The Hillary Clinton Email Explorer

Jake Lehrhoff, John Montroy and Chris Neimeth

Posted on Dec 5, 2015

Contributed by Jake Lehrhoff, John Montroy, and Chris Neimeth. They took NYC Data Science Academy 12 week full time Data Science Bootcamp program between Sept 23 to Dec 18, 2015. The post was based on his fourth class project (due the 9th week of the program).

For the greater part of 2015, Hillary Clinton has been under fire for her near-exclusive use of a personal email account on a non-governmental server during her time as Secretary of State. The press was certainly not the type a presidential candidate hopes for 18 months before an election. Amidst continued investigation on the 2012 attacks on the Benghazi consulate, scandal rolled into scandal. State department lawyers uncovered the former Secretary of State's potential breach of email protocol while working through documents from the House Select Committee on Benghazi. Investigators and pundits alike questioned Mrs. Clinton's continued council from Sidney Blumenthal, a family friend and advisor who held no role in the State Department. As if Mrs. Clinton wasn't already dominating the 24-hour news cycle as the Benghazi deposition loomed, suddenly there was even more to the conversation: rather than questioning Mrs. Clinton's foresight and commitment to defending United States citizens working overseas, news anchors had us questioning our very trust of a POTUS frontrunner.

HRC during an 11-hour Benghazi hearing. Photo: Christy Bowe/Corbis

Months later, after an 11-hour Benghazi hearing that included a representative symbolically ripping up a blank piece of paper and another piling a desk with a stack of emails from the former Secretary of State's private-server emails for dramatic effect, perhaps Bernie Sanders said it best: "Enough of the emails. Let's talk about the real issues facing America."

Even for those who agree with the Vermont Senator's sentiment, it can be difficult to disengage from the discussion, especially now that we have the actual emails. After a series of Freedom of Information Act lawsuits, each passing month sees newly released emails from the original 55,000 pages. Nearly 8,000 of the released emails were cleaned and hosted on Kaggle.com, a website for data science competitions, inviting users to "uncover the political landscape" in these documents. Given how tired this scandal has grown, we decided the only thing left to do was create a tool such that you can do your own investigation. No matter what your feelings are about Hillary Clinton, we hope you enjoy The Hillary Clinton Email Explorer.

*The website is currently in beta, so please do let us know if you experience any outages.

Overview

The landing page of the Explorer provides basic exploratory data analysis of the dataset. Many of the 7,945 released emails were redacted, and far more will likely never be released. What was available to us can paint a variety of pictures. Overall, Mrs. Clinton's emails were extremely short, averaging just 19 words, while Sidney Blumenthal's averaged over 600 words. It appears that Mr. Blumenthal sent far more emails than he received, but we know nothing about the content of the over 40,000 unreleased emails.

EPT Counter

The Email-Person-Topic Counter allows you to type in a series of search words and select senders to see the count of emails sent containing those words. Above, you can see that "Benghazi," "Libya," and "attack" appear in surprisingly few emails. One would imagine that the majority of emails concerning those topics remain unreleased or classified. But finer details can be gleaned: though Jake Sullivan and Huma Abedin held the title of Deputy Chief of Staff, the content of these emails suggest that Huma was less involved in the affairs in Benghazi.

Screen Shot 2015-12-04 at 6.02.22 PM This simple tool can answer so many questions. Who says their "please" and "thank you's"? Who is concerned with basic administrative tasks? It seems that Mrs. Clinton is quite courteous in her emails (although she does prefer "pls" to "please"). We also see that Huma Abedin is more concerned with administrative tasks than her counterpart or her superior, Cheryl Mills.
Screen Shot 2015-12-04 at 6.24.22 PM Here's another question: how does everyone refer to President Obama? Only Mrs. Clinton uses the shortened POTUS, while Mr. Blumenthal is more likely than the rest to just use the president's first name. Overall, "Obama" is the most popular, while very few use the formal "President Obama." Fascinating!

Please play with it yourself! If you find anything particularly interesting, please post it in the comments below. A few quick instructions: separate your search terms with only a comma, no space, (e.g., "Iran,Iraq,Syria"). Also, hold the shift key to select multiple senders. To get you started, why don't you check out who wants tea and who wants coffee? And for a sanity check, search "tea party" as well, to make sure we know what kind of tea everyone is talking about!

