Exploratory Data Analysis (830 words)

Part A: Exploratory Data Analysis
Preparation
• Open the files for the course project and the data set.
• For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use Excel as much as possible, explaining what the results reveal. Some of the following graphs may be helpful: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, the measures of dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use Excel as appropriate, and explain what the results mean.
• Analyze the connections or relationships between the variables. There are ten possible pairings of two variables. Use graphical as well as numerical summary measures. Explain the results of the analysis. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.
Report Requirements
• From the variable analysis above, provide the analysis and interpretation for three individual variables. This would include no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), the shapes of the distributions for quantitative variables, and two or three sentences of interpretation.
• For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one pairing must include a qualitative variable and at least one pairing must not include a qualitative variable.
• Prepare the report in Microsoft Word, integrating graphs and tables with text explanations and interpretations. Be sure to include graphical and numerical back up for the explanations and interpretations. Be selective in what is included in the report to meet the requirements of the report without extraneous information.

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1. Introduction
This brief report identifies and analyses five variables in a company. Namely those variables are; Sales, Calls, Time, Years and Type. All of these variables are linked together as independent and dependent variables. Sales is identified as the dependent variables and the rest are identified as independent variables.
This analysis identifies different graphical and numerical representations for individual variables and afterwards it identified the relationship between variables by pairing those. These relationships can be used to gain insights about these variables.
2. Analysis of Sales Variable
Sales variable is identified as the dependent variable in the variable analysis and it identifies the number of sales made within a week. Also, this variable can be identified as a quantitative variable.
This can be identified...