2023-programowanie-w-pythonie/zajecia2/zad_01.ipynb

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   "source": [
    "1. Zaimportuj bibliotkę pandas jako pd."
   ]
  },
  {
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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   "source": [
    "2. Wczytaj zbiór danych `311.csv` do zniennej data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
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   "source": [
    "3. Wyświetl 5 pierwszych wierszy z data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
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   "source": [
    "4. Wyświetl nazwy kolumn."
   ]
  },
  {
   "cell_type": "code",
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   "cell_type": "markdown",
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   "source": [
    "5. Wyświetl ile nasz zbiór danych ma kolumn i wierszy."
   ]
  },
  {
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   "source": [
    "6. Wyświetl kolumnę 'City' z powyższego zbioru danych."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "7. Wyświetl jakie wartoścu przyjmuje kolumna 'City'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
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   "cell_type": "markdown",
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   "source": [
    "8. Zlicz wartości w kolumnie `City`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "9. Wyświetl tylko pierwsze 4 wiersze z wcześniejszego polecenia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "10. Wyświetl, w ilu przypadkach kolumna City zawiera NaN."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "11. Wyświetl data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "12. Wyświetl tylko kolumny Borough i Agency i tylko 5 ostatnich linii."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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  {
   "cell_type": "markdown",
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   "source": [
    "13. Wyświetl tylko te dane, dla których wartość z kolumny Agency jest równa\n",
    "NYPD. Zlicz ile jest takich przykładów.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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  },
  {
   "cell_type": "markdown",
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   "source": [
    "14. Wyświetl wartość minimalną i maksymalną z kolumny Longitude."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "15. Dodaj kolumne diff, która powstanie przez sumowanie kolumn Longitude i Latitude."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "16. Zlicz wartości dla kolumny 'Descriptor', dla której Agency jest\n",
    "równe NYPD."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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