The document analyzes a survey conducted at a music event in Austin, Texas to determine the demographic characteristics and marketing effectiveness of attendees. The key findings are:
1) Survey respondents were majority male (78%) with a mean age of 31, and majority lived in Travis, Hays, and Williamson counties.
2) A cartographic model was created to combine survey data with census data and display geographically. This identified the lower southwest area of Travis County as having the highest concentration of the target demographic of 21-44 year olds.
3) Facebook was the most effective advertising method reaching attendees (47%), while flyers were least effective (3%). A new flyer distribution network focused on Amy's Ice
The team aims to enhance force protection for U.S. Army commanders by analyzing social media data to identify probable hotspots of future unrest. They have fluency in critical languages and experience in data science, startups, and the tech industry. Their capabilities include indexing social media data and applying image, text, and sentiment analysis using machine learning. Their journey has included building recognition tools and prototyping a system called Spyglass to address the Army's need to analyze social media and predict threats in dense urban environments.
1. The study analyzed the relationship between social media popularity (Facebook fans and Twitter followers) and polling data of 8 Republican presidential candidates from June to December 2011.
2. The results showed a significant correlation between total Facebook fans and polling numbers, but no correlation with Facebook growth rates. There was also a correlation between total Twitter followers and polling numbers after adjusting for outliers.
3. While social media data cannot replace polling, it provides additional insights and may help predict election trends in near real-time, complementing traditional polling methods. More research is still needed to better understand the dynamics.
Using Tweets for Understanding Public Opinion During U.S. Primaries and Predi...Monica Powell
Abstract
Using social media for political analysis, especially during elections, has become popular in the past few years where many researchers and media now use social media to understand the public opinion and current trends. In this paper, we investigate methods for using Twitter to analyze public opinion and to predict U.S. Presidential Primary Election results. We analyzed over 13 million tweets from February 2016 to April 2016 during the primary elections, and we looked at tweets that mentioned either Hillary Clin- ton, Bernie Sanders, Donald Trump or Ted Cruz. First, we use the methods of sentiment analysis, geospatial analysis, net- work analysis, and visualizations tools to examine public opinion on twitter. We then use the twitter data and analysis results to propose a prediction model for predicting primary election results. Our results highlight the feasibility of using social media to look at public opinion and predict election results.
This document summarizes research on using Google Trends data to forecast the results of the 2012 French presidential election. It begins with a literature review on how the internet has been used in political campaigns, particularly in the US. It also discusses previous research using Google Trends in political analysis and forecasting. The document then applies a "forecasting the present" method developed by Choi and Varian to predict the French election results based on combining daily Google Trends and poll data. Finally, it analyzes the French campaign using Google Trends to identify different phases and how candidates' strategies were impacted by institutional rules. The analysis suggests candidates should use limited resources early to control the campaign agenda before equal airtime rules take effect.
This study examined the relationship between the number of Facebook likes for candidates in Italian administrative elections and their actual election results. The study found a moderate positive correlation between Facebook likes and vote share. Several factors were found to influence this relationship, including political party, municipality size, and number of candidates. While Facebook popularity predicted the winner in 18% of races, the most popular candidate on Facebook came in second 43% of the time. The correlation between Facebook likes and election results was higher in municipalities with more candidates having Facebook pages.
Using Mobile Technologies for Real Estate Researchfarsitegroup
How do you use mobile and social data for real estate research? See farsite's presentation on how retailers can use foursquare and Facebook data to navigate the new customer journey.
The team aims to enhance force protection for U.S. Army commanders by analyzing social media data to identify probable hotspots of future unrest. They have fluency in critical languages and experience in data science, startups, and the tech industry. Their capabilities include indexing social media data and applying image, text, and sentiment analysis using machine learning. Their journey has included building recognition tools and prototyping a system called Spyglass to address the Army's need to analyze social media and predict threats in dense urban environments.
1. The study analyzed the relationship between social media popularity (Facebook fans and Twitter followers) and polling data of 8 Republican presidential candidates from June to December 2011.
2. The results showed a significant correlation between total Facebook fans and polling numbers, but no correlation with Facebook growth rates. There was also a correlation between total Twitter followers and polling numbers after adjusting for outliers.
3. While social media data cannot replace polling, it provides additional insights and may help predict election trends in near real-time, complementing traditional polling methods. More research is still needed to better understand the dynamics.
Using Tweets for Understanding Public Opinion During U.S. Primaries and Predi...Monica Powell
Abstract
Using social media for political analysis, especially during elections, has become popular in the past few years where many researchers and media now use social media to understand the public opinion and current trends. In this paper, we investigate methods for using Twitter to analyze public opinion and to predict U.S. Presidential Primary Election results. We analyzed over 13 million tweets from February 2016 to April 2016 during the primary elections, and we looked at tweets that mentioned either Hillary Clin- ton, Bernie Sanders, Donald Trump or Ted Cruz. First, we use the methods of sentiment analysis, geospatial analysis, net- work analysis, and visualizations tools to examine public opinion on twitter. We then use the twitter data and analysis results to propose a prediction model for predicting primary election results. Our results highlight the feasibility of using social media to look at public opinion and predict election results.
This document summarizes research on using Google Trends data to forecast the results of the 2012 French presidential election. It begins with a literature review on how the internet has been used in political campaigns, particularly in the US. It also discusses previous research using Google Trends in political analysis and forecasting. The document then applies a "forecasting the present" method developed by Choi and Varian to predict the French election results based on combining daily Google Trends and poll data. Finally, it analyzes the French campaign using Google Trends to identify different phases and how candidates' strategies were impacted by institutional rules. The analysis suggests candidates should use limited resources early to control the campaign agenda before equal airtime rules take effect.
This study examined the relationship between the number of Facebook likes for candidates in Italian administrative elections and their actual election results. The study found a moderate positive correlation between Facebook likes and vote share. Several factors were found to influence this relationship, including political party, municipality size, and number of candidates. While Facebook popularity predicted the winner in 18% of races, the most popular candidate on Facebook came in second 43% of the time. The correlation between Facebook likes and election results was higher in municipalities with more candidates having Facebook pages.
Using Mobile Technologies for Real Estate Researchfarsitegroup
How do you use mobile and social data for real estate research? See farsite's presentation on how retailers can use foursquare and Facebook data to navigate the new customer journey.
Mortimer Spinks provides recruitment services and analyzed trends in the UK technology market for Java and Scala roles. They found that demand for developers is high, with a 19% increase in Java roles year-over-year. Java remains prominent in all sectors, especially banking where it accounts for 30% of tech roles. Ecommerce is seeing the most variety and fastest growth in roles. While salaries are increasing across all sectors, banking offers the highest salaries and fastest pay increases as competition for talent intensifies.
iContro is part of Planetsoft International Holdings Company established in 1995 specialises in Research and Development of Enterprise Resource Planning (ERP). Since 1995, we continuously provide improvements and new innovations of business processes and performance, based on the best practices of Asian Business Culture.
The past 19 years, iContro has established its Singapore, Malaysia and Indonesia offices while projecting a positive landmark establishment in Philippines, India and China by end of 2015.
La función principal de una Oficina de Gestión de Proyectos (PMO) según la Guía PMBOK® es brindar apoyo a los directores de proyectos mediante la identificación y desarrollo de una metodología y mejores prácticas de gestión de proyectos, la capacitación e instrucción sobre su cumplimiento, y la coordinación de la comunicación y los recursos compartidos entre proyectos.
Mutación Oficina Técnica a Oficina de Gestión de Proyectos(PMO)-Leonardo de l...Paragon Project Partners
El documento describe la transición de una oficina técnica a una Oficina de Gestión de Proyectos (PMO) para un proyecto de suministro de agua desalinizada en Chile. El proyecto incluye una planta desalinizadora, un acueducto de 90 km y otro de 112 km. Al cambiar a un modelo PMO, el proyecto logró cumplir los plazos a los clientes, redujo los costos en $22 millones y cumplió con la calidad esperada.
The rapid expansion of the life insurance profession in India over recent years has delivered many benefits. It has
enabled families and individuals to protect themselves against some of life’s most serious risks, and to plan for their
financial security in retirement.
However, the sector does not have an unblemished record. There have been high profile situations where, frankly, the
consumer interest has been a second-tier priority. The task of the IRDA, as Regulator, is to promote and protect the
interests of policyholders.
The future success of the life insurance profession depends, above all, upon the knowledge and integrity of the people
who advise customers – and are their first, and most important, point of contact. At the IRDA, our goal is to see life
insurers increasingly able to attract, motivate and retain outstanding people, committed to providing a ‘needs-based’
approach to financial advice.
This new coursebook, and the revised qualification that agents now sit, is a vital part of our strategy. We have developed
a syllabus that is challenging in its scope and depth. It does not simply encourage agents to memorise facts and
figures. This is important, but insufficient. It also tests their understanding of learning, and ability to apply it in a wide
range of practical real-life situations.
I am grateful to the Chartered Insurance Institute for their extensive support for this work. We have benefitted greatly
from their experience in other markets. I am also thankful to many other industry practitioners who have given their time
and expertise to develop this material.
Above all, I acknowledge you, the aspiring professional, for embarking on this journey, and taking seriously the need
for professional study. Without you, there would be no future for this important marketplace. I trust you will find this
coursebook of great value for your studies, and send my best wishes for your future as a life agent.
