{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Understanding the Career of Data Scientists, Analytics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook contains the analytics for the ways to get started with as a data scientist. Stack Overflow is an online technology forum that has a large monthly active user base, using the survey results could find out the insights of the general software engineer community." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Import packages**" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import numpy as np\n", "import glob\n", "import os\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "**Data Preparation**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Load stack overflow survey data from 2011 to 2018, store them in a dictionary" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "path = \"./data/\"\n", "all_files = glob.glob(os.path.join(path, \"*.csv\")) \n", "survey_results = {}\n", "year = '2011'\n", "\n", "for file in all_files:\n", " # Getting the file name without extension\n", " file_name = os.path.splitext(os.path.basename(file))[0]\n", " year = file_name.split()[0]\n", " if year in ['2011', '2012']:\n", " survey_results[year] = pd.read_csv(path + file_name + '.csv', header = [0,1],engine='python',\n", " encoding= 'latin1')\n", " elif year in ['2013', '2014']:\n", " survey_results[year] = pd.read_csv(path + file_name + '.csv', header = [0,1],\n", " low_memory=False)\n", "\n", " elif year in ['2015']:\n", " survey_results[year] = pd.read_csv(path + file_name + '.csv', \n", " skiprows= 1, low_memory=False)\n", " else:\n", " survey_results[year] = pd.read_csv(path + file_name + '.csv', \n", " low_memory=False)\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Data Scientists Community Growth ** " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Corresponds to the visualization in the introduction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Filter for data scientists" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "data_scientists = {year: survey_results[year][survey_results[year].filter(regex = '.*ccupation').iloc[:,0]\n", " .str.contains('.*ata|machine learning|algorithm', \n", " na=False)] \n", " for year in [str(i) for i in np.arange(2011, 2017, 1)]}\n", "for year in [str(i) for i in np.arange(2017, 2019, 1)]:\n", " data_scientists[year] = (survey_results[year][survey_results[year]\n", " .filter(regex = '.*ev').iloc[:,0]\n", " .str.contains('.*ata|achine|earning|lgorithm', na=False)])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot % of data scientists. Missing data here is counted as 1 individual of data scientist, even though some of his/her information is not complete." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "active_users = pd.DataFrame.from_dict({i: len(survey_results[i]) for i in survey_results},\n", " orient='index', \n", " columns = ['User Count'])\n", "\n", "active_data_scientists = pd.DataFrame.from_dict({i: len(data_scientists[i]) for i in data_scientists},\n", " orient='index', \n", " columns = ['User Count'])\n", "\n", "\n", "ax =(active_data_scientists/active_users * 100).plot.bar(figsize = (10, 7))\n", "\n", "plt.xlabel('Year')\n", "plt.ylabel('% Data Scientists')\n", "plt.xticks(rotation = 0)\n", "plt.legend(\"% data scientists\")\n", "plt.title(\"% Data Scientists out of Total Software Engineers\")\n", "for p in ax.patches:\n", " ax.annotate(str(round(p.get_height(), 2))+ '%', (p.get_x(), p.get_height() + 0.2))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "**Does a data science role return you a happy career?