{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question\n",
    "What are some conclusions you can find from the data?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import csv\n",
    "import pandas as pd\n",
    "pd.set_option('display.max_columns', 500)\n",
    "waterQual = pd.read_csv(\"../fullData.csv\", encoding = \"ISO-8859-1\", dtype = 'str')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from mpl_toolkits.basemap import Basemap\n",
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "from statistics import *\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "analytes = list(set(waterQual['analyte'].values))\n",
    "collection = list(set(waterQual['collectionmethod'].values))\n",
    "device = list(set(waterQual['collectiondevice'].values))\n",
    "results = list(set(waterQual['result'].values))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.1231163674880511"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##Start out by analyzing the pH of different locations of water\n",
    "waterQualpH = waterQual.loc[waterQual['analyte'] == 'pH']\n",
    "compare1  =waterQualpH['sampleyear'].apply(pd.to_numeric)\n",
    "compare2  =waterQualpH['result'].apply(pd.to_numeric)\n",
    "compare1.corr(compare2)\n",
    "##There is minimal correlation between year and pH, slighty acidic as the years have gone by"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "##pH Calculations, separated by location##\n",
    "locationType = 'county_name'\n",
    "pHWaters = list(waterQualpH[locationType].unique())\n",
    "pHWaters = [elem for elem in pHWaters if pd.notnull(elem)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Getting the averagesm, and normalizing data from negatives and far outliers (typos)##\n",
    "averages = {}\n",
    "medians = {}\n",
    "withYearsMedians = {}\n",
    "withYearsMeans={}\n",
    "for i in pHWaters:\n",
    "    riverpH = waterQualpH[waterQualpH[locationType] == i]\n",
    "    pHList = [float(x) for x in list(riverpH['result'])]\n",
    "\n",
    "    for j in pHList:\n",
    "        if j<0 or j>14:\n",
    "            pHList.remove(j)\n",
    "\n",
    "    averages[i] = mean(pHList)\n",
    "    medians[i] = median(pHList)\n",
    "for k in range(1990, 2019):\n",
    "        riverpH = waterQualpH[(waterQualpH['sampleyear'] == str(k))]\n",
    "        pHList = [float(x) for x in list(riverpH['result'])]\n",
    "\n",
    "        for j in pHList:\n",
    "            if j<0 or j>14:\n",
    "                pHList.remove(j)\n",
    "        try:\n",
    "            withYearsMeans[str(k)] = mean(pHList)\n",
    "            withYearsMedians[str(k)] = mean(pHList)\n",
    "        except:\n",
    "            pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABq8AAAJDCAYAAACVPo7mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3V+I3el93/HP15JCx27opFQN1TjGSynji2xByVDaClpYp5VpQi2WXsQ0JWkNe9emIcis2otcrkClf6DQIhLXgRgX6qpqqWllEzWYGtegtZzK8UYNNKm7ozirYERLO5D19unFatYrWbsjzTma+c5zXi9YJP3mzJxnOKPf6vd7n+d5aowRAAAAAAAA6OA9hz0AAAAAAAAA2CVeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANDGnvGqqj5ZVa9V1dcf8bGfr6pRVX/s6QwPAAAAAACAVfI4M68+leQjDx+sqh9K8peTfHPJYwIAAAAAAGBF7RmvxhhfTPLtR3zoHyX5RJKx7EEBAAAAAACwmva151VVfTTJ9hjj15c8HgAAAAAAAFbY8Sf9hKp6b5K/lzeXDHycx7+Q5IUked/73vejH/rQh570KQEAAAAAADjiXn755d8fY5zc63FPHK+S/MkkzyT59apKkvcn+WpV/ZkxxrcefvAY43KSy0mytbU1bty4sY+nBAAAAAAA4Cirqv/xOI974ng1xriV5I+/7Yl+J8nWGOP3n/RrAQAAAAAAwNvtuedVVX0myZeTbFbVq1X18ac/LAAAAAAAAFbRnjOvxhgf2+PjH1zaaAAAAAAAAFhpe868AgAAAAAAgIMiXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtLFnvKqqT1bVa1X19bcdu1RVv1lV/7Wq/k1VrT/dYQIAAAAAALAKHmfm1aeSfOShY19I8sNjjD+d5L8lubDkcQEAAAAAALCC9oxXY4wvJvn2Q8c+P8b4zv0//pck738KYwMAAAAAAGDFLGPPq7+V5D8s4esAAAAAAACw4haKV1X195N8J8mn3+UxL1TVjaq6cffu3UWeDgAAAAAAgMntO15V1c8k+Ykkf32MMd7pcWOMy2OMrTHG1smTJ/f7dAAAAAAAAKyA4/v5pKr6SJJPJPmLY4z/u9whAQAAAAAAsKr2nHlVVZ9J8uUkm1X1alV9PMk/TfL9Sb5QVV+rqn/+lMcJAAAAAADACthz5tUY42OPOPxLT2EsAAAAAAAArLh973kFAAAAAAAAyyZeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0sWe8qqpPVtVrVfX1tx37o1X1har6rfu//sDTHSYAAAAAAACr4HFmXn0qyUceOvZikl8dY/ypJL96/88AAAAAAACwkD3j1Rjji0m+/dDhjyb55fu//+Uk55Y8LgAAAAAAAFbQfve8+sExxu/e//23kvzgksYDAAAAAADACttvvHrLGGMkGe/08ap6oapuVNWNu3fvLvp0AAAAAAAATGy/8er3qupPJMn9X197pweOMS6PMbbGGFsnT57c59MBAAAAAACwCvYbr/5dkp++//ufTvJvlzMcAAAAAAAAVtme8aqqPpPky0k2q+rVqvp4kotJ/lJV/VaSH7v/ZwAAAAAAAFjI8b0eMMb42Dt86MNLHgsAAAAAAAArbr/LBgIAAAAAAMDSiVcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG8cPewB8r6s3t3Pp2u3cubeTU+trOX92M+dObxz2sAAAAAAAAJ468aqZqze3c+HKrey8/kaSZPveTi5cuZUkAhYAAAAAADA9ywY2c+na7bfC1a6d19/IpWu3D2lEAAAAAAAAB0e8aubOvZ0nOg4AAAAAADAT8aqZU+trT3QcAAAAAABgJuJVM+fPbmbtxLEHjq2dOJbzZzcPaUQAAAAAAAAH5/hhD4AHnTu9keTNva/u3NvJqfW1nD+7+dZxAAAAAACAmYlXDZ07vSFWAQAAAAAAK8mygQAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG8cPewCsjqs3t3Pp2u3cubeTU+trOX92M+dObxz2sAAAAAAAgEbEKw7E1ZvbuXDlVnZefyNJsn1vJxeu3EoSAQsAAAAAAHiLZQM5EJeu3X4rXO3aef2NXLp2+5BGBAAAAAAAdCRecSDu3Nt5ouMAAAAAAMBqsmwgB+LU+lq2HxGqTq2vHcJoAAAAVpO9iAEAOArMvOJAnD+7mbUTxx44tnbiWM6f3TykEQEAAKyW3b2It+/tZOS7exFfvbl92EMDAIAHmHnFgdh9J593+AE8yLufAYCD8m57Efv3BwAAnYhXHJhzpzdcEAG8ze67n3dvIu2++zmJ8yUAsHT2IgYA4KiwbCDARK7e3M6Zi9fzzIufy5mL1y0B09y7vfsZAGDZ3mnPYXsRAwDQjXgFMAl7GBw93v0MABwkexEDAHBUWDYQYBIz72Ew675Qp9bXsv2IUOXdz7A8s54/APbDXsQAABwV4hXAJGadxTPzvlDnz24+8L0l3v3M4Zkx8sx8/pjx9QIOhr2IAQA4CsQrWAI3kOhg1lk8M88om/ndz86LR8uskWfW88esr9fsnBcBAAAen3gFC3IDiS5mncUz64yyXTO++3nm8+KsN59njTyznj9mfb1mNvN5cWaznvMBAOAoEK9gQW4g0cWss3hmnVE2s1nPizPffJ418sx6/pj19ZrZrOfFZN7AM/M5f1az/izOzGsGALyb9xz2AOCocwOJTs6d3siXXnwuv33xx/OlF5+b4uLv/NnNrJ049sCxGWaUzWzW8+K73Xw+6t4p5hz1yDPr+WPW12tms54XdwPP9r2djHw38Fy9uX3YQ1vYzOf8Gc38szgrrxkAsBfxChbkBtLRc/Xmds5cvJ5nXvxczly87gKpuXOnN/LS889mY30tlWRjfS0vPf/sFGFuVrOeF2e9+ZzMG3lmPX/M+nrNbNbz4syBZ+Zz/oxm/llM5rx+mf01AwAWZ9lAWNCs+wzNyhIwR9OM+0LNbNbz4qxL0CXzLjuazHn+mPn1mtWs58WZA8/M5/wZzfyzOOv1y8yvGQCwHOIVLMgNpKNl5j0noItZz4uz3nzeNWPkmZnX62iZ9bw4c+CZ/Zw/m5l/Fme9fpn5NQMAlkO8giVwA+no8A4/OBgznhdnvfkMHIwZz4szBx7n/KNl5p/FWa9fZn7NAIDlEK+AleIdfsAiZrz5DLBfswce5/yjY+afxVmvX2Z+zQCA5agxxoE92dbW1rhx48aBPR/Awx5eMz558x1+Lz3/rAslAGjg6s1tNzMB7nP9AgDMpqpeHmNs7fU4M6+AdzTjzSPv8AOAvh6+Sbt9bycXrtxKEv+vBlaS65ejZ8braAA4DGZeAY/kHX4AwEE7c/H6I5fH2lhfy5defO4QRgQAj2/262hhDoBleNyZV+85iMEAR8+la7cf+Ad3kuy8/kYuXbt9SCMCAGZ35xHh6t2OA0AnM19H74a57Xs7Gfnu7OirN7cPe2gATGqheFVVP1dVv1FVX6+qz1TVH1rWwIDD5eYRAHDQTq2vPdFxAOhk5uvomcMcAD3tO15V1UaSv5Nka4zxw0mOJfnJZQ0MOFxuHgEAB+382c2snTj2wLG1E8dy/uzmIY0IAB7fzNfRM4c56OLqze2cuXg9z7z4uZy5eN3MRlbeossGHk+yVlXHk7w3yZ3FhwR04OYRAHDQzp3eyEvPP5uN9bVU3tzrapZ9QgCY38zX0TOHOejA0pzwvY7v9xPHGNtV9Q+SfDPJTpLPjzE+v7SRAYdq9yaRzVgBgIN07vSGf28AcCTNfB19/uxmLly59cDSgbOEOejg3ZbmnOEcAvux73hVVT+Q5KNJnklyL8m/qqqfGmP8ykOPeyHJC0nygQ98YIGhAgfNzSMAAAB4fLNeR88c5q7e3J7y++JosTQnfK99x6skP5bkt8cYd5Okqq4k+fNJHohXY4zLSS4nydbW1ljg+QAAAACAQzBjmNtdqm13xsvuUm1Jjvz3KsodLafW17L9iFBlaU5W2SJ7Xn0zyZ+tqvdWVSX5cJJXljMsAAAAAICn592WajvK7J909My8Zx7s177j1RjjK0k+m+SrSW7d/1qXlzQuAAAAAICnZtal2maNcjM7d3ojLz3/bDbW11JJNtbX8tLzz5otx0pbZNnAjDF+IckvLGksAAAAAAAHYtal2maNcrObcWlOWMQiywYCAAAAABxJsy7V9k7x7ahHOWC1iFcAAAAAwMqZdam2WaMcsFoWWjYQAAAAAOComnGptt3v59K127lzbyen1tdy/uzmdN8nHLarN7f9PXuKxCsAAAAAgInMGOWgk6s3t3Phyq3svP5GkmT73k4uXLmVJP7uLYl4BQAAAADAkWC2Cx1cunb7rXC1a+f1N3Lp2m0/j0siXgEAAAAA0J7ZLnRx597OEx3nyb3nsAcAAAAAAAB7ebfZLvR09eZ2zly8nmde/FzOXLyeqze3D3tIS3Fqfe2JjvPkxCsAAAAAANoz2+Vo2Z0pt31vJyPfnSk3Q8A6f3YzayeOPXBs7cSxnD+7eUgjmo94BQAAAABAe2a7HC0zz5Q7d3ojLz3/bDbW11JJNtbX8tLzz1q+conseQUAAAAAQHvnz24+sOdVYrZLZ7PPlDt3ekOseorMvAIAAAAAoD2zXY4WM+VYhJlXAAAAAAAcCWa7HB1myrEI8QoAAAAAAFiq3ch46drt3Lm3k1Prazl/dlN85LGIVwAAAAAAwNKZKcd+2fMKAAAAAACANsQrAAAAAAAA2hCvAAAAAAAAaEO8AgAAAAAAoA3xCgAAAAAAgDbEKwAAAAAAANoQrwAAAAAAAGhDvAIAAAAAAKAN8QoAAAAAAIA2xCsAAAAAAADaEK8AAAAAAABoQ7wCAAAAAACgDfEKAAAAAACANsQrAAAAAAAA2hCvAAAAAAAAaEO8AgAAAAAAoA3xCgAAAAAAgDbEKwAAAAAAANoQrwAAAAAAAGhDvAIAAAAAAKAN8QoAAAAAAIA2xCsAAAAAAADaEK8AAAAAAABoQ7wCAAAAAACgDfEKAAAAAACANsQrAAAAAAAA2hCvAAAAAAAAaEO8AgAAAAAAoA3xCgAAAAAAgDbEKwAAAAAAANoQrwAAAAAAAGhDvAIAAAAAAKAN8QoAAAAAAIA2xCsAAAAAAADaEK8AAAAAAABoQ7wCAAAAAACgDfEKAAAAAACANsQrAAAAAAAA2hCvAAAAAAAAaEO8AgAAAAAAoA3xCgAAAAAAgDbEKwAAAAAAANoQrwAAAAAAAGhDvAIAAAAAAKAN8QoAAAAAAIA2xCsAAAAAAADaEK8AAAAAAABoQ7wCAAAAAACgDfEKAAAAAACANsQrAAAAAAAA2hCvAAAAAAAAaEO8AgAAAAAAoA3xCgAAAAAAgDbEKwAAAAAAANoQrwAAAAAAAGhjoXhVVetV9dmq+s2qeqWq/tyyBgYAAAAAAMDqOb7g5/+TJP9xjPHXqur7krx3CWMCAAAAAABgRe07XlXVH0nyF5L8TJKMMf4gyR8sZ1gAAAAAAACsokWWDXwmyd0k/6KqblbVL1bV+5Y0LgAAAAAAAFbQIvHqeJIfSfLPxhink/yfJC8+/KCqeqGqblTVjbt37y7wdAAAAAAAAMxukXj1apJXxxhfuf/nz+bNmPWAMcblMcbWGGPr5MmTCzwdAAAAAAAAs9t3vBpjfCvJ/6yqzfuHPpzkG0sZFQAAAAAAACvp+IKf/7eTfLqqvi/Jf0/yNxcfEgAAAAAAAKtqoXg1xvhakq0ljQUAAAAAAIAVt8ieVwAAAAAAALBU4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0MbC8aqqjlXVzar698sYEAAAAAAAAKtrGTOvfjbJK0v4OgAAAAAAAKy4heJVVb0/yY8n+cXlDAcAAAAAAIBVtujMq3+c5BNJ/t8SxgIAAAAAAMCK23e8qqqfSPLaGOPlPR73QlXdqKobd+/e3e/TAQAAAAAAsAIWmXl1JslfrarfSfIvkzxXVb/y8IPGGJfHGFtjjK2TJ08u8HQAAAAAAADMbt/xaoxxYYzx/jHGB5P8ZJLrY4yfWtrIAAAAAAAAWDmL7nkFAAAAAAAAS3N8GV9kjPFrSX5tGV8LAAAAAACA1WXmFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbew7XlXVD1XVf6qqb1TVb1TVzy5zYAAAAAAAAKye4wt87neS/PwY46tV9f1JXq6qL4wxvrGksQEAAAAAALBi9j3zaozxu2OMr97//f9O8kqSjWUNDAAAAAAAgNWzlD2vquqDSU4n+coyvh4AAAAAAACraeF4VVV/OMm/TvJ3xxj/6xEff6GqblTVjbt37y76dAAAAAAAAExsoXhVVSfyZrj69BjjyqMeM8a4PMbYGmNsnTx5cpGnAwAAAAAAYHL7jldVVUl+KckrY4x/uLwhAQAAAAAAsKoWmXl1JsnfSPJcVX3t/n9/ZUnjAgAAAAAAYAUd3+8njjH+c5Ja4lgAAAAAAABYcQvteQUAAAAAAADLJF4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAAAALQhXgEAAAAAANCGeAUAAAAAAEAb4hUAAAAAAABtiFcAAAAAAAC0IV4BAAAAAADQhngFAAAAAABAG+IVAAAAAAAAbYhXAAAAAAAAtCFeAQAAAAAA0IZ4BQAAAAAAQBviFQAAAAAAAG2IVwAAAAD/v727D7arKu84/n1ICAgYCSAWQQFf0GYqIlIGW1GUooBWnb4ZqxWLDuNLZ9QO08Hpy+ioU7HWQYujZXyp1orvKCqKqcLgVFFeDCEhAgGpBKNolQJaRfTpH2tdcxJMcu+565y9z873M3PmnrvPuSvrl3X23uvstffakiRJ6g0HryRJkiRJkiRJktQbDl5JkiRJkiRJkiSpNxy8kiRJkiRJkiRJUm84eCVJkiRJkiRJkqTecPBKkiRJkiRJkiRJveHglSRJkiRJkiRJknrDwStJkiRJkiRJkiT1hoNXkiRJkiRJkiRJ6g0HryRJkiRJkiRJktQbDl5JkiRJkiRJkiSpNxy8kiRJkiRJkiRJUm84eCVJkiRJkiRJkqTecPBKkiRJkiRJkiRJveHglSRJkiRJkiRJknqhfV5YAAAQh0lEQVTDwStJkiRJkiRJkiT1hoNXkiRJkiRJkiRJ6g0HryRJkiRJkiRJktQbDl5JkiRJkiRJkiSpNxy8kiRJkiRJkiRJUm84eCVJkiRJkiRJkqTecPBKkiRJkiRJkiRJveHglSRJkiRJkiRJknrDwStJkiRJkiRJkiT1hoNXkiRJkiRJkiRJ6o1FDV5FxMkRcX1EbIyIs1pVSpIkSZIkSZIkSbumsQevImIJ8A7gFGAl8LyIWNmqYpIkSZIkSZIkSdr1LObKq2OBjZl5c2beA3wYeHabakmSJEmSJEmSJGlXtJjBq4OBW0d+31SXSZIkSZIkSZIkSWNZOul/ICLOAM6ov94dEddP+t8ckAOAH3ZdiQkYai4YbjZzzZ6hZhtqLhhuNnPNnqFmM9fsGWo2c82eoWYz1+wZajZzzZ6hZjPX7BlqNnPNniFnm4RD5/OmxQxe3QY8ZOT3Q+qyrWTmecB5i/h3dlkRcWVmHtN1PVobai4YbjZzzZ6hZhtqLhhuNnPNnqFmM9fsGWo2c82eoWYz1+wZajZzzZ6hZjPX7BlqNnPNniFn69Jipg28AnhkRBweEcuAVcCFbaolSZIkSZIkSZKkXdHYV15l5r0R8VfAxcAS4L2Zub5ZzSRJkiRJkiRJkrTLWdQ9rzLzIuCiRnXRfQ11usWh5oLhZjPX7BlqtqHmguFmM9fsGWo2c82eoWYz1+wZajZzzZ6hZjPX7BlqNnPNnqFmM9fsGXK2zkRmdl0HSZIkSZIkSZIkCVjcPa8kSZIkSZIkSZKkphy8mqKIeG9E3B4R60aWPTYivhYR10bEZyJieV2+LCLeV5dfExEnjPzN4+vyjRHx9oiIDuJspWG2N0bErRFxdwcx7qNFrojYKyI+FxHfioj1EfGmjuJspWGbfaEuWx8R74qIJR3E+bVWuUb+9sLRsrrSsL0ujYjrI2JNfRzYQZytNMy2LCLOi4gb6vr2xx3E+bVG24/7j7TVmoj4YUSc01GkuQyt2ut5dfnauh05oIM4W2mY7bk11/qIOLuDKFuJiIdExCURcV2t0yvr8v0iYnVE3Fh/rqjLI0r/YmPNcfRIWafV998YEad1lanWpWWuL0TEHRHx2a7yjNSlSa6IOKp+dtfX5c/tMletU6tsh0bE1XW7uD4iXjqEXCPlLY+ITRFxbhd5RurRch37ZWzZl13YVaaR+rTM9tCI+GJEbKjlHdZNqqbr2FNi6/7HzyLiOV3lapmtvvbmWsaG6Pj7dONcZ0fEuvrodJs/Rq5HR9ln/TwiztymrJOjfH/ZGBFndZFnpC4tc92n39mlVtm2V05XGubaMyK+EVuOfbyuq0wjdWr2eayvL4mIb0bH/eHG69ktUb6vrYmIK7vIM1KXlrn2jYiPRznusSEintBFppH6tFrPHhVb9z/ujIhXzXqu+tqraxnrIuL8iNizi0wzKTN9TOkBPAk4Glg3suwK4Mn1+enA6+vzVwDvq88PBK4Cdqu/fwM4Dgjg88ApA8p2HHAQcHfXmVrlAvYCnlKXLwO+MrA2W15/BvAJYNUQctVlfwR8aLSsWc8FXAoc03WeCWV7HfCG+nw34IAh5NqmzKuAJ816Lso9N2+fayPgzcBrh/BZBPYHvgM8sL72fuDEjnMdBBxdn98fuAFYWf/fz6rLzwLOrs9PpfQvgrJf/npdvh9wc/25oj5fMeu56msnAn8IfLYHn8NW7XUE8Mj6/MHAZmDfgWRbBuxRn+8D3AI8eNZzjZT3Nkr/49whtFd9rRd9+wlluxQ4aeTzuNcQco2UuR/woy5ztcwG/B7wX8CS+vgacMIAcj0DWE3pY+1N6b8sn6FcBwK/C7wROHOknCXATcDDKNv+a4CVs56rvnaffmeXj4Zt9hvLGUCuAPapz3cHvg4cN4Q2Gynvryn9j077w43Xs1vo+LjAhHK9H3hJfb6M2evj7/CzWN+zBPgecOis5wIOBr4N3K/+/lHgRV1/Jmfl4ZVXU5SZl1E6/qOOAC6rz1cDc1cKrAS+XP/uduAO4JiIOIjSCb08yyf+A0CnZ8FBm2z198szc/PEKzxPLXJl5k8z85K6/B7gauCQCVd9pxq22Z31PUspO82cXK13rlWuiNiH0nl7w4SrPC+tcvVRw2ynA/9YX/tVZv5wgtXeqdZtFhFHUDpDX5lQleelUa6oj70jIoDlwHcnW/Oda5TtYcCNmfmD+r7/HPmbTmTm5sy8uj6/C9hA6UA/m/LFh/pzrj/xbOADWVwO7Fv7H08HVmfmjzLzx5T/j5OnGGUrDXORmV8C7ppm/benVa7MvCEzb6zlfJcyYPzAKUa5j4bZ7snMn9f37EHHs0m0/CxGxOOBBwFfnGKE36hlrr5plS0iVgJLM3N1LevuzPzpNLOMmlCb/Qnw+S5zQdNsCexJHQSnHIT+/tSCbKNhrpXAZZl5b2b+BFjLDO2jM/P2zLwC+MU2RR0LbMzMm+t36Q/XMjrRMNf2+p2daZVtB+V0omGuzMy5GYJ2r4+uj300+zxGxCGUQfB3T6HqO9QyV5+0yhURD6AMfr+nvu+ezLxjKiG2Y0JtdiJwU2b+98QqvhONcy0F7hcRSykXOXR+/GNWOHjVvfVs6Xz9KfCQ+vwa4FkRsTQiDgceX187GNg08veb6LAjsBMLzTYrxs4VEftSzuz+0pTqulBjZYuIiykHxe4CPj696s7bOLleD/wz0OkX9Z0Y97P4vnoJ9t/XgYM+WlC2um4BvD7KVFIfi4gHTbfK87KY7eIq4COZ2emXpO1YUK7M/AXwMuBaSqdtJbXz3UMLbbONwKMi4rDaMX0OPdrHRZnO6nGUs0UflFtOGPke5YA5lH7FrSN/NtfX2N7yzi0yV2+1yhURx1IO1N40weouyGKz1Wk81tbXz84yQNe5xeSKiN0ofY/7TOXTtQafxT0j4sqIuDw6nn5uW4vMdgRwR0R8MspUS/8UHU+hPafhdnEVcP7EKjqGxWTLzK8Bl1CuRt0MXJyZG6ZQ7Z1aZJtdA5wcZcr6A4Cn0JP+xzxzbU9v992LzNVrrbJtU07nFpsryrR6ayjHPlZnZi9yQZM2Owf4G+BXk6jfuBrkSuCLEXFVRJwxkUqOYZG5Dgd+QDmu882IeHdE7D2pui5Uw21jr/ofi8mVmbcBb6HM0LIZ+N/M7PxEtVnh4FX3TgdeHhFXUS5BvKcufy+lY3YlZSfyVeCXndRwfEPNNlauehDzfODtmXnzVGs8f2Nly8ynUy6n3QN46jQrPE8LyhURRwEPz8wLuqjsAozTXs/PzMcAx9fHX0y1xvO30GxLKVc0fjUzj6ZMAfOWaVd6HhazXexV520bC13HdqcMXj2OMp3ZWuA10670PC0oW5Yrkl4GfIRyldwt9GQfV68o/QTwqtxy1SxQzial47NHx2WunZZzEPDvwF9mZi8OSLTIlpm3ZuaRwCOA0/pwwkKDXC8HLsrMTTt531Q1+iwempnHAH8OnBMRD29f04VrkG0ppT91JmWamIcBL2pf04VpvP14DHBx80qOabHZIuIRwG9T+o0HA0+NiOMnVN15W2yuehDsIkp/5HxKX7jz/of76NnTcPux3XK60Kjv8cvMPIqy/Tg2In5nIpVdoAbbxWcCt2fmVZOr5cI1+iw+sR4fOAV4RUQ8qX1NF6ZR3+No4J2Z+TjgJ5Sp6zrXcPuxDHgW8LHmlRxDg3VsBeWE2MMpxz/2jogXTKi6g7O06wrs6jLzW8DT4NdTQj2jLr8XePXc+yLiq5S5NX/M1lPOHQLcNq36LsQY2WbCInKdR5lK6pzp1XZhFtNmmfmziPg0ZYO8elp1no8xcj2ZMk3nLZTt5IERcWlmnjDdmu/YOO1Vz/ggM++KiA9RpuL4wHRrvnNjZPsfylVyn6wvfQx48RSrPC/jrmMR8VjKtES9+kIxZ4xcR9XXb6rLP0pPOtzbGnM9+wzwmbr8DPpx8Gh3Sof7PzJzbj35fpQp2DbXA5S31+W3sfXZ2nN9jduAE7ZZfukk670zjXL1TqtcEbEc+Bzwt1mml+pc6zbLzO9Gudn98XR49XejXE8Ajo+Il1PunbQsIu7OzM62j63aa6T/cXNEXEo5eaHTKwEbZVsKrJk7MS0iPkW5D1FnVxM3Xsf+DLggyxXTnWuU7QXA5Vmn/4qIz1PWvc6mZW64nr2Rcp8Naj+/0+/YC8y1Pb3bdzfK1Uutsm2nnM60brPMvCMiLqFMzbmufY3nr1G236fMKHEqZVrV5RHxwczs7OB6qzYb6X/cHhEXUI5/XLbjv5qcRrk2AZtyy5V/H6cH36Ubr2enAFdnZmfT+s5plOsPgG9nvbVARHyScg/OD06q3kPilVcdi4gD68/dgL8D3lV/3yvqZZ8RcRJwb2Zel+WyxDsj4riICOCFwKe7qf2OLTRbZxVdoHFyRcQbgAcAr+qk0vO00GwRsU9suUfDUspB3W91UvkdGGM9e2dmPjgzDwOeCNzQt4ErGKu9lkaZRmRuB/xMOu5sb88YbZaUwYITahEnAr3brixiu/g8+nvV1Ti5bgNWRsTc/XdOoswf3TtjbvPn/mYF5UqKTueOr/2F9wAbMvOtIy9dCJxWn5/Glv7EhcALoziOMq3BZsqZ90+LiBU129Po8Gz8hrl6pVWuKGcsXkC5N0ovpvRtmO2QiLhfLXMFZV99/VRC/AatcmXm8zPzobX/cSal7bocuGrVXisiYo9a5gGUg2Sd7qMbbj+uoNxzaG5/9lQ6zDaB7WJv+h8Ns30HeHLtF+9OOWmtsz5Iw/VsSUTsX8s8EjiSDu+dN0au7bkCeGREHF73a6tqGZ1omKt3WmXbQTmdaJjrgVGnqq99kJPo+NhHq2yZ+ZrMPKT2P1YBX+544KpVm+0dEfefe0757tLZ8Y+G7fU94NaIeFRd1PmxjwlsG3vR/2iY6zvAcfUYQlDarJfHP3opM31M6UFZ8TZTbty2iXJVwCspZ0TdALwJiPrewyhfwjdQbvZ+6Eg5x1A2uDcB5879zUCyvbn+/a/qz9fOei7K2WFZl6+pj5cMoc0o87peQZnyax3wL5SrQ2Y61zblHQasG0h77Q1cVdtrPfA2YMkQstXXDqWcRbWWcl+5hw4hV339ZuDRXbdV4/Z6aV2+ljLwuP+Asp1P+QJxHbCqB7meSNkPrWXLfuhUYP+6rtxYM+xX3x/AOyj9jGuBY0bKOp1yX6+NlGnohpLrK5S54/+vtv3TZz0X5eqCX4yUsQY4aghtRjlgtJZyj5e1wBlDyLVNmS8Czh1CLsqZpdfW9roWeHGXuVq32cjn8Vrg34BlA8l1GOVkk926bq/Gn8clwL9S9t/XAW8dSK492dL3uJzZ297/FmX/eydwR32+vL52KqUfdhPlSuKh5LpPv3MI2bZXzgByHQl8ky3HPv6hy/Zq/XkcKfME4LNDyEWZyvea+lg/sO3HUZTp69cCnwJWDCjb3pSZdR7QZaYJ5HodZcB7HWVK9z26zjcrj7kDMJIkSZIkSZIkSVLnnDZQkiRJkiRJkiRJveHglSRJkiRJkiRJknrDwStJkiRJkiRJkiT1hoNXkiRJkiRJkiRJ6g0HryRJkiRJkiRJktQbDl5JkiRJkiRJkiSpNxy8kiRJkiRJkiRJUm84eCVJkiRJkiRJkqTe+H/IS3qMDaSq/wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##Creating graph from different years##\n",
    "keys = list(withYearsMeans.keys())\n",
    "values = list(withYearsMeans.values())\n",
    "fontImp = {'family' : 'sans-serif',\n",
    "        'weight' : 'bold',\n",
    "        'size'   : 15}\n",