Esta revista es el proyecto final de mi hijo Marco Antonio Cubillo Chinchilla el estudia en el CTP de Aserrí Diseño Publicitario, espero les guste.....
Las patologías oncohematológicas son procesos clonales determinados por mutaciones genéticas. Incluyen neoplasias mieloproliferativas como la leucemia mieloide crónica causada por la translocación cromosómica Philadephia que genera el gen de fusión BCR-ABL, la policitemia vera causada por la mutación JAK2 V617F, y la mielofibrosis primaria también asociada a JAK2 V617F. Su tratamiento incluye quimioterapia, trasplante de méd
This document provides an overview of XML, including:
- XML is a markup language for structured documents defined by four specifications from the W3C.
- It is more extensible than HTML and allows custom tags for different types of content.
- Authoring XML involves using elements, attributes, and documents that follow specific syntax rules.
- XML documents can be queried using languages like XML-QL, and data from different sources can be integrated and transformed using mediators.
Material para la mejor preparación de los exámenes parte alimentaciónMCMurray
Este documento proporciona consejos sobre alimentación y vitaminas para mejorar el rendimiento intelectual y reducir la fatiga antes de un examen. Recomienda incluir pescado, miel, jalea real, leche, verduras y frutas en la dieta, y evitar el tabaco, el alcohol y las grasas saturadas. También describe las propiedades y fuentes de vitaminas como la A, B2 y C. Por último, proporciona recetas de jugos naturales y hierbas como manzanilla y tilo para combatir problemas como la fatiga, el dol
Este documento proporciona información sobre la leucemia mieloide aguda (LMA), incluida su historia, definiciones, subtipos, manifestaciones clínicas, diagnóstico diferencial y tratamiento. La LMA es un trastorno clonal de la célula madre hematopoyética que causa alteraciones en la proliferación y diferenciación celular. Los síntomas incluyen anemia, cansancio y palidez. El tratamiento puede incluir trasplante de médula ósea o quimioterapia con arabinósido de citos
eMarketer Webinar: Mobile Advertising—Five Things You Need to Know NoweMarketer
Mobile already accounts for more than half of digital ad spending in the US, and its share is growing. Topics in this webinar include: Why even though overall spending skews toward mobile, most brands don’t think they’re spending half their digital budgets on the channel; What opportunities lie in location-based marketing beyond geofencing; Why marketers need to embrace ad IDs and cut the cookie cord; Which metrics to monitor and get the most out of mobile measurement; Why creative is in crisis on mobile.
The document provides answers to frequently asked questions about Community Profiles and MAPAS, which are data reporting and mapping tools created by the Community Research Institute. The Community Profiles provide demographic, economic, and other data for different geographic areas, and can be accessed on their website. MAPAS is an interactive mapping system that allows users to map various indicators and view location data for points of interest. It provides data from the Community Profiles and other sources. Scenarios are provided as examples of how non-profits, foundations and others can use the tools to inform decision making and target community efforts.
Esri Data Tapestry Segmentation Methodology StatementEsri
This document summarizes the methodology used by Esri to develop their Tapestry Segmentation system. It discusses the statistical clustering methods used to group US neighborhoods into distinct market segments based on demographic and housing characteristics. It also describes the data sources and variables used in the analysis, as well as the verification procedures to ensure the stability and validity of the segments. The Tapestry Segmentation system classifies US neighborhoods into 65 distinct market segments that share similar characteristics.
Reuters/Ipsos Data: Democratic Presidential Candidates (03/27/2019)Ipsos Public Affairs
These are findings from Ipsos polls conducted in March 2019 on behalf of Thomson Reuters. For each survey, adults age 18+ from the continental U.S., Alaska and Hawaii were interviewed online in English. The sample was randomly drawn from Ipsos's online panel and partner panels, and does not rely on a traditional population frame. Ipsos calibrates respondent characteristics to be representative of the U.S. population using standard procedures. The polls measure familiarity and favorability of 2020 Democratic presidential candidates among all Americans and among Democrats/Democratic-leaning independents.
Beyond Dots on a Map: Spatially Modeled Surfaces of DHS dataMEASURE Evaluation
This presentation was shared by Clara R. Burgert-Brucker, Pete Gething, Andy Tatem, and Tom Bird, all with The DHS Program, at the June 2016 MEASURE Evaluation GIS Working Group Meeting.
[DSC Europe 23] Alen Kisic - How can do Facebook data and machine learning al...DataScienceConferenc1
This talk explores the application of machine learning algorithms on the social network Facebook users' activity data to develop predictive models of election outcomes. The main goal is to compare their accuracy and reliability with the models obtained by traditional public opinion polls. Four different approaches to machine learning are used to develop predictive models: an approach based on: error, information, similarity, and probability. The most effective approach is revealed. Obtaining equally effective predictive models with faster and easier access to data makes a significant scientific and social contribution to research in this area.
