Data presentation and analysis forms an integral part of all academic studies, commercial, industrial and marketing activities as well as professional practices. It is necessary to make use of collected data which is considered to be raw data which must be processed to put for any application. Data analysis helps in the interpretation of data and take a decision or answer the research question. Data analysis starts with the collection of data followed by data processing and sorting it. Processed data helps in obtaining information from it as the raw data is non-comprehensive in nature. Presenting the data includes the pictorial representation of the data by using graphs, charts, maps and other methods. These methods help in adding the visual aspect to data which makes it much more comfortable and quicker to understand.
Data presentation and analysis or data analysis and presentation?
These two go hand in hand, and it will be difficult to provide a complete differentiation between the two. Adding visual aspect to data or sorting it using grouping and presenting it in the form of table is a part of the presentation which further helps in analyzing data. During a study with an aim and multiple objectives, data analysis will be required to complete the required objectives and compiling or presenting the analyzed data will help in overall analysis and concluding the study.
You can have a variety of data which can be used in presentations. Some of these types include :
Time Series Data
Text & Images
Some of these have been described in brief with an example at the end of this article.
How to present the different type of data
Secondary surveys form a significant part of data research and primary means of data collection by conducting various studies and making use of existing data from multiple sources. The data thus obtained from multiple sources like Census department, Economics and Statistics Department, Election Commission, Water Board, Municipal Bodies, Economic surveys, Website feedbacks, scientific research, etc. is compiled and analyzed. Data is also required to forecast and estimate the change in the requirement of various resources and thus provide them accordingly. Phasing and prioritization form another important part for the effective implementation of the proposals.
Different types of charts which can be used for data presentation and analysis.
Bar Charts/Bar Graphs: These are one of the most widely used charts for showing the grown of a company over a period. There are multiple options available like stacked bar graphs and the option of displaying a change in numerous entities. These look as shown in the image below:
Line Chart: These are best for showing the change in population, i.e., for showing the trends. These also work well for explaining the growth of multiple areas at the same time.
Data presentation and analysis Line Chart
Pie Charts: These work best for representing the share of different components from a total 100%. For, eg. contribution of different sectors to GDP, the population of different states in a country, etc.
Combo Chart: As the name suggests it is a combination of more than one chart type. The one shown in the figure below is a combination of line and bar graph. These save space and are at times more effective than using two different charts. There can even be 3 or more charts depending on the requirement.