**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Job satisfaction data over the years (Not used)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "satisfication = {}\n", "satisfication['2011'] = data_scientists['2011'].iloc[:, -21]\n", "satisfication['2012'] = data_scientists['2012'].iloc[:, -37]\n", "satisfication['2013'] = data_scientists['2013'].iloc[:, -29]\n", "satisfication['2015'] = data_scientists['2015']['Job Satisfaction']\n", "satisfication['2016'] = data_scientists['2016']['job_satisfaction']\n", "satisfication['2017'] = data_scientists['2017']['JobSatisfaction']\n", "satisfication['2018'] = data_scientists['2018']['JobSatisfaction']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "clear up messy formats. Missing data here are assumed to be individuals that are holds neutral outlooks on their career satisfactions, allowing more data points to be added to the total number of data scientists each year." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Save Encoding Dictionary\n", "cleanup_satisfaction = {}\n", "cleanup_satisfaction['2011'] = {\"I enjoy going to work\": \"Happy\", \n", " \"It pays the bills\": \"Neutral\", \n", " \"So happy it hurts\": \"Unhappy\",\n", " np.nan:\"Neutral\", \n", " \"I'm not happy in my job\": \"Unhappy\"\n", " }\n", "\n", "cleanup_satisfaction['2012'] = {\"I enjoy going to work\": \"Happy\", \n", " \"I love my job\": \"Happy\",\n", " \"Love my job\":\"Happy\",\n", " \"Its a paycheck\": \"Neutral\", \n", " \"Hate my job\": \"Unhappy\",\n", " np.nan:\"Neutral\", \n", " \"I'm not happy in my job\": \"Unhappy\"\n", " }\n", "\n", "cleanup_satisfaction['2013'] = {\"I enjoy going to work\": \"Happy\", \n", " \"Love my job\": \"Happy\",\n", " \"It's a paycheck\": \"Neutral\", \n", " \"Hate my job\": \"Unhappy\",\n", " np.nan:\"Neutral\", \n", " \"I'm not happy in my job\": \"Unhappy\"\n", " }\n", "\n", "cleanup_satisfaction['2015'] = {\"I'm somewhat satisfied with my job\": \"Happy\", \n", " \"I love my job\": \"Happy\",\n", " \"I'm neither satisfied nor dissatisfied with my job\": \"Neutral\", \n", " \"Hate my job\": \"Unhappy\",\n", " np.nan:\"Neutral\", \n", " \"I'm somewhat dissatisfied with my job\": \"Unhappy\"\n", " }\n", "\n", "cleanup_satisfaction['2016'] = {\"I'm somewhat satisfied with my job\": \"Happy\", \n", " \"I love my job\": \"Happy\",\n", " \"I'm neither satisfied nor dissatisfied\": \"Neutral\", \n", " \"I hate my job\": \"Unhappy\",\n", " np.nan:\"Neutral\", \n", " \"I'm somewhat dissatisfied with my job\": \"Unhappy\"\n", " }\n", "\n", "cleanup_satisfaction['2018'] = {\"Moderately satisfied\": \"Happy\", \n", " \"Extremely satisfied\": \"Happy\",\n", " \"Slightly satisfied\": \"Happy\",\n", " \"Neither satisfied nor dissatisfied\": \"Neutral\", \n", " \"Slightly dissatisfied\": \"Unhappy\",\n", " \"Moderately dissatisfied\": \"Unhappy\",\n", " \"Extremely dissatisfied\": \"Unhappy\",\n", " np.nan:\"Neutral\", \n", " }" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": true }, "outputs": [], "source": [ "for i in cleanup_satisfaction:\n", " satisfication[i] = satisfication[i].map(cleanup_satisfaction[i])\n", "satisfication['2017'] = pd.cut(data_scientists['2017']['JobSatisfaction'], \n", " bins= 3, labels = ['Unhappy', 'Neutral', 'Happy'], include_lowest=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Perform a unique value count at each year exluding 2014 (Since 2014's survey does not have the career satisfaction question). " ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "satisfication_counts = pd.DataFrame.from_dict({i: satisfication[i].value_counts()/len(satisfication[i])\n", " for i in satisfication})\n", "colors = ['green', 'gold', 'lightcoral']\n", "plt.figure(figsize = (10, 7))\n", "j = 0\n", "for i in list(satisfication_counts.T.columns):\n", " plt.plot(satisfication_counts.T.loc[:, i], label = i, color = colors[j])\n", " j += 1\n", "plt.xlabel('Year')\n", "plt.ylabel('% of Total')\n", "plt.legend()\n", "plt.title(\"Data Scientists Career Satisfaction Over the Years\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Does a data science role return you a happy career?**\n", "\n", "Data Scientist Career Satisfaction vs. Other Software Engineers" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Again, missing data in career satisfaction column is treated as \"No Opinion\"" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": true }, "outputs": [], "source": [ "not_ds_2018 = (survey_results['2018'][~survey_results['2018']\n", " .filter(regex = '.