View source for References & Feedback

'''Thank you for your the time and effort to review my work. Please give your feedback in the "Feedback: Comments & Discussions" section below. '''

== Feedback: Comments and Discussions == 
'''[[User:Priyadarshi.2016|Priyadarshi.2016]] ([[User talk:Priyadarshi.2016|talk]])''' Hi Sumalika, I really like your drill down approach to see chemical capture / release values. For the graph on "Was there an excess release of a certain chemical from a factory" are you missing a legend somewhere? Or am I just blind. I am assuming that dark red means a major release. 
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Also for Q1, if you could highlight on the chart that at 12 AM readings are not captured by the sensors, it will provide more clarity. 
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'''[[User:Sumalikak.2016|Sumalikak.2016]] ([[User talk:Sumalikak.2016|talk]])''' Hi Priya, I appreciate the time taken to view my analysis. I made changes to highlighting the 12 AM - missing records. To understand more about the release of a certain chemical from a factory, please refer to "Patterns of Chemical Release" and "Factories Responsible" tabs.

'''[[User:Manishm.2016|Manishm.2016]] ([[User talk:Manishm.2016|talk]])'''
Hi Sumalika - Your idea of calendar plot is very nice. I really like it. For question 3, a graph which could show the spikes at a given time will give a better idea. A cox comb plot with the directions can be plotted. Overall the analysis is very good.

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Hi Sumalika,
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Good job on your visualisations and the insights you have found.
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Below I have prepared some feedback in the areas of i) clarity and ii) aesthetics for each of your questions. I hope they are useful to you.
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'''Clarity'''<br>
Q1<br>
Your use of numbers on each of the coloured cells is great as it is more clear what each colour corresponds to
However, to support your visualisations, it would be great if you could add legends to your graphs so that the colours can be better understood
For each of your graphs it would be great if you can add a title which clearly states what you are trying to depict as currently this understanding only comes by reading the supporting information on your wiki
Labelling your axes, for example in your final graph, would be great as right now it is up to assumption 
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Q2<br>
As with Q1, adding a legend to support your visualisations would be great as this information is currently provided as a sentence under your visualisation on your wiki
For your scatterplot matrix, it would be great if you could label the axes as “Readings” so that this is clear to someone who does not have the background on the data available
For your daily and hourly reading box plots, it is a bit hard to understand the information provided as it is not clear how they differ, I would recommend considering putting monitors as your columns, then you can compare how the readings differ across monitors (here there will only be 4 colours to focus on instead of 9)
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'''Aesthetics'''<br>
Q1<br>
Your graph labelled “Chemicals released from sensors” has a lot of numbers that are a bit hard to read. Adding a bit more contrast between the text colours and cell colours may make this graph a bit clearer
Your final graph’s chemical names have been cut off, by using “Fit view” or “Fit width” in Tableau, you can help increase the size of this visualisation so that all names are visible
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Q2<br>
Your first graph’s row labels are cut off, renaming these or increasing the size of this column will help
In your final graph, if you would like to consider an alternative way of labelling the columns so the names of each day is easier to read, you can rotate the labels back and use Tableau’s settings to only show the first letter (or first 3 letters) of the day
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Overall I think you are on the right track. A few aesthetics tweaks and adding in titles and legends will help make your visualisations a bit more clear.
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Good job! 😊
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--[[User:Akangshab.2016|Akangshab.2016]] ([[User talk:Akangshab.2016|talk]]) 22:00, 13 July 2017 (SGT)