<jupyter_start><jupyter_text>Education and Training Author: <NAME> In this notebook we are analyzing Education and Training data gathered from survey takers.Instead of working on all the columns, we are going to extract the columns from multipleChoiceResponses.csv that are relevant to the analysis. (we are removing multipleChoiceResponses.csv data frame once the values are extracted from primary memory).Following questions in the survey are related to Education and Training:*	Q4--What is the highest level of formal education that you have attained or plan to attain within the next 2 years?*	Q5--Which best describes your undergraduate major? - Selected Choice*	Q35_Part_1--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Self-taught*	Q35_Part_2--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Online courses (Coursera, Udemy, edX, etc.)*	Q35_Part_3--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Work*	Q35_Part_4--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - University*	Q35_Part_5--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Kaggle competitions*	Q35_Part_6--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Other*	Q35_OTHER_TEXT--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Other - Text*	Q36_Part_1--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Udacity*	Q36_Part_2--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Coursera*	Q36_Part_3--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - edX*	Q36_Part_4--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - DataCamp*	Q36_Part_5--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - DataQuest*	Q36_Part_6--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Kaggle Learn*	Q36_Part_7--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Fast.AI*	Q36_Part_8--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - developers.google.com*	Q36_Part_9--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Udemy*	Q36_Part_10--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - TheSchool.AI*	Q36_Part_11--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Online University Courses*	Q36_Part_12--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - None*	Q36_Part_13--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Other*	Q36_OTHER_TEXT--On which online platforms have you begun or completed data science courses? (Select all that apply) - Other - Text*	Q37--On which online platform have you spent the most amount of time? - Selected Choice*	Q37_OTHER_TEXT--On which online platform have you spent the most amount of time? - Other - Text*	Q38_Part_1--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Twitter*	Q38_Part_2--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Hacker News*	Q38_Part_3--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - r/machinelearning*	Q38_Part_4--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Kaggle forums*	Q38_Part_5--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Fastai forums*	Q38_Part_6--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Siraj Raval YouTube Channel*	Q38_Part_7--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - DataTau News Aggregator*	Q38_Part_8--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Linear Digressions Podcast*	Q38_Part_9--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Cloud AI Adventures (YouTube)*	Q38_Part_10--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - FiveThirtyEight.com*	Q38_Part_11--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - ArXiv & Preprints*	Q38_Part_12--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Journal Publications*	Q38_Part_13--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - FastML Blog*	Q38_Part_14--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - KDnuggets Blog*	Q38_Part_15--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - O'Reilly Data Newsletter*	Q38_Part_16--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Partially Derivative Podcast*	Q38_Part_17--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - The Data Skeptic Podcast*	Q38_Part_18--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Medium Blog Posts*	Q38_Part_19--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Towards Data Science Blog*	Q38_Part_20--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Analytics Vidhya Blog*	Q38_Part_21--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - None/I do not know*	Q38_Part_22--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Other*	Q38_OTHER_TEXT--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Other - Text*	Q39_Part_1--How do you perceive the quality of online learning platforms and in-person bootcamps as compared to the quality of the education provided by traditional brick and mortar institutions? - Online learning platforms and MOOCs:*	Q39_Part_2--How do you perceive the quality of online learning platforms and in-person bootcamps as compared to the quality of the education provided by traditional brick and mortar institutions? - In-person bootcamps:<jupyter_code>import gc

