SSC CGL Exam > SSC CGL Notes > SSC CGL Tier 2 - Study Material, Online Tests, Previous Year > Cartogram - Presentation of Data, Business Mathematics & Statistics
Cartogram - Presentation of Data, Business Mathematics & Statistics | SSC CGL Tier 2 - Study Material, Online Tests, Previous Year PDF Download
Graphing Statistics & Data
A cartogram or map chart is a map on which different symbols, signs, colours, diagrams, etc are superimposed. Geographically classified data can be presented by this method. It gives a very quick idea about the data in different geographical parts. Production of electricity statewise in a country, procurement of rise distric-wise in a state, munber of coal mines country wise etc can be presented by a cartogram.
Example
This map shows where the population clusters in South America are.
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FAQs on Cartogram - Presentation of Data, Business Mathematics & Statistics - SSC CGL Tier 2 - Study Material, Online Tests, Previous Year
| 1. What is a cartogram? |  |
A cartogram is a visualization technique that presents statistical data using maps. It distorts the geographic boundaries of regions or countries to represent the variable being displayed, such as population or GDP. The size or shape of the regions on the map is proportional to the data being presented, allowing for a more intuitive understanding of the information.
| 2. How are cartograms useful in the presentation of data? | |
Cartograms are useful in the presentation of data as they provide a visually appealing way to represent complex information. By distorting the map's boundaries, cartograms can highlight variations in data across regions and make comparisons easier. They also allow for the identification of patterns, trends, and spatial relationships that may not be immediately apparent in traditional maps or numerical tables.
| 3. What are the advantages of using cartograms for data visualization? | |
There are several advantages of using cartograms for data visualization. Firstly, they provide a clear and concise representation of data, making it easier for viewers to interpret and understand the information being presented. Additionally, cartograms can effectively convey large amounts of data in a single image, saving space and reducing clutter. They also facilitate the identification of outliers and help in identifying regions where certain variables have higher or lower values.
| 4. Are there any limitations or challenges when using cartograms for data presentation? | |
Yes, there are some limitations and challenges when using cartograms for data presentation. One limitation is that the distortion of the map's boundaries can sometimes lead to misinterpretation or confusion, especially when viewers are not familiar with the original geographic shape of the regions. Another challenge is that creating accurate and aesthetically pleasing cartograms can be technically complex and time-consuming. Additionally, cartograms may not be suitable for presenting certain types of data, such as continuous variables or data that requires precise geographic references.
| 5. How can I create cartograms for my own data? | |
Creating cartograms for your own data requires specialized software or programming skills. There are various software tools available, such as Carto, QGIS, or ScapeToad, that allow you to generate cartograms from your data. These tools typically provide options for selecting the input data, choosing the variable to represent, and customizing the appearance of the cartogram. Alternatively, if you are familiar with programming languages like R or Python, you can use libraries and packages specifically designed for cartogram creation, such as `cartogram` in R or `cartopy` in Python.
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