Wordcloud Generator

To add to our investigation of the content within the released emails, we developed a wordcloud application. Select the name of one of the top contributors, and see a cloud of the most common words in his or her emails. Size represents the frequency that a given word appeared in the emails; the color is merely cosmetic. A quick scan of Mrs. Clinton's word cloud shows that she is largely concerned with high level administrative tasks. "Thx," "pls," "print," "will," "call," "time," and "know" all appear prominently.

Screen Shot 2015-12-04 at 6.39.39 PM Sidney Blumenthal's wordcloud shows more focused content covering a range of political topics. "Obama," "political," "Israel," and "issue" are all easy to locate. This wordcloud gives a peak as to the nature of Mr. Blumenthal's advice for the former Secretary. It's also relieving that even the highest level political advisors in the country aren't above abbreviating "you" down to a single letter.

Check out the wordclouds for the other top contributors to get a sense of their roles within Mrs. Clinton's State Department.

Sentiment Analysis

The sentiment analysis tab provides the most unique view of the data. "Sentiment" runs from -1 to 1, depicting a range of completely negative to completely positive content. Sentiment was determined using TextBlob, a Python package that determines sentiment by comparing text to its own lexicons of positive and negative words.

Each query returns two graphs. The first graph gives a density of a given sender's sentiment. The highest peak shows the sentiment (x-axis) that is most common for that sender. Mrs. Clinton's emails were largely positive, with peaks at 0.2 and 0.5. This isn't surprising given all the "please" and "thank you's" that we discovered she uses in her emails.

On the right we see the average sentiment of emails sent to each of the recipients along the x-axis. While Mrs. Clinton is positive with everyone, she is the most positive with Mr. Blumenthal and least positive with Mr. Sullivan.

When selecting a sender besides Mrs. Clinton, it's important to remember that sentiment to any recipient besides the Secretary of State comes from a small sample of emails. However, there is still understanding to be gleaned. Cheryl Mills and Jake Sullivan, though positive toward Hillary Clinton and Huma Abedin, are not so rosy with each other. In fact, Jake Sullivan's sentiment in emails to Cheryl Mills is actually negative.

The Code

All the code necessary to run this website can be found in our github repository.

The Hillary Clinton Email Explorer website was built with Flask, a python-based web development framework. The design of the website comes from Bootstrap, which puts the stylings of the entire internet at your fingertips. Each page of the website has its own unique HTML file that contains the structure of the page. A series of Bootstrap CSS files decorate the pages while javascript files add functionality. While we worked with the HTML to populate the pages with our material, we did not have to touch the CSS or JS files that Bootstrap produces for the user. The following functions are housed in an init.py file.

Get the emails

The data is in a mysql database, and the below function gets the data and populates a pandas data frame with the given column names.

def getEmails():
    con = mysql.connect()
    cur = con.cursor()
    sql = """SELECT * FROM EmailsC"""

    cur.execute(sql)

    Emails = cur.fetchall()
    Emails2 = [tuple(elm,) for elm in Emails]
    EmailsFinal = pd.DataFrame(Emails2, columns = [u'Id', u'DocNumber', u'MetadataSubject', u'MetadataTo', u'MetadataFrom',
       u'SenderPersonId', u'MetadataDateSent', u'MetadataDateReleased',
       u'MetadataPdfLink', u'MetadataCaseNumber', u'MetadataDocumentClass',
       u'ExtractedSubject', u'ExtractedTo', u'ExtractedFrom', u'ExtractedCc',
       u'ExtractedDateSent', u'ExtractedCaseNumber', u'ExtractedDocNumber',
       u'ExtractedDateReleased', u'ExtractedReleaseInPartOrFull',
       u'ExtractedBodyText', u'RawText'])
    
    return EmailsFinal

Cleaning the Data

The following functions use regular expressions to clean unnecessary or problem elements from the text. The first eliminates symbols and the second strips particular phrases from the emails, particularly those that label an email as being investigated by the House Benghazi investigation committee. While these regular expressions certainly strip out unwanted material, it is feasible that they pull a few words out of the emails that were in fact innocuous and part of the true body text. However, as the words in question are sentiment-less, we do not feel that we are risking the loss of pertinent data.

def rmNonAlpha(texts):  
    """
    Remove non-alphabetic characters (roughly)
    """
    
    if isinstance(texts, list):
        ctext = [re.sub(r'\s+', ' ', ctext) for ctext in [re.sub(r'[[$$()<>{}!:,;-_|\."\'\\]', '', text) for text in texts]]
    
    elif isinstance(texts, (str, unicode)):
        ctext = re.sub(r'[(){}<>,\.!?;:\'"/\\\_|]', '', texts)
    
    return ctext

def rmBoring(texts):
    """
    Remove boring stuff.
    Warning: strong assumptions ahead...but we gotta do some chopping.
    """
    
    # overhead stuff
    ctext = re.sub(r'^From .*\n', '', texts, flags=re.MULTILINE)
    ctext = re.sub(r'^To .*\n', '', ctext, flags=re.MULTILINE)
    ctext = re.sub(r'^Case No .*\n', '', ctext, flags=re.MULTILINE)
    ctext = re.sub(r'^Sent .*\n', '', ctext, flags=re.MULTILINE)
    ctext = re.sub(r'^Doc No .*\n', '', ctext, flags=re.MULTILINE)
    ctext = re.sub(r'^Subject .*\n', '', ctext, flags=re.MULTILINE)
    
    # other misc
    ctext = re.sub(r'.*@.*', '', ctext) # emails
    ctext = re.sub(r'(?i)(monday|tuesday|wednesday|thursday|friday|saturday|sunday).*\d{3,4} [AP]M\n', '', ctext, flags = re.MULTILINE) # timestamps
    ctext = re.sub(r'Fw .*\n', '', ctext, flags = re.MULTILINE) # forward line
    ctext = re.sub(r'Cc .*\n', '', ctext, flags = re.MULTILINE) # Cc line
    ctext = re.sub(r'B[56(7C)]', '', ctext)
    
    # house benghazi committee stuff
    ctext = re.sub(r'Date 05132015.*\n', '', ctext, flags = re.MULTILINE) 
    ctext = re.sub(r'STATE DEPT  .*\n', '', ctext, flags = re.MULTILINE)
    ctext = re.sub(r'SUBJECT TO AGREEMENT.*\n', '', ctext, flags = re.MULTILINE)
    ctext = re.sub(r'US Department of State.*\n', '', ctext, flags = re.MULTILINE)

    return re.sub(r'\s+', ' ', ctext).lower()

Counts by keyword

The following two functions creates a count of emails that contain particular topics. The first function takes a single person and creates a count of emails that contain each of the given keywords. The second uses that function to complete that task for all the selected email senders.

def CountsByKeyword(df, col, person, topics, StartDate = '2009-01-01', EndDate = '2013-01-01'):
    """
    Returns a dict of total mention counts per keyword for the given person. 
    Returns counts for the passed in time frame, defaults to entire timeframe.
    
    'By' parameter controls which field you're getting counts by.
    Big return says: return a dictionary via comprehension for lists, or just a dict for one value
    
    """
    
    if not isinstance(topics, (str, unicode, list)): 
        raise TypeError('\'topics\' parameter must be either str or list') 
    
    person = '(' + person + ')'
    StartDate = datetime.strptime(StartDate, '%Y-%m-%d')
    EndDate = datetime.strptime(EndDate, '%Y-%m-%d') 

    return (
        {topic: df[col].loc[
                (df[col].str.contains(person, case = False)) 
                & (df['ExtractedBodyText'].str.contains(topic, case = False))
                & (df['MetadataDateSent'] > StartDate)
                & (df['MetadataDateSent'] < EndDate)].count()
            for topic in topics}


def buildCounterDF(personlist, topiclist):
    PersonThing = list()
    PersonTopic = pd.DataFrame()

    topiclist = topiclist.split(',')

    for person in personlist:
        PersonThing.append(
            tuple((person, 
                   CountsByKeyword(Emails, col = 'MetadataFrom', person = person, topics = topiclist))
            )
    )

    for item in PersonThing:
        tdf = pd.DataFrame.from_dict(item[1], orient = 'index')
        tdf['Person'] = item[0]
        tdf.reset_index(level = 0, inplace = True)
        tdf.rename(columns = {'index': 'Topic', 0: 'count'}, inplace = True)
        tdf = tdf[['Person', 'Topic', 'count']]

        PersonTopic = PersonTopic.append(tdf)

    return PersonTopic

Make Sentiment

Sentiment is determined with TextBlob. Two functions are necessary as the first creates the data that will populate the first sentiment graph, which shows the density of sentiments among a given sender's corpus of emails. The second determines the sentiment by recipient. The extra argument, "personlist" is populated with the selected recipients from the dropdown menu on the application.