    "plt.figure(figsize=(30,10))\n",
    "plt.ylim(0, 14)\n",
    "matplotlib.rc('font', **fontImp)\n",
    "plt.scatter(keys,values)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we see that there is minimal correlation between the years and acid. This means that an analysis of of the acids in general is possible, while disregarding years. We can see a map to learn more about acidity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "##Graph of pH of different places.##\n",
    "analyzed = medians\n",
    "fontImp = {'family' : 'sans-serif',\n",
    "        'weight' : 'bold',\n",
    "        'size'   : 20}\n",
    "matplotlib.rc('font', **fontImp)\n",
    "plt.figure(figsize=(20,20))\n",
    "plt.bar(analyzed.keys(), analyzed.values(), width = .5, color='g')\n",
    "rot = plt.xticks(rotation=90)\n",
    "xLabel = plt.xlabel(\"Location\")\n",
    "yLabel = plt.ylabel(\"pH Value\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This map gives a considerable amount of insight, but unfortunately we cannot sufficiently understand the results via location. We should learn more about the relationships between them by putting them on a map indicated by latitute and longitude."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "##Defining the acidities, for map plot\n",
    "acidityLevels = ['#4577f7', '#648ffc','#81a3f9', '#9cb7fc', '#bacdfc', '#f9f9f9', '#fce8e8', '#f2c9c9', '#f2b0b0', '#f29b9b','#f28787'] \n",
    "##Reversing List##\n",
    "acidityLevels = list(reversed(acidityLevels))\n",
    "waterQualpHMapping = waterQualpH[['longitude','latitude', 'result', 'sampledate']]\n",
    "waterQualpHMapping = waterQualpHMapping.dropna(how = 'any')\n",
    "latLong = {}\n",
    "##Creating acidity markers\n",
    "for i in range(0,11):\n",
    "    subset = pd.to_numeric(waterQualpH['result'], downcast='float')\n",
    "    numRange = .4 * i + 5\n",
    "    longlat = waterQualpH.loc[((subset > numRange) & (subset<(numRange+.4)))]\n",
    "    tempList = [list(longlat['longitude']), list(longlat['latitude'])]\n",
    "    tempList[0] = [elem for elem in tempList[0] if pd.notnull(elem)]\n",
    "    tempList[1] = [elem for elem in tempList[1] if pd.notnull(elem)]\n",
    "    latLong[i] = [float(x) for x in tempList[0]], [float(x) for x in tempList[1]]\n",
    "##List Values\n",
    "longValue = 0\n",
    "latValue = 1\n",
    "b = list(waterQualpHMapping['result'])\n",
    "a = list(waterQualpHMapping['sampledate'])\n",
    "textFile = [\"Year: \" + m+ \"<br>\" + \"pH: \" +(n) for m,n in zip(a,b)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "##pH Calculations, separated by location##\n",
    "acidityDict = {}\n",
    "\n",
    "long = [float(x) for x in list(waterQualpHMapping['longitude'])]\n",
    "lat = [float(y) for y in list(waterQualpHMapping['latitude'])]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/mpl_toolkits/basemap/__init__.py:1704: MatplotlibDeprecationWarning:\n",
      "\n",
      "The axesPatch function was deprecated in version 2.1. Use Axes.patch instead.\n",
      "\n",
      "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/mpl_toolkits/basemap/__init__.py:1707: MatplotlibDeprecationWarning:\n",
      "\n",
      "The axesPatch function was deprecated in version 2.1. Use Axes.patch instead.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 3600x3600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "margin = 2 # buffer to add to the range\n",
    "lat_min = min(lat) - margin\n",
    "lat_max = max(lat) + margin\n",
    "long_min = min(long) - margin\n",
    "long_max = max(long) + margin\n",
    "lons = []\n",
    "lats = []\n",
    "plt.figure(figsize=(50,50))\n",
    "##create map using basemap##\n",
    "m = Basemap(llcrnrlon=long_min,\n",
    "            llcrnrlat=lat_min,\n",
    "            urcrnrlon=long_max,\n",
    "            urcrnrlat=lat_max,\n",
    "            lat_0=(lat_max - lat_min)/2,\n",
    "            lon_0=(long_max-long_min)/2,\n",
    "            projection='merc',\n",
    "            resolution = 'f',\n",
    "            area_thresh=.1,\n",
    "            )\n",
    "\n",
    "m.drawcoastlines()\n",
    "m.drawcountries()\n",
    "m.fillcontinents(color='lightgrey')\n",
    "m.drawmapboundary()\n",
    "\n",
    "##convert lat and long to map projection coordinates##\n",
    "for i in range(0,11):\n",
    "    ##Indexing into certain value in latlong with the coordinates##\n",
    "    longitudeM, latitudeM  = m(latLong[i][longValue], latLong[i][latValue])\n",
    "    lons.append(longitudeM)\n",
    "    lats.append(latitudeM)\n",
    "\n",
    "##plot points as red to blue dots, based on acidity##\n",
    "for j in range(0,11):\n",
    "    m.scatter(lons[j], lats[j], marker = '.', color=acidityLevels[j], zorder=10)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This map is helpful, but we try to use a different module so as to analyze it better."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~aksramk/2.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##Plotly Graph\n",
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "import plotly\n",
    "import random\n",
    "\n",
    "\n",
    "    \n",
    "\n",
    "\n",
    "plotly.tools.set_credentials_file(username='aksramk', api_key='MR7XjZwGfIQQpfkmMwaL')\n",
