Whew. I can relax.

For the past 2-3 months, I’ve been working on my first real Objective-C project (my iphone app is still going, it just took a back seat to this): An application that will read tcpdump output and animate the packets over time using their inherent byte / packet structure

And now…it’s up and in beta-ish quality. (Meaning it works, though some error checking and minor features arent quite where I want them.)

You can find it here: http://sintixerr.wordpress.com/pkviz-packet-visualizer-and-animator/

This project was important to me and has been a long time coming. I’ve wanted to write a packet visualizer since I first started working with data viz 5 or so years ago at NetSec and was using Advizor. That tool cost thousands of dollars per seat, didnt really animate (at least the way I needed), and only parsed CSV or databases. The free tools – like GnuPlot, just weren’t up to the task at all.

I also wanted something that could plot out data in interesting, pretty ways for some art projects I have in mind.

So, I originally started this time around on a quest to write a short python parser for tcpdump ascii hex output to put into <some generic viz tool> just to get started…but somehow I ended up writing a full-fledged visualizer (my first GUI project ever, I might add!). The learning process was a blast – I feel like I’m a much better coder for it – and I’ll be able to extend/expand on this to use for other art and security projects that are on my plate or are coming up.

I’m pretty excited about it. To see this finished through after years of whining to myself about it, procrastinating, and genuinely not having enough time, is pretty awesome. I’ve even already created a couple of cool shots that I’m happy to call “art” (granted, there is some photoshop processing here, but they’re both true to their originals!):

Anyway, Mac Users, check out the tool and let me know what you think!

Wondering:

Something tricky about/in Voronoi diagram.

Reply:

Not all algorithms have mathematical description – John Searle
Not all of mathematics have algorithmic description – ME

In life too:

Every recursive version has an equivalent (but possibly more or less complex) iterative version, and vice versa.

SOA and KARMA:

Karma is the service framework my mind creates when I do events associated/dissociated with my intuition.
How do I explain this in SOA terminology?

Evolution is incomplete without Karma Theory.
How am I going to explain this for non-human beings?

The reaction to my previous experience is called Karma.
Its the collection of all cause and effects that happened to me.

Religiousitivity:

I am my mind  = monism
I am not my mind = Dualism
I am neither me nor my mind = ?

Wisdomata:

If I can act with humility and wisdom ( always both together , not just one at a time) all the time, my life will be wonderful.
I will respect everybody. My respect for others go down as my self-respect goes down. There is no doubt about it.

Sometimes I am skeptical of things that are really worthwhile and accept things that I need avoid.
To know the difference between the two dynamically is what I call Wisdom..
But only with wisdom, ahangaara comes… I have to have humility coupled with wisdom.

Irritation is melting point of Wisdom and Humility.
Angry is the breaking point of  Wisdom and Humility.
Rage is the broken wisdom acting without Humilty’s support.

When the real problem is like an ocean, I was just terrified by seeing the superficial waves..!
Waves are just the indicators that there is an ocean behind it. When I am deeply into the issues, I dont see distracting waves..!
Ultimately I have to find out how to cross the ocean instead of counting and solving waves…
But how to do that in an effective/effecient way?

All thoughts are nothing but mind-graphs.. If “consciousness” is the edge of that graph, then what can be the node?

Any mind-graphs?

The price per square foot for condominium sales varies and can be skewed by a single project. For example, the bump in price per square foot shown in December 2008 (circled) was due to an investor who bought 9 condos at Vistas on the James in downtown Richmond. Overall, the current price per square foot for condo sales in Richmond is below 2006 levels.

when it penetrates right into your very core, you can’t use your fingers properly, your feet hurt to touch anything, it makes me cringe just thinking about it.

cold. freezing, sharp, burning cold.

hang-on, it’s happening right now! we’ve got no heating and i’m sat writing this, the cogs are turning slightly slower than normal, or maybe they’re heightened because of the biting shivers penetrating my extremities.

the above shot was taken on a very cold april weekend in the lake district. the mountains were topped with awesome swathes of thick snow. our tent had the patter of snowflakes caking it, snow falling heavily moments after we returned from helvellyn. what’s better than hot curry and tucking into the bag to listen to the outside world through thin nylon with your loved one?

i compiled this simple graph of various cold weather experiences i can remember without much thinking.

Darlings….

Don’t be scared by all these facts and figures. All you need to do is breathe and skim your eyes down the page.

I just want you to know…there are lots of people walking the same road as you…..

Divorce rate in the United States

• In 1998 2.2 million couples married and 1.1 million couples divorced.
• In 2000 58 million couples were married, yet separated.
• In 2000 there were over 21 million divorces.Divorce rate United States
• People between the ages of 25 to 39 make up 60% of all divorces.
• Over one million children are affected by divorce each year.
• Approximately 1/3 of divorced parents remain bitter and hostile several years after the divorce.Di Divorce rate United States vorce Statistics United States
• In 1990 the average female age for re-marriage after divorce was 30.6 years; for males, 33.7 years of age.Divorce rate United States
• In 1990 the average female age for a second divorce was 37.3 years; for males, 40.4 years of age.Divorce rate United States
• More people are part of second marriages today than first marriages.
• One-quarter of all Americans have experienced at least one divorce.

Divorce rate is generally calculated by comparing the number of divorces with the number of marriages in a given time period.

• In the United States in 1999 there were 8.4 marriages and 4.2 divorces per 1,000 total population. Divorce rate United States
• Thus it can be seen that in 1999 there was one divorce for every two marriages in the United States, a “crude” divorce rate of 50%. The Rutgers National Marriage Project (marriage.rutgers.edu) bases their review of divorce trends on the number of marriages per 1000 unmarried women 15 years of age or older, and the number of divorces per 1000 married women in the same age bracket. Divorce rate United States
• This look at divorce in relation to the population of marriageable age rather than the population as a whole produces a slightly lower divorce rate.Divorce rate United States
• However they note, “Overall, the chances remain very high?close to 50 percent?that a marriage started today will end in either divorce or permanent separation.”Divorce rate United States

Divorce rate no longer collected in America.

In 1970, 68 percent of adults lived as married couples. That percentage declined steadily to 56 percent today. Additionally, more than 1 million divorces have occurred annually since the late 1970s, and cohabitation accounted for more than four million couples in 1997 (Washington Times, 6/6/99). The epidemics of divorce, cohabitation and unwed childbearing must be addressed forthrightly.Divorce rate United States

However, combating these societal ailments with strong research will prove to be an immense challenge in the near future. Why? The U.S. government is no longer collecting comprehensive, detailed statistics on marriage and divorce.

Divorce rate data no collected.Divorce rate United States

The federal government has stopped collecting (Washington Times, 6/6/99):

• marriage and divorce rateDivorce rate United States
• trends in the age at marriage or divorceDivorce rate United States
• number of previous marriages Divorce rate United States
• number of children a couple had before divorce Divorce rate United States
• duration of marriage Divorce rate United States
• trends by race or education Divorce rate United States

• Since the introduction of “no-fault divorce” in Canada 30 years ago, the rate of marital break-up has soared 600%. Divorce rate Canada
• A third of marriages fail, and over a third of those break-ups involve children. Divorce rate Canada
• One-fifth of Canadian children have lost a parent to divorce, with an effect that some sociologists now say can be “worse than a parent’s death.” Divorce rate Canada
• Divorce is consistently associated with juvenile emotional disorders, crime, suicide, promiscuity and later marital break-up. Divorce rate Canada

• In 2002, the number of divorces granted in the UK increased by 1.9 per cent, from 157,000 in 2001 to 160,000. This is the highest number of divorces since 1997, but still 11 per cent less than the peak of 180,000 in 1993.Divorce rate in England

   

• In 1961 there were 27,000 divorces in Great Britain which had doubled by 1969 to 56,000. It then doubled again by 1972, to 125,000 in both Great Britain and the United Kingdom. This latter increase was partly a ‘one-off’ effect of the Divorce Reform Act 1969 in England and Wales, which came into effect in 1971.Divorce rate in England

   

• In England and Wales, 70 per cent of divorces in 2002 were to couples where both parties were in their first marriage. The corresponding proportion was 80 per cent in 1982. This downward trend largely reflects the fall in the number of first marriages. Divorce rate in England

   

• Over the last 10 years the average age at divorce in England and Wales has risen from 39 to 42 years for men and from 36 to 39 years for women, partly reflecting the rise in age at marriage.Divorce rate in England

   

• In 2002 the most frequent fact on which divorce was granted to a woman in England and Wales was the unreasonable behaviour of her husband, while for a man, it was separation for two years with consent.

   

• Demographic factors associated with an increased risk of subsequent divorce include marrying at a younger than average age, having a pre-marital birth, and having previously been divorced. Divorce rate in England

• There were 55,300 divorces granted in Australia in 2001, the highest number granted in the last 20 years. This was an increase of 5,400 on the number of divorces granted in 2000 and an increase of 13,900 on 1981.Divorce rate in Australia
• However, since 1981 divorce rate, while fluctuating, have shown an increasing trend. In 1987 the divorce rate was at a low of 11 divorces per 1,000 married population. Since 1987, divorce rate, while still fluctuating, have shown an upward trend to a high of 13 in 1996. The divorce rate in 2000 was 12.Divorce rate in Australia
• The crude divorce rate in Australia was 2.8 per 1,000 population in 2001. It was lower than the United States of America (4.2 per 1,000 in 1998) and the United Kingdom (2.9 in 1996) and higher than New Zealand (2.7 in 1998) and Canada (2.3 in 1997). Divorce rate in Australia
• The likelihood of a marriage ending in divorce is increasing. If the 1997-1999 rate for marriage, widowing, divorce, remarriage and mortality were applied to a newly-born group of babies 32% of their marriages would end in divorce. This is an increase on the proportion expected if 1985-1987 rate were applied (28%). Divorce rate in Australia
• In line with the increasing age at marriage the median age at divorce also rose. In 2001 the median age at divorce for men was 42 years (up from 36 years in 1981) and 39 years for women (up from 33 years in 1981).Divorce rate in Australia
• In 2001, 17% of couples had divorced within the first five years of marriage, while a further 26% had divorced in the following five-year period. The most common single interval between marriage and divorce was between five and six years (6%). In 2001 the median duration of marriage to divorce was 12 years, up from 10 years in 1981.Divorce rate in Australia
• For most of the 20th century there was a slow but steady rise in the divorce rate, increasing from annual averages of 0.1 divorces per 1,000 population between 1901 and 1910 to 0.8 per 1,000 between 1961 and 1970.Divorce rate in Australia
• However, the most important factor involved in the higher divorce rate in the latter quarter of the century was the introduction of the Family Law Act 1975 (Cwlth) which came into operation on 5 January 1976. This legislation allows only one ground for divorce: irretrievable breakdown of the marriage, measured as the separation of the spouses for at least one year. Divorce rate in Australia
• Following the implementation of this law, there was a large increase in the divorce rate in 1976.
• The rate then declined until 1979 as the backlog of applications was cleared.Divorce rate in Australia
• Since then the crude divorce rate has fluctuated between 2.4 and 2.9 divorces per 1,000 population . Divorce rate in Australia
• The crude divorce rate in 2001 was 2.8 per 1,000 population.Divorce rate in Australia
• The pattern of divorces per 1,000 married couples is very similar; in 2000 there were 12.0 divorces per 1,000 married men or women.Divorce rate in Australia

The sharp rise in the number of divorces in the early 1980s mainly reflects the legislative changes introduced in 1981. The Family Proceedings Act 1980, passed in 1981, meant that an application for marriage dissolution could be made by either the husband or wife on the grounds that the marriage had broken down irreconcilably, provided a two-year separation requirement was satisfied.Divorce rate in New Zealand

• Many couples who could satisfy the two-year separation requirement for the single ground of irreconcilable marriage breakdown sought the simpler Family Court dissolution. Divorce rate in New Zealand
• Consequently, divorces recorded a temporary high of 12,395 in 1982. Subsequently, both the number and rate of marriage dissolutions dropped, but the trend has been upward again since the late 1980s.Divorce rate in New Zealand
• In 2001, the Family Courts granted 9,683 marriage dissolution orders . 16 or 0.2 percent fewer than the number granted in 2000 (9,699). Divorce rate in New Zealand
• Data for the last seven years suggest the number of divorces have plateaued, with an average of around 9,800 divorces per year during 1995. 2001. Divorce rate in New Zealand
• The divorce rate (number of divorces per 1,000 estimated existing marriages), which rose sharply in the mid-1990s, also appears to be experiencing a respite from its upward trend. Divorce rate in New Zealand
• In 2001 the divorce rate stood at 12.2 per 1,000 existing marriages . the same as in 2000. During the late 1980s the rate averaged 11.8 per 1,000. It fluctuated around 12.0 during the early 1990s and around 12.5 per 1,000 during the late 1990s.Divorce rate in New Zealand
• A significant proportion of marriages in New Zealand last for a relatively short time (Figure 3.03).Divorce rate in New Zealand
• Divorces are most common among couples who had been married for between five and nine years. They accounted for one-quarter of all divorces in 2001.Divorce rate in New Zealand
• Almost two out of every five marriages dissolved in 2001 had lasted for less than 10 years. Divorce rate in New Zealand
• Annual Divorce rate, however, tend to exaggerate the incidence of marriage break-up. Divorce rate in New Zealand
• Analysis of Divorce rate by year of marriage shows that 70 percent of couples who married in 1975 were still together in 2001. For those married in 1967 and 1971, the corresponding figures were 74 and 71 percent respectively.Divorce rate in New Zealand
• For about two-thirds of couples, death, not divorce, will end their marriage.Divorce rate in New Zealand

Divorces Statistics By Duration of Marriage in New Zealand

Divorce rate : Age at divorce in New Zealand

The rise in age at divorce is continuing. This partly reflects the increased duration of marriage, and partly the marked trend towards later marriages, which started in the early 1970s. Divorce rate in New Zealand

• The median age at divorce in 2001 was 41.9 years for men and 39.3 years for women.Divorce rate in New Zealand
• Divorcees were, on average, three years older than those whose marriages dissolved a decade ago, in 1991. Divorce rate in New Zealand
• The median ages then were 39.0 years for males and 36.2 years for females.Divorce rate in New Zealand
• For women, divorce continues to be most common among those aged 25. 29 years, with 22.0 divorces per 1,000 existing marriages, compared to 20.5 per 1,000 for those aged 30. 34, and 19.6 for the 20. 24 year-olds. Divorce rate in New Zealand
• Among men, the most common age for divorce is 30. 34 years, although in 2001, men aged 25. 29 years had the same level of divorce as those aged 30. 34 years at 20.9 divorces per 1,000 existing marriages.
• Men aged 35. 39 years had the next highest divorce rate of 19.3 per 1,000.Divorce rate in New Zealand
• Half the marriages dissolved in 2001 had lasted about 13 years compared with the median duration of 12 years for marriages that ended in divorce in 1991. Divorce rate in New Zealand
• The upturn in the median duration of marriage may be partly attributed to the rising age at marriage and the breakdown of more long-term marriages, particularly those of more than 25 years.Divorce rate in New Zealand
• In 2001, 17.2 percent of all divorces were to people who had been married for 25 years or more, compared with 12.5 percent a decade earlier.

(from Statistics New Zealand)

…it should just be called falsifying data. The most interesting thing yet comes from Bishop Hill (I have looked at the code and it seems to be what he says it is. And yes, I’m qualified I am a professional programmer). Below is a borrowed graph that explains what they seem to have added to one of their temperature graphs :

Add this and you get ....?

For those of you who are wondering why I’m still ranting it is actually quite simple – it is now just a matter of time before the truth comes out, but media is refusing to touch this issue. Politicians will deny it for as long as they can. So if one, or two, or ten people read this and just try to check things out briefly – we get closer to actually getting some real climate science going. The kind of science that tries to figure out how things actually work, not pretend that they work according to a predefined theory.

DN SvD

We can say this: traffic flows along links that we click. For a few years—before google—we could even say this: a link is not a link until we click it.

But now that is wrong because google made links really something else—meaningful signals, not just infrastructure. Links have a deeply important role in pagerank, the backbone of google’s mighty search engine.

Thus the giver of a link tells google that the recipient of a link is notable or significant or worth your time and attention and consideration or engagement. This is authority—on average, at the very least.

Links are signals for authority. That authority is distributed throughout the network, and given Igon values, google built a magnificent business detecting, computing, and centralizing that authority.

* * *

We are not entitled to our own understanding of facts, which take root in the universe. Thus we call facts objective. But we are entitled to our own appreciations of authority. Indeed, appreciation for authority can only take root in ourselves as individuals and groups of individuals. Thus we call authority subjective.

There are very many facts that I will never need to learn or remember. I will rely on google to detect those answers. Like just-in-time inventory, I will have answers only when I need them, when I borrow them, avoiding the mental costs of carrying them in my jammed-up memory.

Likewise, there are very many authorities that I will never need to appreciate. I will rely on google to detect those signals. But unlike facts as stored in someone else’s inventory, something changes about authority when I don’t carry it with me. Something’s lost when I borrow authority—just in time.