def GetSentimentPerPerson(df, person):
    
    text = df[['MetadataFrom','ExtractedBodyText']].loc[
            (df.MetadataFrom.str.contains('(' + person + ')'))]
    
    text.ExtractedBodyText = text.ExtractedBodyText.apply(lambda x: rmBoring(rmNonAlpha(x)).decode('ascii', 'ignore'))
    
    text['sentiment'] = text['ExtractedBodyText'].apply(lambda x: TextBlob(x).polarity)

    return text.loc[text.sentiment != 0] # only return meaningful         

def GetSentimentForPeople(df, target, personlist):
    
    sentimentlist = list()

    stoplist = set('for a of the and to in on from'.split())
    
    for person in personlist:
        text = df['ExtractedBodyText'].loc[
                (df.MetadataFrom.str.contains('(' + target + ')'))
                & (df.MetadataTo.str.contains('(' + person + ')'))].values.tolist()
        
        text = ' '.join([str(word) for word in text if word not in stoplist])
        text = rmBoring(rmNonAlpha(text)).decode('ascii', 'ignore')
        
        sentimentlist.append(tuple((person, TextBlob(text).polarity)))
    
    return sentimentlist

Creating Visualizations

The HTML files running the website contain Flask code seen below. The request.args.get function takes the two inputs, "target" and "personlist" and uses them to make "sentplot" and "sentpeopleplot," two plots that are defined back in init.py and will eventually populate the sentiment page.

{% if request.args.get('target') != None and 
            request.args.get('personlist') != None %} 
        <div class="panel panel-primary">
          <div class="panel-heading">
            <h3 class="panel-title" style="text-align:center;">Graph Results</h3>
          </div>
          <div class="panel-body">
            <span><center>
              <img src="{{ url_for('sentplot', target = target, personlist = personlist) }}" alt="Distribution of sentiment" style = "position:relative;top:-10px;" height = 600 width = 650>
              <img src="{{ url_for('sentpeopleplot', target = target, personlist = personlist) }}" alt="Personal sentiment towards others" style = "position:relative;top:-10px;" height = 600 width = 650>

Back in __init.py__ these graphs are defined much like they would be in a normal python shell. The only unique pieces are the "@app.route" lines. You may notice, as you play with the website, that your graphing requests appear in the url itself. The line in question maps where the arguments exist in the url, to be passed into the function itself. The lines plt.clf() clear matplotlib of any existing plot, making room for the new visualization. The functions return send_file(img, mimetype='image/png'), a png of the otherwise typical plot.

@app.route('/fig/<target>/<personlist>/sentplot.png')
def sentplot(target, personlist):

    target = re.sub(r'\+', ' ', target)
    EmailSnt = GetSentimentPerPerson(Emails, target)

    plt.clf()

    sns.distplot(EmailSnt.sentiment)
    plt.xlim(-1,1)
    plt.title('Email Sentiment: {}'.format(target), fontsize = 16)

    fig = plt.gcf()
    img = StringIO.StringIO()
    fig.savefig(img)
    img.seek(0)

    return send_file(img, mimetype='image/png')

@app.route('/fig/<target>/<personlist>/sentpeopleplot.png')
def sentpeopleplot(target, personlist):

    target = re.sub(r'\+', ' ', target)
    personlist = personlist.split(',')

    s = GetSentimentForPeople(Emails, target, personlist)
    s = pd.DataFrame(s, columns = ['Person', 'Sentiment'])

    plt.clf()

    sns.barplot(x='Person', y = 'Sentiment', data=s)
    plt.ylabel('Sentiment')
    plt.title('How {} feels'.format(target))

    fig = plt.gcf()
    img = StringIO.StringIO()
    fig.savefig(img)
    img.seek(0)

    return send_file(img, mimetype='image/png')

Debugging

Flask has an intuitive debugging interface. If the app does not run, traceback errors appear on the page that allow the programmer to run Python as if the web browser were your console. The final grey line contains the original error, and then prompts the user to use the window like a console. Here we've typed in the object "personlis" when we meant "personlist." We can recreate the error and work to determine what the line ought to be. In a world where bugs may too often feel beyond one's reach, Flask's debugging system is a welcome and effective tool.

Conclusion

This project was a fascinating topic wrapped in an exciting technical challenge. As data scientists, we here at NYC Data Science Academy are not full stack engineers, and yet with the help of Flask and Bootstrap, we were able to create a functional, attractive website to showcase our work.

