Testes de análise de dados com programação R do Google & respostas – Coursera

Weekly challenge 1

T1. A data analyst uses words and symbols to give instructions to a computer. What are the words and symbols known as?

Q2. What are the benefits of using a programming language for data analysis? Selecione tudo que se aplica.

3º T. A data analyst wants to use a programming language that allows to create packages and share them freely. What type of programming language should they use?

Q4. Fill in the blank: The benefits of using _____ for data analysis include the ability to quickly process lots of data and create high-quality visualizations.

Q5. A data analyst is searching for a single tool that will allow them to query massive amounts of data, reproduce their analysis, and create word-class visuals. Which one of the following tools is the best option for them?

Q6. Which of the following statements about RStudio’s integrated development environment are correct? Selecione tudo que se aplica.

Q7. A data analyst writes the code summary(pinguins) in order to display a summary of the penguins dataset. Where in RStudio can the analyst execute the code? Selecione tudo que se aplica.

Q8. In RStudio, where can you find a list of all of the R commands you have run in your current sessions?

T1. A data analyst is assigning a variable to a value in their company’s sales dataset for 2020. Which variable name uses the correct syntax?

Q2. A data analyst wants to store a sequence of data elements that all have the same data type in a single variable. What R concept allows them to do this?

3º T. A data analyst finds the code mdy(10211020) in an R script. What is the year of the date that is created?

Q4. A data analyst wants to combine values using mathematical operations. What type of operator would they use to do this?

Q5. Which of the following is a best practice when naming functions in R?

Q6. R packages include sample datasets. They also include reusable R functions and documentation about how to use the functions.

Q7. What is the relationship between RStudio and CRAN?

Q8. When programming in R, what is a pipe used as an alternative for?

T1. What is an advantage of using data frames instead of tibbles?

Q2. A data analyst is checking a script for one of their peers. They want to learn more about a specific data frame. What function(s) will allow them to see a subset of data values in the data frame? Sekect all that apply.

3º T. You are working with the ToothGrowth dataset. You want to use the glimpse() function to get a quick summary of the dataset. Write the code chunk that will give you this summary.

How many different data types are used for the column data types?

Q4. You have a data frame named employees with a column named Last_NAME. What will the name of the employees column be in the results of the function rename_with(funcionários, tolower)?

Q5. A data analyst is working with the penguins dataset in R. What code chunk will allow them to sort the penguins data by the variable bill_length_mm?

Q6. You are working with the penguins dataset. You want to use the summarize() and mean() functions to find the mean value for the variable bill_mass_g. Neste ponto, the following code has already been written in your script:

What is the mean body mass in g for the Adelie species?

Q7. A data analyst is working with a data frame called zoo_records. They want to create a new column named is_large_animal that signifies if an animal has a weight of more than 199 quilogramas. What code chunk lets the analyst create the is_large_animal column?

Q8. A data analyst is working with a data frame named weather. It has separate columns for temperatures (temp) and measurment units (unit). The analyst wants to combine into a single column called display_temp, with the temperature and unit separated by the string “Degrees”. What code chunk lets the analyst create the display_temp column?

Q9. A data analyst writes the following code chunk to return a statistical summary of their dataset: quartet %>% group_by(definir) %>% summarize(significar(X), sd(X), significar(e), sd(e), cor(X, e))

Q10. A data analyst wants to check the average difference between the actual and predicted values of a model. What single function can they use to calculate this statistic?

T1. Which of the following tasks can you complete with ggplot2 features? Selecione tudo que se aplica.

Q2. In ggplot2, what symbol do you use to add layers to your plot?

3º T. A data analyst creates a plot using the following code chunk: ggplot(data = penguins) + geom_jitter(mapping = aes(x = flipper_length_mm, y = body_mass_g)) Which of the following represents a function in the code chunk? Selecione tudo que se aplica.

Q4. Which code snippet will make all of the bars in the plot purple?

Q5. A data analyst is working with the penguins data. The analyst creates a scatterplot with the following code: ggplot(data=penguins)+geom_point(mapping=aes(x=flipper_length_mm, y=body_mass_g, alphar=species)) What does the alpha aesthetic do to the appereance of the points on the plot?