    "mapbox_access_token = 'pk.eyJ1IjoiYWtzcmFtayIsImEiOiJjam5tNGhoNjEwNDRzM3dubnpxaW50M2lnIn0.BLznKPgvlgbYD0XmqSHAWw'\n",
    "scl = [ [.09,\"rgb(69,119,247)\"],[.181,\"rgb(100,143,252)\"],[.272,\"rgb(129,163,249)\"],\\\n",
    "    [.363,\"rgb(156,183,252)\"],[.454,\"rgb(186,205,252)\"],[.545,\"rgb(249,249,249)\"],\\\n",
    "    [.636, 'rgb(252,232,232)'], [.727, 'rgb(242,201,201)'], [.818, 'rgb(242,176,176)'], [.909, 'rgb(242,155,155)'], [1.0, 'rgb(242,135,135)']]\n",
    "\n",
    "data = [\n",
    "    go.Scattermapbox(\n",
    "        lat=lat,\n",
    "        lon=long,\n",
    "        mode='markers',\n",
    "        marker=dict(\n",
    "            \n",
    "            size=5,\n",
    "            reversescale = True,\n",
    "            autocolorscale = False,\n",
    "            colorscale = scl,\n",
    "            cmin = 0,\n",
    "            color= [float(x) for x in waterQualpHMapping['result']],\n",
    "            cmax = 14,\n",
    "            colorbar=dict(\n",
    "                title=\"pH Values\"\n",
    "            ),\n",
    "        ),\n",
    "\n",
    "        text=textFile,\n",
    "        hoverinfo = \"text\",\n",
    "    )\n",
    "]\n",
    "\n",
    "layout = go.Layout(\n",
    "    autosize=True,\n",
    "    hovermode='closest',\n",
    "    mapbox=dict(\n",
    "        accesstoken=mapbox_access_token,\n",
    "        bearing=0,\n",
    "        center=dict(\n",
    "            lat=37,\n",
    "            lon=-122\n",
    "        ),\n",
    "        pitch=0,\n",
    "        zoom=5\n",
    "    ),\n",
    ")\n",
    "\n",
    "fig = dict(data=data, layout=layout)\n",
    "\n",
    "py.iplot(fig, filename='pH Value')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From this map, we can learn a lot about pH. pH is supposed to be approximately 8.0 for the bay, so everything being blue is normal. There is, however, quite a bit of acidic water around Alameda Island, more than in any other area. This is important analysis, that shows the most acidic water in the bay."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creating data from mercury, taken from the water\n",
    "resultsNumeric = waterQual['result']\n",
    "resultsNumeric = resultsNumeric.apply(pd.to_numeric)\n",
    "waterQualMercury = waterQual.loc[((waterQual['analyte'] == 'Mercury') & (waterQual['testmaterial'] == 'water') & \\\n",
    "                                  (waterQual['unitname'] == 'ug/l') & (resultsNumeric < 1)) | \\\n",
    "                                 ((waterQual['analyte'] == 'Mercury') & (waterQual['testmaterial'] == 'water') & \\\n",
    "                                  (waterQual['unitname'] == 'ng/l') & (resultsNumeric < 1000))]\n",
    "waterQualMercury = waterQualMercury[['longitude','latitude', 'unitname', 'result', 'sampledate', 'sampleyear']]\n",
    "waterQualMercury = waterQualMercury.dropna(how = 'any')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#Calculating results and converting nanograms into micrograms\n",
    "resultsUG = waterQualMercury.loc[(waterQualMercury['unitname'] == 'ug/l')]['result']\n",
    "resultsUG = [float(x) for x in resultsUG]\n",
    "resultsNG = waterQualMercury.loc[(waterQualMercury['unitname'] == 'ng/l')]['result']\n",
    "resultsNG = [((float(x))/1000) for x in resultsNG]\n",
    "longitudes = list(waterQualMercury.loc[(waterQualMercury['unitname'] == 'ug/l')]['longitude'])+ \\\n",
    "            list(waterQualMercury.loc[(waterQualMercury['unitname'] == 'ng/l')]['longitude'])\n",
    "\n",
    "latitudes = list(waterQualMercury.loc[(waterQualMercury['unitname'] == 'ug/l')]['latitude'])+ \\\n",
    "            list(waterQualMercury.loc[(waterQualMercury['unitname'] == 'ng/l')]['latitude'])\n",
    "date = list(waterQualMercury.loc[(waterQualMercury['unitname'] == 'ug/l')]['sampledate'])+ \\\n",
    "            list(waterQualMercury.loc[(waterQualMercury['unitname'] == 'ng/l')]['sampledate'])\n",
    "\n",
    "year = list(waterQualMercury.loc[(waterQualMercury['unitname'] == 'ug/l')]['sampleyear'])+ \\\n",
    "            list(waterQualMercury.loc[(waterQualMercury['unitname'] == 'ng/l')]['sampleyear'])\n",
    "\n",
    "results = resultsUG + resultsNG\n",
    "textFile = [\"Year: \" + m+ \"<br>\" + \"Concentration of Mercury (ug/l): \" +(n) for m,n in zip(date,[str(x) for x in results])]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.10861930483713889"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compare1  =waterQualMercury['sampleyear'].apply(pd.to_numeric)\n",
    "compare2  =waterQualMercury['result'].apply(pd.to_numeric)\n",
    "compare1.corr(compare2)\n",
    "##There is small correlation between year and pH, but mercury has gone up as the years have gone by..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~aksramk/4.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import plotly.graph_objs as go\n",
    "import plotly\n",
    "import random\n",
    "##Plotly graph of mercury concentration##\n",
    "    \n",
    "\n",
    "colorVal = [float(x) for x in list(waterQualpH['result'])]\n",
    "plotly.tools.set_credentials_file(username='aksramk', api_key='MR7XjZwGfIQQpfkmMwaL')\n",
    "mapbox_access_token = 'pk.eyJ1IjoiYWtzcmFtayIsImEiOiJjam5tNGhoNjEwNDRzM3dubnpxaW50M2lnIn0.BLznKPgvlgbYD0XmqSHAWw'\n",