*ev').iloc[:,0].str.contains('.*ata', na=False)])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot career satisfaction pie charts" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,5))\n", "f.suptitle('Data Scientists vs.Other Software Engineers Career Satisfaction')\n", "labels = 'Happy', 'Neutral', 'Unhappy'\n", "sizes_ax1 = list(satisfication['2018'].value_counts())\n", "sizes_ax2 = list(not_ds_2018['JobSatisfaction'].map(cleanup_satisfaction['2018']).value_counts())\n", "colors = ['yellowgreen', 'gold', 'lightcoral']\n", "ax1.pie(sizes_ax1, labels=labels, colors=colors,\n", " autopct='%1.3f%%', shadow=True, startangle=140)\n", "ax1.axis('equal')\n", "ax1.set_title('Data Scientists')\n", "\n", "ax2.pie(sizes_ax2, labels=labels, colors=colors,\n", " autopct='%1.3f%%', shadow=True, startangle=140)\n", "ax2.axis('equal')\n", "ax2.set_title('Other Software Engineers')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Does a data science role lead to a healthier lifestyle?** " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Data Scientists Hours Spent on Computer" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def visualizeComparison(comparison, name):\n", " \"\"\"This function visualizes the comparison for data scientists and software engineers\n", " \n", " Input: dataframe contains different categories\n", " Output: returns None, but plots visualizations of comparison\n", " \"\"\"\n", " comparison.plot(kind = 'bar', figsize = (10, 7),\n", " title = name + ', Data Scientist vs. Other Software Engineers' )\n", " plt.xticks(rotation = 30)\n", " plt.ylabel('Converted Salary ($)')\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": true }, "outputs": [], "source": [ "ds_computer = data_scientists['2018']['HoursComputer'].value_counts().rename('data scientists')\n", "no_ds_computer = not_ds_2018['HoursComputer'].value_counts().rename('other software engineers')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot data scientists hours spent on Computer" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "Hours_copmuters = pd.DataFrame(ds_computer/sum(ds_computer)*100).join(pd.DataFrame(no_ds_computer/sum(no_ds_computer)*100))\n", "visualizeComparison(Hours_copmuters, \"Hours Spent on Computers\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Data Scientists Meals Skipped**" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": true }, "outputs": [], "source": [ "ds_meals = data_scientists['2018']['SkipMeals'].value_counts().rename('data scientists')\n", "no_ds_meals = not_ds_2018['SkipMeals'].value_counts().rename('other software engineers')" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "meals_skipped = pd.DataFrame(ds_meals/sum(ds_meals)*100).join(pd.DataFrame(no_ds_meals/sum(no_ds_meals)*100))\n", "visualizeComparison(Hours_copmuters, \"Meals Skipped\")" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "**What skills do you need as a data scientist?**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Trends in Programming Languages" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Get programming language counts from 2013 to 2018, using the following function. Missing data in programming languages are removed due to the fact that we are only interested in a select few most popular languages (sorted by number of users hoping to use beyond 2018) in the dataset. Removing those datapoints will not affect the result too much.\n", "\n", "Meanwhile, since one person may know multiple languages at the same time, the long string format of the categorical variable is splitted based on delimiter \",\" to perform unique counts." ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def getLanguage(df):\n", " \n", " \"\"\" Gets all the programming language counts for a certain dictionary of dataframes\n", " Input: dict\n", " Output: language merged dataframe\n", " \"\"\"\n", " language = {}\n", " language['2013'] = pd.DataFrame(df['2013'].iloc[:, -72:-47]\n", " .apply(lambda x: x.count()).rename('2013'))\n", " language['2013'].index = language['2013'].reset_index()['level_1']\n", " language['2013'].index.name = None\n", "\n", " language['2014'] = pd.DataFrame(df['2014'].iloc[:, -78:-53]\n", " .apply(lambda x: x.count()).rename('2014'))\n", " language['2014'].index = language['2014'].reset_index()['level_1']\n", " language['2014'].index.name = None\n", "\n", " language['2015'] = pd.DataFrame(df['2015'].iloc[:, -214:-171]\n", " .apply(lambda x: x.count()).rename('2015'))\n", " language['2015'].index = (language['2015'].reset_index()['index']\n", " .apply(lambda x: x.replace(\" \", \"\").split(':')[1]))\n", "\n", " language['2016'] = pd.DataFrame(df['2016']['tech_do'].str.replace(\" \", \"\").str\n", " .split(\";\", expand=True)\n", " .stack().reset_index(drop=True, level=1)\n", " .value_counts().rename('2016')) \n", "\n", " language['2017'] = pd.DataFrame(df['2017']['HaveWorkedLanguage'].str.replace(\" \", \"\").str\n", " .split(\";\", expand=True)\n", " .stack().reset_index(drop=True, level=1)\n", " .value_counts().rename('2017'))\n", "\n", " language['2018'] = pd.DataFrame(df['2018']['LanguageWorkedWith'].str.replace(\" \", \"\").str\n", " .split(\";\", expand=True)\n", " .stack().reset_index(drop=True, level=1)\n", " .value_counts().rename('2018'))\n", "\n", " language['2018 Beyond'] = pd.DataFrame(df['2018']['LanguageDesireNextYear'].str.replace(\" \", \"\")\n", " .str.split(\";\", expand=True)\n", " .stack().reset_index(drop=True, level=1)\n", " .value_counts().rename('2018 Beyond'))\n", " \n", " # Join all the value counts into 1 dataframe, keeping all the entries\n", " language_merge = pd.DataFrame()\n", " for i in language:\n", " try:\n", " language_merge = pd.merge(language_merge.reset_index(), language[i].reset_index(), how = 'outer')\n", " except:\n", " language_merge = pd.merge(language_merge, language[i].reset_index(), how = 'outer')\n", " language_merge.drop('level_0', inplace = True, axis = 1)\n", " language_merge.set_index('index', inplace=True)\n", " \n", " return language_merge" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": true }, "outputs": [], "source": [ "language_merge_ds = getLanguage(data_scientists)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Visualize trends of each language over the years" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def visualTrends(language_merge, df_type = 'Data Scientists'):\n", " \"\"\" This function visualized trends of programming languages given a dataset\n", " Input: dataframe that contains trends of languages indexed by year\n", " Output: Returns None, but plots language trends\n", " \"\"\"\n", " language_merge = language_merge.dropna().loc[language_merge.dropna().sort_values(ascending = False, \n", " by = '2018 Beyond').head(7).index]\n", " plt.figure(figsize = (10, 7))\n", " for i in list(language_merge.dropna().T.columns):\n", " plt.plot((language_merge/language_merge.sum() *100).T.loc[:, i], label = i)\n", " plt.xlabel('Year')\n", " plt.ylabel('% out of total users')\n", " plt.legend(bbox_to_anchor=(1, 1))\n", " plt.title(\"Language for\" + df_type +\" Over the Years\")\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "visualTrends(language_merge_ds, df_type = 'Data Scientists')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Do data scientists get paid higher salaries for skipping more meals?**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Salary , Data Scientists vs. Software Engineers By Country" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By Country, missing data are again removed since they will not be evaluated in the graph below" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": true }, "outputs": [], "source": [ "ds_salary = data_scientists['2018'].groupby('Country').mean()['ConvertedSalary'].rename('data scientist salary')\n", "not_ds_salary = not_ds_2018.groupby('Country').mean()['ConvertedSalary'].rename('not data scientist salary')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now select 7 countries to compare" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": true }, "outputs": [], "source": [ "countries = ['China', 