Q6. You are working with the penguins dataset. You create a scatterplot with the following code: ggplot(data = penguins) + geom_point(mapping = aes(x = flipper_length_mm, y = body_mass_g)) You want to highlight the different penguin species on your plot. Add a code chunk to the second line of code to map the aesthetic shape to the variable species.

Which penguin species does visualization display?

Q7. Which aesthetic of the geom_smooth function can be used to change the style of the line?

Q8. Which of the following statements best describes a facet in ggplot?

Q9. What argument of the label() function can a data analyst use to add text outside of the grid area of a plot?

Q10. Por padrão, what plot does the ggsve() function export?

T1. R Markdown is a file format for making dynamic documents with R. What are benefits of creating this kind of document? Selecione tudo que se aplica.

Q2. A data analyst wants to export their R Markdown notebook as a text document. What are the text document formats they can use to share their R Markdown notebook? Selecione tudo que se aplica.

3º T. A data analyst is reading through an R Markdown notebook and finds the text isto is important. What is the purpose of the underscore characters in this text?

Q4. You finish working with an R Markdown notebook and now you need to distribute your work. How can you export your analysis as a styled report?

Q5. A data analyst comes across <www.cooursera.com> in a piece of markdown text. What effect do the angle brackets (<>) have on their inner text?

Q6. A data analyst is working in a .rmd file and comes across the text ”'{r nalysis}. What is purpose of the text “análise”?

Q7. What does the ”'{r} delimetr (three backticks followed by an r contained inside curly brackets) indicate in an R Markdown notebook?

Q8. Fill in the blank: If an analyst creates the same kind of document over and over or customizes the appereance of a final report, they can use ______ to save them time.

Course challenge

T1. Your supervisor asks you to write a short summary of the benefits of using R for the project. Which of the following benefits would you include in your summary? Selecione tudo que se aplica.

Q2. You use the read_csv() function to import the data from the .csv file. Assume that the name of the data frame is flavors_df and the .csv file is in the working directory. What code chunk lets you create the data frame?

3º T. Assume the name of your data frame is flavors_df. What code chunk lets you review the column names in the data frame?

Q4. Assume the first part of your code chunk is: flavors_df %>% What code chunk do you add to change the column name?

Q5. Assume the first part of your code is: trimmed_flavors_df <- flavors_df %>% Add the code chunk that lets you select the three variables.

Q6. Próximo, you select the basic statistics that can help your team better understand the ratings system in your data. Assume the first part of your code is: trimmed_flavors_df %>% You want to use the summarize() and sd() functions to find the standard deviation of the rating for your data. Add the code chunk that lets you find the standard deviation for the variable Rating.

Q7. Assume the first part of your code is: best_trimmed_flavors_df <- trimmed_flavors_df %>% You want to apply the filter() function to the variables Cocoa.Percent and Rating. Add the code chunk that lets you filter the data frame for chocolate bars that contain at least 75% cocoa and have a rating of at least 3.9 pontos.

Q8. Assume your first line of code is: ggplot(data = best_trimmed_flavors_df) + You want to use the geom_bar() function to create a bar chart. Add the code chunk that lets you create a bar chart with the variable Rating on the x-axis.

Q9. Assume that you are working with the following code: ggplot(data = best_trimmed_flavors_df) + geom_bar(mapping = aes(x = Company.Location)) Add a code chunk to the second line of code to map the aesthetic fill to the variable Rating.

Q10. Assume your teammate shares the following code chunk: ggplot(data = best_trimmed_flavors_df) + geom_bar(mapping = aes(x = Cocoa.Percent)) + What code chunk do you add to the third line to create wrap around facets of the variable Cocoa.Percent?

Q11. Assume the first part of your code chunk is: ggplot(data = trimmed_flavors_df) + geom_point(mapping = aes(x = Cocoa.Percent, y = Rating)) + What code chunk do you add to the third line to add the title Recommended Bars to your plot?

Q12. Assume your first two lines of code are: ggplot(data = trimmed_flavors_df) + geom_point(mapping = aes(x = Cocoa.Percent, y = Rating)) + What code chunk do you add to the third line to save your plot as a jpeg file with chocolate as the file name?

Q12. You decide to create an R Markdown notebook to document your work. What are your reasons for choosing an R Markdown notebook? Selecione tudo que se aplica.