This document analyzes potential new markets for SPC Direct in South Carolina. It identifies counties that meet criteria for household income over $50,000 and insured populations over 40,000 by analyzing census data. These counties are overlaid with SPC Direct's current market areas. The analysis reveals potential in York County due to its high income, population of over 40,000 in Rock Hill, and insured population of over 200,000. Horry County also shows potential. The document recommends SPC Direct investigate expanding to York County.
Mortimer Spinks provides recruitment services and analyzed trends in the UK technology market for Java and Scala roles. They found that demand for developers is high, with a 19% increase in Java roles year-over-year. Java remains prominent in all sectors, especially banking where it accounts for 30% of tech roles. Ecommerce is seeing the most variety and fastest growth in roles. While salaries are increasing across all sectors, banking offers the highest salaries and fastest pay increases as competition for talent intensifies.
iContro is part of Planetsoft International Holdings Company established in 1995 specialises in Research and Development of Enterprise Resource Planning (ERP). Since 1995, we continuously provide improvements and new innovations of business processes and performance, based on the best practices of Asian Business Culture.
The past 19 years, iContro has established its Singapore, Malaysia and Indonesia offices while projecting a positive landmark establishment in Philippines, India and China by end of 2015.
La función principal de una Oficina de Gestión de Proyectos (PMO) según la Guía PMBOK® es brindar apoyo a los directores de proyectos mediante la identificación y desarrollo de una metodología y mejores prácticas de gestión de proyectos, la capacitación e instrucción sobre su cumplimiento, y la coordinación de la comunicación y los recursos compartidos entre proyectos.
Mutación Oficina Técnica a Oficina de Gestión de Proyectos(PMO)-Leonardo de l...Paragon Project Partners
El documento describe la transición de una oficina técnica a una Oficina de Gestión de Proyectos (PMO) para un proyecto de suministro de agua desalinizada en Chile. El proyecto incluye una planta desalinizadora, un acueducto de 90 km y otro de 112 km. Al cambiar a un modelo PMO, el proyecto logró cumplir los plazos a los clientes, redujo los costos en $22 millones y cumplió con la calidad esperada.
The rapid expansion of the life insurance profession in India over recent years has delivered many benefits. It has
enabled families and individuals to protect themselves against some of life’s most serious risks, and to plan for their
financial security in retirement.
However, the sector does not have an unblemished record. There have been high profile situations where, frankly, the
consumer interest has been a second-tier priority. The task of the IRDA, as Regulator, is to promote and protect the
interests of policyholders.
The future success of the life insurance profession depends, above all, upon the knowledge and integrity of the people
who advise customers – and are their first, and most important, point of contact. At the IRDA, our goal is to see life
insurers increasingly able to attract, motivate and retain outstanding people, committed to providing a ‘needs-based’
approach to financial advice.
This new coursebook, and the revised qualification that agents now sit, is a vital part of our strategy. We have developed
a syllabus that is challenging in its scope and depth. It does not simply encourage agents to memorise facts and
figures. This is important, but insufficient. It also tests their understanding of learning, and ability to apply it in a wide
range of practical real-life situations.
I am grateful to the Chartered Insurance Institute for their extensive support for this work. We have benefitted greatly
from their experience in other markets. I am also thankful to many other industry practitioners who have given their time
and expertise to develop this material.
Above all, I acknowledge you, the aspiring professional, for embarking on this journey, and taking seriously the need
for professional study. Without you, there would be no future for this important marketplace. I trust you will find this
coursebook of great value for your studies, and send my best wishes for your future as a life agent.
Esta revista es el proyecto final de mi hijo Marco Antonio Cubillo Chinchilla el estudia en el CTP de Aserrí Diseño Publicitario, espero les guste.....
Las patologías oncohematológicas son procesos clonales determinados por mutaciones genéticas. Incluyen neoplasias mieloproliferativas como la leucemia mieloide crónica causada por la translocación cromosómica Philadephia que genera el gen de fusión BCR-ABL, la policitemia vera causada por la mutación JAK2 V617F, y la mielofibrosis primaria también asociada a JAK2 V617F. Su tratamiento incluye quimioterapia, trasplante de méd
This document provides an overview of XML, including:
- XML is a markup language for structured documents defined by four specifications from the W3C.
- It is more extensible than HTML and allows custom tags for different types of content.
- Authoring XML involves using elements, attributes, and documents that follow specific syntax rules.
- XML documents can be queried using languages like XML-QL, and data from different sources can be integrated and transformed using mediators.
