Mathematica consulting in Australia. Mathematica is an ideal tool for prototyping and development of applications. Mathematica or Java/.NET interfaces with Mathematica high level calculations on the back end. Interfaces limited by your imagination.
Wednesday, 23 January 2013
Automatic report generation: part 3
This is the third of three posts that show how Mathematica can automate the processing of data.
1. This video shows the presentation of the data as bar charts.
2. Some styling options are shown.
3. Bar charts can be toggled to show, for example, monthly, quarterly, and annual data.
Note that the recording was made on a 7 year old 32 bit computer (running Mathematica V8) and some of the operations shown were slowed down by having to run the recording.
The key take home message I'd like viewers to get from both these posts and the rail freight post is that mundane data processing tasks can be automated. It doesn't matter what format your data is in, as long as the format is coming consistently your data processing can be automated. Additionally this could be taken a step further can all be done in the background and scheduled to run as given times -- but there would be no video to show in that case!
This video is best viewed in full screen mode.
Labels:
data processing,
graphics,
Mathematica
Automatic report generation: part 2
This is the second of three posts that show how Mathematica can automate the processing of data. This video shows some of the plotting features that are possible once the data has been processed.
1. Plots can be toggled to show, for example, monthly, quarterly, annual, and seasonal data.
2. Where a category that is plotted has nested line items a drill down button allows the break down of the line item to be shown.
3. Notes can be added to plots.
4. Underneath the plot the category being plotted is tabulated as a percentage of other categories/line items.
5. Plots, tables, and notes can be saved as PDFs for distribution among colleagues.
Note that the recording was made on a 7 year old 32 bit computer (running Mathematica V8) and some of the operations shown were slowed down by having to run the recording.
The key take home message I'd like viewers to get from both these posts and the rail freight post is that mundane data processing tasks can be automated. It doesn't matter what format your data is in, as long as the format is coming consistently your data processing can be automated. Additionally this could be taken a step further can all be done in the background and scheduled to run as given times -- but there would be no video to show in that case!
This video is best viewed in full screen mode.
1. Plots can be toggled to show, for example, monthly, quarterly, annual, and seasonal data.
2. Where a category that is plotted has nested line items a drill down button allows the break down of the line item to be shown.
3. Notes can be added to plots.
4. Underneath the plot the category being plotted is tabulated as a percentage of other categories/line items.
5. Plots, tables, and notes can be saved as PDFs for distribution among colleagues.
Note that the recording was made on a 7 year old 32 bit computer (running Mathematica V8) and some of the operations shown were slowed down by having to run the recording.
The key take home message I'd like viewers to get from both these posts and the rail freight post is that mundane data processing tasks can be automated. It doesn't matter what format your data is in, as long as the format is coming consistently your data processing can be automated. Additionally this could be taken a step further can all be done in the background and scheduled to run as given times -- but there would be no video to show in that case!
This video is best viewed in full screen mode.
Labels:
data processing,
graphics,
Mathematica,
tables
Automatic report generation: part 1
This is the first of three posts that show how Mathematica can automate the processing of data. In this example the data is in the form of Excel spreadsheets. A previous example showed importing data from a PDF.
I haven't added a voice over so a few points to note:
1. The Excel files are generic balance sheets and P&Ls. Each file containing a separate worksheet for a given month.
2. The display objective is to nest different categories. So the first step is to establish a parent-child relationship. For example current assets is a child of assets. This relationship is stored so it only has to be done once.
3. The nesting allows the user to determine the level of drill down they want to display in the accounts.
4. The raw data for this example was monthly data. Once imported and processed the user can toggle between monthly, quarterly, calendar year, financial year, and year-to-date for presentation purposes.
Note that the recording was made on a 7 year old 32 bit computer (running Mathematica V8) and some of the operations shown were slowed down by having to run the recording.
The key take home message I'd like viewers to get from both these posts and the rail freight post is that mundane data processing tasks can be automated. It doesn't matter what format your data is in, as long as the format is coming consistently your data processing can be automated. Additionally this could be taken a step further can all be done in the background and scheduled to run as given times -- but there would be no video to show in that case!
This video is best viewed in full screen mode.
I haven't added a voice over so a few points to note:
1. The Excel files are generic balance sheets and P&Ls. Each file containing a separate worksheet for a given month.
2. The display objective is to nest different categories. So the first step is to establish a parent-child relationship. For example current assets is a child of assets. This relationship is stored so it only has to be done once.
3. The nesting allows the user to determine the level of drill down they want to display in the accounts.
4. The raw data for this example was monthly data. Once imported and processed the user can toggle between monthly, quarterly, calendar year, financial year, and year-to-date for presentation purposes.
Note that the recording was made on a 7 year old 32 bit computer (running Mathematica V8) and some of the operations shown were slowed down by having to run the recording.
The key take home message I'd like viewers to get from both these posts and the rail freight post is that mundane data processing tasks can be automated. It doesn't matter what format your data is in, as long as the format is coming consistently your data processing can be automated. Additionally this could be taken a step further can all be done in the background and scheduled to run as given times -- but there would be no video to show in that case!
This video is best viewed in full screen mode.
Labels:
data processing,
Excel,
finance,
graphics,
Mathematica,
tables
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