    "scl = [ [.09,\"rgb(69,119,247)\"],[.181,\"rgb(100,143,252)\"],[.272,\"rgb(129,163,249)\"],\\\n",
    "    [.363,\"rgb(156,183,252)\"],[.454,\"rgb(186,205,252)\"],[.545,\"rgb(249,249,249)\"],\\\n",
    "    [.636, 'rgb(252,232,232)'], [.727, 'rgb(242,201,201)'], [.818, 'rgb(242,176,176)'], [.909, 'rgb(242,155,155)'], [1.0, 'rgb(242,135,135)']]\n",
    "\n",
    "data = [\n",
    "    go.Scattermapbox(\n",
    "        lat=latitudes,\n",
    "        lon=longitudes,\n",
    "        mode='markers',\n",
    "        marker=dict(\n",
    "            \n",
    "            size=5,\n",
    "            reversescale = True,\n",
    "            autocolorscale = False,\n",
    "            colorscale = scl,\n",
    "            cmin = 0,\n",
    "            color= results,\n",
    "            cmax = .05,\n",
    "            colorbar=dict(\n",
    "                title=\"Concentration of Mercury\"\n",
    "            ),\n",
    "        ),\n",
    "        text=textFile,\n",
    "        hoverinfo = \"text\"\n",
    "    )\n",
    "]\n",
    "\n",
    "layout = go.Layout(\n",
    "    autosize=True,\n",
    "    hovermode='closest',\n",
    "    mapbox=dict(\n",
    "        accesstoken=mapbox_access_token,\n",
    "        bearing=0,\n",
    "        center=dict(\n",
    "            lat=37,\n",
    "            lon=-122\n",
    "        ),\n",
    "        pitch=0,\n",
    "        zoom=5\n",
    "    ),\n",
    ")\n",
    "\n",
    "fig = dict(data=data, layout=layout)\n",
    "\n",
    "py.iplot(fig, filename='Concentration of Mercury')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "San Joaquin River, among all rivers, has a significant amount of mercury, and considering the minimal correlation between time and mercury, this is important to consider when talking about Mercury. Mostly, however, throughout the bay, there is basically no Mercury. Also, in general, the amount of Mercury is not enough to be a safety issue, so it isn't the biggest issue."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dangerous pesticides: https://www.biologicaldiversity.org/campaigns/pesticides_reduction/pdfs/74_pesticides.pdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "compareList = list(set(list(waterQual['analyte'])).intersection(set(list(waterQual['analyte']))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "validPesticides = ['Acrolein', 'Alachlor', 'Aldicarb', 'Atrazine', \\\n",
    "                  'Bensulide', 'Bifenthrin', 'Carbaryl', 'Carbofuran',\\\n",
    "                  'Chlorothalonil', 'Chlorpyrifos', 'Cyhalothrin', 'Deltamethrin',\\\n",
    "                  'Diazinon', 'Dimethoate', 'Disulfoton', 'Esfenvalerate', 'Ethoprop',\\\n",
    "                  'Fenpropathrin', 'Fipronil', 'Fluvalinate', 'Imidacloprid', 'Malathion',\\\n",
    "                  'Methamidophos', 'Methidathion', 'Methomyl', 'Methoprene', 'Metolachlor',\\\n",
    "                  'Naled', 'Oryzalin', 'Oxyfluorfen', 'Pendimethalin', 'Phenothrin', 'Phorate',\\\n",
    "                  'Propargite', 'Resmethrin', 'Simazine', 'Tetramethrin', 'Thiobencarb', 'Warfarin', \\\n",
    "                 'Glyphosate', 'Paraquat', 'Dichloropropane, 2,4-']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Which pesticides? Glyphosate, Paraquat, Atrazine\n"
     ]
    }
   ],
   "source": [
    "##User inputs pesticides of interest##\n",
    "\n",
    "while True:\n",
    "    try:\n",
    "        pesticides = []\n",
    "        p = input(\"Which pesticides? \")\n",
    "        if p == 'all':\n",
    "            pesticides = validPesticides\n",
    "            break\n",
    "        p = p.split(', ')\n",
    "        if len(p)==1 and ':' in p[0]:\n",
    "            p = p[0]\n",
    "\n",
    "        try:\n",
    "            check = int(p[0:1])\n",
    "            p = p.split(':')\n",
    "            for j in range(int(p[0]),min(int(p[1]), len(validPesticides))):\n",
    "                if validPesticides[j] in compareList:\n",
    "                    pesticides.append(validPesticides[j])\n",
    "\n",
    "        except TypeError:\n",
    "            for i in p:\n",
    "                if i in compareList:\n",
    "                    pesticides.append(i)\n",
    "                else:\n",
    "                    print(\"Sorry, the pesticide \" + i + \" is not in the database. It will not be included in any map.\")\n",
    "        break\n",
    "        break\n",
    "    except TypeError:\n",
    "        print(\"Sorry, that is not a valid input.\\n\")\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Glyphosate', 'Paraquat', 'Atrazine']\n"
     ]
    }
   ],
   "source": [
    "waterQualPesticides = waterQual[['sampledate', 'longitude', 'latitude', 'result', \\\n",
    "                                 'analyte', 'unitname', 'testmaterial', 'sampleyear']]\n",
    "waterQualPesticides = waterQualPesticides.loc[(waterQualPesticides['analyte'].isin(pesticides)) & \\\n",
    "                        (waterQual['testmaterial'] == 'water')]                  \n",
    "waterQualPesticides = waterQualPesticides.loc[(waterQualPesticides['result'] != '0')]\n",
    "waterQualPesticides['unitname'].unique()\n",
    "print(pesticides)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "resultsUG = waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'ug/l')]['result']\n",
