This article discusses the evaluation criteria for financial reports and how Wesfarmers Annual Report, 2018 adheres to them. It covers topics such as numbers, graphics, layout, labelling, graph reference, effective use of variables, and more.
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Running head: FOUNDATION SKILLS IN DATA ANALYSIS Foundation Skills in Data Analysis Name of the Student: Name of the University: Authors Note:
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2FOUNDATION SKILLS IN DATA ANALYSIS Table of Contents Part A: Evaluation Criteria Development..............................................................................3 Part B: Evaluation of Wesfarmers Annual Report, 2018.......................................................5
3FOUNDATION SKILLS IN DATA ANALYSIS Part A: Evaluation Criteria Development The content of the report and formatting aids in better understanding of various results and evaluations. Therefore, the use of certain visualisation is conducive for knowing about strategy precedence, performance and financial position of the company. Some of the most noteworthy evaluation criteria in any financial report can include the following components: 1.Numbers-The representation of different types of statistical information are done with the use of radar chart, pie chart, Bar graph and line graph 2.Graphics-The graphical data representation comprises of histograms, scatter charts, line graphs and bar charts. The rational for this is due to better understanding of information. For instance, pictorial graph is essential for improving communication. 3.Layout-This refers to integration of information in form of pictures, colours and several other vital elements which is appealing to the users of the report. 4.Labelling-Labelling criteria is evident with the use of pictures, pointers and charts for better understanding of the reporting. This also includes line of trends, chart title and axis. 5.Graph reference-This is conducive for better referencing of information in form of plot area by positioning the Y axis and x-axis, titles and gridlines for differentiating the overall information. 6.Effective use of variables-The graphical representation of the data is necessary for defining the variables at each axis and in accessing of the information with ease 7.Specific range information-The inclusion of data requires certain range of information which can include upper and lower limits along with cross-sectional or longitudinal type of data.
4FOUNDATION SKILLS IN DATA ANALYSIS 8.Background in design-This refers to the adoption of a specific format which is appealing and comforting to the eyes of the readers so that they are able to hold the interest in reading the information. 9.Line graph-This is considered helpful for assessment of trends at specific time period and equal intervals. It is also important for comparing information at various stages. 10.Keys-This particular information can be depicted with colourful styles of line and shades. For instance, illustrations are done with the inclusion of keys for better understanding. 11.Positioning-The application of illustrations needs to be cross checked with the appropriate notes. This is often done with input of graph in one page and adequate numbering on the other. 12.Scaling-The application of this information is facilitated with qualitative and quantitative techniques for better representation of practical information. Additionally, different set of data may be useful for comparison based on scaling. 13.Presentation and fonts-The use of forms and presentability of information is depicted to be useful for better understanding of information. For example, company like this Wesfarmers have used colour fonts and bold texts for better presentation of information. 14.Process of encoding-The encoding process often refers to use of financial data such as numerical figures, replies and code for maintaining the straightforwardness of graphical representation. 15.Customisation-The customisation of information needs to be done by focusing on key informational aspect which is useful for maintaining overall satisfaction of the report. 16.Non-financial and financial analysts-These analyses along with visual representation provides better understanding of financial report to the users.
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5FOUNDATION SKILLS IN DATA ANALYSIS 17.Integration of data-Data integration is a key aspect in reporting. The integration of data in form of graphs and charts is not only appealing but also necessary for outlining significant facts and figures in the financial report. 18.Appropriateness of the graphical representation-The inclusion of complexity with data and numbers needs to be presented in a different manner. For example, in various stages of reporting several companies often use pie chart and Gantt chart. 19.Information Association-The information Association relates to those concepts where a graph or chart may have two different styles for presentation of any information. This is often seen to be conducive for investigation for particular part. Generally, using of shades in data is useful for information Association. Furthermore, population and age can be presented with the use of bar or charts by incorporating different shades. 20.Geometric assertions-The previous studies have inferred that observations are often driven with curving properties.These are inclusive of the use of contour framework which helps in decrypting complex information into multiple units with the assistance of visual properties namely orientation, location and size. Part B: Evaluation of Wesfarmers Annual Report, 2018 The use of graphs in the report is associated with“background, design, sophistication and style”(Criteria no.8). This criterion further refers tothe adoption of a specific format which is appealing and comforting to the eyes of the readers so that they are able to hold the interest in reading the information.The incorporation of such an information is considered with having a visually appealing impact in the mind of the readers. The integration of varied range of graphs can be clearly identified with the use of“vertical bar graph, horizontal bar graph, stacked bar
6FOUNDATION SKILLS IN DATA ANALYSIS graph, closed bar graph doughnut chart, line graph and pie chart”.The application of some of the information can be also discerned with the use of graphs by the company. The overall reporting has been evident with the application of“sharp and edgy contours (criteria 20)”. Figure: Wesfarmers using Doughnut Chart for Performance Review The above information is related to value creation and wealth creation by the company. Therefore, the relevant criteria are such as“color, fonts, graphics and layout (criteria 2, 3 and 13)”is related to mixing of different types of colors in the doughnut chart. Moreover, the doughnut in the outside is consisting of a different shade than the rest of the figure. The use of shade white and black has been useful in identifying wealth creation followed by another doughnut chart which has used use of green. The application of these doughnut chart also acts as the symbol of scaling which is directly in compliance with criteria 12. Therefore, the company has met the quantitative and qualitative numeric aspect of data for visual representation in the individual categories.
7FOUNDATION SKILLS IN DATA ANALYSIS Figure 2: Yearly Review of Wesfarmers performance The figure shown above clearly suggests the use of colour green which is directly in relation to criteria 13 of the report. The use of the above figure has further shown the “significance of graphics”.This component is directly associated to be adhering with criteria one, criteria two criteria three. The use of effectiveness of variables can be also seen with the compliance of criteria six. The positioning of column/bar charts are further stated to criteria 11 and criteria 17. Therefore, the users of the report can directly extract and information from the figures to analyze. The variations in the reporting can be directly checked from the graphical
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8FOUNDATION SKILLS IN DATA ANALYSIS representation of information. Similarly,the application of illustrations needs to be cross checked with the appropriate notes. Figure 3:Illustration of Green House Gas Emissions of Wesfarmers The graph shown above represents to changes in numbers in terms of greenhouse emissions. The use of the information clearly relates to with the use of Bar graph with histogram which is directly relevant to the discussions of criteria one. This is also evident withthe application of graphical data as it comprises of comprises of histograms and bar charts. The rational for this is due to better understanding of information. The adherence to the criteria two is seen with the graphical data representation comprising of histograms, line
9FOUNDATION SKILLS IN DATA ANALYSIS graphs and bar charts. The rational for this is due to better understanding of information. For instance, pictorial graph is essential for improving communication. Figure 4: Representation of Operating and financial information The figure illustrated above comprises of combination of charts, line charts, graphs and numbers. This is directly relevant to the use of criteria one and criteria two mentioned in the first section. We can clearly infer that criteria four has not been met as there is vagueness in the mind of users for non-presence of any label. It can be clearly inferred that the use of language sand bar
10FOUNDATION SKILLS IN DATA ANALYSIS charts has appropriatekeys.This factor can be directly referred as“debt maturity profile” which is represented with“grey color”and that“green color”is used to represent capital market.The line charts have also specified about the market trends related to stock prices. Figure 5: Representation of Segmental information in the Wesfarmers Annual report 2018 The doughnut chart is presented above can be seen to be symbolic withscaling and keys which can be clearly inferred with the use of different labels thereby acknowledging criteria 4, 10 and 12. Labelling criteria (criteria) in this case is evident with the use of pictures, pointers and charts for better understanding of the reporting. This particular information is also evident with colourful styles of line and shades. For instance, illustrations are done with the inclusion of different shades in the pie chart for better understanding. The application of this information is facilitated with qualitative and quantitative techniques for better representation of practical information. Furthermore, the application of coding process in the doughnut diagrams have made it easier for the users to interpret.
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11FOUNDATION SKILLS IN DATA ANALYSIS Figure 6: Total revenue representation The variations in the figure 11 acts as direct contrast of revenue which is evident under criteria 4, 10 and 12. Similarly,Labelling criteria is evident with the use of pictures, pointers and charts for better understanding of the reporting. The company has decided to use trends, chart title and axis. This particular information can be depicted with colourful styles of line and shades. For instance, illustrations are done with the inclusion of keys for better understanding. Additionally, this kind of data may be useful for comparison based on scaling. Lastly, the application of this information is facilitated with qualitative and quantitative techniques for better representation of practical information.
12FOUNDATION SKILLS IN DATA ANALYSIS Figure 7: Representation of segmental occupancy related data The figure shown above have made use of differentshades/colors in the stacked chart with specific range of data set. This is directly in compliance with criteria three and seven. Moreover, the use of keys and graph have been conducive for the readers in having a bitter understandability of the information. The graphs do not contain X and Y axis thereby leading to confusion (criteria five). The adherence to criteria 11 is also evident asthe application of illustrations needs to be cross checked with the appropriate notes. This is done with input of graph in one page and adequate numbering on the other. Figure 8: Aging of trade receivables representation The use of“half doughnut” directly relates tocriteria of customization(criteria 15). The customization of information needs to be done by focusing on key informational aspect which is useful for maintaining overall satisfaction of the report. The company has clearly customized the pie charts according to its needs. This is due to the fact that the focus has been put on date are given below three months, over 6 months and 6 months. This is also complying with criteria 20 which relates toGeometrical Determinants.These are inclusive of the use of contour framework
13FOUNDATION SKILLS IN DATA ANALYSIS which helps in decrypting complex information into multiple units with the assistance of visual properties namely orientation, location and size. Figure 9: Operating lease commitment representation The compliance of criteria 16 is evident in the above diagram as it has use non-financial information.The relevance of such a graphical information can be traced with the use of criteria 18 which stated about incorporation of double Stack vertical bar graphs and eight also suggests the incorporation of criteria 19 where the information Association relates to those concepts where a graph or chart may have two different styles for presentation of any information. Figure 10: Key financial indicators
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14FOUNDATION SKILLS IN DATA ANALYSIS In a similar manner the representation of key financial indicators relates to a“process of encoding (criteria 14)”.This is directly relevant withthe encoding process often refers to use of financial data such as numbers, responses and code for maintaining the straightforwardness of graphical representation. The use of criteria 15 is also seen to be evident in this aspect. The customisation of information needs to be done by focusing on key informational aspect which is useful for maintaining overall satisfaction of the report. Figure 11: Graphical illustration of greenhouse emission The above diagram clearly shows the use of criteria 17 as this is evident with the criteria “integration of the information”.Such information can be considered with bar graph and line
15FOUNDATION SKILLS IN DATA ANALYSIS graph. Data integration is a key aspect in reporting. The integration of data in form of graphs and charts is not only appealing but also necessary for outlining significant facts and figures in the financial report.The relevance of such a graphical information can be traced with the use of criteria 18 which stated about incorporation of two bar graphs. Lastly the information published is also seen to be in direct relevance to criteria 19 where the information Association relates to those concepts where a graph or chart with one or more styles. Figure 12: Representation of graph for waste disposal The relevance of such a graphical information can be traced with the use of criteria 18 which stated about incorporation of double Stack vertical bar graphs and eight also suggests the incorporation of criteria 19 where the information Association relates to those concepts where a graph or chart may have two different styles for presentation of any information.The inclusion of complexity with data and numbers needs to be presented in form of double stacked bar graph with histogram. Moreover, in various stages of reporting company has used both disposed income and recycled income. This assists in further enhancement of readability and usability of
16FOUNDATION SKILLS IN DATA ANALYSIS the report.This particular information can be also inferred with colourful styles of line and shades.