Gnuplot in action: understanding data with graphs ; [includes time-saving command and option reference]
"Gnuplot in Action is the first comprehensive introduction to gnuplot - from the basics to the power features and beyond. Besides providing a tutorial on gnuplot itself, it demonstrates how to apply and use gnuplot to extract intelligence from data. Particular attention is paid to tricky or poo...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
Greenwich, Conn.
Manning
2010
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Zusammenfassung: | "Gnuplot in Action is the first comprehensive introduction to gnuplot - from the basics to the power features and beyond. Besides providing a tutorial on gnuplot itself, it demonstrates how to apply and use gnuplot to extract intelligence from data. Particular attention is paid to tricky or poorly-explained areas. You will learn how to apply gnuplot to actual data analysis problems. This book looks at different types of graphs that can be generated with gnuplot and will discuss when and how to use them to extract actual information from data. One of gnuplot's main advantages is that it requires no programming skills nor knowledge of advanced mathematical or statistical concepts. Gnuplot in Action assumes you have no previous knowledge of either gnuplot or statistics and data analysis."--Publisher's description. |
| Beschreibung: | XXXI, 360 S. graph. Darst. |
| ISBN: | 1933988398 9781933988399 |
Internformat
MARC
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| 084 | |a ST 601 |0 (DE-625)143682: |2 rvk | ||
| 100 | 1 | |a Janert, Philipp K. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Gnuplot in action |b understanding data with graphs ; [includes time-saving command and option reference] |c Philipp K. Janert |
| 264 | 1 | |a Greenwich, Conn. |b Manning |c 2010 | |
| 300 | |a XXXI, 360 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 520 | 3 | |a "Gnuplot in Action is the first comprehensive introduction to gnuplot - from the basics to the power features and beyond. Besides providing a tutorial on gnuplot itself, it demonstrates how to apply and use gnuplot to extract intelligence from data. Particular attention is paid to tricky or poorly-explained areas. You will learn how to apply gnuplot to actual data analysis problems. This book looks at different types of graphs that can be generated with gnuplot and will discuss when and how to use them to extract actual information from data. One of gnuplot's main advantages is that it requires no programming skills nor knowledge of advanced mathematical or statistical concepts. Gnuplot in Action assumes you have no previous knowledge of either gnuplot or statistics and data analysis."--Publisher's description. | |
| 630 | 0 | 4 | |a Gnuplot (Computer file) |
| 650 | 7 | |a Logiciels libres |2 ram | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Graph theory |x Data processing | |
| 650 | 4 | |a Statistics |x Data processing | |
| 650 | 0 | 7 | |a Graphentheorie |0 (DE-588)4113782-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Gnuplot |0 (DE-588)7614489-6 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Gnuplot |0 (DE-588)7614489-6 |D s |
| 689 | 0 | 1 | |a Graphentheorie |0 (DE-588)4113782-6 |D s |
| 689 | 0 | |5 DE-604 | |
| 856 | 4 | 2 | |m Digitalisierung UB Bayreuth |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016547444&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 856 | 4 | 2 | |m Digitalisierung UB Bayreuth |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016547444&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |3 Klappentext |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-016547444 | ||
Datensatz im Suchindex
| _version_ | 1804137728306053120 |
|---|---|
| adam_text | contents
foreword
xvii
foreword
xix
preface
xxi
acknowledgments
xxiii
about this book
xxv
part
1
Basics
.................................................................1
1
Prelude: Understanding data with gnuplot
3
1.1
A busy weekend
4
Planning a marathon
4 ·
Determining the future
6
1.2
What is graphical analysis?
9
Data analysis and visualization concepts
10*
Why graphical
analysis?
12*
Limitations of graphical analysis
12
1.3
What is gnuplot?
13
Gnuplot isn t GNU
13 ·
Why gnuplot?