'Japan', 'United States', 'Canada', \n", " 'United Kingdom', 'Germany', 'Australia', 'South Africa']\n", "salary_comarison = pd.DataFrame(ds_salary[countries]).join(pd.DataFrame(not_ds_salary[countries]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot salary comparisons" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "visualizeComparison(salary_comarison, \"Salaries\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Open Source Contributions" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": true }, "outputs": [], "source": [ "ds_contributions = (data_scientists['2018']['OpenSource'].value_counts()\n", " /data_scientists['2018']['OpenSource'].value_counts().sum())\n", "nds_contributions = (not_ds_2018['OpenSource'].value_counts()/not_ds_2018['OpenSource'].value_counts().sum())" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(12,6))\n", "f.suptitle('Data Scientists vs.Other Software Engineers Open Source Contribututions')\n", "labels = 'No', 'Yes'\n", "sizes_ax1 = list(ds_contributions)\n", "sizes_ax2 = list(nds_contributions)\n", "ax1.pie(sizes_ax1, labels=labels, colors=colors,\n", " autopct='%1.3f%%', shadow=True, startangle=140)\n", "ax1.axis('equal')\n", "ax1.set_title('Data Scientists')\n", "\n", "ax2.pie(sizes_ax2, labels=labels, colors=colors,\n", " autopct='%1.3f%%', shadow=True, startangle=140)\n", "ax2.axis('equal')\n", "ax2.set_title('Other Software Engineers')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Artificial Intelligence Sentiment**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Used in \"What you should know if you have made it this far\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Find the AI sentiments for both data scientists and other software engineers" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": true }, "outputs": [], "source": [ "AI_sentiments_ds = (data_scientists['2018'].filter(regex = 'AI')\n", " .join(data_scientists['2018'][['Age', 'FormalEducation','UndergradMajor', 'DevType']])).sort_values('Age')\n", "AI_sentiments_nds = (not_ds_2018.filter(regex = 'AI')\n", " .join(not_ds_2018[['Age', 'FormalEducation','UndergradMajor', 'DevType']])).sort_values('Age')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sentiment About AI by different Age Group" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": true }, "outputs": [], "source": [ "pd.options.mode.chained_assignment = None\n", "sentiment_map = {\"I'm worried about the dangers more than I'm excited about the possibilities.\": 'Worried',\n", " \"I'm excited about the possibilities more than worried about the dangers.\": \"Excited\",\n", " \"I don't care about it, or I haven't thought about it.\": \"No Opinion\"\n", " }\n", "AI_sentiments_Future_ds = AI_sentiments_ds.dropna(subset=['AIFuture'])\n", "AI_sentiments_Future_ds.loc[:, 'AIFuture'] = (AI_sentiments_Future_ds['AIFuture']\n", " .map(sentiment_map))\n", "AI_sentiments_Future_nds = AI_sentiments_nds.dropna(subset=['AIFuture'])\n", "AI_sentiments_Future_nds.loc[:, 'AIFuture'] = (AI_sentiments_Future_nds['AIFuture']\n", " .map(sentiment_map))" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(18,7))\n", "f.suptitle('Data Scientists vs.Other Software Engineers AI Sentiment')\n", "sns.countplot(x = 'Age', hue=\"AIFuture\", data = AI_sentiments_Future_ds, ax = ax1)\n", "ax1.set_title('Data Scientists')\n", "sns.countplot(x = 'Age', hue=\"AIFuture\", data = AI_sentiments_Future_nds, ax = ax2)\n", "ax2.set_title('Other Software Engineers')\n", "for tick in ax1.get_xticklabels():\n", " tick.set_rotation(45)\n", "for tick in ax2.get_xticklabels():\n", " tick.set_rotation(45)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Note on handling categorical variables**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since most of the categorical variables are performed as counts or percentage counts, categorical variables are left as it is - treating them as a unique value for each category" ] } ], "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": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }