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A pattern made from graph paper, using the 6 colors of the rainbow in a continuous sequence to form a design.
fresque sur rideau au dessus des urgences #marnelavallee #lagnysurmarne #graphity #expo #hopital #streetart #art
The data in this graph, not unlike previous, is calculated using stopwatch, basic numerical calculation, and plotted using MS excel. Nagercoil-Mumbai was the first to arrive, running on-time, and again crossed 100 kmph, hauled by ED WDM3A.
Moments later, arrived Nagpur Duranto but did less than 100 kmph; soon
it was followed by Amravati express at 96.24 kmph. It is Interesting to
learn that NGP Duranto overhauls Amravati express from platform 5 at
Dadar thereby losing time. However, I am not sure if this is a common
practice now. DR-Egmore express was rather slow at 88.98
kmph despite the green aspect, mayhap the LP was cautious. Mahalaxmi
express crept at 62.46 kmph, rather not surprisingly, because the train
stops at Vidyavihar (VVH) outer daily to allow LTT-HWH/LTT-BSB trains to
cross and as a result (of running slow) obviates thronging of trains
between Kurla and Vidyavihar. Pune Mumbai intercity did 90.78 kmph,
rather slow despite all clear. Trains leaving LTT (LTT-HWH/LTT-BSB
express) are always made to wait for intercity to cross and if it is
late, it (the delay) causes massive pile up of trains on down fast
line,
as well as delaying trains on up fast line. I wonder why, in this
situation, Kurla RRI does not allow Mahalaxmi express to proceed ahead
of LTT-HWH/LTT-BSB? Gitanjali express did 95.5 kmph this time, as
compared with 78.78 kmph at Ghatkopar few days back, despite all clear.
Lathur express, hauled by Pune WDG-3A, did 90.78 kmph in spite of Karjat
bound EMU had just left Kurla. SC bound Devgiri express hit 93.42 kmph,
attached at the rear was an ICF WR Shatabdi coach, in all likelihood,
going for PoH. I was, for the first time, impressed at the speed of
Mandovi express at 96.06 kmph in spite of CST bound EMU had just left
Kurla and the aspect of the signal was still double yellow. Chalukya was
hauled by KYN WDG-3A, did passably well. Indryani express, hauled by
Pune WDM-2 and slightly delayed, did impressive 98.88 kmph. I am
somewhat tentative about the speed of Tapovan express. It had two
additional coaches attached at rear which I didn’t calculate but I think
it was over 95 kmph.
To conclude: - The speed of trains at Kurla Jn. is more than at
Ghatkopar in spite of the fact that the station is located on an ‘S’
shape curve. Ghatkopar, too, is on a curve but due to 65 PSR at VVH,
trains on down fast line starts accelerating there and have never been
spotted doing above 90 kmph. The fastest being Amravati at 81 kmph. However, up fast line is at MPS. Deep
From this site, a way of mapping cumulative artist listens on my www.last.fm/user/jonanamary account. Quite ugly colours but quite interesting for me as I am a nerdy spod.
My SoaD listening has plateaued recently, likewise Rammstein who were overtaken by Opeth a few months ago. I haven't listened to Hatebreed or DragonForce for ages, either - they're bands that I listened to intensively for a few months then lost all desire ever to hear again.
It's at the bottom of the chart where all the action is taking place, as newcomers like Anorexia Nervosa, Moonsorrow and Ensiferum are gaining steadily.
As ever, obligatory plug for Last.fm and the way in which it has opened my ears to so many new bands and broadened my tastes considerably, as this graph shows. Yay!
# A Gnuplot script, bw.plt
set terminal png size 1024,768 nocrop
# set terminal dumb
set output "bw.png"
# set output
set title "Ntop-reported bandwidths"
set xdata time
# set timefmt is for INPUT
# 1205349849
set timefmt "%s"
# 2008-03-12 15:06:56
# set timefmt "%Y-%m-%d %H:%M:%S"
# 2008-03-12
# set timefmt "%Y-%m-%d"
#
# set format x is for OUTPUT
set format x "%0d%b"
set ylabel "bits per second"
set xlabel "Date"
# Why is it 1:6? Note space within date. $2 is the time column
# () mean that missing values will break the line (there is no line here, but OK)
plot "new-bw.log" using 1:($6) with points title "scribe bandwidth"
So I have 20,000+ buddy icons sitting in a folder on my computer and I noticed that some of them are absurdly large. The record holder at the moment is over 1 megabyte for a 48x48 buddy icon.
Out of curiosity, I decided to graph the distribution of buddy icon sizes. The X axis is the number of bytes.
Because the internet makes things so global, Facebook reaches millions and so does twitter, brands who advertise on these sites will make their market larger, spreading their name.
sellhighpricedprograms.com/blog/the-1-percent-rule-to-ens...
The effects of the passing of Steve Jobs on a database connected to the Twitter streaming API and grabbing tweets about "apple"
The peak would have been considerably bigger if we were connected to more than the Spritzer hose (as the maximum number of tweets it will send out is only ~1% of public statuses and we peaked at around 51 tweets/second).
This graph shows that catch rates for largemouth bass (LMB) are at an high for Lake Istokpoga, and catch rates for black crappie (BLCR) are very good.
How to combine two graphs on Cacti
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