Category: Data Analytics

  • tablue questionmust know how to use tablue

    The work is resolved i need help to make 2 simple adjustments-will share solution after matching

    1. dot map on the united states. and a heat map

    2. fix the variables in the text to show the tuition %

  • Data Analytics Question

    Assignment Eight

    Logistic Regression

    Explain what logistic regression analysis is. Chose a data set and perform a logistic regression analysis on relevant variables. Presentation must include logistic regression statistics.

    References

    Phil Crewson, Applied Statistics, a Desktop Statistics Reference

    Josh Starmer, StatQuest: Linear Models Pt. 1 – Linear Regression

    The Completed Assignment Could Be Like This.

    I. Discussion about logistic regression analysis

    a. What is logistic regression analysis?

    b. What is logistic regression used for in statistical analysis?

    II. Statistical analysis

    a. Identify a data set.

    Figure One

    logistic regression-01

    Data looks like this in the statistics program.

    b. Identify variables that you are analyzing with logistic regression analysis.

    c. Write a few sentences about why logistic regressions analysis of these
    variables might be of social science interest.

    d. report the output from the statistical program

    Figure Two

    logistic regression-02

    a logistic regression analysis

  • Data Analytics Question

    Assignment Seven

    Non-Parametric Statistics

    Discuss non-parametric statistics. Include a discussion of at least two non-parametric procedures. Use some sample data and analyze the data with non-parametric statistics. Present the results of your statistical analysis and explain the conclusions logistic regression allows about the data you have chosen to analyze.

    References

    Phil Crewson, Applied Statistics, a Desktop Statistics Reference

    Chi-Square Calculator –

    The Completed Assignment Could Be Like This.

    I. Discussion about Non-Parametric Statistics

    a. What information is presented in a non-parametric analysis?

    b. How do non-parametric statistics assist comprehending a

    phenomenon being studied?

    c. Non=parametric statistics are inferential statistics. How is this

    different than a descriptive statistic?

    d. What is the “p statistic” and what does the statistic prove?

    How are p statistics obtained with a non-parametric statistical

    procedure?

    e. mention specific non-parametric procedures such as chi square

    II. Statistical analysis

    a. identify a data set

    Figure One

    cross tabs data

    Data for ANOVA analysis looks like this in the statistics program.

    b. complete statistical procedure on the data

    c. report the output from the statistical program

    Figure Two

    chi square procedure

    a chi-square analysis

    d. Write a paragraph about the statistics program output.

    e. Discuss the implications of the “p statistic.

  • Data Analytics Question

    Assignment Six Analysis of Variance

    Analysis of variance is somewhat different than a t-test. Explain the difference. Choose a data set and some variables and conduct and ANOVA. Include in your presentation some data representations of you ANOVA analysis.

    References

    Phil Crewson, Applied Statistics, a Desktop Statistics Reference

    One-Way ANOVA [Analysis of Variance] simply explained

    ANOVA (Analysis of Variance) Analysis FULLY EXPLAINED!!!

    The Completed Assignment Could Be Like This.

    I. Discussion about ANOVA

    a. What information is presented in an ANOVA analysis

    b. How does ANOVA assist comprehending a phenomenon

    being studied?

    c. Since ANOVA is an inferential statistic, how is this different

    than a descriptive statistic?

    d. What is the “p statistic” and what does the statistic prove?

    II. Statistical analysis

    a. identify a data set

    Figure One

    cross tabs data

    Data for ANOVA analysis looks like this in the statistics program.

    b. complete statistical procedure on the data

    c. report the output from the statistical program

    Figure Two

    ANOVA analysis

    an ANOVA analysis

    d. Write a paragraph about the statistics program output.

    e. Discuss the implications of the “p statistic.”

  • Data Analytics Question

    Assignment Five Analysis of Categorical DataContingency Tables-Cross Tabs

    Discuss how categorical data is analyzed. Choose a data set and do a contingency analysis of some variables.

    Produce cross-tab tables and include these in your presentation.

    References

    Phil Crewson, Applied Statistics, a Desktop Statistics Reference

    Two-Way Tables in Statistics – Links to an external site.

    The Completed Assignment Could Be Like This.

    I. Discussion about contingency tables which are alternative named cross tabs tables

    a. What information is presented in a contingency table?

    b. How do contingency tables assist comprehending a phenomenon being studied?

    II. Statistical analysis

    a. identify a data set

    Figure One

    cross tabs data

    cross tabs data 2

    Data for cross tabs analysis looks like this in the statistics program.

    b. complete statistical procedure on the data

    c. report the output from the statistical program

    Figure Two

    a cross tabs table

    a contingency table alternatively called a cross tabs table

    d. write a paragraph about the statistics program output.

  • Data Analytics Question

    Assignment Four – Correlations and Regressions

    Correlations

    Explain what correlation analysis is. Chose a data set and perform a correlation analysis on relevant variables. Presentation must include correlation statistics and graphs.

    References

    Phil Crewson, Applied Statistics, a Desktop Statistics Reference

    Correlation Coefficient –

    Linear Regession – Links to an external site.

    The Completed Assignment Could Be Like This.

    I. Discussion about correlations

    a. What are correlations?

    b. What are correlations used for in statistical analysis?

    II. Statistical analysis

    a. Identify a data set.

    Figure One

    data in statistics program

    Data looks like this in the statistics program.

    b. Identify variables that you are going to correlate.

    c. Write a few sentences about why correlating these
    variables might be of social science interest.

    d. report the output from the statistical program

    Figure Two

    correlations output

    a correlational analysis of education and family income

    Figure Three

    assignment 4-correlations-01.jpg

    a graphical representation of a correlational analysis of education and family income

    Figure Four

    correlations graphic

    a second graphic representation of a correlational analysis education and family income

    Regressions

    Explain what regression analysis is. Chose a data set and perform a regression analysis on relevant variables. Presentation must include regression statistics and graphs.

    References

    Phil Crewson, Applied Statistics, a Desktop Statistics Reference

    Linear Regession – Links to an external site.

    The Completed Assignment Could Be Like This.

    I. Discussion about regressions

    a. What are regressions?

    b. What are regressions used for in statistical analysis?

    II. Statistical analysis

    a. Identify a data set.

    Figure One

    data in statistics program

    Data looks like this in the statistics program.

    b. Identify variables that you are analyze with regression analysis.

    c. Write a few sentences about why regressions analysis of these
    variables might be of social science interest.

    d. report the output from the statistical program

    Figure Two

    correlations output

    a regression analysis of education and family income

    Figure Three

    assignment 4-correlations-01.jpg

    a graphical representation of a regression analysis of education and family income

    Figure Four

    correlations graphic

    a second graphic representation of a regression analysis education and family income

  • Data Analytics Question

    Assignment Three

    T-tests

    Discuss what t-tests are. Explain the difference between one and
    two-tailed t-tests. Explain the usefulness of your t-test findings
    for statistical analysis. Download Applied Statistics from the link below as a reference.

    Chose a data set and perform a t-test analysis on the data set.

    Present the statistical analysis and include anything else you want from the data analysis output.

    References

    Phil Crewson, Applied Statistics, a Desktop Statistics Reference

    Normal Distribution

    Hypothesis Tests – t-Tests

    Difference between means and two sample t-test –

    Difference between paired means – t-test –

    T Distribution Calculator –

    The Completed Assignment Could Be Like This.

    I. Discussion about t-tests

    a. What are t-test used for?

    b. Why t-test are inferential not descriptive statistics?

    c. What is the difference between the various types of t-tests?

    II. Statistical analysis

    a. identify a data set

    Figure One

    data in statistics program

    Data looks like this in the statistics program.

    b. complete statistical procedure on the data

    c. report the output from the statistical program

    Figure Two

    t-test output

    two sample difference of the mean t-test

    Figure Three

    more t-test output

    paired sample t-test

  • 277 tableau final project

    This person is responsible for creating visuals in

    Tableau that are specific to their case. We will expect the visuals to be professional and
    more sophisticated than just basic bar graphs; the specifics of this are outlined in the
    Tableau trainings. This person should have completed and scored well on the 3 Tableau
    discussions and be interested in data visualization.

    This person is required to first watch the Group Project – Tableau Tutorial (Pts. 1
    and 2) that is included in the Data Visualization Specialist training section on D2L
    AND the Tableau Level-Up workshops (Pts 1 and 2) linked in the same folder.
    These can be completed while you wait for the Data Analyst to clean the data and
    share it with you.

    Make sure the Tableau is hyperlinked in the document as shown in the trainings (not just the URL)
    Either in the report, on the Tableau, or both, you need 2 things:

    o Explanation of what the visuals are and how to use them

    o Some example insights from the visuals

    Make sure to include the visuals asked for in the case!

    Some variety of types of visuals explored

    General professionalism: avoid typos, consistent font, pieces lined up, no overlapping pieces, text that
    fits (not ending in …), not a ton of white space, no generic titles, etc.

    Make sure to include some of the advanced features shown in the trainings: actions, buttons, sets,
    dynamic titles, filters that affect multiple visuals, visuals inside a tooltip, advanced formatting, etc.

    o You dont need all of these, but at least a few of them to get full pointsData Exploration using Tableau
    This section is unique and is primarily the responsibility of the Data Visualization Specialist.
    First, the data visualizations should be created using Tableau with input from the rest of the
    team and with special collaboration with the Data Analyst. Once you are happy with it, it
    should be posted to one of the group members Tableau Public profiles.

    o Note, based on the limited time constraints of the project, what is observed and
    found in the visual does NOT have to be the same as the Data Analyst. You can make
    two separate recommendations overall with one being from the visuals and the
    other being from the advanced regression model.

    o Make sure to review the best practices we have at the end of each Tableau
    discussion assignment.

    Once you have complete visualizations, please include a brief description with any key
    takeaways/insights within the report and then hyperlink to your final visual which only
    needs to be included on one members Tableau Public profile.

