Visualizing Sex & Love – 10 Infographics You Must See

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Dont think of me as a perverted spreadsheet user, I like visualizations in any form or shape. There is so much data even about human relationships like love and sex. This article shows 10 of the most visually beautiful and insightful of the infographics on sex and love.

Click on the titles above images to see the detailed site. The links are mostly safe for work, so enjoy the Friday 🙂

1. Charting the Dating Data – Dizzia’s Dates

sex-life-of-dizzia

What happens when you take all your dating data and plot it on a calendar by using icons for what happened during each relationship? Dizzia got curious and did just that. This is an awesome visualization with lot of wit and simplicity. You can quickly tell how long each relationship lasted and what they have done.

2. How does Love look like?

emotion-love-how-it-looks-and-feels

Ever wondered how the emotion Love actually looks? What happens when you try to plot love? Emotionally Vague has conducted surveys on people to find out the color, words, body parts associated with love and plotted this information in the above seen beautiful info-graphic. Very pretty and insightful.

3. Personal sex data goes web2.0 – Bed Posted

bed-post-sex-life-activity-monitor

Have you ever wondered how your sex life is progressing? Not in an emotional way, but in the way like tracking monthly budget? BedPosted promises to give you insights into your sex life. Whenever you log in just feed little data about your intimate activities to this site and leave it to come up visualizations like one seen above. Another fun way to look at your data.

4. What to say during sex – Flow chart of things to say

things-to-say-during-xxx-flowchart

This is a funny flow chart of things to say during xxx. Easy to understand and fun to read.

5. What do we search for – Love or Sex? – Google Search Insights

google-search-insights-love-vs-sex

I like the google search insights because they work like a dashboard by providing all critical info in one place. This one works the same way. Looks like the S word beats L word here. The google search insights shows us that when it comes to love western part of the world is searching more for it where as for sex, it is the eastern part which is searching more. Also, the S searches outnumber L searches thrice.

6. What are people loving right now – Twitter tweets on Love

twistori-love-tweets

Twistori is more like a social experiment, a window through which you see how humanity (the tweeting kind) is feeling. The above shows a snapshot of what people love. It is a simple text visualization that is pretty to watch.

7. What is the right size?

authentic-size-preferences-chart

The above is a very good example of partition chart in which spatial trends are meaningful. It shows preferences of several women plotted to reveal where the pleasure is. Okay, enough detail, I leave it to you to interpret.

8. [NSFW] Who does it most? – Durex sexual well being survey 2007

who-does-it-most-2008-durex-survey

[NSFW] Durex sexual well being survey is an annual affair in which they reveal trends across the globe. I believe it is part of their business continuity plans. The above shown is a map visualization of sexual frequency across globe. You can see who is busy.

9. [NSFW] Fleshmap – Touching Preferences

fleshmap-desire-sorting-nsfw

Fleshmap [NSFW], which is featured here earlier, is an incredibly cool way to plot intimate data. They have gathered data about touching, looking and listening and plotted it in several creative ways. The site is full of insights. But do not browse from work as some of the charts are pretty graphic.

10. [NSFW] Playboy Centerfold Images – How they have looked from 1960 to 1990

playboy-centerfolds-1960-1990

This is clever visualization and art work. Jason Salavon took centerfold images from all the playboy magazines between 1960 and 1990 and scanned these images. Then he normalized the data to create the above images. Even though it doesn’t mean anything on the outset, when you know how the image is generated you would marvel at the thought of it.

Bonus: Viagra sales cartoon

Viagra Sales - funny cartoon archive at funnytimes.com

This is as funny as graphs can get.

Like these visualizations? Why don’t you browse some of the coolest visualizations featured here earlier.

Have a great weekend 🙂

Via: FlowingData, Information Aesthetics, BuzzFeed

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12 Responses to “29 Excel Formula Tips for all Occasions [and proof that PHD readers truly rock]”

  1. Peder Schmedling says:

    Some great contributions here.
    Gotta love the Friday 13th formula 😀

  2. Aires says:

    Great tips from you all! Thanks a lot for sharing! bsamson, particularly you helped me on a terribly annoying task. 🙂

    (BTW, Chandoo, it's not exactly "Find if a range is normally distributed" what my suggestion does. It checks if two proportions are statistically different. I probably gave you a bad explanation on twitter, but it'd be probably better if you fix it here... 🙂 )

  3. John Franco says:

    Great compilation Chandoo

    For the "Clean your text before you lookup"
    =VLOOKUP(CLEAN(TRIM(E20)),F5:G18,2,0)

    I would like to share a method to convert a number-stored-as-text before you lookup:

    =VLOOKUP(E20+0,F5:G18,2,0)

  4. Chandoo says:

    @Peder, yeah, I loved that formula
    @Aires: Sorry, I misunderstood your formula. Corrected the heading now.
    @John.. that is a cool tip.

  5. Eric Lind says:

    Hey Chandoo,

    That p-value formula is really great for a statistics person like me.

    What a p-value essentially is, is the probability that the results obtained from a statistical test aren't valid. So for example, if my p value is .05, there's a 5% probability that my results are wrong.

    You can play with this if you install the Data Analysis Toolpak (which will perform some statistical tests for you AND provide the P Value.)

    Let's say for example I've got two weeks of data (separated into columns) with the number of hours worked per day. I want to find out if the total number of hours I worked in week two were really all the different than week one.

    Week1 Week2
    10 11
    12 9
    9 10
    7 8
    5 8

    Go to Data > Data Analysis > T-Test Assuming Unequal Variances > OK

    In the Variable 1 Box, select the range of data for week 1.
    In the Variable 2 Box, select the range of data for week 2.
    Check "Labels"
    In the Alpha box, select a value (in percentage terms) for how tolerant you are of error.

    .05 is the general standard; that is to say I am willing to accept a 95% level of confidence that my result is accuarate.

    Select a range output.

    Excel calculates a number of results: Average (mean) for each week's data, etc.

    You'll notice however that there are two P Values; one-tail and two-tail. (one tail tests are for > or .05), the number of hours I worked in week two is statistically equivalent to the number of hours I worked in week one.

    So here’s a way you might want to use this. You put up a new entry on your blog. You think it’s the best entry ever! So you pull your webstats for this week and compare it to last week. You gather data for each week on the length of time a visitor spends on your website. The question you’re trying to prove statistically is whether there’s an average increase in the amount of time spent on your website this week as compared to last week (as a result of your fancy new blog post). You can run the same statistical test I illustrated above to find out. Incidentally, it matters very little to the stat test whether the quantity of visitors differs or not.

    Anyhow, the Data Analysis toolpack doesn't perform a lot of stat tests that folks like me would like to have access to. In those cases I have to either use different software, or write some very complicated mathematical formulas. Having this p-value formula makes my life a LOT easier!

    Thanks!

    Eric~

  6. Balaji OS says:

    Fantastic stuf..One line explanation is cool.
    Thanks to all the contributors

    OS

  7. Locke says:

    Take FirstName, MI, LastName in access (you can fix it to work in excel) capitalize first letter of each and lowercase the rest and add ". " if MI exists then same for last name:
    Full Name: Format(Left([FirstName],1),">") & Format(Right([FirstName]),Len([FirstName])-1),"") & ". ","") & Format(Left([LastName],1),">") & Format(Right([LastName],Len([LastName])-1),"<")

    I teach excel, access, etc etc for a living and i have my access students build this formula one step at a time from the inside out to show how formulas can be made even if it looks complicated. Yes I know I could just do IsNull([MI]) and reverse the order in the Iif() function but the point here is to nest as many functions as possible one by one (also I illustrate how it will fail without the Not() as it is)

  8. Johan says:

    Extract the month from a date
    The easiest formula for this is =MONTH(a1)
    It will return a 1 for January, 2 for February etc.

  9. anjali says:

    if in a column we write the value of total person for eg. 10 if we spent 1.33 paise each person then how we get total amount in next column and the result will in round form plzzzzz solve my problem sir................... thank u

  10. Hui... says:

    @Anjali

    If the value 10 is in B2 and 1.33 paise is in C2 the formula in D2 could be =B2*C2

    If the values are a column of values you can copy the formula down by copy/paste or drag the small black handle at the bottom right corner of cell D2

  11. sajid says:

    kindly share with me new forumulas.

  12. Biswajit Baidya says:

    How to convert a figure like 870.70 into 870 but 871.70 into 880 using excel formula ? Please help.

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