    "resultsUG = [float(x) for x in resultsUG]\n",
    "resultsNG = waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'ng/l')]['result']\n",
    "resultsNG = [(float(x))/1000 for x in resultsNG]\n",
    "resultsPG = waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'pg/l')]['result']\n",
    "resultsPG = [(float(x))/1000000 for x in resultsPG]\n",
    "longitudes = list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'ug/l')]['longitude'])+ \\\n",
    "            list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'ng/l')]['longitude']) +\\\n",
    "            list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'pg/l')]['longitude'])\n",
    "\n",
    "latitudes = list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'ug/l')]['latitude'])+ \\\n",
    "            list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'ng/l')]['latitude'])+\\\n",
    "            list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'pg/l')]['latitude'])\n",
    "\n",
    "date = list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'ug/l')]['sampledate'])+ \\\n",
    "            list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'ng/l')]['sampledate'])+\\\n",
    "            list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'pg/l')]['sampledate'])\n",
    "\n",
    "pesticideTypes = list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'ug/l')]['analyte'])+ \\\n",
    "            list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'ng/l')]['analyte']) +\\\n",
    "            list(waterQualPesticides.loc[(waterQualPesticides['unitname'] == 'pg/l')]['analyte'])\n",
    "results = resultsUG + resultsNG + resultsPG\n",
    "textFile = [\"Year: \" + m+ \"<br>\" + \"Concentration of \" + l + \"(ug/l): \" +(n) for m,n,l in zip(date,[str(x) for x in results], pesticideTypes)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~aksramk/6.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "    \n",
    "\n",
    "colorVal = [float(x) for x in list(waterQualpH['result'])]\n",
    "plotly.tools.set_credentials_file(username='aksramk', api_key='MR7XjZwGfIQQpfkmMwaL')\n",
    "mapbox_access_token = 'pk.eyJ1IjoiYWtzcmFtayIsImEiOiJjam5tNGhoNjEwNDRzM3dubnpxaW50M2lnIn0.BLznKPgvlgbYD0XmqSHAWw'\n",
    "scl = [ [.09,\"rgb(69,119,247)\"],[.181,\"rgb(100,143,252)\"],[.272,\"rgb(129,163,249)\"],\\\n",
    "    [.363,\"rgb(156,183,252)\"],[.454,\"rgb(186,205,252)\"],[.545,\"rgb(249,249,249)\"],\\\n",
    "    [.636, 'rgb(252,232,232)'], [.727, 'rgb(242,201,201)'], [.818, 'rgb(242,176,176)'], [.909, 'rgb(242,155,155)'], [1.0, 'rgb(242,135,135)']]\n",
    "\n",
    "data = [\n",
    "    go.Scattermapbox(\n",
    "        lat=latitudes,\n",
    "        lon=longitudes,\n",
    "        mode='markers',\n",
    "        marker=dict(\n",
    "            \n",
    "            size=5,\n",
    "            reversescale = True,\n",
    "            autocolorscale = False,\n",
    "            colorscale = scl,\n",
    "            cmin = 0,\n",
    "            color= results,\n",
    "            cmax = .05,\n",
    "            colorbar=dict(\n",
    "                title=\"Concentration of Pesticides\"\n",
    "            ),\n",
    "        ),\n",
    "        text=textFile,\n",
    "        hoverinfo = \"text\"\n",
    "    )\n",
    "]\n",
    "\n",
    "layout = go.Layout(\n",
    "    autosize=True,\n",
    "    hovermode='closest',\n",
    "    mapbox=dict(\n",
    "        accesstoken=mapbox_access_token,\n",
    "        bearing=0,\n",
    "        center=dict(\n",
    "            lat=37,\n",
    "            lon=-122\n",
    "        ),\n",
    "        pitch=0,\n",
    "        zoom=5\n",
    "    ),\n",
    ")\n",
    "\n",
    "fig = dict(data=data, layout=layout)\n",
    "\n",
    "py.iplot(fig, filename='Concentration of Pesticides')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Website for EXTRA dangerous pesticides: https://www.revealnews.org/article-legacy/5-pesticides-used-in-us-are-banned-in-other-countries/\n",
    "Of these pesticides, there are many in the dataset concentrated in different places: For instancethere is quite a bit of Atrazine and Glyphosate, which are both extremely dangerous pesticides. The pesticide Paraquat, which has extreme direct connections to Parkinson's disease is found as well. These findings are important to investigating dangerous but commonly used pesticides."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "In the 1990s, San Francisco Bay Area creeks water bodies were found to exceed water quality standards for aquatic toxicity, primarily due to runoff of the common insecticide diazinon. Diazinon was commonly used throughout the Bay Area to manage a broad spectrum of pests, such as ants and grubs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tule and Saint Johns River have glyphosate, atrazine, and paraquat."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Abstract\n",
    "If you want to run some of the cells in the notebook, just download this .ipynb and run in on Jupyet Notebook, there is a option to do so at the top of nbviewer.\n",
    "## pH in the bay\n",
    "To understand the effects of pH in the bay, and to gain familiarity with the data, I started off by finding the correlation between the year and the acidity. Although over the years, the acidity has increased, it was by a minimal amount, and finding and analyzing the most acidic areas is most important. I plotted the data in a bar graph using the locations provided in the data, and found that Los Angeles was the most acidic location, on average. However, I thought that plotting the data based on precise values, like longitude and latitude values, might be more helpful. To do this, I plotted the data using plotly and basemap (separately), giving each data point its year and pH values. This map can be found above, along with the bar graph. The datapoints are coloured based on their values. Almost all of the values are basic, as they should be in the bay. The only acidic values are all around southeast Alameda, and the measurements are relatively recent, in 2015. If there was any area that should be flagged for concern in terms of acidity, it should be Alameda.\n",
    "\n",
    "## Mercury in the bay\n",
    "Next, to understand, Mercury, I found the correlation between the year and the acidity. Similarly to pH, the concentrations have rised slightly over the years, yet none of the values seemed to be cause for concern. I graphed the data with plotly, after converting units to micrograms/liter and is availible above. An unsafe amount of mercury in water is classified as 2 micrograms/liter, and none of the mercury measurements came close to this level. However, the San Joaquin River had consistently high measurements of mercury, at about 0.1 ug/L. There have also been articles concerning contaminated fish around these areas, flagging them for concern. These datapoints, however, were almost a decade ago, so may have changed in recent years, possibly for the worse.\n",
    "https://www.ncbi.nlm.nih.gov/pubmed/20176346\n",
    "\n",
    "## Pesticides in the bay\n",
    "In order to get more insight into the bay as a whole, I searched up a list of concerning pesticides in the bay area at biologicaldiversity.org (bit.ly/2FVTUPj). Then, I identified all of these pesticides that were in the dataset: 42. Above, there is a cell which, when run, allows you to select a portion of the pesticides to look at. After selecting, it will display of map of all of these pesticides, the year their measurements were collected, and their concentration. I took 3 especially bad pesticides in the current results, and graphed them above. They can be found in this link (http://bit.ly/2E0trOf). Each of these three, bad pesticides showed up multiple times on the map:\n",
    "\n",
    "### Atrazine\n",
    "According to the link above, \"A popular herbicide called atrazine is the pesticide most commonly found in American drinking water. The European Union banned it in 2004 but the EPA re-evaluated and OK’d atrazine use in 2009. While it breaks down quickly in soil, it tends to hang around in water. Almost 90 percent of drinking water in the U.S. has atrazine in it, according to an analysis of U.S. Department of Agriculture data by the Pesticide Action Network. The weed killer messes with hormones, affects the immune system and is linked to birth defects.\" It is very harmful\n",
    "\n",
    "There is quite a little bit of atrazine throughout the bay, about 10 measurements of it. These measurements are from about 10 years ago, so the problem could have gotten worse or better over the years. The amounts reach a high of .5 ug per liter, with the unsafe levels being around 3 ppb, or 3 ug/L. This is relatively low, but there are studies that show that even small amounts can affect hormones significantly.\n",
    "\n",
    "\n",
    "### Paraquat\n",
    "\"Paraquat, a pesticide linked to Parkinson’s disease, is banned in China and the European Union but not the U.S. It’s highly toxic and kills weeds on contact. A 2009 UCLA study found that a person exposed to paraquat and two other pesticides is three times as likely to develop Parkinson’s disease. Paraquat also can cause kidney damage and difficulty breathing.\" \n",
    "\n",
    "There are about 10 data points for Paraquat in the data, with a maximum concentration of 1.5 ug/L.\n",
    "\n",
    "### Glyphosate\n",
    "\"Scientists suspect [glyphosate] may be the culprit in widespread kidney disease among agricultural workers in Sri Lanka, India and Central America. It’s the best-selling herbicide in the world, according to the Ag Journal. And it was the most heavily used pesticide in the U.S. in 2007, according to the most recent numbers available from the EPA.\" The Environmental Working Group’s health recommendation is a maximum of 5 ppb, or 5 ug/L. However, the maximum values from the measurements are 20 ug/L. This makes sense, because the actual EPA maximum contaminant level is 700 ug/L, even though these levels are much greater than more health ones. The dates for the high glyphosate measurements are 5-10 years ago.\n",
    "\n",
    "\n",
    "I didn't have time to research the other pesticides, but feel free to utilize the mechanism to look at some of the other important, harmful chemicals.\n",
    "\n",
    "## Conclusion\n",
    "Overall, these conclusions are important to understanding the safety of Bay Area waters, and these tools allow for further investigation. Thanks for reading!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}