Write an essay about a torism

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Step-by-step explanation:

Tourism is a major economic activity that has developed significantly over the years. It’s an activity that can be recognized in both developed and developing nations. In general terms, tourism is the movement of a person from one place to another to visit and mesmerize the beauty of that place or to have fun. Moreover, the concept of traveling is considered a luxury and only people with higher income can afford this luxury.

The Growth of Tourism

Earlier our ancestors used to travel by sea routes as it was a convenient and most affordable medium but it was time taking. Due to, technological advancement we can now easily travel to any place without wasting time we can travel thousands of miles within a few hours. Technological advancement has shrunk the earth into a global village. Besides, the modern modes are much safer than the modes that our predecessors used.

Effect of Tourism on a Country

For any country, tourism generates a lot of money especially a country like India. Due to the Taj Mahal (one of the seven wonders of the world) every year the government raise a huge sum of revenue. Also, because of tourism other industries also bloom. Such industries include transportation, wildlife, arts and entertainment, accommodation, etc.

Moreover, this ultimately leads to the creation of job and other opportunities in the area. But there are some drawbacks too which can affect the lifestyle and cultural value of the country.

Importance of Tourism

Traveling is a tiring and difficult thing and not everyone is able to travel. But at the same time, it’s a fun activity that takes your tiredness away. Travelling adds flavor to life as you travel to different places that have a different culture and lifestyle. Also, it’s an easy way to learn about the culture and tradition of a place. Besides, for many areas, tourism is their main source of income.

India- A Tourist Attraction

The Taj Mahal is not the only destination in India that attract tourist. Likewise, there are hundreds of tourist destination that is spread over the Indian plateau. India has a large variety of Flora and Fauna. Besides, the equator divides the geographical land of India into almost two equal halves that make India a country where six seasons occurs.

Moreover, in almost every city of India, there is a historical monument made by the rulers in their time period.

Benefits of Tourism

Tourism not only benefits the government but also the people that live in the local area. It also creates a business as well as employment opportunities for the local people which ultimately help the government to earn income.

Benefits Due to Tourism

As we know that tourism contributes a lot to the revenue of the country. Also, the government uses this income for the growth and development of the country.

Likewise, they construct dams, wildlife sanctuaries, national parks, Dharamshala and many more.

In conclusion, we can say that tourism is a very productive activity both for the tourist and the government. As they support each other simultaneously. Also, the government should consider improving the conditions of the country as more and more number of tourist visit their country.

Above all, tourism is one of the fastest-growing industry in the world that has changed the scenario of the world.

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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: