486749 \n",
+ "50% 64.636915 \n",
+ "75% 82.987346 \n",
+ "max 99.973065 \n"
+ ]
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "\n",
+ "# Assuming the data is in a DataFrame called 'df'\n",
+ "df = pd.read_csv('/content/space_mining_dataset.csv')\n",
+ "\n",
+ "print(df.describe())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "fig, axs = plt.subplots(2, 2, figsize=(15, 15))\n",
+ "\n",
+ "axs[0, 0].hist(df['distance_from_earth'])\n",
+ "axs[0, 0].set_title('Distribution of Distance from Earth')\n",
+ "\n",
+ "axs[0, 1].hist(df['Estimated Value (B USD)'])\n",
+ "axs[0, 1].set_title('Distribution of Estimated Value')\n",
+ "\n",
+ "axs[1, 0].hist(df['sustainability_index'])\n",
+ "axs[1, 0].set_title('Distribution of Sustainability Index')\n",
+ "\n",
+ "axs[1, 1].hist(df['efficiency_index'])\n",
+ "axs[1, 1].set_title('Distribution of Efficiency Index')\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000
+ },
+ "id": "iisQU56Pyz-W",
+ "outputId": "92d2bf2b-ed14-4047-82e7-55944e57131d"
+ },
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "matplotlib.pyplot.xticks
def xticks(ticks=None, labels=None, *, minor=False, **kwargs)
Get or set the current tick locations and labels of the x-axis.\n", + "\n", + "Pass no arguments to return the current values without modifying them.\n", + "\n", + "Parameters\n", + "----------\n", + "ticks : array-like, optional\n", + " The list of xtick locations. Passing an empty list removes all xticks.\n", + "labels : array-like, optional\n", + " The labels to place at the given *ticks* locations. This argument can\n", + " only be passed if *ticks* is passed as well.\n", + "minor : bool, default: False\n", + " If ``False``, get/set the major ticks/labels; if ``True``, the minor\n", + " ticks/labels.\n", + "**kwargs\n", + " `.Text` properties can be used to control the appearance of the labels.\n", + "\n", + "Returns\n", + "-------\n", + "locs\n", + " The list of xtick locations.\n", + "labels\n", + " The list of xlabel `.Text` objects.\n", + "\n", + "Notes\n", + "-----\n", + "Calling this function with no arguments (e.g. ``xticks()``) is the pyplot\n", + "equivalent of calling `~.Axes.get_xticks` and `~.Axes.get_xticklabels` on\n", + "the current axes.\n", + "Calling this function with arguments is the pyplot equivalent of calling\n", + "`~.Axes.set_xticks` and `~.Axes.set_xticklabels` on the current axes.\n", + "\n", + "Examples\n", + "--------\n", + ">>> locs, labels = xticks() # Get the current locations and labels.\n", + ">>> xticks(np.arange(0, 1, step=0.2)) # Set label locations.\n", + ">>> xticks(np.arange(3), ['Tom', 'Dick', 'Sue']) # Set text labels.\n", + ">>> xticks([0, 1, 2], ['January', 'February', 'March'],\n", + "... rotation=20) # Set text labels and properties.\n", + ">>> xticks([]) # Disable xticks.\n", + " \n", + "