Information Design

iegn
timer Asked: Feb 22nd, 2020

Question Description


plz no plagiarism at all my instructor is really serious about it

plz go over all the following description



Project 2 Description

This project asks you to engage with data, present data for a specific audience, and practice making effective data visualizations. The project focuses on:

  • the fair, accurate, and ethical use of data
  • how to design effective visualizations
  • the conventions of writing with numbers and data
  • how to integrate figures into a document.

Audience and purpose are central to the goal of the final deliverables. As you will learn by completing this project, numbers don’t speak for themselves. Writing with data requires critical and rhetorical thought, as well as visual design skills.

While working on this project, you will engage with different types of visuals, as well as the conventions of writing with data and numbers. To achieve these goals, you will select a data set from those listed below. After reviewing the data set you select, you will decide on an argument (thesis) you want to make for a specific audience using the data provided. You will then make decisions about which data to visualize from the larger data set and you will create three data visualizations help illustrate your argument visually. Finally, you will write about and analyze that data in brief final visual report.

The final visual report you create will include the three visuals you have made and the supporting text necessary to explain the data you have visualized and make your point.

In addition to the visual report, you also will create a second deliverable: a reflective memo of about 250-500 words. Similar to the PAD memo in the first project, this reflective memo will explain your choices and goals and how the visual report deliverable achieves them.

Data visualizations bring a number of benefits to any professional document, even short ones:

  • Though they have become extremely easy to make, people in the workplace still tend to be impressed by the extra effort and thoughtful presentation implicit in making a visualization.
  • Data visualizations also help to make the work of digesting and interpreting data more efficient by displaying trends or illustrating the significance of specific information without poring over page after page of numbers.
  • Because of this efficiency, visual elements are also better at communicating certain ideas more quickly than words or tabular data. Something that may take many sentences to communicate, a sudden drop in the efficiency of a process, or a surge in sales among a certain demographic, are instantly recognizable as spikes or dips along the X axis of a line graph.

For example:

This short report from the Department of Education (Links to an external site.) provides an overview of literacy and numeracy for men and women. In this online short report, the authors created two bar charts that are designed to show relationships between data and then they briefly explain the importance of the data.

In your visual report, you will create three visualizations and integrate them into your report, providing an introduction to the topic and analysis of the data you include to make a point about the topic using your data.

Project 2 Assignment Instructions

For this project, you will select a data set from the ones listed below and create a short (approximately two-page) informational report that includes at least three data visualizations that you create and that you feel best communicates the data you select from your data set in a form that maximizes the impact of the data to suit a specific audience and purpose.

To create your visualizations and informational report, please select one of the following data sets:

u may choose different source as additional to this one also I will send u an additional link from the university police department

Once you have selected a data set, spend some time with the data. Identify the trends that jump out at you as most significant. As you identify your audience, think about who would want to know about the data and the point you’d like to make. You will not be able to visualize or discuss all the data in your data set. Your job is to select and visualize the data that is most relevant to your audience and the point you are making.

Deliverables

Document 1: Visual Report with 3 Data Visualizations

A short, informative, visually interesting report that makes a point about your subject using the data in your data set. This report should incorporate at three visuals that you have created along with analysis of the data in your figures. The text in your report should:

  • introduce the topic and its importance
  • explain the meaning of each of the three visuals
  • point to the conclusions suggested by the data.

You should identify a clear audience. Your understanding of the audience informs how the data is presented, the form the visualizations take, and the point you use the data to make, as well as the overall purpose of the document.

Document 2: Reflective Analysis

A 250-500 word memo that explains the following. Use memo headings to identify each of the topics listed below. Format the memo like a memo.

  • How and why you selected your data set
  • How you selected which data to visualize and why you visualized it in the form you did
  • Who was your target audience and what was your overall goal/purpose
  • How you ensured that your visualizations of the data were fair, accurate, and clear
  • A link to the raw data set used to create the report (with a citation for the data)

Data Visualization Tools

The following tools may be useful in creating your visualizations. There are other tools and apps that you can use, instead. The important thing is to create three original, effective visualizations using the data you have chosen.




