Exercise_1.ipynb

Exercise_1.ipynb

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    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Getting and Knowing your Data"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 1. Import the necessary libraries"
    },
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      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 2. Import the dataset from this [address](https://raw.githubusercontent.com/justmarkham/DAT8/master/data/chipotle.tsv).  Assign it to a variable called chipo."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# HINT: '\\t' is the separator",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 3. See the first 10 entries"
    },
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      "cell_type": "code",
      "source": "",
      "execution_count": null,
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    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 4. What is the number of observations in the dataset?"
    },
    {
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      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 5. What is the number of columns in the dataset?"
    },
    {
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      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
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    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 6. Print the name of all the columns."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 7. How is the dataset indexed?"
    },
    {
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        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 8. Which was the most ordered item?"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 9. What was the most ordered item in the choice_description column?"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 10. How many items were orderd in total?"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 11. Turn the item price into a float"
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 12. How much was the revenue for the period in the dataset?"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 13. How many orders were made in the period?"
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 14. What is the average amount per order?"
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Step 15. How many different items are sold?"
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
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