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what chart best works for your data .There is lot of data around the project so to choose which chart best represents your data and what are the basic categories ,here you can see some basic categories on which
you can divide your data and choose the better chart type.
Visualizing your data helps you understand it better, find patterns and trends. For visualizing of data ,
Tableau is a powerful tool and flexible, for exploring data, identifying patterns and trends, and communicating insights. It can provide insight into correlations and trends that may otherwise be difficult to detect from examining raw data alone. It is why data visualization tools like Tableau and methods are often used in business, financial analysis, project management, scientific studies, and just about everywhere else – as long as there is some data to visualize.
This topic presents nine different types of information that you can display with a visualization
Change over time
Correlation
Magnitude
Deviation
Distribution
Ranking
Part-to-Whole
Spatial
Flow
Change over time:
To show the change over time measure for your data Tableau has different type of the chart options like
line charts, slope charts and highlight tables. To show change over time, you need to know the value you expect to change, and how to work with Date fields in Tablea
Questions you need to consider for this type of data
How has this measure changed in the past year?
When did this measure change?
How quickly has this measure changed?
Example chart
line chart showing year wise sales
Correlation:
To show correlation between two fields of data like how many orders are there for the particular product
it can be shown using the scatter plot or highlight tables
Questions you need to consider for this type of data
Are these two measures related? How strongly?
Are some measures more related than others?
How strongly related are these measures
Example chart
Scatter plot showing sales with trendline
Magnitude:
You should consider Magnitude to show the relative value between two values, like when comparing
sales for two different regions, You can use bar charts or bubble charts to show
Questions you need to consider for this type of data
Which of these dimension members has the highest measure?
Are there any exceptional dimensions?
How large of a gap is there between the lowest and highest measure between these dimensions?
Example chart:
Bubble chart showing comparision between regions
Deviation:
Deviation is like to show how far the value has grown from the base value. For example to show which items has high profits or low profits marginally, for this kind of data you can use bullet charts or bar charts
Questions you need to consider for this type of data
How important are the deviations in this measure?
Is there a pattern to the deviations?
Example chart to show Deviation:
bar charts showing product sales
Distribution:
Distribution is used when you are showing survey in your data like how customers liked the particular product.
for this kind of data distribution you can use histograms, pyramids and pareto chart,
Questions you need to consider for this type of data
which product was highly bought by most costumers?
Which population group buys the most items?
When are the busiest times in our work day?
Example for chart
pareto chart showing profits for each product
Ranking:
This will show top ten products which are bought by consumers, ranking of products.
we can use bar chart with rank calculation included in the chart, top n sets or you can mention progress indicators in the chart.
Questions you need to consider for this type of data
How many people are under-performing in the company?
How much revenue is generated by our top ten customers?
What is the value of our ten lowest revenue properties?
Example chart :
Ranking chart showing the highest product
Part-to-Whole:
This will show how much all the values made up to the whole part ,for example how all the regions made contribution as overall sales in that location. We can use pie chart, area chart or tree maps
Questions you need to consider for this type of data
How much does this value contribute to the total?
How does the distribution of costs change each year?
Do different items contribute different amounts to sales by region?
Example chart :
Tree map showing sales region wise
Spatial:
spatial charts are to show the geographic variations in your data, for examples map of all the sales in the whole country, we can use distribution maps, symbol maps, density maps`.
Questions you need to consider for this type of data
Which city has the highest sales?
How far from distribution centers are our customers?
How many people arrive at which gate?
Example chart:
map showing city wise sales
Flow:
Flow maps include path over time and path between origin and destination charts.
Questions you need to consider for this type of data
What is the longest shipping route?
How long are people lingering around gates?
What are the bottlenecks to traffic in the city?
Example chart:
flow chart showing paths between different routes
image credits-Tableau
Conclusion:
These are different types of categories you should consider the better chart for your data.
You can take a look into the category and choose the best chart type, since for each category
we can plot data in different charts.
Thank you for reading. Hope you got a better idea about data.