Hillary Clinton's released Secretary of State emails contain a wealth of information. Our website only begins to tap into all that content. For all it can dig out of this dataset, we have yet to show you a single, complete email. So, to conclude, here is one particularly important example. Enjoy!

About Authors

Jake Lehrhoff

Jake Lehrhoff is a man of many hats. Currently, he is an analyst at Spotify, helping to improve an already amazing product. Previously, he spent six years teaching middle school English and chairing the department at a school...

View all posts by Jake Lehrhoff >

John Montroy

John Montroy is a graduate of Middlebury College with a B.A. in Physics. After a summer of particle physics at CERN with the Harvard ATLAS team, he began his career as a data analyst in the auto industry....

View all posts by John Montroy >

Chris Neimeth

Chris Neimeth is a serial entrepreneur in the technology, media and entertainment businesses. Neimeth has served in various strategic roles: CEO of Salon Media Group Inc., President of IAC Partner Marketing, Executive Vice President of Ticketmaster, President/CEO of...

View all posts by Chris Neimeth >

Machine Learning

The Ames Data Set: Sales Price Tackled With Diverse Models

AWS

Automated Data Extraction and Transformation Using Python, OpenAI, and AWS

Data Visualization

Beyond the Podium: A Global Journey Through Formula 1 History

Machine Learning

Beware of Feature Importance for Business Decisions

Capstone

LendingClub Grade Optimization

Cancel reply

You must be logged in to post a comment.

BradVon October 9, 2023

Actually, the information is interesting and useful. I appreciate you sharing this insightful knowledge with us right now. Keep us updated in geometry dash bloodbath, please.

Google January 4, 2021

Google One of our guests recently proposed the following website.

Google December 27, 2020

Google Here are some of the web sites we suggest for our visitors.

Google September 27, 2019

Google Here are a number of the web-sites we recommend for our visitors.

Google September 17, 2019

Google We prefer to honor several other web web-sites on the internet, even though they arent linked to us, by linking to them. Below are some webpages worth checking out.

polecam przeczytac October 17, 2017

You should participate in a contest for among the finest blogs on the web. I will recommend this website!

idz tutaj October 6, 2017

I saw a lot of website but I believe this one contains something special in it in it

o menopauzie October 3, 2017

Enjoyed looking at this, very good stuff, thankyou .

kliknij ten link September 23, 2017

The following time I learn a blog, I hope that it doesnt disappoint me as much as this one. I mean, I do know it was my choice to learn, however I truly thought youd have one thing interesting to say. All I hear is a bunch of whining about something that you could possibly repair should you werent too busy on the lookout for attention.

zwalczanie szkodników drewna September 19, 2017

A powerful share, I just given this onto a colleague who was doing a little bit analysis on this. And he the truth is purchased me breakfast as a result of I found it for him.. smile. So let me reword that: Thnx for the deal with! But yeah Thnkx for spending the time to debate this, I really feel strongly about it and love reading more on this topic. If potential, as you become experience, would you thoughts updating your blog with more particulars? It's extremely useful for me. Massive thumb up for this blog put up!

wiecej info September 14, 2017

the baby cribs should be as protected as possible and it should have additiona safety features..

strona www September 13, 2017

Dead pent subject matter, thanks for entropy.

wiecej o autorze September 9, 2017

Thank you for your entire effort on this web site. Betty delights in working on research and it’s easy to see why. Many of us know all about the compelling medium you deliver vital tricks through your blog and in addition strongly encourage response from visitors about this area while our favorite simple princess has been discovering a whole lot. Have fun with the remaining portion of the new year. You are always performing a remarkable job.

prosto z tego zródla September 7, 2017

As I site possessor I believe the content matter here is rattling great , appreciate it for your hard work. You should keep it up forever! Good Luck.

pelen raport September 6, 2017

we have a great variety of hand tools at home, we always buy it from the local home depot`

sprawdz to August 23, 2017

baby strollers with high traction rollers should be much safer to use compared to those with plastic wheels,.

kliknij po zródlo August 23, 2017

Congratulations on having One of the most sophisticated blogs Ive come throughout in a few time! Its just incredible how much you can remove from some thing thanks to how visually beautiful it’s. Youve put collectively an awesome blog space -great graphics, videos, layout. This can be undoubtedly a must-see weblog!

wiecej o autorze August 8, 2017

I have just opened my own blog to convey this sort of thing from my own understanding. Goodluck on your website. I hope to link to your website if my content needs more support.

Zdobadz wiecej info July 12, 2017

Strong blog. I acquired several nice info. I?ve been keeping a watch on this technology for a few time. It?utes attention-grabbing the method it retains totally different, however many of the primary components remain a similar. have you observed a lot change since Search engines created their own latest purchase in the field?

odkryj wiecej July 11, 2017

when it comes to beautiful smile and beautiful teeth, Rachel McAdams have it all`

mój link July 5, 2017

So informative things are provided here,I really happy to read this post,I was just imagine about it and you provided me the correct information I really bookmark it,for further .

zobacz tutaj June 13, 2017

i love cougars that is why i love to watch Desperate Housewives and also Cougar Town**

sprawdz mój blog May 25, 2017

I dugg some of you post as I thought they were handy very helpful

dowiedz sie wiecej May 18, 2017

Hi, do you have a facebook fan page for your blog?;;~~;

kliknij May 17, 2017

Some times its a pain in the ass to read what blog owners wrote but this website is really user pleasant! .

link May 8, 2017

There are a couple of interesting points over time in this posting but I don’t know if I see every one of them center to heart. There may be some validity but I most certainly will take hold opinion until I consider it further. Excellent post , thanks so we want much more! Added to FeedBurner likewise

office clearance london April 22, 2017

You produced some decent points there. I looked on the net to the issue and discovered most people goes together with along with your website.

prosto z tego zródla April 21, 2017

Prince of Persia is the best, i really like the lead actor and also the princess, the princess is very pretty.,

zobacz tutaj March 2, 2017

Hi there, i read your blog from time to time wertycb and i own a similar one and i was just wondering if you get a lot of spam responses? If so how do you stop it, any plugin or anything you can recommend? I get so much lately it's driving me crazy so any support is very much appreciated.

dowiedz sie February 23, 2017

Wonderful blog polkkoy! Do you have any hints for aspiring writers? I'm hoping to start my own website soon but I'm a little lost on everything. Would you advise starting with a free platform like Wordpress or go for a paid option? There are so many options out there that I'm completely confused .. Any recommendations? Kudos!

Lyle Gass February 14, 2017

you’re truly a just appropriate webmaster. The web site loading velocity is amazing. It kind of feels that you’re doing any distinctive trick. Also, The contents are masterwork. you have performed a amazing job in this topic!

Marlen Flom February 11, 2017

This website is my inhalation, genuinely fantastic layout and Perfect written content.

Whitney Delongis January 21, 2017

What a fantastic post you've made. I just stopped in to tell you I really enjoyed the read and shall be dropping by from time to time from now on.

kliknij ten link January 13, 2017

hey there and thanks gpginnsscv for your information – I’ve definitely picked up anything new from right here. I did alternatively experience some technical issues the use of this site, since I experienced to reload the web site many occasions previous to I may just get it to load correctly. I have been puzzling over in case your web host is OK? No longer that I am complaining, however slow loading cases times will often have an effect on your placement in google and can injury your high-quality ranking if advertising and ***********|advertising|advertising|advertising and *********** with Adwords. Anyway I am including this RSS to my e-mail and can glance out for a lot more of your respective exciting content. Ensure that you replace this again soon..

oferta January 13, 2017

I believe that fwfpfkvnv avoiding processed foods would be the first step for you to lose weight. They will taste very good, but processed foods have very little vitamins and minerals, making you take in more in order to have enough vigor to get over the day. When you are constantly feeding on these foods, transitioning to cereals and other complex carbohydrates will help you to have more electricity while taking in less. Good blog post.

idz tutaj December 7, 2016

Thanks for your article. mfpfklcncc I have generally observed that many people are needing to lose weight simply because wish to appear slim as well as attractive. Even so, they do not continually realize that there are many benefits for losing weight additionally. Doctors insist that fat people are afflicted by a variety of diseases that can be instantly attributed to their own excess weight. Thankfully that people who sadly are overweight as well as suffering from several diseases can help to eliminate the severity of their particular illnesses simply by losing weight. You'll be able to see a gradual but marked improvement in health when even a slight amount of losing weight is obtained.

