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Information_Visualization_Week5_NEC_Solved Information_Visualization_Week5_NEC_Solved

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    Information_Visualization_Week5_NEC_Solved

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    August 2023
    2023/2024
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  • Using your own data, create three interactive visualizations using plotly.
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Information_Visualization_Week7_NEC_Solved Information_Visualization_Week7_NEC_Solved

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    Information_Visualization_Week7_NEC_Solved

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    August 2023
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  • In groups of up to three create a map to show the regions that a sales rep is responsible for. This will be for Canada or US. Please make sure each rep’s zone is distinct from each other. All states and territories should be labeled with its abbreviation. Every state should have one rep, Kentucky has two. The map should have a title and legend. This map should look professional in appearance and easy to understand. Use the file attached to zone on your map.
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Information_Visualization_Week6_NEC_Solved Information_Visualization_Week6_NEC_Solved

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    Information_Visualization_Week6_NEC_Solved

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    5
    August 2023
    2023/2024
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  • Create your own Gapminder animated gapminder plot using the attached tutorial. Submit an R Markdown file with all your code and your visualization. Comment your code line by line explaining what each function and each function parameter is for. Information_Visualization_Week7_NEC_Solved
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Information_Visualization_Week5_NEC_Solved Information_Visualization_Week5_NEC_Solved

  • Exam (elaborations)

    Information_Visualization_Week5_NEC_Solved

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    9
    August 2023
    2023/2024
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  • Experiment with the gapminder data to practice some of the new geoms we have learned. Try examining population or life expectancy over time using a series of boxplots. (Hint: you may need to use the group aesthetic in the aes() call.) Can you facet this boxplot by continent? Is anything different if you create a tibble from gapminder that explicitly groups the data by year and continent first, and then create your plots with that? Comment your code line by line. Explain what your charts are show...
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Information_Visualization_Week4_NEC_Solved Information_Visualization_Week4_NEC_Solved

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    Information_Visualization_Week4_NEC_Solved

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    8
    August 2023
    2023/2024
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  • Participate in Andy Kriebel’s Makeover Monday Project ( Andy Kriebel’s makeover Monday dataset is published every Sunday. Use any Sunday dataset and create a makeover of the chart using the provided data. Explain the difference in your plot. Comment your code line by line and explain what the charts are showing. Submit an R Markdown.
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Information_Visualization_Week3_NEC_Solved Information_Visualization_Week3_NEC_Solved

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    Information_Visualization_Week3_NEC_Solved

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    9
    August 2023
    2023/2024
    A+
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  • Create a scatter plot of gdp v life expectancy for five countries over a period of years. Show each country in a different color. Add a trend line. Comment your code line by line. Explain in a paragraph of at least five sentences what the chart is showing. Submit an R Markdown file with interpretations of each chart. Do not copy. Your work should be your own Your writing should be in your own words.
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Information_Visualization_Week2_NEC_Solved Information_Visualization_Week2_NEC_Solved

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    Information_Visualization_Week2_NEC_Solved

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    6
    August 2023
    2023/2024
    A+
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  • Create Anscombe's quartet of visualizations. Comment your code line by line. Explain the significance of the Quartet. Why do we include it in our studies? Submit an R Markdown file that includes an interpretation of every visualization you provide.
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Visual_Analytics_Week4_NEC_Solved Visual_Analytics_Week4_NEC_Solved

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    Visual_Analytics_Week4_NEC_Solved

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    19
    April 2023
    2022/2023
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  • Show meta data from the mpg dataframe using summary(). Show metadata from the gapminder dataframe assign ggplot(data = gapminder, mapping = aes(x = gdpPercap, y = lifeExp) to the variable 'p' find the structure of the p object. add () to the p object. Show p. replace () with h(). Show p. return to and add h(). Show p. add the linear element to the h function. Show p. change the x axis scare to log10. Show p. try scale_y_log10(). Show p. change the method to gam from lm. Show p. re...
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Information_Visualization_Week1_NEC_Solved Information_Visualization_Week1_NEC_Solved

  • Exam (elaborations)

    Information_Visualization_Week1_NEC_Solved

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    2
    August 2023
    2023/2024
    A+
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  • Install R and R studio and all the packages Healy requires. Add the package 'socviz' to the list provided and you can skip installing from githum. Explore R Studio. Highlight the different windows and tabs. Take screenshots of your work. Submit a Word document with those screenshots in it and explain each one.
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Newest Data Visualization summaries

Information_Visualization_Week7_NEC_Solved Information_Visualization_Week7_NEC_Solved

  • Exam (elaborations)

    Information_Visualization_Week7_NEC_Solved

  • Available in bundle
    -
    -
    1
    2
    August 2023
    2023/2024
    A+
    Available in bundle
  • In groups of up to three create a map to show the regions that a sales rep is responsible for. This will be for Canada or US. Please make sure each rep’s zone is distinct from each other. All states and territories should be labeled with its abbreviation. Every state should have one rep, Kentucky has two. The map should have a title and legend. This map should look professional in appearance and easy to understand. Use the file attached to zone on your map.
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    datascience24
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Information_Visualization_Week5_NEC_Solved Information_Visualization_Week5_NEC_Solved

  • Exam (elaborations)

    Information_Visualization_Week5_NEC_Solved

  • Available in bundle
    -
    -
    1
    3
    August 2023
    2023/2024
    A+
    Available in bundle
  • Using your own data, create three interactive visualizations using plotly.
  • New
    datascience24
    $10.49 More Info
Information_Visualization_Week5_NEC_Solved Information_Visualization_Week5_NEC_Solved

  • Exam (elaborations)

    Information_Visualization_Week5_NEC_Solved

  • Available in bundle
    -
    -
    -
    9
    August 2023
    2023/2024
    A+
    Available in bundle
  • Experiment with the gapminder data to practice some of the new geoms we have learned. Try examining population or life expectancy over time using a series of boxplots. (Hint: you may need to use the group aesthetic in the aes() call.) Can you facet this boxplot by continent? Is anything different if you create a tibble from gapminder that explicitly groups the data by year and continent first, and then create your plots with that? Comment your code line by line. Explain what your charts are show...
  • New
    datascience24
    $10.49 More Info
Information_Visualization_Week3_NEC_Solved Information_Visualization_Week3_NEC_Solved

  • Exam (elaborations)

    Information_Visualization_Week3_NEC_Solved

  • Available in bundle
    -
    -
    -
    9
    August 2023
    2023/2024
    A+
    Available in bundle
  • Create a scatter plot of gdp v life expectancy for five countries over a period of years. Show each country in a different color. Add a trend line. Comment your code line by line. Explain in a paragraph of at least five sentences what the chart is showing. Submit an R Markdown file with interpretations of each chart. Do not copy. Your work should be your own Your writing should be in your own words.
  • New
    datascience24
    $10.49 More Info
Information_Visualization_Week4_NEC_Solved Information_Visualization_Week4_NEC_Solved

  • Exam (elaborations)

    Information_Visualization_Week4_NEC_Solved

  • Available in bundle
    -
    -
    -
    8
    August 2023
    2023/2024
    A+
    Available in bundle
  • Participate in Andy Kriebel’s Makeover Monday Project ( Andy Kriebel’s makeover Monday dataset is published every Sunday. Use any Sunday dataset and create a makeover of the chart using the provided data. Explain the difference in your plot. Comment your code line by line and explain what the charts are showing. Submit an R Markdown.
  • New
    datascience24
    $10.49 More Info
Information_Visualization_Week2_NEC_Solved Information_Visualization_Week2_NEC_Solved

  • Exam (elaborations)

    Information_Visualization_Week2_NEC_Solved

  • Available in bundle
    -
    -
    -
    6
    August 2023
    2023/2024
    A+
    Available in bundle
  • Create Anscombe's quartet of visualizations. Comment your code line by line. Explain the significance of the Quartet. Why do we include it in our studies? Submit an R Markdown file that includes an interpretation of every visualization you provide.
  • New
    datascience24
    $10.49 More Info
Information_Visualization_Week6_NEC_Solved Information_Visualization_Week6_NEC_Solved

  • Exam (elaborations)

    Information_Visualization_Week6_NEC_Solved

  • Available in bundle
    -
    -
    -
    5
    August 2023
    2023/2024
    A+
    Available in bundle
  • Create your own Gapminder animated gapminder plot using the attached tutorial. Submit an R Markdown file with all your code and your visualization. Comment your code line by line explaining what each function and each function parameter is for. Information_Visualization_Week7_NEC_Solved
  • New
    datascience24
    $10.49 More Info
Information_Visualization_Week1_NEC_Solved Information_Visualization_Week1_NEC_Solved

  • Exam (elaborations)

    Information_Visualization_Week1_NEC_Solved

  • Available in bundle
    -
    -
    -
    2
    August 2023
    2023/2024
    A+
    Available in bundle
  • Install R and R studio and all the packages Healy requires. Add the package 'socviz' to the list provided and you can skip installing from githum. Explore R Studio. Highlight the different windows and tabs. Take screenshots of your work. Submit a Word document with those screenshots in it and explain each one.
  • New
    datascience24
    $10.49 More Info
Visual_Analytics_Week4_NEC_Solved Visual_Analytics_Week4_NEC_Solved

  • Exam (elaborations)

    Visual_Analytics_Week4_NEC_Solved

  • Available in bundle
    -
    -
    -
    19
    April 2023
    2022/2023
    A+
    Available in bundle
  • Show meta data from the mpg dataframe using summary(). Show metadata from the gapminder dataframe assign ggplot(data = gapminder, mapping = aes(x = gdpPercap, y = lifeExp) to the variable 'p' find the structure of the p object. add () to the p object. Show p. replace () with h(). Show p. return to and add h(). Show p. add the linear element to the h function. Show p. change the x axis scare to log10. Show p. try scale_y_log10(). Show p. change the method to gam from lm. Show p. re...
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    datascience24
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Visual_Analytics_NEC_All_Weeks_Solved_Week3_to_Week15_Solutions

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    Visual_Analytics_NEC_All_Weeks_Solved_Week3_to_Week15_Solutions

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  • Visual Analytics All weeks solved from week 3 to week 15. Read the week description and access the right document for that week. Report any errors found and they will be fixed accordingly. Don't share the document, instead share the link to this advertisement.
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