Chat with us, powered by LiveChat R has been known as one of the best analysis languages in the year 1993 (Rams, 2017). R has been used on a large scale to perform various statistical computations for data science. Using R, - Writingforyou

R has been known as one of the best analysis languages in the year 1993 (Rams, 2017). R has been used on a large scale to perform various statistical computations for data science. Using R,

Take the assignment from the previous week (previous assignment attached), add at least twice as much data to the sets.  Note how this impacted the results from the previous week.  Be sure to have a visualization to show the initial results and the new results.  Be sure to explain why the results are different or similar from last week. 

Just add data to the previous work, do not bring new problems. The data used was rides data. 

Assignment 1

R has been known as one of the best analysis languages in the year 1993 (Rams, 2017). R has been used on a large scale to perform various statistical computations for data science. Using R, we can create visualization and graphs which can support our analysis and yieldings for companies and customers. R has reduced manual interaction and boosted efficiency while performing tasks. This paper will include three principles of good design by solving a real-life situation and producing better results.

Dieter Rams have explained 10 principles of good design. For the problem statement I have, I am using three of the ten principles. Rides data collection is the problem that will be depicting the three good designs that are innovative, useful, and understandable (Rams, 2017). The first level is the software requirement which will be done using R. This software aims to determine the best Cab service based on analysis feedback and ratings. By doing this, firms in the market will also get aware of their possible competitors as nowadays services like Uber transportation are widely used all over the world. Moreover, it will also include an analysis of various attributes like the number of trips used daily and monthly. Various datasets are used to generate visualization from national delivery collection services for a particular country.

There are three datasets used in this software: Vectors, lists, and matrices. There are various functions in Vector. These principles have an understanding of the functions. The sort function is used in the first step. The vector datasets will store the number of rides from the lowest to highest as per the trips used every year, month, or day. The information in vectors where the top and bottom are distinguished, customers and taxi companies may both grasp the data offered by the analytics by using a sorted vector. Using a pie chart, the companies can easily understand the information represented (Towill, 1997).

Considering the demonstration data below, the process of a line chart can give visible clues of the software ability.

Taxi providers

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Curb

140

145

100

122

893

477

2342

Lyft

456

454

200

454

455

344

3454

didichuxing

205

203

208

201

254

235

2343

Grab

610

601

600

233

677

335

1233

Ola

120

122

122

232

501

554

1000

Uber

801

275

822

601

1000

1100

2343

Moreover, a list dataset needs the handling data more efficiently.

The second principle is used to show the names of the rides used in the services. The most recent ride is displayed in this feature. Any specific company can be picked as per the customer's need. On Monday, customers can have a different company than Friday. They can choose different companies every day. Using R, customers can see feedback and reviews left by the previous user. In the third principle using R, we can identify what ride services are better and highly rated. The merge function is used to separate positive feedback from negative.

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It will also distinguish between pricing as per the customer's needs. R programming is putting all the similar data together. It is useful to put similar data as it is easy to understand. It is comparable and help companies and customers. You can easily identify which ride is better and what is the location of the ride. During the pandemic, information like this can be helpful to get insights on use cases developed by government agencies for educating and research purposes. 

In Conclusion, The proposed problem of rides and solution is to overcome traveling challenges. Companies and customers can get analyzed information from matrices, vectors, and lists. The datasets satisfy the three principles: usefulness, understandability, and innovativeness. The third-party can also use this data to analyze human mobility. At last, the dataset includes various functions like merge, sort, mini, and max that plays an important role when it comes to data visualization. 

References

Rams, D. (2017). The power of good design: Dieter Rams’s ideology, engrained within Vitsœ. Vitsoe[online] Available: https://www. vitsoe. com/rw/about/good-design [Accessed 10 January 2019].

Towill, D. R. (1997). Forridge-Principles of good practice in material flow. Production Planning & Control, 8(7), 622-632.