Material para la mejor preparación de los exámenes parte alimentaciónMCMurray
Este documento proporciona consejos sobre alimentación y vitaminas para mejorar el rendimiento intelectual y reducir la fatiga antes de un examen. Recomienda incluir pescado, miel, jalea real, leche, verduras y frutas en la dieta, y evitar el tabaco, el alcohol y las grasas saturadas. También describe las propiedades y fuentes de vitaminas como la A, B2 y C. Por último, proporciona recetas de jugos naturales y hierbas como manzanilla y tilo para combatir problemas como la fatiga, el dol
Este documento proporciona información sobre la leucemia mieloide aguda (LMA), incluida su historia, definiciones, subtipos, manifestaciones clínicas, diagnóstico diferencial y tratamiento. La LMA es un trastorno clonal de la célula madre hematopoyética que causa alteraciones en la proliferación y diferenciación celular. Los síntomas incluyen anemia, cansancio y palidez. El tratamiento puede incluir trasplante de médula ósea o quimioterapia con arabinósido de citos
eMarketer Webinar: Mobile Advertising—Five Things You Need to Know NoweMarketer
Mobile already accounts for more than half of digital ad spending in the US, and its share is growing. Topics in this webinar include: Why even though overall spending skews toward mobile, most brands don’t think they’re spending half their digital budgets on the channel; What opportunities lie in location-based marketing beyond geofencing; Why marketers need to embrace ad IDs and cut the cookie cord; Which metrics to monitor and get the most out of mobile measurement; Why creative is in crisis on mobile.
The document provides answers to frequently asked questions about Community Profiles and MAPAS, which are data reporting and mapping tools created by the Community Research Institute. The Community Profiles provide demographic, economic, and other data for different geographic areas, and can be accessed on their website. MAPAS is an interactive mapping system that allows users to map various indicators and view location data for points of interest. It provides data from the Community Profiles and other sources. Scenarios are provided as examples of how non-profits, foundations and others can use the tools to inform decision making and target community efforts.
Esri Data Tapestry Segmentation Methodology StatementEsri
This document summarizes the methodology used by Esri to develop their Tapestry Segmentation system. It discusses the statistical clustering methods used to group US neighborhoods into distinct market segments based on demographic and housing characteristics. It also describes the data sources and variables used in the analysis, as well as the verification procedures to ensure the stability and validity of the segments. The Tapestry Segmentation system classifies US neighborhoods into 65 distinct market segments that share similar characteristics.
Reuters/Ipsos Data: Democratic Presidential Candidates (03/27/2019)Ipsos Public Affairs
These are findings from Ipsos polls conducted in March 2019 on behalf of Thomson Reuters. For each survey, adults age 18+ from the continental U.S., Alaska and Hawaii were interviewed online in English. The sample was randomly drawn from Ipsos's online panel and partner panels, and does not rely on a traditional population frame. Ipsos calibrates respondent characteristics to be representative of the U.S. population using standard procedures. The polls measure familiarity and favorability of 2020 Democratic presidential candidates among all Americans and among Democrats/Democratic-leaning independents.
Beyond Dots on a Map: Spatially Modeled Surfaces of DHS dataMEASURE Evaluation
This presentation was shared by Clara R. Burgert-Brucker, Pete Gething, Andy Tatem, and Tom Bird, all with The DHS Program, at the June 2016 MEASURE Evaluation GIS Working Group Meeting.
[DSC Europe 23] Alen Kisic - How can do Facebook data and machine learning al...DataScienceConferenc1
This talk explores the application of machine learning algorithms on the social network Facebook users' activity data to develop predictive models of election outcomes. The main goal is to compare their accuracy and reliability with the models obtained by traditional public opinion polls. Four different approaches to machine learning are used to develop predictive models: an approach based on: error, information, similarity, and probability. The most effective approach is revealed. Obtaining equally effective predictive models with faster and easier access to data makes a significant scientific and social contribution to research in this area.
This document analyzes potential new markets for SPC Direct in South Carolina. It identifies counties that meet criteria for household income over $50,000 and insured populations over 40,000 by analyzing census data. These counties are overlaid with SPC Direct's current market areas. The analysis reveals potential in York County due to its high income, population of over 40,000 in Rock Hill, and insured population of over 200,000. Horry County also shows potential. The document recommends SPC Direct investigate expanding to York County.
The document discusses Community Analyst, a web application that provides detailed demographic, economic, consumer behavior, and business data for analyzing small geographic areas like census blocks and tracts. It can be used to understand consumer preferences and spending patterns, identify areas of need or opportunity, and access current and forecasted data. The application includes maps, imagery, reports, and analytics to help users make better decisions regarding business development and community impact in McDonough, Georgia.
GIS is a discipline that heavily relies on data. In this presentation we highlight all the geospatial data sources for crime mapping.
