the dobson leave London Heathrow at 11:30 a. m. to fly to Vancouver. the flight takes 9 hours. the time in Vancouver is 8 hours behind the time in London. write a formula, in words, linking the time in London with the time in Vancouver

was making it through the muffling bag. I kept talking. "Listen—this is some kind of misunderstanding. We've got to get my friend to a hospital—" Someone went upside my head again. It felt like they used a baton or something—it was harder than anyone had ever hit me in the head before. My eyes swam and watered and I literally couldn't breathe through the pain. A moment later, I caught my breath, but I didn't say anything. I'd learned my lesson. In three to five sentences, explain Marcus' current stage of identity development. Use examples from the text. As a reminder, the different stages of identity development

ad this excerpt from Little Brother and answer the following questions in complete sentences using proper grammar and punctuation: Marcus manages to flag down a vehicle and they get more than they bargained for... It was a military-looking Jeep, like an armored Hummer, only it didn't have any military insignia on it. The car skidded to a stop just in front of me, and I jumped back and lost my balance and ended up on the road. I felt the doors open near me, and then saw a confusion of booted feet moving close by. I looked up and saw a bunch of military-looking guys in coveralls, holding big, bulky rifles and wearing hooded gas masks with tinted face-plates. I barely had time to register them before those rifles were pointed at me. I'd never looked down the barrel of a gun before, but everything you've heard about the experience is true. You freeze where you are, time stops, and your heart thunders in your ears. I opened my mouth, then shut it, then, very slowly, I held my hands up in front of me. The faceless, eyeless armed man above me kept his gun very level. I didn't even breathe. Van was screaming something and Jolu was shouting and I looked at them for a second and that was when someone put a coarse sack over my head and cinched it tight around my windpipe, so quick and so fiercely I barely had time to gasp before it was locked on me. I was pushed roughly but dispassionately onto my stomach and something went twice around my wrists and then tightened up as well, feeling like baling wire and biting cruelly. I cried out and my own voice was muffled by the hood. I was in total darkness now and I strained my ears to hear what was going on with my friends. I heard them shouting through the muffling canvas of the bag, and then I was being impersonally hauled to my feet by my wrists, my arms wrenched up behind my back, my shoulders screaming. I stumbled some, then a hand pushed my head down and I was inside the Hummer. More bodies were roughly shoved in beside me. "Guys?" I shouted, and earned a hard thump on my head for my trouble. I heard Jolu respond, then felt the thump he was dealt, too. My head rang like a gong. "Hey," I said to the soldiers. "Hey, listen! We're just high school students. I wanted to flag you down because my friend was bleeding. Someone stabbed him." I had no idea how much of this was making it through the muffling bag. I kept talking. "Listen—this is some kind of misunderstanding. We've got to get my friend to a hospital—" Someone went upside my head again. It felt like they used a baton or something—it was harder than anyone had ever hit me in the head before. My eyes swam and watered and I literally couldn't breathe through the pain. A moment later, I caught my breath, but I didn't say anything. I'd learned my lesson. In three to five sentences, explain Marcus' current stage of identity development. Use examples from the text. As a reminder, the different stages of identity development AI

Trisha is with us along with her recitation, let us listen to her.Marks 9.5/10

Step-by-step explanation:

a significant challenge in working with any kind of data is how to present this data to answer questions of interest to human observers. this challenge is especially critical for big data streams because of the volume, variety, or velocity of the data involved. data of large volume has the potential to overwhelm an observers ability to extract meaning from the data. how should the voting data for every us citizen be portrayed to be of interest to political scientists? how should all of the genome data for a species be represented to answer interesting biological questions? how can all of the works of romantic poets be presented for literary analysis? data of highly diverse variety is a challenge because the data forms of data might best be conveyed by different means. integrating different representations in a meaningful way is difficult. for example health-related information contains family history, genomic data, medical test results, descriptions of exercise patterns, records of diet and nutrition, list of stress factors. how can all of this health-related information even for a single individual be displayed for best use by doctors? data with high velocity is changing so rapidly that interesting or significant aspects of the data might be lost. for example, how can stock market data be depicted so that meaningful trends can be seen by a stock analyst? how can data on the movement of vehicles in an urban road system be exhibited so that traffic engineers can determine better ways to avoid traffic jams?

data visualization is often a useful way to present complex data. the adage that “a picture is worth a thousand words” reflects the power of the human visual system. presenting data in a visual form leverages the ability of our visual systems to us see patterns or to detect special cases of interest that are distinctive in some way. finding a good visualization is, of course, not always easy. the picture game “where’s waldo” shows how easy it is to create a visual representation that hides the feature of interest.

there are a rich variety of ways to visualize data in both two and three dimensions. for example, here is a gallerylinks to an external site. of visualization that can be produced by the tools we will be using. developing the knowledge and skills to build intricate and compelling visualizations is a study on its own. however, some basic forms of visualization are very useful for a number of “first step” explorations of big data. these basic forms are:

line graphs: showing how data changes over time (e.g. how the value of a stock changes over the trading days).

histograms: showing the distribution over a range (e.g., how many earthquakes are there in a month in each of the six units on the richter scale).

scatter plots: showing the relationship between two different factors (e.g., how the temperature and humidity for a given city are related),

bar charts: showing the comparative values in certain categories (e.g., display the average forecast temperature for new york, ny, blacksburg, va, and seattle,  

map plots: showing the distribution over geographic space (e.g., where on the globe have earthquakes in the last month occurred).

you can also think of visualizations that you see every day as other examples of how data is presented: weather maps, hurricane tracks, election maps.

we will be using matplotlib to illustrate visualization of data. matplotlib is widely used and offers the capability to generate many different kinds of visualization in python. we saw examples of its variety of visualization in the matplotlib gallery above. however, this utility comes at a price. matplotlib is complicated. fortunately, matplotlib is designed so that many common cases can be done with minimal or reasonable effort. in addition to matplotlib we will also look at a library for geographical plotting that is built on top of matplotlib.

step-by-step explanation:

step-by-step explanation: