Presentation Narration Guide Good preparation for the presentation includes having notes and outlines of what will be said during each slide. The students are expected to submit a MC Word or PDF...

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  1. Presentation Narration Guide




  2. Good preparation for the presentation includes having notes and outlines of what will be said during each slide. The students are expected to submit a MC Word or PDF document of the narration for the PowerPoint Presentation in the separate submission that will be checked for plagiarism.


    ALL STUDENTS MUST SUBMIT A COPY OF THEIR NARRATIVE. No grade will be given without submission of the narrative of the presentation.



  3. By submitting this paper, you agree: (1) that you are submitting your paper to be used and stored as part of the SafeAssign™ services in accordance with theBlackboard Privacy Policy; (2) that your institution may use your paper in accordance with your institution's policies; and (3) that your use of SafeAssign will be without recourse against Blackboard Inc. and its affiliates.

  4. https://data.census.gov/cedsci/table?q=United%20States&g=0500000US36081&tid=ACSDP1Y2019.DP05&hidePreview=true





Information ACS DEMOGRAPHIC AND HOUSING ESTIMATES Note: The table shown may have been modified by user selections. Some information may be missing. DATA NOTES TABLE ID:DP05 SURVEY/PROGRAM:American Community Survey VINTAGE:2019 DATASET:ACSDP1Y2019 PRODUCT:ACS 1-Year Estimates Data Profiles UNIVERSE:None FTP URL:None API URL:https://api.census.gov/data/2019/acs/acs1/profile USER SELECTIONS GEOSUnited States; Queens County, New York EXCLUDED COLUMNSNone APPLIED FILTERSNone APPLIED SORTSNone WEB ADDRESShttps://data.census.gov/cedsci/table?q=United%20States&g=0500000US36081&tid=ACSDP1Y2019.DP05&hidePreview=true TABLE NOTESAlthough the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties. Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. Source: U.S. Census Bureau, 2019 American Community Survey 1-Year Estimates Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables. For more information on understanding race and Hispanic origin data, please see the Census 2010 Brief entitled, Overview of Race and Hispanic Origin: 2010, issued March 2011. (pdf format) The 2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities. Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization. Explanation of Symbols: * An "**" entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. * An "-" entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of error associated with a median was larger than the median itself. * An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution. * An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution. * An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate. * An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. * An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small. * An "(X)" means that the estimate is not applicable or not available. COLUMN NOTESNone Table: ACSDP1Y2019.DP05 Table: ACSDP1Y2019.DP05 &Bdata.census.gov&B | Measuring America's People, Places, and Economy &P &Bdata.census.gov&B | Measuring America's People, Places, and Economy &P Data United StatesQueens County, New York LabelEstimateMargin of ErrorPercentPercent Margin of ErrorEstimateMargin of ErrorPercentPercent Margin of Error SEX AND AGE Total population328,239,523*****328,239,523(X)2,253,858*****2,253,858(X) Male161,588,973±34,80849.2%±0.11,094,029±64948.5%±0.1 Female166,650,550±34,80850.8%±0.11,159,829±64951.5%±0.1 Sex ratio (males per 100 females)97.0±0.1(X)(X)94.3±0.1(X)(X) Under 5 years19,404,835±22,3145.9%±0.1136,858±3756.1%±0.1 5 to 9 years19,690,437±69,2246.0%±0.1116,135±5,0155.2%±0.2 10 to 14 years21,423,479±69,7796.5%±0.1127,094±5,0405.6%±0.2 15 to 19 years21,353,524±36,1166.5%±0.1114,117±7785.1%±0.1 20 to 24 years21,468,680±34,1956.5%±0.1125,955±8405.6%±0.1 25 to 34 years45,578,475±44,19713.9%±0.1360,026±87816.0%±0.1 35 to 44 years41,914,845±33,51112.8%±0.1306,325±72913.6%±0.1 45 to 54 years40,863,107±36,06812.4%±0.1298,548±55713.2%±0.1 55 to 59 years21,484,060±58,8296.5%±0.1161,487±4,5167.2%±0.2 60 to 64 years20,984,053±58,6436.4%±0.1138,853±4,5256.2%±0.2 65 to 74 years31,575,561±23,7979.6%±0.1207,989±4169.2%±0.1 75 to 84 years16,140,238±33,8664.9%±0.1109,129±3,3204.8%±0.1 85 years and over6,358,229±34,3211.9%±0.151,342±3,2762.3%±0.1 Median age (years)38.5±0.1(X)(X)39.7±0.2(X)(X) Under 18 years72,967,785±33,14322.2%±0.1451,327±53320.0%±0.1 16 years and over263,534,161±52,16180.3%±0.11,851,947±2,20782.2%±0.1 18 years and over255,271,738±33,14377.8%±0.11,802,531±53380.0%±0.1 21 years and over241,886,206±83,33773.7%±0.11,733,275±2,35476.9%±0.1 62 years and over66,395,660±61,05420.2%±0.1453,738±4,64020.1%±0.2 65 years and over54,074,028±24,91516.5%±0.1368,460±49616.3%±0.1 18 years and over255,271,738±33,143255,271,738(X)1,802,531±5331,802,531(X) Male124,267,346±30,26848.7%±0.1862,424±55747.8%±0.1 Female131,004,392±22,77051.3%±0.1940,107±17652.2%±0.1 Sex ratio (males per 100 females)94.9±0.1(X)(X)91.7±0.1(X)(X) 65 years and over54,074,028±24,91554,074,028(X)368,460±496368,460(X) Male24,044,281±16,35244.5%±0.1156,351±33442.4%±0.1 Female30,029,747±17,17055.5%±0.1212,109±48857.6%±0.1 Sex ratio (males per 100 females)80.1±0.1(X)(X)73.7±0.3(X)(X) RACE Total population328,239,523*****328,239,523(X)2,253,858*****2,253,858(X) One race316,930,628±119,59296.6%±0.12,166,910±9,77596.1%±0.4 Two or more races11,308,895±119,5923.4%±0.186,948±9,7753.9%±0.4 One race316,930,628±119,59296.6%±0.12,166,910±9,77596.1%±0.4 White236,475,401±99,21272.0%±0.1821,416±16,78036.4%±0.7 Black or African American41,989,671±77,38112.8%±0.1415,664±5,66618.4%±0.3 American Indian and Alaska Native2,847,336±33,6710.9%±0.111,642±3,3120.5%±0.1 Cherokee tribal grouping289,234±11,1210.1%±0.1NNNN Chippewa tribal grouping126,987±6,1630.0%±0.1NNNN Navajo tribal grouping340,669±11,7740.1%±0.1NNNN Sioux tribal grouping119,004±7,1950.0%±0.1NNNN Asian18,636,984±39,5625.7%±0.1588,964±5,15926.1%±0.2 Asian Indian4,240,466±49,6991.3%±0.1127,714±9,3165.7%±0.4 Chinese4,404,678±46,0361.3%±0.1244,729±10,56110.9%±0.5 Filipino2,983,596±45,2140.9%±0.149,169±5,4172.2%±0.2 Japanese755,672±17,6390.2%±0.15,514±2,0790.2%±0.1 Korean1,461,843±29,4730.4%±0.144,641±5,1052.0%±0.2 Vietnamese1,873,707±40,9470.6%±0.16,177±2,1980.3%±0.1 Other Asian2,917,022±47,5350.9%±0.1111,020±11,2194.9%±0.5 Native Hawaiian and Other Pacific Islander628,683±17,7950.2%±0.11,030±7280.0%±0.1 Native Hawaiian198,734±11,7130.1%±0.1NNNN Guamanian or Chamorro78,323±7,3370.0%±0.1NNNN Samoan112,845±10,6410.0%±0.1NNNN Other Pacific Islander238,781±14,1440.1%±0.1NNNN Some other race16,352,553±122,0605.0%±0.1328,194±17,29714.6%±0.8 Two or more races11,308,895±119,5923.4%±0.186,948±9,7753.9%±0.4 White and Black or African American3,276,186±53,1061.0%±0.113,366±3,0710.6%±0.1 White and American Indian and Alaska Native1,845,910±33,9240.6%±0.16,285±2,3920.3%±0.1 White and Asian2,502,591±39,5370.8%±0.116,302±3,0560.7%±0.1 Black or African American and American Indian and Alaska Native298,099±15,7450.1%±0.12,301±1,3210.1%±0.1 Race alone or in combination with one or more other races Total population328,239,523*****328,239,523(X)2,253,858*****2,253,858(X) White246,234,076±146,98275.0%±0.1876,966±16,00938.9%±0.7 Black or African American46,713,850±58,31114.2%±0.1451,839±9,03720.0%±0.4 American Indian and Alaska Native5,665,200±47,5631.7%±0.130,845±7,2571.4%±0.3 Asian22,371,683±39,1876.8%±0.1625,409±3,58027.7%±0.2 Native Hawaiian and Other Pacific Islander1,438,818±26,8430.4%±0.18,470±1,8490.4%±0.1 Some other race18,214,244±121,4105.5%±0.1357,083±18,08415.8%±0.8 HISPANIC OR LATINO AND RACE Total population328,239,523*****328,239,523(X)2,253,858*****2,253,858(X) Hispanic or Latino (of any race)60,481,746±11,34218.4%±0.1634,934*****28.2%***** Mexican37,186,361±109,30811.3%±0.1100,428±13,1954.5%±0.6 Puerto Rican5,828,706±60,5011.8%±0.1100,532±9,9894.5%±0.4 Cuban2,381,565±39,0220.7%±0.17,702±1,9400.3%±0.1 Other Hispanic or Latino15,085,114±93,5094.6%±0.1426,272±15,56218.9%±0.7 Not Hispanic or Latino267,757,777±11,34281.6%±0.11,618,924*****71.8%***** White alone196,789,401±22,51760.0%±0.1550,074±2,70124.4%±0.1 Black or African American alone40,596,040±70,04712.4%±0.1389,816±4,59717.3%±0.2 American Indian and Alaska Native alone2,236,348±22,0270.7%±0.15,012±1,3960.2%±0.1 Asian alone18,427,914±39,2365.6%±0.1586,443±5,16726.0%±0.2 Native Hawaiian and Other Pacific Islander alone565,473±15,3160.2%±0.1824±6590.0%±0.1 Some other race alone839,270±29,5780.3%±0.134,908±5,3551.5%±0.2 Two or more races8,303,331±86,9152.5%±0.151,847±5,4612.3%±0.2 Two races including Some other race312,842±12,0070.1%±0.112,155±2,6520.5%±0.1 Two races excluding Some other race, and Three or more races7,990,489±86,6002.4%±0.139,692±5,0361.8%±0.2 Total housing units139,686,209±6,973(X)(X)869,346±1,109(X)(X) CITIZEN, VOTING AGE POPULATION Citizen, 18 and over population235,418,734±159,764235,418,734(X)1,388,231±13,5491,388,231(X) Male114,206,194±98,22548.5%±0.1659,702±8,53147.5%±0.3 Female121,212,540±79,68951.5%±0.1728,529±7,40052.5%±0.3 Table: ACSDP1Y2019.DP05 Table: ACSDP1Y2019.DP05 &Bdata.census.gov&B | Measuring America's People, Places, and Economy &P &Bdata.census.gov&B | Measuring America's People, Places, and Economy &P School of Professional Studies – QUAN 201 Signature Assignment C: Spaces in Transition Data visualization has never been so prevalent. With the advances in technology that facilitate turning data into visually appealing and visually meaningful representations and the facility with which these are disseminated on the web, data analysts and common folk can tell the story of numbers through graphics. Referencing the module readings, you will create a PowerPoint presentation about a specific community: a neighborhood or city, depending on the available supportive resources. Your analysis will focus on the population changes that have taken place within that community. Consider
Answered 2 days AfterJul 06, 2021