Google delivers facts. And facts are facts. But google doesn’t really deliver authorities. It co-opts them.

Maybe this is why Clay Shirky calls it “algorithmic authority.”

So if I were settling a bar bet, I might well say, “Yes, you can trust me. I found that claim by clicking on the top google search return.” The page on which I found the claim doesn’t enter my justification. “Dude, I googled it” might not work for very many justifications today, but Shirky’s quite right that there’s “spectrum” and that “current forces seem set to push [algorithmic authority] further up the spectrum to an increasing number and variety of groups that regard these kinds of sources as authoritative.”

The authority belongs to the algorithm that found the source, not the source itself. Traffic flows along links out to the edges of the network, but authority pulls inward to the center.

* * *

And this is why it seems unfair for folks like Jeff Jarvis to make claims like, “The recipient of links is the party responsible for monetizing the audience they bring.”

News sites should certainly be trying to establish engagement and trust and authority with users who come from google. But insisting that this task is an imperative of the link economy seems to under-appreciate that algorithmic authority centralizes authority. Google pushes the traffic but keeps the trust—or much of it, anyhow.

Maybe the best answer to “What Would Google Do?” goes something like this: build an algorithm that detects and hordes an elusive and highly diffuse resource distributed across a network.

* * *

So Danny Sullivan can jump up and down and yell about WSJ and google and bing: “Do something. Anything. Please. Survive. But there’s one thing you shouldn’t do. Blame others for sending you visitors and not figuring out how to make money off of them.”

Sullivan can exhort newspapers to see google referrals as an opportunity. And they are. Moreover, I have little doubt that many newspapers should be optimizing their pages depending on the referrer, whether that’s google or facebook or twitter or stumbleupon or whatever. But let’s also remember that google changed links. A different kind of traffic now flows along them. And that traffic is fickler—and, yes, less valuable—than we might first imagine.

Condominium sales are similar to single family house sales as shown above. Condominium sales, like single family house sales, have decreased every year since 2006 but appear to be leveling off in the later part of 2009.

As shown above, the supply of houses varies greatly in Greater Richmond. The areas that are further out have the largest supply of houses while those that are closer in have lower inventories of houses. Area 20 (west end of the city) has the lowest supply of houses at 5.1 months- it is virtually a normal market. Goochland (Area 24) has the highest supply of houses at 18.3 months, followed by Powhatan (Area 66) at 14.6 months, Hanover (areas 36 and 44) at 13.6 and 11.2 months.  Richmond is following a nationwide trend—people are moving back into the cities and the areas that are further out are not doing as well as those areas closer to the downtown area.

Price per square foot varies by Area with Area 20 (West end of the city) having the highest price per square foot.

I do not feel as though I learned much about teaching math in my college course or even thus far in my internships. I was placed in a kindergarten classroom which was 95% literacy and for my last internship I was placed in a Reading and Writing classroom. So not a lot of practice with the teaching math.

However, I was smart enough to actually look glance through my books and find a few interesting ways to integrate math into my classroom – even if I teach majority Reading and Writing. I was also smart, if you want to call it that, enough to keep my books instead of sell them back. Again my intelligence on this is purely up to your opinion. But I will be able to look back at these books when I need help and I know that they are useful. Anyway, here is a picture of a couple ideas I found.

Using ”real-life” graphs to tell my students as well as organize the end of the day procedures of how everyone gets home. relating math to the classroom routine as well as everyday life. It’s pretty amazing I have to say.

APA Citation for the Picture:
Van De Walle, J. A., Karp, K. S., & Bay-Williams, J. M. (2007). Elementary and Middle School Mathematics: Teaching Developmentally (with MyEducationLab). NYC, NY: Allyn & Bacon.

Here’s one for everybody who’s on the road during the holidaze. Click on the graph for a super sized version:

Says it all doesn’t it. If anyone asked you few years down the line as to how bad was the recession … all you need to do is show them this. Wow. Click on the image to view the slideshow.

US Recession Graph

As the year comes to a close it is with great pride and pleasure that we present Idle Warship Starring Talib Kweli Live From Southpaw November 28th!

While keeping our ears to the streets and eyes on the prize we have assembled a stellar group of feature performers for this homecoming of sorts for Talib Kweli’s super group which features Res and Graph Nobel.

The winner of The Brooklyn Bodega’s Show and Prove Kalae AllDay, will be setting it off.
Megabone is ready to bring their unique brand of hip hop to the stage and Niles is ready to show you what all his buzz is about!

Soul Queen TreZure The Empress will continue her year of classic and memorable performances and rounding out what promises to be an epic evening of culture and performances will be Jah C & The Antidote and Rebel Starr!

The event will be hosted by End Of The Weak, The Music and Afterparty will be provided by Kool Kear of East Village Radio’s “Chances With Wolves”.

In addition, you can step into The Down South Lounge and see a beautiful art exhibit curated by Kimberly Messano and also catch Live Painting by Marthalicia Matarrita!

Shout outs to our prestigious sponsors: Southpaw, Brooklyn Bodega, Staple Design, Beyond Race Magazine, Flud Watches, East Village Radio, Fusicology & FatBeats!

This event is presented by End Of The Weak in conjunction with Royalty Media Group, Forever Fresh, Southern Thunder Promotions and Hustlemode!

For advanced tickets check out this link, they are selling fast!

http://www.ticketweb.com/t3/sale/SaleEventDetail?dispatch=loadSelectionData&eventId=510085

See you there!

Blink… Blink… This is what probably happens

Placements!!!

Hit hard where it matters!!!

Did we learn something out of DataComm ?

]]> http://richmondhousingtoday.wordpress.com/2009/11/20/average-sales-price-by-area/ Fri, 20 Nov 2009 14:29:25 +0000 lacywilliams http://richmondhousingtoday.wordpress.com/2009/11/20/average-sales-price-by-area/

Likewise, the average sales price varies considerably by Area with area 24 (Goochland) having the highest average sales price and area 50 having the lowest average sales price.

Who could say “No” to image-less graphs and charts? Follow these techniques to learn how.

Create Image – Webmonkey

Adding beautiful charts to your site does not have to require a hefty server-side process or a third party service. With CSS and a little ingenuity, you can have the lightweight, easy to create visualizations of your data.

Also called “average path length”, characteristic path length is the average length of the shortest paths between all nodes in a graph [1].  Using iGraph under R we can calculate this measure using the following code:

characteristic.path.length <- function(graph, ...) {
  n <- vcount(graph)
  sp <- (shortest.paths(graph, ...))
  sp <- sp[is.finite(sp)]
  if (length(sp)!=n*n) warning(paste("This graph is not connected;
  calculating average length of shortest paths between connected vertices.
  There were",n*n-length(sp),"unreachable pairs."))
  sum(sp)/(length(sp)-n)
}

I have tested this and it produces the same result as Pajek.  Note that unlike the definition in Lovejoy and Loch [1], for disconnected networks Pajek averages only the distances between connected pairs.

[1] William S. Lovejoy and Christoph H. Loch.  2003.  “Minimal and Maximal Characteristic Path Lengths in Connected Sociomatrices” in Social Networks 25.  Pages 333–347.

The Richmond market varies by real estate area. The real estate areas are shown in the map on slide 10. The graph shows the number of active listings by area. If you are selling in Area 54, there are 825 listings competing against your house.

First published in The Baptist Times, 19/11/09

Bite _ better informed takeaways & eateries

Bite is an award for food outlets that provide safe and healthy food for customers.

Un magnifique projet commandé par le gouvernement australien de la région du Queensland, au programme : graphisme, audio et vidéo. Le projet en lui-même peut paraitre séduisant, certes, mais je travaille pour Visual Obsession – Leader auto-proclamé en multimédia et reconnu officiellement d’une affligeante médiocrité. On pourrait croire que je leur crache dessus ? Oui, je leur crache dessus ; au visage même.

Sympathique identité graphique “Bite” réalisée par Marc-Antoine Russo.

 

Voyez plutôt :

Oh oh oh ! Qu’est-ce qu’on s’amuse à Visual Machin.

Et histoire de montrer que je ne fais pas que des conneries, je vous mets quand même la brochure dans son ensemble.

{Extérieur}

{Intérieur}

Vous imaginez bien qu’il y a un pliage particulier, rien de bien sorcier (juste faire en sorte que la trame en “+” soit complète sur l’un des volets de la brochure).

ps : j’ai une conscience professionnelle relativement poussée, simplement quand on me prend pour la dernière des merdes je ne me gêne pas pour me faire plaisir et m’amuser un peu. ^^