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###### BUS 470 Benchmark for Data Collection

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Course

BUS470

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###### SES09711 Dissertation and Statistics

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Course

SES09711

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###### ISYE3030-Basic Statistical Methods

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Course

ISYE3030

Type

Programming

Subject

Statistics

University

Georgia Institute of Technology

### Questions:

1.1 Provide an introduction that explains the problem statement you are addressing. Why should I be interested in this? Discuss your current proposed approach/analytic technique you think will address (fully or partially) this problem.Explain how your analysis will help the consumer of your analysis.

2.1 All packages used are loaded upfront so the reader knows which are required to replicate the analysis. Very brief explanation is provided regarding the purpose of each package (there are over 10,000 packages, don't assume that I know why you loaded each package).

3.1 Data importing and cleaning steps are explained in the text (tell me why you are doing the data cleaning activities that you perform) and follow a logical process. Once your data is clean, show what the final data set looks like. However, do not print off a data frame with 100+ rows; show me the data in the most condensed form possible.

3.5 Provide summary information about the variables of concern in your cleaned data set Do not just print off a bunch of code chunks with str(), summary(), etc. Rather, provide me with a consolidated explanation, either with a table that provides summary info for each variable or a nicely written summary paragraph with Mine code.

4.1 Uncover new information in the data that is not self-evident (i.e. do not just plot the data as it is; rather, slice and dice the data in different ways, create new variables, or join separate data frames to create new summary information).
4.2 Provide findings in the form of plots and tables. Show me you can display findings in different ways.
4.3 Graph(s) are carefully tuned for desired purpose. One graph illustrates one primary point and is appropriately formatted (plot and axis titles, legend if necessary, scales are appropriate, appropriate geoms used, etc.).

4.4 Table(s) carefully constructed to make it easy to perform important comparisons. Careful styling highlights important features. Size of table is appropriate. 4.5 Insights obtained from the analysis are thoroughly, yet succinctly, explained. Easy to see and understand the interesting findings that you uncovered.

### INF30004 Business Intelligence and Data Visualisation

Solved by qualified expert

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## More INF30004 INF30004 Business Intelligence and Data Visualisation: Questions & Answers

Q

### Information Technology

1.    What is the new technology?2.    What does it do and what are the special features it has?3.    When is it coming out in the market and how much will it cost?4.    What industry will the new technology affect? (Medical, agricultural, ...

Q

### BUS 470 Benchmark for Data Collection

Task: Class, This assignment must be submitted in MS Word.   I will not accept multiple submissions under a single assignment tab.   Your Excel work must be copied into an MS Word document.   This is how the topic 2 assignment will take shape: It is in three sections Internal existing data ...

Q

### SES09711 Dissertation and Statistics

Task: Objective: To understand how to research and write a scientific dissertation. You will research and present a dissertation on a topic of your choice using two sources of information: Peer reviewed scientific journals containing the most recent (last 10-15 years) primary literature. Primar ...

Q

### ISYE3030-Basic Statistical Methods

Questions: 1. Suppose you are trying to estimate the proportion of all US adults who support the idea of same–sex marriages. You randomly select 1200 adults and ask them their opinion (support/object/no opinion). For each of the following (i-iv), choose the label (a, b, c, or d) that best des ...

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