{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Political Alignment and Outlook" ] }, { "cell_type": "markdown", "metadata": { "tags": [ "remove-print" ] }, "source": [ "This is the third in a series of notebooks that make up a [case study in exploratory data analysis](https://allendowney.github.io/PoliticalAlignmentCaseStudy/).\n", "This case study is part of the [*Elements of Data Science*](https://allendowney.github.io/ElementsOfDataScience/) curriculum." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the previous chapter, we used data from the General Social Survey (GSS) to plot changes in political alignment over time.\n", "In this notebook, we'll explore the relationship between political alignment and respondents' beliefs about themselves and other people.\n", "We'll use the following variables from the GSS dataset:\n", "\n", "* `happy`: Taken all together, how would you say things are these days--would you say that you are very happy, pretty happy, or not too happy?\n", "\n", "* `trust`: Generally speaking, would you say that most people can be trusted or that you can't be too careful in dealing with people?\n", "\n", "* `helpful`: Would you say that most of the time people try to be helpful, or that they are mostly just looking out for themselves?\n", "\n", "* `fair`: Do you think most people would try to take advantage of you if they got a chance, or would they try to be fair?\n", "\n", "We'll start with the last question; then as an exercise you can look at one of the others.\n", "Here's the plan:\n", "\n", "1. First we'll use `groupby` to compare the average response between groups and plot the average as a function of time.\n", "\n", "2. We'll use the Pandas function `pivot table` to compute the average response within each group as a function of time.\n", "\n", "3. Finally, we'll use resampling to see whether the features we see in the results might be due to randomness, or whether they are likely to reflect actual changes in the works." ] }, { "cell_type": "markdown", "metadata": { "tags": [ "remove-print" ] }, "source": [ "If everything we need is installed, the following cell should run without error." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "tags": [ "remove-print" ] }, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns" ] }, { "cell_type": "markdown", "metadata": { "tags": [ "remove-print" ] }, "source": [ "The following cells define functions from previous notebooks we will use again." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "tags": [ "remove-print" ] }, "outputs": [], "source": [ "def values(series):\n", " \"\"\"Count the values and sort.\n", "\n", " series: pd.Series\n", "\n", " returns: series mapping from values to frequencies\n", " \"\"\"\n", " return series.value_counts().sort_index()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "tags": [ "remove-print" ] }, "outputs": [], "source": [ "def decorate(**options):\n", " \"\"\"Decorate the current axes.\n", "\n", " Call decorate with keyword arguments like\n", " decorate(title='Title',\n", " xlabel='x',\n", " ylabel='y')\n", "\n", " The keyword arguments can be any of the axis properties\n", " https://matplotlib.org/api/axes_api.html\n", " \"\"\"\n", " ax = plt.gca()\n", " ax.set(**options)\n", " handles, labels = ax.get_legend_handles_labels()\n", " if handles:\n", " ax.legend(handles, labels)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "tags": [ "remove-print" ] }, "outputs": [], "source": [ "from statsmodels.nonparametric.smoothers_lowess import lowess\n", "\n", "\n", "def make_lowess(series):\n", " \"\"\"Use LOWESS to compute a smooth line.\n", "\n", " series: pd.Series\n", "\n", " returns: pd.Series\n", " \"\"\"\n", " y = series.values\n", " x = series.index.values\n", "\n", " smooth = lowess(y, x)\n", " index, data = np.transpose(smooth)\n", "\n", " return pd.Series(data, index=index)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "tags": [ "remove-print" ] }, "outputs": [], "source": [ "def plot_series_lowess(series, color):\n", " \"\"\"Plots a series of data points and a smooth line.\n", "\n", " series: pd.Series\n", " color: string or tuple\n", " \"\"\"\n", " series.plot(linewidth=0, marker=\"o\", color=color, alpha=0.5)\n", " smooth = make_lowess(series)\n", " smooth.plot(label=\"_\", color=color)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "tags": [ "remove-print" ] }, "outputs": [], "source": [ "def plot_columns_lowess(table, columns, colors):\n", " \"\"\"Plot the columns in a DataFrame.\n", "\n", " table: DataFrame with a cross tabulation\n", " columns: list of column names, in the desired order\n", " colors: mapping from column names to colors\n", " \"\"\"\n", " for col in columns:\n", " series = table[col]\n", " plot_series_lowess(series, colors[col])" ] }, { "cell_type": "markdown", "metadata": { "tags": [ "remove-print" ] }, "source": [ "## Loading the data\n", "\n", "In the first notebook, we downloaded GSS data, loaded and cleaned it, resampled it to correct for stratified sampling, and then saved the data in an HDF5 file, which is much faster to load. Now we'll download the HDF5 file and load it.\n", "\n", "The following cell downloads the file if necessary." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "tags": [ "remove-print" ] }, "outputs": [], "source": [ "from os.path import basename, exists\n", "\n", "\n", "def download(url):\n", " filename = basename(url)\n", " if not exists(filename):\n", " from urllib.request import urlretrieve\n", "\n", " local, _ = urlretrieve(url, filename)\n", " print(\"Downloaded \" + local)\n", "\n", "\n", "download(\n", " \"https://github.com/AllenDowney/PoliticalAlignmentCaseStudy/raw/master/gss_pacs_resampled.hdf\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "I've created an HDF file that contains three `DataFrame` objects with resampled GSS data. We'll work with the first resampling, `gss0`, to get started; at the end of this chapter, we'll see the other two as well." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(68846, 204)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "datafile = \"gss_pacs_resampled.hdf\"\n", "gss = pd.read_hdf(datafile, \"gss0\")\n", "gss.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Are People Fair?\n", "\n", "In the GSS data, the variable `fair` contains responses to this question (see ):\n", "\n", "> Do you think most people would try to take advantage of you if they got a chance, or would they try to be fair?\n", "\n", "The possible responses are:\n", "\n", "```\n", "1\tTake advantage\n", "2\tFair\n", "3\tDepends\n", "```\n", "\n", "As always, we start by looking at the distribution of responses, that is, how many people give each response:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.0 15435\n", "2.0 22806\n", "3.0 2755\n", "Name: fair, dtype: int64" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "values(gss[\"fair\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The plurality think people try to be fair (2), but a substantial minority think people would take advantage (1).\n", "There are also a number of NaNs, mostly respondents who were not asked this question." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "27850" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gss[\"fair\"].isna().sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To count the number of people who chose option 2, \"people try to be fair\", we'll use a dictionary to recode option 2 as `1` and the other options as `0`." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "recode_fair = {1: 0, 2: 1, 3: 0}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As an alternative, we could include option 3, \"depends\", by mapping it to 1, or give it less weight by mapping it to an intermediate value like 0.5.\n", "\n", "We can use `replace` to recode the values and store the result as a new column in the DataFrame." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "gss[\"fair2\"] = gss[\"fair\"].replace(recode_fair)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And we'll use `values` to check whether it worked." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.0 18190\n", "1.0 22806\n", "Name: fair2, dtype: int64" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "values(gss[\"fair2\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Fairness Over Time\n", "\n", "As we saw in the previous notebook, we can use `groupby` to group responses by year." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "gss_by_year = gss.groupby(\"year\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From the result we can select `fair2` and compute the mean." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "fair_by_year = gss_by_year[\"fair2\"].mean()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here's the result, which shows the fraction of people who say people try to be fair, plotted over time. As in the previous notebook, we plot the data points themselves with circles and a local regression model as a line." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_series_lowess(fair_by_year, \"C1\")\n", "\n", "decorate(\n", " xlabel=\"Year\",\n", " ylabel=\"Fraction saying yes\",\n", " title=\"Would most people try to be fair?\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sadly, it looks like faith in humanity has declined, at least by this measure.\n", "\n", "Let's see what this trend looks like if we group the respondents by political alignment." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Political Views on a 3-point Scale\n", "\n", "In the previous notebook, we looked at responses to `polviews`, which asks about political alignment. The valid responses are:\n", "\n", "```\n", "1\tExtremely liberal\n", "2\tLiberal\n", "3\tSlightly liberal\n", "4\tModerate\n", "5\tSlightly conservative\n", "6\tConservative\n", "7\tExtremely conservative\n", "```\n", "\n", "To make it easier to visualize groups, we'll lump the 7-point scale into a 3-point scale." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "recode_polviews = {\n", " 1: \"Liberal\",\n", " 2: \"Liberal\",\n", " 3: \"Liberal\",\n", " 4: \"Moderate\",\n", " 5: \"Conservative\",\n", " 6: \"Conservative\",\n", " 7: \"Conservative\",\n", "}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We'll use `replace`, as we've seen before, and store the result as a new column in the DataFrame." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "gss[\"polviews3\"] = gss[\"polviews\"].replace(recode_polviews)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "With this scale, there are roughly the same number of people in each group." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "Conservative 20359\n", "Liberal 16195\n", "Moderate 22950\n", "Name: polviews3, dtype: int64" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "values(gss[\"polviews3\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Fairness by Group\n", "\n", "Now let's see who thinks people are more fair, conservatives or liberals.\n", "We'll group the respondents by `polviews3`." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "by_polviews = gss.groupby(\"polviews3\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And compute the mean of `fair2` in each group." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "polviews3\n", "Conservative 0.582789\n", "Liberal 0.553916\n", "Moderate 0.542407\n", "Name: fair2, dtype: float64" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "by_polviews[\"fair2\"].mean()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like conservatives are a little more optimistic, in this sense, than liberals and moderates.\n", "But this result is averaged over the last 50 years. Let's see how things have changed over time." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Fairness over Time by Group\n", "\n", "So far, we have grouped by `polviews3` and computed the mean of `fair2` in each group.\n", "Then we grouped by `year` and computed the mean of `fair2` for each year.\n", "Now I want to group by `polviews3` and `year`, and compute the mean of `fair2` in each group over time.\n", "\n", "We could do that computation \"by hand\" using the tools we already have, but it is so common and useful that it has a name: it is called a **pivot table**, and Pandas provides a function that computes it (see ).\n", "\n", "The function is called `pivot_table`, and it takes the following arguments:\n", "\n", "* `values`, which is the name of the variable we want to summarize: `fair2` in this example.\n", "\n", "* `index`, which is the name of the variable that will provide the row labels: `year` in this example.\n", "\n", "* `columns`, which is the name of the variable that will provide the column labels: `polview3` in this example.\n", "\n", "* `aggfunc`, which is the function used to \"aggregate\", or summarize, the values: `mean` in this example." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "table = gss.pivot_table(\n", " values=\"fair2\", index=\"year\", columns=\"polviews3\", aggfunc=\"mean\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The result is a table that has years running down the rows and political alignment running across the columns.\n", "Each entry in the table is the mean of `fair2` for a given group in a given year." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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polviews3ConservativeLiberalModerate
year
19750.6256160.6171170.647280
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" ], "text/plain": [ "polviews3 Conservative Liberal Moderate\n", "year \n", "1975 0.625616 0.617117 0.647280\n", "1976 0.631696 0.571782 0.612100\n", "1978 0.694915 0.659420 0.665455\n", "1980 0.600000 0.554945 0.640264\n", "1983 0.572438 0.585366 0.463492" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "table.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Reading across the first row, we can see that in 1975, moderates were slightly more optimistic than the other groups.\n", "\n", "Reading down the first column, we can see that the estimated mean of `fair2` among conservatives varies from year to year. It is hard to tell looking at these numbers whether it is trending up or down; we can get a better view by plotting the results." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plotting the Results" ] }, { "cell_type": "markdown", "metadata": { "tags": [ "remove-print" ] }, "source": [ "Before we plot the results, I'll make a dictionary that maps from each group to a color." ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "tags": [ "remove-print" ] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "muted = sns.color_palette(\"muted\", 5)\n", "sns.palplot(muted)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "tags": [ "remove-print" ] }, "outputs": [], "source": [ "colors = {\"Conservative\": muted[3], \"Moderate\": muted[4], \"Liberal\": muted[0]}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can use `plot_columns_lowess` to see the results." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "columns = [\"Conservative\", \"Liberal\", \"Moderate\"]\n", "plot_columns_lowess(table, columns, colors)\n", "\n", "decorate(\n", " xlabel=\"Year\",\n", " ylabel=\"Fraction saying yes\",\n", " title=\"Would most people try to be fair?\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The fraction of respondents who think people try to be fair has dropped in all three groups, although liberals and moderates might have leveled off.\n", "In 1975, liberals were the least optimistic group. In 2018, they might be the most optimistic.\n", "But the responses are quite noisy, so we should not be too confident about these conclusions.