PLEASE HELP MEEE PLEASE: read and answer When the Revolution began the Americans were already in a
weak position. They had scrambled to put together an army
(albeit not well-trained) and a tiny, ineffective navy. While
strengths were hard to find, their weaknesses were obvious.

Th e 1 3 Colo nies

First and foremost, the colonists lacked a stable government or
even a written constitution. The Articles of Confederation, the first
government of the United States, was not adopted until 1781, almost
five years into war. As a result the colonies were not well organized and
were often in disagreement on what decisions to make; the Continental
Congress debated often, but were very slow to take action even in
moments of dire need. General Washington often complained to
Congress on its inability to provide a regular fighting force. To make
matters worse, this inexperienced fighting force rarely had the
supplies needed to fight. Inadequate firearms, gunpowder, and
clothing plagued the army wherever it traveled. During the winter of
1777-78, Washington would comment on the pathetic state of his
Continental Army and their lack of shoes when he said his soldiers
could be tracked there by “following the blood in the snow.”
The American Revolution

While faced with a host of weaknesses, it was not all bad news for the colonists. One powerful
strength they possessed was the will and spirit of the American people. The desire to give their lives
to defend their homes, support a just cause, and thrust off the chains of oppression inspired a weak
fighting force to continue when things looked grim. Second, the colonists had George Washington,
arguably the greatest general in the entire war. Washington was a brilliant strategist, was popular
among his soldiers, and the knowledge he gained as a general in the British ranks would prove
essential in this war. Third, the colonists had the home-field advantage. They knew the hills, valleys,
and the overall lay of the land; this knowledge would favor them in a war. Finally, Washington's
admiration of young general Alexander Hamilton led to some very effective methods, such as using
spies throughout New York City when the British occupied the area.
The British Empire

When war began in 1776, Great Britain held a supreme advantage in a variety of areas. While it
fluctuated throughout the war, the British army was usually around four times the size of the
Continental army; this should be of no surprise, considering the colonists had little time to create an
organized fighting force. Second, the British army was a professional army, unlike the colonists who
had a citizens army (the British soldiers were trained to fight, whereas the Continental Army was
made up of farmers who were fighting “in their free time”). Too, the British maintained an
experienced navy, something the colonists could not match when the war began. Lastly, the wealthy
British empire had a seemingly endless supply of weapons and gear to ensure their soldiers were
well-fed, well-equipped, and well-prepared.
This is not to say that Great Britain was untouchable; they just faced a different set of problems than
the colonies. In the late-18th century, Great Britain’s claim in North America was just one of many
places in the world that required their attention. As a result, the British were pulled in many
directions at once. Second, the British often relied on outdated information since messages were slow
to relay from London. Third, Britain would fight over 3,000 miles from home -- it is very difficult to
keep the people at home interested in winning a war that they see no attachment with. Finally, even
though soldiers have been in the colonies since the French and Indian War, the colonists hold the
advantage since this is their home turf; it is very difficult to win a war when you are on enemy soil.

i don't even know man. edge inuity be messing with us. i had to ask a question too.

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:

a. 12.5 kg

step-by-step explanation:

f = ma

so

m = f/a = (2500 n)/(200 m/s²) = 12.5 kg

1 n = 1 kg·m/s²

jml angle lkj & angle mj = lm