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Read about Google maps based on this link
https://techcrunch.com/2017/03/20/google-maps-lets...
And synopsize in two paragraphs.
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Synopsis about Google maps
With the Growing technological usage and implication, the name of Google INC always
placed on the top node. After the sheer success of the Global Processing System (GPS), the
Google has now come up with new characteristics...
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North Carolina State University Creation of List Type Data Project
Set up your project with the given starting templates. The files should compile and run, but either no tests willbe run, o ...
North Carolina State University Creation of List Type Data Project
Set up your project with the given starting templates. The files should compile and run, but either no tests willbe run, or tests will run but be failing.2. For this project, start by uncommenting the first TEST_CASE in the assg07-tests.cpp file. These are the unittests to test the functionality of getSize() member function.3. Add the correct function prototype for the getSize() member function to the ListType class in theListType.hpp header file. The prototype consists of the name of the function, its input parameters and theirtypes, and the return value of the function.4. Add a implementation of the getSize() member function to the ListType.cpp implementation file. Thefunction should have the same signature as the prototype you gave in the header file. Documentation for the1function has not been given for you this time, so add documentation of your function first. Don’t forget toindicate that this function is a member of the ListType class.5. Your code should compile and run now. Make sure after adding the function prototype and stub your codecompiles and runs. However, your unit tests might be failing initially.6. Incrementally implement the functionality of your getSize() function (if needed). You should try to add nomore than 2 or 3 lines of code, and then make sure your program still compiles and runs. Start by adding codeto get the first failing test to pass. Then once that test passes, move on to the next failing tests until you haveall tests passing. If you write something that causes a previously passing test to fail, you should stop and figureout why, and either fix it so that the original test still passes, or remove what you did and try a new approach.7. Once you have the getSize() function implemented and all unit tests passing, you should then move on to theother functions in the order suggested. Some member functions use previous ones in this assignment, so dothem in the order given for you in the tasks below.
CUMS Well Novels Bigram Networks Project Overview Report
Create notwork graph of bigrams in a Wells' novels. Do not include stop words. Make the links darker the more common the b ...
CUMS Well Novels Bigram Networks Project Overview Report
Create notwork graph of bigrams in a Wells' novels. Do not include stop words. Make the links darker the more common the bigram is. Use arrows at the end of the line toward the second word. Colorize the central node. Show a chart and your code with line-by-line comments. Create a count_bigrams function to reuse for counting bigrams in other texts. Comment your code line by line. Create a visualize_bigrams function to reuse for visualizing network graphs of other texts. Comment your code line by line. Show an example network graph.Please add your commentary, in your own words, on what the graphs are showing. Related materials and code for references can be found here: https://www.tidytextmining.com/ngrams.htmlI need the rmd file so that I can execute the code on my mac and pdf of the output you executed. Always repeat the question you are answering. Thank you!
logistic regression please see below in the description
The entire assignment must be done in SPSS. If you know how to use SPSS running the model should not take very long! The p ...
logistic regression please see below in the description
The entire assignment must be done in SPSS. If you know how to use SPSS running the model should not take very long! The purpose of this assignment is to perform logistic regression,
interpret the results, and analyze whether or not the information
generated can be used to address a specific business problem.For this assignment, you will use the "Adult Incomes" data set from the Topic Materials.The marketing department is interested in creating advertising
directed primarily at high-income individuals, and they it has come to
you seeking very specific customer data. The director of marketing
explains that individuals with large amounts of disposable income tend
to purchase luxury items. Therefore, understanding what predictors are
correlated with high income can be very useful for a marketing
department because it can help it tailor messages to the high-earning
cohort. For example, individuals that earn capital gains tend to be
high-income earners, and advertisements for luxury items can be targeted
toward them on realty or investment websites.As a member of the analytics team, you have been asked to determine a
list of predictors and their relative impact on the likelihood of an
individual being a high-income earner. Individuals earning more than
$50,000 annually are considered high income earners. In your summary,
include discussion of how the marketing department can use your results
to devise a smart advertising strategy.Question 1: Partition the data to create a
training data set (70%) and test data set (30%). With a cut-off of 0.5,
run logistic regression with "Income" as the target and the following
predictors: "Capital_Gain," "Hours_Per_Week," "Sex," "Age," and "Race."