\n", "\n", "We can get a sense of how reliable they are by running the resampling process a few times and checking how much the results vary." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simulating Possible Datasets\n", "\n", "The figures we have generated so far in this notebook are based on a single resampling of the GSS data. Some of the features we see in these figures might be due to random sampling rather than actual changes in the world.\n", "\n", "By generating the same figures with different resampled datasets, we can get a sense of how much variation there is due to random sampling.\n", "\n", "To make that easier, the following function contains the code from the previous analysis all in one place." ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "def plot_by_polviews(gss):\n", " \"\"\"Plot mean response by polviews and year.\n", "\n", " gss: DataFrame\n", " \"\"\"\n", " gss[\"polviews3\"] = gss[\"polviews\"].replace(recode_polviews)\n", " gss[\"fair2\"] = gss[\"fair\"].replace(recode_fair)\n", "\n", " table = gss.pivot_table(\n", " values=\"fair2\", index=\"year\", columns=\"polviews3\", aggfunc=\"mean\"\n", " )\n", "\n", " plot_columns_lowess(table, columns, colors)\n", "\n", " decorate(\n", " xlabel=\"Year\",\n", " ylabel=\"Fraction saying yes\",\n", " title=\"Would most people try to be fair?\",\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can loop through the three resampled datasets in the HDF5 file and generate a figure for each one." ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "datafile = \"gss_pacs_resampled.hdf\"\n", "\n", "for key in [\"gss0\", \"gss1\", \"gss2\"]:\n", " df = pd.read_hdf(datafile, key)\n", "\n", " plt.figure()\n", " plot_by_polviews(df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Features that are the same in all three figures are more likely to reflect things actually happening in the world. Features that differ substantially between the figures are more likely to be artifacts of random sampling.\n", "In this context, \"artifact\" has the sense of \"something observed in a scientific investigation or experiment that is not naturally present but occurs as a result of the preparative or investigative procedure\" (from )." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Exercise:** As an exercise, you can run the same analysis with one of the other variables related to outlook including `happy`, `trust`, `helpful`, and maybe `fear` and `hapmar`.\n", "\n", "For these variables, you will have to read the codebook to see the responses and how they are encoded, then think about which responses to report.\n", "In the notebook for this chapter, there are some suggestions to get you started." ] }, { "cell_type": "markdown", "metadata": { "tags": [ "remove-print" ] }, "source": [ "Here are the steps I suggest:\n", " \n", "1) If you have not already saved this notebook, you might want to do that first. If you are running on Colab, select \"Save a copy in Drive\" from the File menu.\n", "\n", "2) Now, before you modify this notebook, make another copy and give it an appropriate name.\n", "\n", "3) Search and replace `fair` with the name of the variable you select (use \"Edit->Find and replace\").\n", "\n", "4) Run the notebook from the beginning and see what other changes you have to make.\n", "\n", "Write a few sentences to describe the relationships you find between political alignment and outlook." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Summary\n", "\n", "The case study in this chapter and the previous one demonstrates a process for exploring a dataset and finding relationships among the variables.\n", "\n", "In the previous chapter, we started with a single variable, `polviews`, and visualized its distribution at the beginning and end of the observation interval.\n", "Then we used `groupby` to see how the mean and standard deviation changed over time.\n", "Looking more closely, we used cross tabulation to see how the fraction of people in each group changed over time.\n", "\n", "In this chapter, we added a second variable, `fair`, which is one of several questions in the GSS related to respondents' beliefs about other people.\n", "We used `groupby` again to see how the responses have changed over time.\n", "Then we used a pivot table to show how the responses within each political group have changed over time.\n", "Finally, we used multiple resamplings of the original dataset to check whether the patterns we identified might be due to random sampling rather than real changes in the world.\n", "\n", "The tools we used in this case study are versatile; they are useful for exploring other variables in the GSS dataset, and other datasets as well.\n", "And the process we followed is one I recommend whenever you are exploring a new dataset." ] }, { "cell_type": "markdown", "metadata": { "tags": [ "remove-cell" ] }, "source": [ "Political Alignment Case Study\n", "\n", "Copyright 2020 Allen B. Downey\n", "\n", "License: [Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/)" ] } ], "metadata": { "celltoolbar": "Tags", "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.10.4" } }, "nbformat": 4, "nbformat_minor": 1 }