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Tag Archives: Dataset
Data Literacy report. 2022 Best
This assignment involves writing a data literacy report. In the report, please discuss about the data you collected, where does it come from, what features do you want to use for analysis, why those features are relevant to your question.
Data Literacy report.
Data Literacy report. Please see below for detailed requirements: Each student needs to identify an analytical question, collect data, process and analyze data, and interpret the results. The report should include the following aspects: Problem statement Please identify a topic/problem you are interested in. In the report, please discuss the background information of the topic, what it is, why it is important, and what motivates you to study the topic. Data sources and collection Please collect the relevant data online.
Data Literacy report.
Google data search can be used. In the report, please discuss about the data you collected, where does it come from, what features do you want to use for analysis, why those features are relevant to your question. Data analysis and visualization. Explain how you analyze the data – which statistics you used and why it may help you get information. Pick the proper charts to visualize your data. The charts should be relevant to your topic. Discuss the type of charts you choose, how you make it and why it is useful. https://youtu.be/yhO_t-c3yJY
Data Literacy report.
Using dashboard to summarize the result and interpretation. Make a Google Data Studio project (one or multiple pages) to display the numbers/charts you used for analysis. Make a clear story line to link your analytical results to your topic. Discuss about the information delivered by each number/chart. Conclusion Conclude your findings by answering the question: what did you get from the dataset after analyzing it.
Data Literacy report.
Reference Please feel free to send me your topic and dataset if you are not sure whether it is good for analysis. Submission Guildeline: The paper should be 5-8 pages long (excluding title page, table of contents, reference and your Google Data Studio dashboard), 1.5 spacing, font size 12pt, with at least 5 references. You can submit your Google Data Studio as a separate file and do not need to put it in the report.
Data Literacy report.
The deadline is Dec 21. Late submission will not be accepted. This is an individual project. You can overwrite your submission before the deadline but only the last submission will be graded. The submission must be orignal work from the student. Work from other students or existing online work will not be graded.
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Data visualization techniques 2022 Best
Communication researchers and other social scientists make extensive use of data visualization techniques throughout the research cycle:
Data visualization techniques
EXERCISE 4 – VISUALIZING DATA Communication researchers and other social scientists make extensive use of data visualization techniques throughout the research cycle: Visualizations are used internally by research teams to better understand the structure and properties of large datasets and are also a vital tool for communicating research findings in a way that is intuitive and meaningful for a general audience. WHAT WILL YOU DO? For this exercise, you will create simple exploratory visualizations of data using SPSS (or other analysis software).
Data visualization techniques
You will also use the principles of effective visualization discussed in class to critique real-world data visualizations and evaluate how well they are able to communicate research findings to a non-specialist public. STEP 1: VISUALIZE QUANTITY Using SPSS or another software tool (e.g., Excel, Tableau) and the dataset from Exercises 2 and 3, create an appropriate visualization of the amount of people who reported each type of stress source. STEP 2: VISUALIZE DISTRIBUTION Using the same data and tool set as before, create an appropriate visualization for the distribution of age in the dataset.\\
Data visualization techniques
STEP 3: VISUALIZE A RELATIONSHIP – COMPARISON OF MEANS Using the same data and tool set as before, create an appropriate visualization for the relationship between age (using the three age groups) and optimism. STEP 4: VISUALIZE A RELATIONSHIP – CORRELATION Using the same data and tool set as before, create an appropriate visualization for the relationship between optimism and self-esteem. STEP 5: CRITIQUE OTHER VISUALIZATIONS For two of the following real-world visualizations, give a brief written critique:
Data visualization techniques
a) As part of your critique, you clearly list which variables are represented in the visualization, and which aesthetics each is mapped to. Fall 2022 2 b) Comment on at least one design choice that makes the visualization an effective tool for communicating data visually, as well as at least one aspect that could be improved. (Note: You may wish to refer to the general principles of effective visual communication discussed in the lecture to support your commentary.) c) Finally, sum. https://youtu.be/f79bJTZSAqc
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Teen parenting 2022 Best
This paper involves reviewing the Teen Parenting Case Study and Variables and the Teen Parenting Dataset, given in the resources. Put the data into SPSS, label the variables properly, and then analyze the data using the tests you selected.
Teen parenting
Paper details: Review the Teen Parenting Case Study and Variables and the Parenting Dataset, given in the resources. Put the data into SPSS, label the variables properly, and then analyze the data using the tests you selected. You should have a report on each of the variables provided in the dataset and you should choose the proper way to analyze the data and represent it. Dig deep into the data to look at trends and patterns in all of the variables. Use more complex statistical tests to see relationships between the different variables.
Teen parenting
Complete the following: Interpret and report the findings based on the program evaluation. Be sure to comment on all significant results. Evaluate the dataset provided and discuss the findings. Comment on significant details in the dataset. Analyze the implications of your findings and evaluations. What implications does your study have for the problem and agency? Describe any research limitations that should be considered in the implementation of this research study. How might you improve the study? Develop best practice recommendations based on the research findings. Support your recommendations with a clear rationale based on the statistics. https://youtu.be/UD_pzKI-MMw
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