Visit https://expertwritinghelp.com/gis-assignment-help/ for quality gis assignment aid
This document provides guidance for conducting a windshield survey and community assessment. It outlines steps to define the community being assessed, including describing the population, boundaries, location, and purpose of the assessment. It then discusses various methods for collecting and analyzing both existing and new data on the community's demographics, health indicators, assets, and areas for improvement through windshield surveys, participant observation, interviews, focus groups, and surveys.
This document provides an overview and comparison of three mapping tools - PolicyMap, Social Explorer, and OnTheMap - that can be used to map social and economic data. It outlines the key features of each tool, including the types of data available, geographic levels, visualization options, and how to download and export maps and data. Examples are given of how the tools can be used to map variables like poverty, age, and employment to answer specific questions about communities. The document also demonstrates how to perform analyses and interpret maps using these three tools.
A look at how Ragnar Research Partners was able to be so successful in the 2018 cycle, as well as the best opinion research practices heading into 2019 & beyond. This includes proper representation of cell phone-only households, weighting partisanship in every race based on previous Presidential Election results, and a rigorous, systematic, and fanatic devotion to the construction of proper stratification and sample frames.
1996 Northfield Township Survey Report, with Joint BOT-PC LetterJGNelson
1996 Northfield Township, Michigan, Survey with questions, results, interpretation, many public comments, full description of the Township Wide Process and full involvement of the citizenry used to select the Questions.
You will be working on this project for Modules 7 and 8. You must gowalthamcoretta
You will be working on this project for Modules 7 and 8. You must go out into your community to complete the windshield survey! This project cannot be completed by doing online research. For the paper, make sure interviews are cited as personal communication.
Defining the Community
Your community can be a pediatric, adolescence, young adults, adult, elderly or a combination.
Clearly delineate the following dimensions before starting the process of community assessment:
Describe the population that is being assessed?
What is/are the race(s) of this population within the community?
Are there boundaries of this group? If so, what are they?
Does this community exist within a certain city or county?
Are there general characteristics that separate this group from others?
Education levels, birth/death rates, age of deaths, insured/uninsured?
Where is this group located geographically…? Urban/rural?
Why is a community assessment being performed? What purpose will it serve?
How will information for the community assessment be collected?
Assessment
After the community has been defined, the next phase is assessment. The following items describe several resources and methods that can be used to gather and generate data. These items serve as a starting point for data collection. This is not an all-inclusive list of resources and methods that may be used when a community assessment is conducted.
The time frame for completion of the assessment may influence which methods are used. Nonetheless, these items should be reviewed to determine what information will be useful to collect about the community that is being assessed. It is not necessary to use all of these resources and methods; however, use of a variety of methods is helpful when one is exploring the needs of a community.
Data Gathering
(collecting information that already exists)
Demographics of the Community
When demographic data are collected, it is useful to collect data from a variety of levels so comparisons can be made.
If the population that is being assessed is located within a specific setting, it may be best to contact that agency to retrieve specific information about that population.
The following resources provide a broad overview of the demographics of a city, county, or state:
American Fact Finder
—Find population, housing, and economic and geographic data for your city based on U.S. Census data
State and County Quick Facts
—Easy access to facts about people, business, and geography, based on U.S. Census data
Obtain information about a specific city or county on these useful websites
www.epodunk.com
and
www.city-data.com
Information from Government Agencies
Healthy People 2020
—this resource is published by the U.S. Department of Health and Human Services. It identifies health improvement goals and objectives for the country to be reached by the year 2020
National Center for Health Statistics
—this agency is part of the Centers for Disease Control ...
Anecdotes about real life usage of Analytics - research done on Google, hence no claims on accuracy. Please use this as a directional insights into the applications and benefits.
Leveraging Interactive Maps, Administrative and Census Data to FInda nd Describe the Remaining Eligible for Coverage in the Health Insurance Marketplaces. Presentation by Brett Fried on August 11, 2015, at the Joint Statistical Meetings in Seattle, WA.
DemoReports provides concise demographic reports and mapping services to help clients with market research, site selection, and property investment decisions. Their reports offer current estimates and 5-year projections on population, income, households, and other key metrics for user-defined areas across the US. Clients can choose from various report types including executive summaries, full profiles, and custom trade area reports tailored to their specific location needs. DemoReports aims to save clients both time and money compared to compiling such market data themselves.
This document discusses business demographics and how they can provide strategic advantages for businesses. It explains that demographics can be used for applications like site selection, human resources planning, and target marketing. Consumer data on demographics, buying behavior, and media preferences can come from sources like the census, purchases, and surveys. The document emphasizes integrating different data sources, presenting information in an actionable way through simple charts and maps, and taking a demographic perspective to connect data to business decisions. It provides many examples and lists various public and private data sources that can be used.