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline

import warnings
warnings.filterwarnings('ignore')
multipleChoiceDF = pd.read_csv('../multipleChoiceResponses.csv',low_memory=False)
multipleChoiceColumns = ['Q4','Q5',
                         'Q35_Part_1','Q35_Part_2','Q35_Part_3','Q35_Part_4','Q35_Part_5','Q35_Part_6',
                         'Q36_Part_1','Q36_Part_2','Q36_Part_3','Q36_Part_4','Q36_Part_5','Q36_Part_6',
                         'Q36_Part_7','Q36_Part_8','Q36_Part_9','Q36_Part_10','Q36_Part_11','Q36_Part_12',
                         'Q36_Part_13',
                         'Q37',
                         'Q38_Part_1','Q38_Part_2','Q38_Part_3','Q38_Part_4','Q38_Part_5','Q38_Part_6',
                         'Q38_Part_7','Q38_Part_8','Q38_Part_9','Q38_Part_10','Q38_Part_11','Q38_Part_12',
                         'Q38_Part_13','Q38_Part_14','Q38_Part_15','Q38_Part_16','Q38_Part_17','Q38_Part_18',
                         'Q38_Part_19','Q38_Part_20','Q38_Part_21','Q38_Part_22',
                         'Q39_Part_1','Q39_Part_2']<jupyter_output><empty_output><jupyter_text>Prior EducationFollowing responses are analyzed in this section:*	Q4--What is the highest level of formal education that you have attained or plan to attain within the next 2 years?*	Q5--Which best describes your undergraduate major? - Selected Choice<jupyter_code>educationDF = multipleChoiceDF[['Q4','Q5']]
educationDF.isnull().any()
educationDF.drop([0],inplace=True)
educationDF.reset_index(drop=True,inplace=True)
educationDF.head()
educationDF.Q4.value_counts()
educationDF.Q4.replace(to_replace='Some college/university study without earning a bachelor’s degree',
                       value='Bachelor’s degree (not graduated)',inplace=True)
educationDF.sort_values("Q4",inplace=True)
educationDF.reset_index(drop=True,inplace=True)
sns.set(rc={'figure.figsize':(18,15)})
ax = sns.countplot(x=educationDF.Q4)
ax.set(xlabel="Degree")
ax.get_figure().savefig("Degree_Distribution.jpeg");
educationDF.Q5.value_counts()
educationDF.Q5.replace(to_replace='Computer science (software engineering, etc.)',
                       value='Computer science',inplace = True)
educationDF.Q5.replace(to_replace='Engineering (non-computer focused)',
                       value='Engineering',inplace = True)
educationDF.Q5.replace(to_replace='A business discipline (accounting, economics, finance, etc.)',
                       value='Business Discipline',inplace = True)
educationDF.Q5.replace(to_replace='Medical or life sciences (biology, chemistry, medicine, etc.)',
                       value='Medical or life sciences',inplace = True)
educationDF.Q5.replace(to_replace='Social sciences (anthropology, psychology, sociology, etc.)',
                       value='Social sciences',inplace = True)
educationDF.Q5.replace(to_replace='Humanities (history, literature, philosophy, etc.)',
                       value='Humanities',inplace = True)
educationDF.sort_values("Q5",inplace=True)
educationDF.reset_index(drop=True,inplace=True)
sns.set(rc={'figure.figsize':(20,25)})
ax = sns.countplot(y=educationDF.Q5)
ax.set(ylabel="Major")
ax.get_figure().savefig("Major_Distribution.jpeg");
educationDF.rename(columns={"Q4":"Degree","Q5":"Major"},inplace=True)
educationDF.to_csv("education.csv",index=False)
del educationDF
gc.collect()<jupyter_output><empty_output><jupyter_text>Training ModeFollowing responses are analyzed in this section:*	Q35_Part_1--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Self-taught*	Q35_Part_2--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Online courses (Coursera, Udemy, edX, etc.)*	Q35_Part_3--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Work*	Q35_Part_4--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - University*	Q35_Part_5--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Kaggle competitions*	Q35_Part_6--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Other*	Q35_OTHER_TEXT--What percentage of your current machine learning/data science training falls under each category? (Answers must add up to 100%) - Other - Text<jupyter_code>multipleChoiceDF = pd.read_csv('../multipleChoiceResponses.csv',low_memory=False)
trainingSourceDF = multipleChoiceDF[['Q35_Part_1','Q35_Part_2','Q35_Part_3','Q35_Part_4','Q35_Part_5','Q35_Part_6']]
trainingSourceDF.shape[0],multipleChoiceDF.shape[0]
del multipleChoiceDF
gc.collect()
trainingSourceDF.head()
trainingSourceDF.drop([0],inplace=True)
trainingSourceDF.reset_index(drop=True,inplace=True)
trainingSourceDF.head()
#trainingSourceDF.info()
trainingSourceDF.rename(columns={"Q35_Part_1":"Self-taught",
                                 "Q35_Part_2":"Online courses",
                                 "Q35_Part_3":"Work",
                                 "Q35_Part_4":"University",
                                 "Q35_Part_5":"Kaggle Competitions",
                                 "Q35_Part_6":"Other"},
                        inplace = True)
trainingSourceDF = pd.melt(trainingSourceDF)
trainingSourceDF.rename(columns={"variable":"Training-Mode"},inplace=True)
trainingSourceDF.sort_values("Training-Mode",inplace=True)
trainingSourceDF.reset_index(drop=True,inplace=True)
trainingSourceDF.dropna(inplace=True)
trainingSourceDF.reset_index(drop=True,inplace=True)
trainingSourceDF['value']=trainingSourceDF.value.astype(float)
sns.set(rc={'figure.figsize':(18,15)})
sns.barplot(x="Training-Mode", y="value", data=trainingSourceDF)
plt.xlabel("Training Mode")
ax.get_figure().savefig("Training Mode_Distribution.jpeg")
plt.show(ax);
trainingSourceDF.to_csv('trainingMode.csv',index=False)<jupyter_output><empty_output><jupyter_text>Online resourcesFollowing responses are analyzed in this section:*	Q36_Part_1--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Udacity*	Q36_Part_2--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Coursera*	Q36_Part_3--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - edX*	Q36_Part_4--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - DataCamp*	Q36_Part_5--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - DataQuest*	Q36_Part_6--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Kaggle Learn*	Q36_Part_7--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Fast.AI*	Q36_Part_8--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - developers.google.com*	Q36_Part_9--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Udemy*	Q36_Part_10--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - TheSchool.AI*	Q36_Part_11--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Online University Courses*	Q36_Part_12--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - None*	Q36_Part_13--On which online platforms have you begun or completed data science courses? (Select all that apply) - Selected Choice - Other*	Q36_OTHER_TEXT--On which online platforms have you begun or completed data science courses? (Select all that apply) - Other - Text*	Q37--On which online platform have you spent the most amount of time? - Selected Choice*	Q37_OTHER_TEXT--On which online platform have you spent the most amount of time? - Other - Text<jupyter_code>multipleChoiceDF = pd.read_csv('../multipleChoiceResponses.csv',low_memory=False)
onlineSourceDF = multipleChoiceDF[['Q36_Part_1','Q36_Part_2','Q36_Part_3','Q36_Part_4','Q36_Part_5','Q36_Part_6',
                                   'Q36_Part_7','Q36_Part_8','Q36_Part_9','Q36_Part_10','Q36_Part_11','Q36_Part_12',
                                   'Q36_Part_13']]
onlineSourceDF.shape[0],multipleChoiceDF.shape[0]
del multipleChoiceDF
gc.collect()
onlineSourceDF.head()
onlineSourceDF.drop([0],inplace=True)
onlineSourceDF.reset_index(drop=True,inplace=True)
onlineSourceDF.head()
onlineSourceDF = onlineSourceDF.melt()
onlineSourceDF.head()
onlineSourceDF.drop(columns=['variable'],inplace=True)
onlineSourceDF.dropna(inplace=True)
onlineSourceDF.shape
onlineSourceDF.rename(columns={'value':'Online_Source'},inplace=True)
sns.set(rc={'figure.figsize':(25,15)})
sns.countplot(x = onlineSourceDF.Online_Source)
plt.xlabel("Online Source")
ax.get_figure().savefig("Online Source Distribution.jpeg")
plt.show(ax);
onlineSourceDF.to_csv("online_source.csv",index=False)
del onlineSourceDF
gc.collect()
multipleChoiceDF = pd.read_csv('../multipleChoiceResponses.csv',low_memory=False)
onlineSourceDF = pd.DataFrame(multipleChoiceDF['Q37'])
del multipleChoiceDF
gc.collect()
onlineSourceDF.head()
onlineSourceDF.drop([0],inplace=True)
onlineSourceDF.reset_index(drop=True,inplace=True)
onlineSourceDF.head()
onlineSourceDF = pd.melt(onlineSourceDF)
onlineSourceDF.drop(columns=['variable'],inplace=True)
onlineSourceDF.dropna(inplace=True)
onlineSourceDF.reset_index(drop=True,inplace=True)
onlineSourceDF.rename(columns={'value':'Online_Favorite'},inplace=True)
sns.set(rc={'figure.figsize':(25,15)})
sns.countplot(x = onlineSourceDF.Online_Favorite)
plt.xlabel("Online Favorite")
ax.get_figure().savefig("Online Favorite Distribution.jpeg")
plt.show(ax);
onlineSourceDF.to_csv("online_favorite.csv",index=False)
del onlineSourceDF
