söndag 27 mars 2016
M-query (get tab data), Synoptics panel
Picture: How to get data from the tabs: source
Instead of the usual way: Source = Web.Page(Web.Contents("http://financials.morningstar.com/ratios/r.html?t=MSFT
Use this M-code:
let
Source = Text.FromBinary(Web.Contents("http://financials.morningstar.com/financials/getKeyStatPart.html?&t=XNAS:MSFT")),
A = Text.Replace(Source, "\", ""),
B = Text.Replace(A, "display:none", "display:block"),
C = Web.Page(B),
Data = C{6}[Data],
D = Table.TransformColumnTypes(Data,{{"Efficiency", type text}, {"2015-06", type number}, {"2006-06", type number}, {"2007-06", type number}, {"2008-06", type number}, {"2009-06", type number}, {"2010-06", type number}, {"2011-06", type number}, {"2012-06", type number}, {"2013-06", type number}, {"2014-06", type number}, {"TTM", type number}}),
E = Table.DemoteHeaders(D),
#"Transposed Table" = Table.Transpose(E),
#"First Row as Header" = Table.PromoteHeaders(#"Transposed Table"),
#"Renamed Columns" = Table.RenameColumns(#"First Row as Header",{{"Efficiency", "Period"}}),
#"Added Custom" = Table.AddColumn(#"Renamed Columns", "Ticker", each "MSFT"),
#"Reordered Columns" = Table.ReorderColumns(#"Added Custom",{"Ticker", "Period", "Days Sales Outstanding", "Days Inventory", "Payables Period", "Cash Conversion Cycle", "Receivables Turnover", "Inventory Turnover", "Fixed Assets Turnover", "Asset Turnover"})
in
#"Reordered Columns"
------
Power-Query Tips
* How to Custom-Sort a Table
= Table.Sort(#"Renamed Columns", each List.PositionOf({"infrastrukturTable", "finansTable", "naturTable", "manniskorTable"}, [Area]))
* How to Combine Records
= Table.AddColumn(Coordinates, "Custom.1", each Record.Combine({[#"http://Column1.properties "],[Custom]}))
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Picture: explanation
Site with Country Flags
lördag 19 mars 2016
Flow-diagram (Sankey) with PowerBI
Picture: How to create a Data-table for the Sankey visualisation
I will clear up the picture once I actually done this.
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Picture: Visualise a database
----
Picture: Rotate pictures
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Well said:
I will clear up the picture once I actually done this.
Picture: Before 3-columns, After 2-columns
Picture: Show example (explanation)
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Picture: Visualise a database
----
Picture: Rotate pictures
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Well said:
“For
us, success does not lie in launching products.
We should not have product launch events,
we should only have Customer success events (joking).”
“It is not a marker of progress if all we do
is to launch technology and products,
it is only useful when it’s transformed, by our customers.”
We should not have product launch events,
we should only have Customer success events (joking).”
“It is not a marker of progress if all we do
is to launch technology and products,
it is only useful when it’s transformed, by our customers.”
-----
Other
Just ready "A beautiful question", by Frank Wilczek. - He also concluded beauty, but not why.
torsdag 17 mars 2016
Remove & Replace a list of rows (PowerQuery) + R-visualisations
Picture: How...1. Left Anti (to remove rows), 2. Append (to add rows).
Source: Post+Excel file
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Using R - good way to visualise
Picture: Blog-post, file
söndag 13 mars 2016
Azure Data Catalogue + Machine Learning + R
Picture: How to register all Tables (in a TableCatalogue), and all Columns - Only the Metadata
Picture: How to register a DataSource ?
This is Machine Learning:
What is ML
Picture: The purpose is to make a function that can predict Output = f(Xn):
DataProcess: 1. Define Output, 2. GetData, 3. TransformData
FunctionProcess: 4. GetFunction, 5. TransformFunction (called TrainModel*), 6. EvaluateFunction
* based on the data
Example (linear regression):
Picture: How to learn ML
Picture: Video
and MS Research lab,
Picture: ggplot2 cheat sheet (in R-Studio)
Picture: Distribution types
------
R links
Picture: Getting started with R, or A Complete tutorial
Picture: link (.pbix)
Examples: Sales data ggplot2 (.pbix), PowerBI ggplot2 (.pbix),
Videos: R in PowerBI (video), R with Jen (video), Videos
Download: R Tools for Visual Studio (download page, documentation), R-Quick.
Other: Forecasts
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Predictive Analytics
---
Ternary Crosshairs
Picture: 3-variable detection
----
Community Detection Algorithms
Picture: closeness/betweenness comes from the igraph in R
----------------
Learn more
Twitter: Fredrik Hedenström, MS-BuckWoody, MS-PowerBI,
Azure Free Trial is not really free, Analytics Magazine
Top 3 R resources for beginners (Try R)
Learn R from Scratch
Picture: How to register a DataSource ?
This is Machine Learning:
What is ML
Picture: The purpose is to make a function that can predict Output = f(Xn):
DataProcess: 1. Define Output, 2. GetData, 3. TransformData
FunctionProcess: 4. GetFunction, 5. TransformFunction (called TrainModel*), 6. EvaluateFunction
* based on the data
Example (linear regression):
Picture: How to learn ML
Picture: Video
and MS Research lab,
Picture: ggplot2 cheat sheet (in R-Studio)
Picture: Distribution types
------
R links
Picture: Getting started with R, or A Complete tutorial
Picture: link (.pbix)
Examples: Sales data ggplot2 (.pbix), PowerBI ggplot2 (.pbix),
Videos: R in PowerBI (video), R with Jen (video), Videos
Download: R Tools for Visual Studio (download page, documentation), R-Quick.
Other: Forecasts
---------
Predictive Analytics
Picture: Link; To describe something well enough to be able to anticipate, and control something with a certain certainty.
---
Ternary Crosshairs
Picture: 3-variable detection
----
Community Detection Algorithms
Picture: closeness/betweenness comes from the igraph in R
----------------
Learn more
Twitter: Fredrik Hedenström, MS-BuckWoody, MS-PowerBI,
Azure Free Trial is not really free, Analytics Magazine
Top 3 R resources for beginners (Try R)
Learn R from Scratch
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