Modeling Social Data, Lecture 2: Introduction to Countingjakehofman
The document is a lecture on counting and modeling social data given by Jake Hofman at Columbia University on January 27, 2017. It discusses why counting large datasets is important for social science questions but computationally challenging at large scales. It also covers counting at small to medium scales by loading a dataset into memory and splitting it into groups to compute statistics within each group.
Modeling Social Data, Lecture 2: Introduction to Counting
German_Final_Project
1. German1
Bassdrive Sessions SXSW 2015
Demographic Survey Analysis and Flyer Distribution Network
Johnnie German
Introduction
Bassdrive Radio and SUBstance Productions are both drum and bass music event
production companies. They put together a joint musical production this year during SXSW at
Dozen Street Bar in Austin, Texas on March 19, 2015. During the event, SUBstance Productions
conducted a survey to collect demographic and marketing information from their attendees at the
Bassdrive Sessions event. This analysis will focus on the results of this survey and determine
SUBstance Production’s marketing distribution network. The goal of this analysis is to reject the
null hypothesis of a homogenous distribution of attendees and an even distribution of
marketing/advertising reach. The results of this analysis will help Bassdrive Radio and
SUBstance Productions assess their demographic distribution in Texas. Furthermore, it will
determine their current marketing/advertising effectiveness and create a flyer distribution
network.
Geographic Concepts
The following geographic concepts will be utilized in this analysis. A cartographic model
will be used to join the survey data to geographic data to display the survey results
geographically. The cartographic model will allow SUBstance Productions to continuously add
data to the survey and display them geographically. Moreover, it will also join census data to
geographic data to display the target marketing demographics geographically. The demographic
details will be driven by the survey results and the selected attributes will be reflected in the
cartographic model. The purpose of this model is to stream line the data management and
manipulation flow while allowing for adjustments.
In addition to the cartographic model, this analysis will provide a marketing/advertising
distribution network for the geographic region that possesses the highest marketing potential for
the selected demographics. Distribution networks can be adjusted to evaluate effectiveness and
efficiency. Identified distribution networks will serve as a baseline for additional
marketing/advertising locations.
Data and Methodology
The utilized dataset includes survey data collected from event attendees on March 19,
2015 at a Bassdrive Sessions music event in Austin, Texas by SUBstance Promotions. The
survey contained questions on age, gender, zip code, how they heard about the event, and if they
listen to Bassdrive Radio. The event had a total of 266 attendees and 37 respondents. Survey
respondents comprised 14 percent of the total attendee population. The survey was administered
by of SUBstance Productions. The respondents were randomly selected and were given the
opportunity to win a free crew only t-shirt for their participation.
2. German2
The selection process changed during the course of the survey. The initial placement of
the survey by the front door was not successful as evidenced by limited responses. Therefore, the
survey was relocated to a more optimal location. Surveys were moved to an outside table located
by the pizza truck. This allowed the surveyor to approach candidates in a less intrusive scenario.
There were no duplicate responses. The demographic results for the survey are described in the
following graphs below.
0
5
10
15
20
25
30
35
40
45
50
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29
Age
Number of Males Surveyed
Male Age Distribution
Mean= 31 Range= 23-37
21
26
31
36
41
46
1 2 3 4 5 6 7 8
Age
Number of Females Surveyed
Female Age Distribution
Mean= 33 Range= 25-44
3. German3
Results demonstrate a male majority at 78 percent and a mean age of 31. Female
attendees were in the minority at 22 percent with a mean age of 33. These results show a
rejection of the null hypothesis with a stratified survey respondent population. A male majority
was expected before the survey. However, the mean age and age ranges were not as expected.
Both the age ranges and the mean age of both genders was higher/older than anticipated. These
results indicate a target age range of 21 to 44 years for both males and females. This range is
determined by the mean ages of male and female respondents and the lack of representation in
the 21-25 age range- two females and five males.
After determining the demographic results, the geographic data was analyzed to
determine the geographic location of respondents. The survey requested each respondent’s zip
code. This data will define the project area and give a geographical indication of where and how
far customers are willing to travel for an event. The survey called for a zip code due to ease of
data collection from the respondents. Each respondent’s zip code was associated to the county in
which it resides. One respondent was eliminated from the study due to their outlying geographic
location-Oklahoma. This brings the total respondent population to 36. The geographic data
results are show in the graph below.
8%
3%
3%
5%
6%
3%
56%
8%
8%
Survey Respondents by County
Dallas Fort Bend Harris Hays
Nueces Travis Waller Williamson
4. German4
The majority of respondents reside in the Austin area. Travis, Hays, and Williamson
Counties account for seventy percent of respondents counties of residence. These areas will be
the first areas to investigate for further market value. But for the purpose of this analysis Travis
County will be the main focus of study.