Show the model summary and variables in the equation. Which probability
is being modeled? Include the "Model Summary" and "Variables in the
Equation" outputs when submitting the answer.Question 2: Is "Race" a statistically
significant predictor when modeling whether incomes are greater than
$50,000 annually? Explain your answer. Use a 5% significance level.Question 3: Rerun the model without "Race"
while still using a cut-off of 0.5. Show the model summary and variables
in the equation. Write the equation showing the probability as a
function of the predictors. Interpret the meaning of the coefficients
for "Age" and "Sex." Include the "Model Summary" and "Variables in the
Equation" outputs when submitting the answer.Question 4: Given that approximately 26% of
the individuals in the data have incomes greater than $50,000 annually,
rerun the model in Question 3 with a cut-off of 0.26. Show the
classification tables and percent correct for each predicted outcome
(>50K and <=50K) for the training data and test data. Why is the
percent that is correct usually lower when the test data are used?
Include the "Training Classification Table" and "Test Classification
Table" outputs when submitting the answer.Question 5: Consider the following
individual: Age=30, Sex=Female, Hours_Per_Week=40, Capital_Gain=$0.
Based on the logistic model from Question 4, what is the probability of
this individual earning more than $50,000 annually? What would be the
predicted class for this individual? Explain your answer.Question 6: Based upon your analysis, what
are the predictors that can determine whether or not an individual would
be considered a high-income earner? Discuss how the marketing
department can use this information in formulating its advertising
strategy? Present your findings in the form of a 250-word executive
summary that includes relevant data, charts, and tables to validate the
conclusions presented.General Requirements:Submit the answers to Questions 1-5 and the executive summary as Word documents. The professor would like us to show how P=1/(1+e^-())- works into the work by plugging in our numbers from Variables in the Equation chart and Classification table created in SPSS modeler. (He explained this concept in class and I am just not grasping how these numbers work into the equation and how this equation works into the model! Hopefully after studying your completed work on this assignment I will be able to make better since of it!) He wants all charts from SPSS to be loaded into homework. Thanks for your help!
Financial Statement Analysis
CT14.8 René Kelly, president of RL Industries, wishes to issue a press release to bolster her company's image and maybe e ...
Financial Statement Analysis
CT14.8 René Kelly, president of RL Industries, wishes to issue a press release to bolster her company's image and maybe even its stock price, which has been gradually falling. As controller, you have been asked to provide a list of 20 financial ratios and other operating statistics for RL Industries' first-quarter financials and operations.Two days after you provide the data requested, Erin Lourdes, the public relations director of RL, asks you to prove the accuracy of the financial and operating data contained in the press release written by the president and edited by Erin. In the news release, the president highlights the sales increase of 25% over last year's first quarter and the positive change in the current ratio from 1.5:1 last year to 3:1 this year. She also emphasizes that production was up 50% over the prior year's first quarter.You note that the release contains only positive or improved ratios and none of the negative or deteriorated ratios. For instance, no mention is made that the debt to assets ratio has increased from 35% to 55%, that inventories are up 89%, and that although the current ratio improved, the accounts receivable turnover fell from 12 to 9. Nor is there any mention that the reported profit for the quarter would have been a loss had not the estimated lives of RL plant and machinery been increased by 30%. Erin emphasized, “The Pres wants this release by early this afternoon.”Discussion Topic 1: EthicsRead Ethics Case CT14.8 and address the following:Who are the stakeholders in this situation?Is there anything unethical in the president’s actions?Should you as controller remain silent? Does Erin have any responsibility?add reference
Colorado State University Retail Clothing Store SAS Report
Before you can help me you will need to download Sas University Edition. I have attached the document that explains how to ...
Colorado State University Retail Clothing Store SAS Report
Before you can help me you will need to download Sas University Edition. I have attached the document that explains how to install it.A retail clothing store wishes to increase sales while maximizing
profits. Your task is to analyze a sample of their sales data. A link to
the Clothing_Store.csv dataset (I have attached it). You must determine if any of
the variables in the dataset have a strong relationship with the sales
amount and if any of the variables could serve as predictor variables
for future increased sales. After conducting the descriptive and
predictive analysis, you are expected to recommend a course of action
based your analysis of the existing dataset. That course of action could
range from needing additional data for an adequate level of analysis to
concrete steps for increasing sales while maximizing profits.Your deliverables for this assignment include a report containing the following:Business question(s)Hypotheses (alternate and Null)Descriptive statistics test results: charts, graphs, and tables including a discussion of your findingsPredictive statistics test results: charts, graphs, and tables including a discussion of your findingsRecommendations for further action
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North Carolina State University Creation of List Type Data Project
Set up your project with the given starting templates. The files should compile and run, but either no tests willbe run, o ...
North Carolina State University Creation of List Type Data Project
Set up your project with the given starting templates. The files should compile and run, but either no tests willbe run, or tests will run but be failing.2. For this project, start by uncommenting the first TEST_CASE in the assg07-tests.cpp file. These are the unittests to test the functionality of getSize() member function.3. Add the correct function prototype for the getSize() member function to the ListType class in theListType.hpp header file. The prototype consists of the name of the function, its input parameters and theirtypes, and the return value of the function.4. Add a implementation of the getSize() member function to the ListType.cpp implementation file. Thefunction should have the same signature as the prototype you gave in the header file. Documentation for the1function has not been given for you this time, so add documentation of your function first. Don’t forget toindicate that this function is a member of the ListType class.5. Your code should compile and run now. Make sure after adding the function prototype and stub your codecompiles and runs. However, your unit tests might be failing initially.6. Incrementally implement the functionality of your getSize() function (if needed). You should try to add nomore than 2 or 3 lines of code, and then make sure your program still compiles and runs. Start by adding codeto get the first failing test to pass. Then once that test passes, move on to the next failing tests until you haveall tests passing. If you write something that causes a previously passing test to fail, you should stop and figureout why, and either fix it so that the original test still passes, or remove what you did and try a new approach.7. Once you have the getSize() function implemented and all unit tests passing, you should then move on to theother functions in the order suggested. Some member functions use previous ones in this assignment, so dothem in the order given for you in the tasks below.
CUMS Well Novels Bigram Networks Project Overview Report
Create notwork graph of bigrams in a Wells' novels. Do not include stop words. Make the links darker the more common the b ...
CUMS Well Novels Bigram Networks Project Overview Report
Create notwork graph of bigrams in a Wells' novels. Do not include stop words. Make the links darker the more common the bigram is. Use arrows at the end of the line toward the second word. Colorize the central node. Show a chart and your code with line-by-line comments. Create a count_bigrams function to reuse for counting bigrams in other texts. Comment your code line by line. Create a visualize_bigrams function to reuse for visualizing network graphs of other texts. Comment your code line by line. Show an example network graph.Please add your commentary, in your own words, on what the graphs are showing. Related materials and code for references can be found here: https://www.tidytextmining.com/ngrams.htmlI need the rmd file so that I can execute the code on my mac and pdf of the output you executed. Always repeat the question you are answering. Thank you!
logistic regression please see below in the description
The entire assignment must be done in SPSS. If you know how to use SPSS running the model should not take very long! The p ...
logistic regression please see below in the description
The entire assignment must be done in SPSS. If you know how to use SPSS running the model should not take very long! The purpose of this assignment is to perform logistic regression,
interpret the results, and analyze whether or not the information
generated can be used to address a specific business problem.For this assignment, you will use the "Adult Incomes" data set from the Topic Materials.The marketing department is interested in creating advertising
directed primarily at high-income individuals, and they it has come to
you seeking very specific customer data. The director of marketing
explains that individuals with large amounts of disposable income tend
to purchase luxury items. Therefore, understanding what predictors are
correlated with high income can be very useful for a marketing
department because it can help it tailor messages to the high-earning
cohort. For example, individuals that earn capital gains tend to be
high-income earners, and advertisements for luxury items can be targeted
toward them on realty or investment websites.As a member of the analytics team, you have been asked to determine a
list of predictors and their relative impact on the likelihood of an
individual being a high-income earner. Individuals earning more than
$50,000 annually are considered high income earners. In your summary,
include discussion of how the marketing department can use your results
to devise a smart advertising strategy.Question 1: Partition the data to create a
training data set (70%) and test data set (30%). With a cut-off of 0.5,
run logistic regression with "Income" as the target and the following
predictors: "Capital_Gain," "Hours_Per_Week," "Sex," "Age," and "Race."