    The visuals should be relatively complex and utilize features and techniques discussed in the
    training(s). Basic bar graphs that dont include any extra functionality will not earn you
    many points.


    previous tableau examples:

    Requirements: 4 dashboards | .doc file

  • 277 tableau final project

    This person is responsible for creating visuals in

    Tableau that are specific to their case. We will expect the visuals to be professional and
    more sophisticated than just basic bar graphs; the specifics of this are outlined in the
    Tableau trainings. This person should have completed and scored well on the 3 Tableau
    discussions and be interested in data visualization.

    This person is required to first watch the Group Project – Tableau Tutorial (Pts. 1
    and 2) that is included in the Data Visualization Specialist training section on D2L
    AND the Tableau Level-Up workshops (Pts 1 and 2) linked in the same folder.
    These can be completed while you wait for the Data Analyst to clean the data and
    share it with you.

    Make sure the Tableau is hyperlinked in the document as shown in the trainings (not just the URL)
    Either in the report, on the Tableau, or both, you need 2 things:

    o Explanation of what the visuals are and how to use them

    o Some example insights from the visuals

    Make sure to include the visuals asked for in the case!

    Some variety of types of visuals explored

    General professionalism: avoid typos, consistent font, pieces lined up, no overlapping pieces, text that
    fits (not ending in …), not a ton of white space, no generic titles, etc.

    Make sure to include some of the advanced features shown in the trainings: actions, buttons, sets,
    dynamic titles, filters that affect multiple visuals, visuals inside a tooltip, advanced formatting, etc.

    o You dont need all of these, but at least a few of them to get full pointsData Exploration using Tableau
    This section is unique and is primarily the responsibility of the Data Visualization Specialist.
    First, the data visualizations should be created using Tableau with input from the rest of the
    team and with special collaboration with the Data Analyst. Once you are happy with it, it
    should be posted to one of the group members Tableau Public profiles.

    o Note, based on the limited time constraints of the project, what is observed and
    found in the visual does NOT have to be the same as the Data Analyst. You can make
    two separate recommendations overall with one being from the visuals and the
    other being from the advanced regression model.

    o Make sure to review the best practices we have at the end of each Tableau
    discussion assignment.

    Once you have complete visualizations, please include a brief description with any key
    takeaways/insights within the report and then hyperlink to your final visual which only
    needs to be included on one members Tableau Public profile.

    The visuals should be relatively complex and utilize features and techniques discussed in the
    training(s). Basic bar graphs that dont include any extra functionality will not earn you
    many points.


    previous tableau examples:

    Requirements: 4 dashboards | .doc file

  • tablue Question

    This person is responsible for creating visuals in

    Tableau that are specific to their case. We will expect the visuals to be professional and
    more sophisticated than just basic bar graphs; the specifics of this are outlined in the
    Tableau trainings. This person should have completed and scored well on the 3 Tableau
    discussions and be interested in data visualization.

    This person is required to first watch the Group Project – Tableau Tutorial (Pts. 1
    and 2) that is included in the Data Visualization Specialist training section on D2L
    AND the Tableau Level-Up workshops (Pts 1 and 2) linked in the same folder.
    These can be completed while you wait for the Data Analyst to clean the data and
    share it with you.

    Make sure the Tableau is hyperlinked in the document as shown in the trainings (not just the URL)
    Either in the report, on the Tableau, or both, you need 2 things:

    o Explanation of what the visuals are and how to use them

    o Some example insights from the visuals

    Make sure to include the visuals asked for in the case!

    Some variety of types of visuals explored

    General professionalism: avoid typos, consistent font, pieces lined up, no overlapping pieces, text that
    fits (not ending in …), not a ton of white space, no generic titles, etc.

    Make sure to include some of the advanced features shown in the trainings: actions, buttons, sets,
    dynamic titles, filters that affect multiple visuals, visuals inside a tooltip, advanced formatting, etc.

    o You dont need all of these, but at least a few of them to get full pointsData Exploration using Tableau
    This section is unique and is primarily the responsibility of the Data Visualization Specialist.
    First, the data visualizations should be created using Tableau with input from the rest of the
    team and with special collaboration with the Data Analyst. Once you are happy with it, it
    should be posted to one of the group members Tableau Public profiles.

    o Note, based on the limited time constraints of the project, what is observed and
    found in the visual does NOT have to be the same as the Data Analyst. You can make
    two separate recommendations overall with one being from the visuals and the
    other being from the advanced regression model.

    o Make sure to review the best practices we have at the end of each Tableau
    discussion assignment.

    Once you have complete visualizations, please include a brief description with any key
    takeaways/insights within the report and then hyperlink to your final visual which only
    needs to be included on one members Tableau Public profile.

    The visuals should be relatively complex and utilize features and techniques discussed in the
    training(s). Basic bar graphs that dont include any extra functionality will not earn you
    many points.


    previous tableau examples:

    Requirements: 4 dashboards | .doc file