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Data Analyst Tool
PathMaker's Data Analyst tool helps you integrate actual
process data with management and planning tools. That's unusual
in itself. The Data Analyst also has innovations which mean that
non-statisticians can easily make useful, accurate, professional
charts. With all the statistics done for you.
Data Analyst offers all the major chart types required for
process improvement and SPC. In a chart wizard, you can choose
run
charts, pie charts, scatter
plots, bar charts, histograms,
Pareto charts, normal
test plots or one of seven common control charts (x bar s, x
bar R, individual and moving range, c, u, p, and np). The wizard
will even give you advice (if you ask for it) on which chart type
is appropriate for your task.
Your Data Analyst window is split, with a chart in the top
pane, and a spreadsheet in the bottom pane. You can enter data
into the spreadsheet by hand, or do one-time imports or live
links to Excel, Lotus 1-2-3, or any other ODBC-compliant data
file.
The Data Analyst is extremely easy to use. If you choose a Run
Chart in the chart wizard, the spreadsheet adjusts itself to
offer you column headers which are appropriate for run chart
data. Your chart is automatically drawn from the data you enter.
Just one button stands between you and all the relevant
statistics you need.
Data Analyst is easy to use, but it is definitely not a
lightweight. In the spreadsheet, you can sort, filter, exclude
rows, hide and unhide, protect, validate data entries, and much
more. You can even fill ranges with formulas or dates or
series.
With charts, you can control colors, titles, scales, point
markers, 2D/3D views, legends, point labels, and many other
functions. You can annotate charts, with notes, pictures, lines
and scribbles. With control charts, you can opt to use given
standards, and apply up to 8 out-of-control tests. With
histograms, you can enter specification targets and limits, and
calculate process capability indices. Scatter plots offer lines
of best fit, and Pareto charts can automatically count and sort
all entries in a designated column. Finally, guidelines for both
data collection and interpretation are available, and are written
in clear language which assumes no prior knowledge of statistical
process control (SPC).
 View a Video Tutorial on the Data Analyst Tool
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