Plz lmk if u have any Q

Unformatted Attachment Preview

1/2/2020 FBI — Table 1 Home (https://ucr.fbi.gov) • Crime in the U.S. (https://ucr.fbi.gov/crime-in-the-u.s) • 2016 (https://ucr.fbi.gov/crime-in-the-u.s/2016) • Crime in the U.S. 2016 (https://ucr.fbi.gov/crime-in-theu.s/2016/crime-in-the-u.s.-2016) • Tables (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/tables) • Table 1 Criminal Justice Information Services Division (https://www.fbi.gov/services/cjis) Feedback (https://forms.fbi.gov/cius-feedback-2016/) | Contact Us (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/resource-pages/contact-us) | Data Quality Guidelines (/cjis/ucr/data-quality-guidelines-new) | UCR Home (https://ucr.fbi.gov/) Home (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/cius-2016) Table Offenses Known to Law Enforcement (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/topic-pages/offenses-known-to-law-enforcement) 1 Violent Crime (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/topic-pages/violent-crime) Crime in the United States Property Crime (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/topic-pages/property-crime) by Volume and Rate per 100,000 Inhabitants, 1997–2016 Clearances (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/topic-pages/clearances) Persons Arrested (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/topic-pages/persons-arrested) Police Employee Data (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/topic-pages/police-employees) Overview Data Declaration (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/tables/table-1/table-1.xls/@@template-layout-view?override-view=datadeclaration) Download Excel (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/tables/table-1/table-1.xls/output.xls) Murder and Violent Murder and nonnegligent Rape Rape (revised Rape Rape (legacy Violent crime nonnegligent manslaughter (revised definition) (legacy definition) Year Population1 crime2 rate manslaughter rate definition3) rate3 definition4) rate4 1997 267,783,607 1,636,096 611.0 18,208 6.8 96,153 35.9 498,534 186.2 1,023 1998 270,248,003 1,533,887 567.6 16,974 6.3 93,144 34.5 447,186 165.5 976 1999 272,690,813 1,426,044 523.0 15,522 5.7 89,411 32.8 409,371 150.1 911 2000 281,421,906 1,425,486 506.5 15,586 5.5 90,178 32.0 408,016 145.0 911 20015 285,317,559 1,439,480 504.5 16,037 5.6 90,863 31.8 423,557 148.5 909 2002 287,973,924 1,423,677 494.4 16,229 5.6 95,235 33.1 420,806 146.1 891 2003 290,788,976 1,383,676 475.8 16,528 5.7 93,883 32.3 414,235 142.5 859 2004 293,656,842 1,360,088 463.2 16,148 5.5 95,089 32.4 401,470 136.7 847 2005 296,507,061 1,390,745 469.0 16,740 5.6 94,347 31.8 417,438 140.8 862 2006 299,398,484 1,435,123 479.3 17,309 5.8 94,472 31.6 449,246 150.0 874 2007 301,621,157 1,422,970 471.8 17,128 5.7 92,160 30.6 447,324 148.3 866,358 2008 304,059,724 1,394,461 458.6 16,465 5.4 90,750 29.8 443,563 145.9 843,683 2009 307,006,550 1,325,896 431.9 15,399 5.0 89,241 29.1 408,742 133.1 812,514 2010 309,330,219 1,251,248 404.5 14,722 4.8 85,593 27.7 369,089 119.3 781,844 https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/topic-pages/tables/table-1 Robbery Robbery rate Aggrava assau 1/2 1/2/2020 FBI — Table 1 Murder and Violent Murder and nonnegligent Rape Rape (revised Rape Rape (legacy Violent crime nonnegligent manslaughter (revised definition) (legacy definition) Year Population1 crime2 rate manslaughter rate definition3) rate3 definition4) rate4 Robbery 2011 311,587,816 1,206,005 387.1 14,661 4.7 84,175 27.0 354,746 113.9 752,423 2012 313,873,685 1,217,057 387.8 14,856 4.7 85,141 27.1 355,051 113.1 762,009 2013 316,497,531 1,168,298 369.1 14,319 4.5 113,695 35.9 82,109 25.9 345,093 109.0 726,777 2014 318,907,401 1,153,022 361.6 14,164 4.4 118,027 37.0 84,864 26.6 322,905 101.3 731,089 20156 320,896,618 1,199,310 373.7 15,883 4.9 126,134 39.3 91,261 28.4 328,109 102.2 764,057 2016 323,127,513 1,248,185 386.3 17,250 5.3 130,603 40.4 95,730 29.6 332,198 102.8 803,007 Robbery 1 Populations are U.S. Census Bureau provisional estimates as of July 1 for each year except 2000 and 2010, which are decennial census counts. 2 The violent crime figures include the offenses of murder, rape (legacy definition), robbery, and aggravated assault. 3 The Aggrava rate assau figures shown in this column for the offense of rape were estimated using the revised Uniform Crime Reporting Program's (UCR) definition of rape. See data declaration for further explanation. 4 The 5 figures shown in this column for the offense of rape were estimated using the legacy UCR definition of rape. See data declaration for further explanation. The murder and nonnegligent homicides that occurred as a result of the events of September 11, 2001, are not included in this table. 6 The crime figures have been adjusted. NOTE: Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table. Data Declaration (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-theu.s.-2016/tables/table-1/table-1.xls/@@template-layout-view?override-view=datadeclaration) Provides the methodology used in constructing this table and other pertinent information about this table. Overview Download Printable Document (https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/tables/table-1/table-1overview.pdf) Table 1—Crime in the United States, by Volume and Rate per 100,000 Inhabitants, 1997–2016 In 2016, the estimated number of violent crime offenses was 1,248,185, an increase of 4.1 percent from the 2015 estimate. The violent crime of murder and nonnegligent manslaughter increased 8.6 percent in 2016 when compared with the 2015 estimate. Aggravated assault offenses increased 5.1 percent, and rape offenses (legacy definition) increased 4.9 percent. The violent crime of robbery rose 1.2 percent when compared with the 2015 estimate. The 2016 violent crime rate was 386.3 per 100,000 inhabitants, up 3.4 percent when compared with the 2015 violent crime rate. The murder rate was 5.3 per 100,000 inhabitants in 2016, a 7.9 percent increase when compared with the estimated rate for the previous year. The estimated number of property crimes in 2016 was 7,919,035, a 1.3 percent decrease from the 2015 estimate. Of the property crimes, the estimated number of burglary offenses decreased 4.6 percent, and larceny-theft offenses declined 1.5 percent. The estimated number of motor vehicle thefts increased 7.4 percent. The 2016 property crime rate was 2,450.7 per 100,000, a 2.0 percent decrease when compared with the 2015 rate. https://ucr.fbi.gov/crime-in-the-u.s/2016/crime-in-the-u.s.-2016/topic-pages/tables/table-1 2/2
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