kliknij November 24, 2016

Along with vvferggd the whole thing that appears to be developing inside this particular subject matter, a significant percentage of points of view are actually fairly refreshing. Having said that, I am sorry, but I can not give credence to your whole strategy, all be it radical none the less. It looks to everyone that your remarks are actually not completely rationalized and in simple fact you are generally your self not even totally certain of the point. In any case I did take pleasure in examining it.

kliknij tutaj November 16, 2016

This cwefowefc site can be a stroll-by means of for the entire information you needed about this and didn’t know who to ask. Glimpse here, and also you’ll undoubtedly discover it.

biuro rachunkowe ligota November 12, 2016

Thanks for your article lfofyyttss. I would like to comment that the very first thing you will need to perform is check if you really need credit score improvement. To do that you simply must get your hands on a copy of your credit file. That should never be difficult, since government makes it necessary that you are allowed to have one free of charge copy of your credit report each year. You just have to check with the right people. You can either look into the website for your Federal Trade Commission or maybe contact one of the main credit agencies straight.

meskie sprawy November 8, 2016

I'm usually to fpfoggd blogging and i really recognize your content. The article has actually peaks my interest. I am going to bookmark your site and hold checking for brand spanking new information.

mieszkania Wroclaw sprzedaz November 6, 2016

It’s actually a cool and helpful podjcuivc piece of info. I am glad that you just shared this useful information with us. Please stay us informed like this. Thanks for sharing.

mieszkanie Gdansk October 30, 2016

It's best to participate in a contest for poisuus top-of-the-line blogs on the web. I'll advocate this site!

Meagan October 25, 2016

Good information. Lucky me I reach on your own site by accident, I bookmarked it.

uzyteczne zródlo September 17, 2016

You should fpfjnbs participate in a contest for among the finest blogs on the web. I'll recommend this web site!

JudiCBerrian September 17, 2016

Pretty! This was an extremely wonderful article. Many thanks for providing these details.

lien August 25, 2016

Mostt individuals are not willing to danger 10 years wage after they're in front of thhe decide, but those self same persons are keen to threat that same sum of money, or more, every time they purchase resal property out of the country.

diversification bébé August 23, 2016

Followers of this food plan plan would additionally benefit from regular exercise as they get too take pleasure in normal power ranges and use the pounbds they shed in more productive activities.

pokemon emoji For Iphone August 19, 2016

Awesome issues here. I am very glad to peer your article. Thank you so much and I'm taking a look ahead to contact you. Will you kindly drop me a e-mail?

JerryGCarper August 10, 2016

Hi I am so excited I found your webpage, I really found you by accident, while I was looking on Askjeeve for something else, Nonetheless I am here now and would just like to say cheers for a remarkable post and a all round interesting blog (I also love the theme/design), I dont have time to browse it all at the minute but I have bookmarked it and also added in your RSS feeds, so when I have time I will be back to read a lot more, Please do keep up the awesome b.

Applied Kinesiology January 26, 2016

Back 2 Back Chiropractic & Wellness Centeris located in Broward County, Florida behind Chase Bank in Cooper City Commons Plaza, 9469 Sheridan St. The following few lines will discuss about the chiropractor and this will definitely resolve your issue to find the best one for your needs. While treating for these problems, chiropractors offer lifestyle advice too.

The Hillary Clinton Email Explorer

Overview

EPT Counter

Wordcloud Generator

Sentiment Analysis

The Code

Get the emails

Cleaning the Data

Counts by keyword

Make Sentiment

Creating Visualizations

Debugging

Conclusion

About Authors

Jake Lehrhoff

John Montroy

Chris Neimeth

Related Articles

Leave a Comment

Cancel reply

View Posts by Categories

Our Recent Popular Posts

View Posts by Tags

NYC Data Science Academy

Get detailed curriculum information about our
amazing bootcamp!

Offerings

About

SOCIAL MEDIA

The Hillary Clinton Email Explorer

Overview

EPT Counter

Wordcloud Generator

Sentiment Analysis

The Code

Get the emails

Cleaning the Data

Counts by keyword

Make Sentiment

Creating Visualizations

Debugging

Conclusion

About Authors

Jake Lehrhoff

John Montroy

Chris Neimeth

Related Articles

Leave a Comment

Cancel reply

View Posts by Categories

Our Recent Popular Posts

View Posts by Tags

NYC Data Science Academy

Get detailed curriculum information about our amazing bootcamp!

Offerings

About

SOCIAL MEDIA

Get detailed curriculum information about our
amazing bootcamp!