Show the model summary and variables in the equation. Which probability
is being modeled? Include the "Model Summary" and "Variables in the
Equation" outputs when submitting the answer.Question 2: Is "Race" a statistically
significant predictor when modeling whether incomes are greater than
$50,000 annually? Explain your answer. Use a 5% significance level.Question 3: Rerun the model without "Race"
while still using a cut-off of 0.5. Show the model summary and variables
in the equation. Write the equation showing the probability as a
function of the predictors. Interpret the meaning of the coefficients
for "Age" and "Sex." Include the "Model Summary" and "Variables in the
Equation" outputs when submitting the answer.Question 4: Given that approximately 26% of
the individuals in the data have incomes greater than $50,000 annually,
rerun the model in Question 3 with a cut-off of 0.26. Show the
classification tables and percent correct for each predicted outcome
(>50K and <=50K) for the training data and test data. Why is the
percent that is correct usually lower when the test data are used?
Include the "Training Classification Table" and "Test Classification
Table" outputs when submitting the answer.Question 5: Consider the following
individual: Age=30, Sex=Female, Hours_Per_Week=40, Capital_Gain=$0.
Based on the logistic model from Question 4, what is the probability of
this individual earning more than $50,000 annually? What would be the
predicted class for this individual? Explain your answer.Question 6: Based upon your analysis, what
are the predictors that can determine whether or not an individual would
be considered a high-income earner? Discuss how the marketing
department can use this information in formulating its advertising
strategy? Present your findings in the form of a 250-word executive
summary that includes relevant data, charts, and tables to validate the
conclusions presented.General Requirements:Submit the answers to Questions 1-5 and the executive summary as Word documents. The professor would like us to show how P=1/(1+e^-())- works into the work by plugging in our numbers from Variables in the Equation chart and Classification table created in SPSS modeler. (He explained this concept in class and I am just not grasping how these numbers work into the equation and how this equation works into the model! Hopefully after studying your completed work on this assignment I will be able to make better since of it!) He wants all charts from SPSS to be loaded into homework. Thanks for your help!
Financial Statement Analysis
CT14.8 René Kelly, president of RL Industries, wishes to issue a press release to bolster her company's image and maybe e ...
Financial Statement Analysis
CT14.8 René Kelly, president of RL Industries, wishes to issue a press release to bolster her company's image and maybe even its stock price, which has been gradually falling. As controller, you have been asked to provide a list of 20 financial ratios and other operating statistics for RL Industries' first-quarter financials and operations.Two days after you provide the data requested, Erin Lourdes, the public relations director of RL, asks you to prove the accuracy of the financial and operating data contained in the press release written by the president and edited by Erin. In the news release, the president highlights the sales increase of 25% over last year's first quarter and the positive change in the current ratio from 1.5:1 last year to 3:1 this year. She also emphasizes that production was up 50% over the prior year's first quarter.You note that the release contains only positive or improved ratios and none of the negative or deteriorated ratios. For instance, no mention is made that the debt to assets ratio has increased from 35% to 55%, that inventories are up 89%, and that although the current ratio improved, the accounts receivable turnover fell from 12 to 9. Nor is there any mention that the reported profit for the quarter would have been a loss had not the estimated lives of RL plant and machinery been increased by 30%. Erin emphasized, “The Pres wants this release by early this afternoon.”Discussion Topic 1: EthicsRead Ethics Case CT14.8 and address the following:Who are the stakeholders in this situation?Is there anything unethical in the president’s actions?Should you as controller remain silent? Does Erin have any responsibility?add reference
Colorado State University Retail Clothing Store SAS Report
Before you can help me you will need to download Sas University Edition. I have attached the document that explains how to ...
Colorado State University Retail Clothing Store SAS Report
Before you can help me you will need to download Sas University Edition. I have attached the document that explains how to install it.A retail clothing store wishes to increase sales while maximizing
profits. Your task is to analyze a sample of their sales data. A link to
the Clothing_Store.csv dataset (I have attached it). You must determine if any of
the variables in the dataset have a strong relationship with the sales
amount and if any of the variables could serve as predictor variables
for future increased sales. After conducting the descriptive and
predictive analysis, you are expected to recommend a course of action
based your analysis of the existing dataset. That course of action could
range from needing additional data for an adequate level of analysis to
concrete steps for increasing sales while maximizing profits.Your deliverables for this assignment include a report containing the following:Business question(s)Hypotheses (alternate and Null)Descriptive statistics test results: charts, graphs, and tables including a discussion of your findingsPredictive statistics test results: charts, graphs, and tables including a discussion of your findingsRecommendations for further action
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