The survey results will be compared to the 2013 Census five year prediction population
data on gender and age for Travis, Hays, Bexar and Williamson Counties. The age range for both
males and females will be 21-44 years. This comparison will determine the areas within Travis
County that reflect the target market. This data will be joined with a county shape file to display
them geographically. The cartographic model will also incorporate these tasks to stream line the
data manipulation flow and augment the geographic displays of these data sets. The census data
was collected at the sub-county level. This level was chosen due to its detail beyond the county
level. The census tract and block levels where determined to be in too great detail for the purpose
of this analysis.
The last section of the survey data to be analyzed is the advertising reach. Each
respondent was asked how they heard about the event. They were given the option of circling
one of these: Facebook, flyer, word of mouth, or other. The other response gave room for
respondents to write in their submissions. The other responses where mostly a form of word of
mouth or the Bassdrive Chatroom on Bassdrive.com. These responses where adjusted in the
totals for analysis. The results are shown in the graph below.
47%
3%
25%
25%
Advertising Reach
Face Book Flyer Bassdrive Chat Room Word of Mouth
5. German5
The results show that Facebook has the most effective reach for advertising, and flyers
are the least effective. This indicates that flyer based advertising needs adjusting. The flyers for
this event were distributed person to person and at flyer friendly locations around the Austin
area. However, this distribution method showed marginal results. Therefore, a new distribution
tactic is needed.
Analysis
This analysis has rejected the null hypothesis of a homogenous distribution of attendees
and an even distribution of marketing/advertising reach. It has defined the demographic areas in
Travis County that match the target market of SUBstance Productions. Furthermore, a
cartographic model was created to streamline the workflow of combining the census data, survey
data, and shape files into a workable format for further analysis. In addition to the model, a flyer
distribution network was created to facilitate the flyer distribution in the target market area.
The cartographic model automates the creation of the necessary geographic data elements
for this analysis. This model joins the census data to a sub-county shape file, join the survey data
to a county shape file, and then makes a series of attribute selections to generate the data needed
for analysis. After selections and joins are made, new feature layers are produced for display in
GIS software. The model is structured to allow for ease of use by using four data files for
execution. The four data files needed are a county shape file, county sub-division shape file,
survey excel spreadsheet, and census data excel spreadsheet. The two excel files should be
preformatted for use in ArcGIS. It is highly recommended that all projections on shape files be
done prior to executing the model. Performing the projection function in the model causes join
errors. However, if no projection is needed for analysis, use the coordinate system associated
with the county shape files. This model uses the North American Datum 1983 coordinate system.
(See model below)
6. German6
The top section of the model creates the cartographic layers from the survey data and the
county shape file. This section of the model generates the survey areas and study areas. The
lower section of the model creates the cartographic layers from the census data and the county
sub-division shape files. This portion of the model generates the census survey areas and the
target market area. (See maps on pages 7 and 8)
Travis County was chosen as the target area for marketing. Specifically, the lower
southwestern quadrant of the census sub-division or the Austin CCD area. This census sub-
division has the highest 21-44 year old population at 353,136. It is the focus of the flyer
distribution network due to the high number of target demographic candidates. (See maps on
pages 9 and 10) The flyer distribution network consists of the Amy’s Ice Cream locations within
the target market area. There are nine locations within this area. Locations two and three on the
network are less than two miles from each other and are overlapping on the map. Amy’s Ice
Cream locations where chosen for factors other than location. This business allows for the
advertising of musical events in the Austin area, and have been used in the past by SUBstance
Productions. This network distribution will be tested this summer for the next SUBstance event.
The use of this network for their next event will test its effectiveness and marketing impact. It
covers 35.2 miles and takes 2 hours and forty minutes- this network does not include impedance
such as traffic and speed limits. Each stop allows for ten minutes to park and replenish flyers.
But at some point the delivery driver will stop for ice cream. So, three hours is more realistic!
(See map page 11)
Conclusion
This analysis rejects the null hypothesis of a homogenous event population and an
even advertising reach. It defines the target market area of Travis County. This conclusion is
based on the Bassdrive Sessions SXSW 2015 Survey results. Furthermore, it includes a model to
facilitate the additional analysis of future surveys by SUBstance Productions. In addition to the
model, this analysis provides a flyer distribution network for the Austin CCD census sub-
division area. These tools will help SUBstance Productions and Bassdrive Radio make better
market predictions for future events. Moreover, it will allow them to track the effectiveness of
flyer distribution within the target market area. This analysis illustrates the areas that SUBstance
Productions needs improvement. For example, the age range of 21-25 is under represented in
their market share. This is an area that needs further investigation to maximize attendance at their
events. Further surveys of their market share will produce better analysis, and allow for more
precise population enumeration and market predictions.