LABS/LAB 13. Histograms.ipynb

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    "# Create histogram of life_exp data\n",
    "plt.hist(life_exp)\n",
    "\n",
    "# Display histogram\n",
    "plt.show()"
   ]
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   "cell_type": "code",
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    "# Build histogram with 5 bins\n",
    "plt.hist(life_exp, bins = 5)\n",
    "\n",
    "# Show and clean up plot\n",
    "plt.show()\n",
    "plt.clf()\n",
    "\n",
    "# Build histogram with 20 bins\n",
    "plt.hist(life_exp, bins = 20)\n",
    "\n",
    "# Show and clean up again\n",
    "plt.show()\n",
    "plt.clf()"
   ]
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   "cell_type": "code",
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    "# Histogram of life_exp, 15 bins\n",
    "plt.hist(life_exp, bins = 15)\n",
    "\n",
    "# Show and clear plot\n",
    "plt.show()\n",
    "plt.clf()\n",
    "\n",
    "# Histogram of life_exp1950, 15 bins\n",
    "plt.hist(life_exp1950, bins = 15)\n",
    "\n",
    "# Show and clear plot again\n",
    "plt.show()\n",
    "plt.clf()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Choose the right plot (1)\n",
    "1. You're a professor teaching Data Science with Python, and you want to visually assess if the grades on your exam follow a normal distribution. Which plot do you use?\n",
    "    - Histogram"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Choose the right plot (2)\n",
    "1. You're a professor in Data Analytics with Python, and you want to visually assess if longer answers on exam questions lead to higher grades. Which plot do you use?\n",
    "    - Scatter plot"
   ]
  }
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