{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Up and Down With the Kardashians\n", "> While I'm not a fan nor a hater of the Kardashians and Jenners, the polarizing family intrigues me. Why? Their marketing prowess. Say what you will about them and what they stand for, they are great at the hype game. Everything they touch turns to content. In this Project, you will explore the data underneath the hype in the form of search interest data from Google Trends. You'll recreate the Google Trends plot to visualize their ups and downs over time, then make a few custom plots of your own. And you'll answer the big question - \"is Kim even the most famous sister anymore?\" This is the Result of Project \"Up and Down With the Kardashians\", via datacamp.\n", "\n", "- toc: true \n", "- badges: true\n", "- comments: true\n", "- author: Chanseok Kang\n", "- categories: [Python, Datacamp, Data_Science, Visualization]\n", "- image: images/kardashian_jenner_family_tree.png" ] }, { "cell_type": "markdown", "metadata": { "dc": { "key": "3" }, "deletable": false, "editable": false, "run_control": { "frozen": true }, "tags": [ "context" ] }, "source": [ "## 1. The sisters and Google Trends\n", "
While I'm not a fan nor a hater of the Kardashians and Jenners, the polarizing family intrigues me. Why? Their marketing prowess. Say what you will about them and what they stand for, they are great at the hype game. Everything they touch turns to content.
\n", "The sisters in particular over the past decade have been especially productive in this regard. Let's get some facts straight. I consider the \"sisters\" to be the following daughters of Kris Jenner. Three from her first marriage to lawyer Robert Kardashian:
\n", "And two from her second marriage to Olympic gold medal-winning decathlete, Caitlyn Jenner (formerly Bruce):
\n", "This family tree can be confusing, but we aren't here to explain it. We're here to explore the data underneath the hype, and we'll do it using search interest data from Google Trends. We'll recreate the Google Trends plot to visualize their ups and downs over time, then make a few custom plots of our own. And we'll answer the big question: is Kim even the most famous sister anymore?
\n", "First, let's load and inspect our Google Trends data, which was downloaded in CSV form. The query parameters: each of the sisters, worldwide search data, 2007 to present day. (2007 was the year Kim became \"active\" according to Wikipedia.)
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "\n", "plt.rcParams['figure.figsize'] = (10, 8)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "dc": { "key": "3" }, "tags": [ "sample_code" ] }, "outputs": [ { "data": { "text/html": [ "\n", " | Month | \n", "Kim Kardashian: (Worldwide) | \n", "Khloé Kardashian: (Worldwide) | \n", "Kourtney Kardashian: (Worldwide) | \n", "Kendall Jenner: (Worldwide) | \n", "Kylie Jenner: (Worldwide) | \n", "
---|---|---|---|---|---|---|
0 | \n", "2007-01 | \n", "2 | \n", "<1 | \n", "<1 | \n", "<1 | \n", "2 | \n", "
1 | \n", "2007-02 | \n", "12 | \n", "<1 | \n", "<1 | \n", "<1 | \n", "2 | \n", "
2 | \n", "2007-03 | \n", "9 | \n", "<1 | \n", "<1 | \n", "<1 | \n", "1 | \n", "
3 | \n", "2007-04 | \n", "6 | \n", "<1 | \n", "<1 | \n", "<1 | \n", "1 | \n", "
4 | \n", "2007-05 | \n", "6 | \n", "<1 | \n", "<1 | \n", "<1 | \n", "2 | \n", "
So we have a column for each month since January 2007 and a column for the worldwide search interest for each of the sisters each month. By the way, Google defines the values of search interest as:
\n", "\n", "\n", "Numbers represent search interest relative to the highest point on the chart for the given region and time. A value of 100 is the peak popularity for the term. A value of 50 means that the term is half as popular. A score of 0 means there was not enough data for this term.
\n", "
Okay, that's great Google, but you are not making this data easily analyzable for us. I see a few things. Let's do the column names first. A column named \"Kim Kardashian: (Worldwide)\" is not the most usable for coding purposes. Let's shorten those so we can access their values better. Might as well standardize all column formats, too. I like lowercase, short column names.
" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "dc": { "key": "10" }, "tags": [ "sample_code" ] }, "outputs": [ { "data": { "text/html": [ "\n", " | month | \n", "kim | \n", "khloe | \n", "kourtney | \n", "kendall | \n", "kylie | \n", "
---|---|---|---|---|---|---|
0 | \n", "2007-01 | \n", "2 | \n", "<1 | \n", "<1 | \n", "<1 | \n", "2 | \n", "
1 | \n", "2007-02 | \n", "12 | \n", "<1 | \n", "<1 | \n", "<1 | \n", "2 | \n", "
2 | \n", "2007-03 | \n", "9 | \n", "<1 | \n", "<1 | \n", "<1 | \n", "1 | \n", "
3 | \n", "2007-04 | \n", "6 | \n", "<1 | \n", "<1 | \n", "<1 | \n", "1 | \n", "
4 | \n", "2007-05 | \n", "6 | \n", "<1 | \n", "<1 | \n", "<1 | \n", "2 | \n", "
That's better. We don't need to scroll our eyes across the table to read the values anymore since it is much less wide. And seeing five columns that all start with the letter \"k\" … the aesthetics … we should call them \"kolumns\" now! (Bad joke.)
\n", "The next thing I see that is going to be an issue is that \"<\" sign. If \"a score of 0 means there was not enough data for this term,\" \"<1\" must mean it is between 0 and 1 and Google does not want to give us the fraction from google.trends.com for whatever reason. That's fine, but this \"<\" sign means we won't be able to analyze or visualize our data right away because those column values aren't going to be represented as numbers in our data structure. Let's confirm that by inspecting our data types.
" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "dc": { "key": "17" }, "tags": [ "sample_code" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Yes, okay, the khloe
, kourtney
, and kendall
columns aren't integers like the kim
and kylie
columns are. Again, because of the \"<\" sign that indicates a search interest value between zero and one. Is this an early hint at the hierarchy of sister popularity? We'll see shortly. Before that, we'll need to remove that pesky \"<\" sign. Then we can change the type of those columns to integer.
\n", " | month | \n", "kim | \n", "khloe | \n", "kourtney | \n", "kendall | \n", "kylie | \n", "
---|---|---|---|---|---|---|
0 | \n", "2007-01 | \n", "2 | \n", "1 | \n", "1 | \n", "1 | \n", "2 | \n", "
1 | \n", "2007-02 | \n", "12 | \n", "1 | \n", "1 | \n", "1 | \n", "2 | \n", "
2 | \n", "2007-03 | \n", "9 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "
3 | \n", "2007-04 | \n", "6 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "
4 | \n", "2007-05 | \n", "6 | \n", "1 | \n", "1 | \n", "1 | \n", "2 | \n", "
Okay, great, no more \"<\" signs. All the sister columns are of integer type.
\n", "Now let's convert our month
column from type object to datetime to make our date data more accessible.
\n", " | month | \n", "kim | \n", "khloe | \n", "kourtney | \n", "kendall | \n", "kylie | \n", "
---|---|---|---|---|---|---|
0 | \n", "2007-01-01 | \n", "2 | \n", "1 | \n", "1 | \n", "1 | \n", "2 | \n", "
1 | \n", "2007-02-01 | \n", "12 | \n", "1 | \n", "1 | \n", "1 | \n", "2 | \n", "
2 | \n", "2007-03-01 | \n", "9 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "
3 | \n", "2007-04-01 | \n", "6 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "
4 | \n", "2007-05-01 | \n", "6 | \n", "1 | \n", "1 | \n", "1 | \n", "2 | \n", "
And finally, let's set the month
column as our index to wrap our data cleaning. Having month
as index rather than the zero-based row numbers will allow us to write shorter lines of code to create plots, where month
will represent our x-axis.
\n", " | kim | \n", "khloe | \n", "kourtney | \n", "kendall | \n", "kylie | \n", "
---|---|---|---|---|---|
month | \n", "\n", " | \n", " | \n", " | \n", " | \n", " |
2007-01-01 | \n", "2 | \n", "1 | \n", "1 | \n", "1 | \n", "2 | \n", "
2007-02-01 | \n", "12 | \n", "1 | \n", "1 | \n", "1 | \n", "2 | \n", "
2007-03-01 | \n", "9 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "
2007-04-01 | \n", "6 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "
2007-05-01 | \n", "6 | \n", "1 | \n", "1 | \n", "1 | \n", "2 | \n", "
Okay! So our data is ready to plot. Because we cleaned our data, we only need one line of code (and just thirteen characters!) to remake the Google Trends chart, plus another line to make the plot show up in our notebook.
" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "dc": { "key": "45" }, "tags": [ "sample_code" ] }, "outputs": [ { "data": { "image/png": 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\n", 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