Answer To: Presentation Narration Guide Good preparation for the presentation includes having notes and...

Deblina answered on Jul 09 2021
146 Votes
Running Head: Data Visualization         1
Data Visualization         10
DATA VISUALIZATION
Table of Contents
Introduction    3
County    3
Supportive Facts    
3
Data and Methodology    4
Sociological Impacts of the Change in Population    4
Analysis of the Population Data    5
Mappings    5
Graphical Analysis    7
Conclusion    8
References    10
Introduction
This assignment presents the analysis of the population in the county of New York in which I have been living for the last 10 years. Data visualization is one of the important techniques that is used in every field in today's world to study and forecast data that can be presumed beforehand regarding a particular field. As a data management consultant, it is obvious that demographic data is vital to study the sociological impacts of the change in population in a particular region and the effects on the economy, polity, and society about the population change.
Initially, we shall study the population statistics of the county for the years 2010 and 2010. Thereafter we shall explore some statistical analysis by using these data. Further, we shall consider mapping and the graphical analysis with the prevailing data.
County
Queens County of New York City is the Easternmost of all the five counties of New York. It is the largest area of New York and is adjacent to Brooklyn County at the Western end of Long Island. Queens County is one of the most ethnically diversified urban areas of the United State, and it has evenly spread sectors of healthcare, manufacturing, construction, retail trade, film and television, production, and so on.
Supportive Facts
According to Daily News, which reported that Queens County is one of the most diverse counties in the world, which account for numerous immigrants from all over the globe? It accounts for a mix of more than a million immigrants, which accounts for the highest among all the counties of New York. The media also pointed out that the population composition of Queens County is lost evenly divided between Asian and Hispanic groups from China, Ecuador, India, Dominican Republic, Korea, and Colombia. This article talks about the diversity in ethnicity the various groups that are prevalent among the population of the Queens County of New York City (Daily News, 2009).
While in another article as reported by the New York Times the population composition of the entire New York City has been decreasing in the last few decades, due to the increase in the cost of living in the city of New York. This expensive inertia of the economy is forcing people to migrate out from New York to the other parts of the United States (The New York Times, 2019).
Data and Methodology
In this assignment, we use the data as reported by the United States of America Census Bureau. We have explored the demographic data of Queens County, of New York. We have significantly studied the data of the 2002 and 2010 population census of the aforementioned county. Further, we are using statistical analysis and data analysis to study the changes that have taken place in the population...
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