gc.collect()<jupyter_output><empty_output><jupyter_text>Media resourcesFollowing responses are analyzed in this section:*	Q38_Part_1--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Twitter*	Q38_Part_2--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Hacker News*	Q38_Part_3--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - r/machinelearning*	Q38_Part_4--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Kaggle forums*	Q38_Part_5--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Fastai forums*	Q38_Part_6--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Siraj Raval YouTube Channel*	Q38_Part_7--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - DataTau News Aggregator*	Q38_Part_8--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Linear Digressions Podcast*	Q38_Part_9--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Cloud AI Adventures (YouTube)*	Q38_Part_10--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - FiveThirtyEight.com*	Q38_Part_11--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - ArXiv & Preprints*	Q38_Part_12--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Journal Publications*	Q38_Part_13--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - FastML Blog*	Q38_Part_14--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - KDnuggets Blog*	Q38_Part_15--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - O'Reilly Data Newsletter*	Q38_Part_16--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Partially Derivative Podcast*	Q38_Part_17--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - The Data Skeptic Podcast*	Q38_Part_18--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Medium Blog Posts*	Q38_Part_19--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Towards Data Science Blog*	Q38_Part_20--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Analytics Vidhya Blog*	Q38_Part_21--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - None/I do not know*	Q38_Part_22--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Selected Choice - Other*	Q38_OTHER_TEXT--Who/what are your favorite media sources that report on data science topics? (Select all that apply) - Other - Text<jupyter_code>multipleChoiceDF = pd.read_csv('../multipleChoiceResponses.csv',low_memory=False)
mediaSourcesDF = multipleChoiceDF[['Q38_Part_1','Q38_Part_2','Q38_Part_3','Q38_Part_4','Q38_Part_5','Q38_Part_6',
                                  'Q38_Part_7','Q38_Part_8','Q38_Part_9','Q38_Part_10','Q38_Part_11','Q38_Part_12',
                                  'Q38_Part_13','Q38_Part_14','Q38_Part_15','Q38_Part_16','Q38_Part_17','Q38_Part_18',
                                  'Q38_Part_19','Q38_Part_20','Q38_Part_21','Q38_Part_22']]
mediaSourcesDF.shape[0],multipleChoiceDF.shape[0]
del multipleChoiceDF
gc.collect()
mediaSourcesDF.head()
mediaSourcesDF.drop([0],inplace=True)
mediaSourcesDF.reset_index(drop=True,inplace=True)
mediaSourcesDF.head()
mediaSourcesDF = pd.melt(mediaSourcesDF)
mediaSourcesDF.head()
mediaSourcesDF.drop(columns=['variable'],inplace=True)
mediaSourcesDF.dropna(inplace=True)
mediaSourcesDF.reset_index(drop=True,inplace=True)
mediaSourcesDF.rename(columns={'value':'Media_Sources'},inplace=True)
sns.set(rc={'figure.figsize':(25,20)})
sns.countplot(y = mediaSourcesDF.Media_Sources)
plt.xlabel("Media Sources")
ax.get_figure().savefig("Media Sources Distribution.jpeg")
plt.show(ax);
mediaSourcesDF.to_csv("media_source.csv",index=False)
del mediaSourcesDF
gc.collect()<jupyter_output><empty_output><jupyter_text>Bootcamp & Online training vs Traditional educationFollowing responses are analyzed in this section:*	Q39_Part_1--How do you perceive the quality of online learning platforms and in-person bootcamps as compared to the quality of the education provided by traditional brick and mortar institutions? - Online learning platforms and MOOCs:*	Q39_Part_2--How do you perceive the quality of online learning platforms and in-person bootcamps as compared to the quality of the education provided by traditional brick and mortar institutions? - In-person bootcamps:<jupyter_code>multipleChoiceDF = pd.read_csv('../multipleChoiceResponses.csv',low_memory=False)
moocBootVsUnivDF = multipleChoiceDF[['Q39_Part_1','Q39_Part_2']]
moocBootVsUnivDF.head()
moocBootVsUnivDF.drop([0],inplace=True)
moocBootVsUnivDF.dropna(inplace=True)
moocBootVsUnivDF.reset_index(drop=True,inplace=True)
sns.set(rc={'figure.figsize':(12,10)})
sns.countplot(x = moocBootVsUnivDF.Q39_Part_1)
plt.xlabel("MOOC vs Traditional")
ax.get_figure().savefig("MOOC vs Univ Distribution.jpeg")
plt.show(ax);
sns.set(rc={'figure.figsize':(12,10)})
sns.countplot(x = moocBootVsUnivDF.Q39_Part_2)
plt.xlabel("BootCamp vs Traditional")
ax.get_figure().savefig("BootCamp vs Univ Distribution.jpeg")
plt.show(ax);
moocBootVsUnivDF.rename(columns={'Q39_Part_1':'MOOC','Q39_Part_2':'BootCamp'},inplace=True)
moocBootVsUnivDF.to_csv("moocBootVsUniv.csv",index=False)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.09031450603577051, 'fraction_numerical': 0.030239412168436352, 'mean_word_length': 5.090484386525695, 'pattern_counts': {'":': 9, '<': 26, '<?xml version=': 0, '>': 26, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 10, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
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