Effective Data Presentation Techniques for Computer Science Students
Discover the right types of graphics for data presentation in computer science studies at the College of Pharmacy. Learn how to utilize bar charts, histograms, line graphs, pie charts, and stacked bar charts effectively. Gain insights into comparing categories of data, household ownership statistics, and malaria cases in Kenya between 2000 and 2007. Explore the differences between bar charts and histograms, and understand population pyramids for descriptive data visualization. Enhance your skills in data communication and analysis with these essential techniques.
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Presentation Transcript
Graph for Data Presentation COMPUTER SCIENCE 2NDSTAGE COLLEGE OF PHARMACY HUSSEIN ALSHEAKH, PH.D. 1
Use the right type of graphic Charts and graphs Bar chart: comparisons, categories of data Histogram: represents relative frequency of continuous data Line graph: display trends over time, continuous data (ex. cases per month) Pie chart: show percentages or proportional share 2
Bar chart Comparing the categories of data 100 80 What should be add 60 Any net LLIN -Title and data labels. - The source of the data 40 20 0
Bar Chart Household Ownership of at Least 1 Net or ITN, 2008 100 80 77 70 66 60 Percent 57 Any net LLIN 56 46 40 45 38 20 0 Country 1 Country 3 Country 4 Country 5 Source: Quarterly Country Summaries, 2008
Stacked bar chart % Children <5 with Fever who Took Specific % Children <5 with Fever who Took Specific Antimalarial Antimalarial, 2007 , 2007- -2008 2008 ACT Amodiaquine Chloroquine Quinine Sulfadoxine-Pyrimethamine Other 2007 26 9 20 Year 2008 36 9 11 0 20 40 60 80 100 Percent To compare multiple values when the values on the chart represent durations or portions of an incomplete whole.
Histogram Percent contribution of reported malaria cases by year between 2000 and 2007, Kenya 20 - Presents quantitative variables 15 Percent 10 Relative Frequency 5 0 20002001200220032004200520062007
Bar Chart v. Histogram - Columns can be arranged Data fabricated for illustration 7
Bar Chart v. Histogram (cont.) - Order of the columns is very specific Data fabricated for illustration 8
Population Pyramid: Country Z, 2008 - Two histograms presented side by side 80+ 70-74 Femal Male 60-64 - Useful for presenting descriptive data 50-54 40-44 Age 30-34 20-24 10-15 < 5 15 10 5 0 5 10 15 Percent
Line graph Number of Clinicians* Working in Each Clinic During Years 1-4, Country Y - To display trends over time and is particularly useful when there are many datapoints (ex 4). 6 5 Number of clinicians 4 Clinic 1 3 Clinic 2 Clinic 3 2 1 0 Year 1 Year 2 Year 3 Year 4 *Includes doctors and nurses.
Caution: Line Graph - What is wrong with this line graph? Number of Clinicians* Working in Each Clinic During Years 1-4, Country Y 6 5 Number of clinicians 4 Year 1 3 Year 2 Year 3 2 Year 4 1 0 Clinic 1 Clinic 2 Clinic 3 *Includes doctors and nurses.
Pie chart Malaria Cases Displays the contribution of each value to a total 8 10 1st Qtr What should be added to this chart to provide the reader with more information? 2nd Qtr 3rd Qtr 4th Qtr 23 59 - The color scheme, which is currently too bright - The title should be more specific and indicate whether these are numbers or percentages.
Pie chart Percentage of all confirmed malaria cases treated by quarter, Country X, 2011 Percentage of all confirmed malaria cases treated by quarter, Country X, 2011 8% 10% 1st Qtr 2nd Qtr 3rd Qtr 23% 59% 4th Qtr Limit the slices to 4-6. N=257 Source: MEASURE Evaluation, Retention, Use and Achievement of Universal Access Following the Distribution of Long Lasting Insecticide Treated Nets in Kano State, Nigeria, 2009
Create Graph Please use the Graph.xlsx posted on Google classroom Excel file to: 1 - Create Pie Chart based on the data from sheet named Pie Chart. 2- Create Bar Chart based on the data from sheet named Line Graph. 3- Create Line Chart based on data from sheet named Secondary Axis. Submit the next three slides individually as assignment Graph HAVE A FUN!!!
Pie Chart 15
Bar Chart 16
Line Chart 17
Summary Make sure that you present your data in a consistent format Use the right graph for the right data and the right audience Label the components of your graphic (title, axis) Indicate source of data and number of observations Add footnote for more explanation
Source - Measure Evaluation 20