14 -
Limitations
15
1.4
Summary
15
IX
2
З
CONTENTS
Essential gnuplot
16
2.1
Simple plots
16
Invoking gnuplot and first plots
17 *
Plotting data from a
file
20 ·
Abbreviations and defaults
23
2.2
Saving and exporting
24
Saving and loading commands
25 *
Exporting graphs
25
One-step export script
27
2.3
Summary
28
Working with data
29
3.1
Managing large data sets
30
Multiple data sets per
fik:
index
30*
Records spanning multiple
lines: every
31
3.2
Smoothing and summarizing data
32
Plotting unsorted data files
32*
Smoothing noisy data
35
3.3
Math with gnuplot
38
Mathematical expressions
38 ·
Built-in
f
unctions
38
User-defined variables and functions
39 ■
Complex numbers
40
3.4
Data transformations
41
Simple data transformations
41 *
Pseudocolumns and the column
function
42
3.5
Plotting functions and data
43
Tricks and warnings
44
3.6
Logarithmic plots
44
How do logarithmic plots work
? 44
3.7
Summary
47
4
Practical matters
49
4.1
Managing options
50
4.2
Data files
51
Permissible formats and options
51
4.3
Strings
55
Quotes
55 ■
String operations
55 *
String applications
57
Crazy example: plotting the Unix password file
58
4.4
Generating textual output
59
The print command
59*
The set table option
60
CONTENTS
4.5
Interacting with gnuplot
61
Getting help
61 ■
Command hutory
61 ■
Hot keys and
mousing
62 ■
Reading data interactively
63
4.6
Summary
64
Part
2
Polishing
........................................................65
5
6
Doing it with style
67
5.1
Choosing plot styles
68
Inline style directives
68 ■
Terminal capabilities
69
Global style directives
70
5.2
Plot styles
70
Core styles
71 ■
Box styles
72 ■
Styles with errorbars or
ranges
78 ■
Filled styles
81 ■
Other styles
84
5.3
Customizing styles
85
Custom line styles
86»
Specifying color
87
Worked example: half-tone shading
87
5.4
Summary
89
Decorations
90
6.1
Quick start: minimal context for data
91
6.2
Digression: locations on a graph
92
6.3
Additional graph elements: decorations
94
Common conventions
94 ■
Arrows
94 ■
Text labels
97
Objects
99
6.4
The graph s legend or key
100
Turning the key on and off
101 ■
Placement
101
Layout
101 »
Explanations
102 ■
Appearance
104
Default settings
104
6.5
Worked example: features of a spectrum
104
6.6
Overall appearance
106
Size and aspect ratio
106*
Borders and margins
108
6.7
Summary
109
7
All about axes
110
* 7.1
Multiple axes 111
Terminology 111
■
Plotting with two coordinate systems
112
Should you do
iti
113
CONTENTS
7.2
Selecting plot ranges
115
7.3
Tic marks
116
Major tic marks
116 ■
Minor tic marks
117 ·
Formatting the
tic labels
118 ■
Reading tic labeh from file
122
Grid and zero axes
123
7.4
A worked example
123
7.5
Special case: time series
124
Turning numbers into names: montL· and weekdays
124
General time series: the gory
detaüs
127
7.6
Summary
130
Part
3
Advanced Gnuplot
....................................... 131
8
9
Three-dimensional plots
133
8.1
Basics
135
8.2
Options for surface and contour plots
136
Surface pbts
136 ■
Contour lines
139
8.3
Coordinate axes and view point
141
Borders
142 ·
Viewpoint
143
8.4
Plotting data from a file using
splot
145
Grid format
146 ■
Matrix format
148 ■
Smooth surfaces
149
8.5
Summary
151
Color
152
9.1
Defining palettes
153
Color spaces: a refresher
153*
The palette option
154
9.2
Creating colored graphs with palettes
157
The pm3d mode
157 «
The colorbox
158 -
Other ways to use
color
160
9.3
Using color for data representation
161
Thoughts on palette design
162 ■
Some sample palettes
165
Words of caution
168
9.4
Case studies
169
A smoothly varying function
169 »
A complex figure
171
9.5
Summary
173
CONTENTS
Tj
ҐЛ
Advanced
plotting
concepts
175
J
^Ј
10.1 Multiplot 176
Regular arrays of graphs with layout
177 ■
Graphs within a
graph
179 *
Graphs aligned on a common axis
181
10.2
Higher math and special occasions
183
Parametric plots
183*
Non-Cartesian coordinates
184
Vector fields
188
10.3
Curve fitting
190
Background
190*
Using the fit command
191 *
Worked
example
195*
Should you do it?
197
10.4
Summary
199
U
12
Terminals in depth
200
11.1
Exporting graphs to file
201
11.2
Common terminal options
202
Size
202 «
Fonts
202 *
Enhanced text mode
202
Miscellaneous appearance options
205 *
Flushing output
channels
205
11.3
Standard graphics file formats
206
Bitmaps
206 *
SVG
208
11.4
Print-quality output
209
PostScript
209 *
Using PostScript plots with LaTeX
211
PDF
217
11.5
Interactive terminals
218
wxt
218 * xli 219 *
aqua
219 *
windows
219
11.6
Other terminals
220
11.7
Summary
221
Macros, scripting, and batch operations
222
12.1
Strings and string macros
223
12.2
Calling other programs from gnuplot
224
Executing a command in a subshell
225 *
Capturing the output of
a subprocess
225 ■
Input/output redirection (Unix only)
226
Example: watermarking plots
227
12.3
Calling gnuplot from other programs
228
Batch operations
228*
Invoking gnuplot from other
programs
229 *
Example: creating a font table
232
CONTENTS
12.4 Slideshows
with
pause
and reread
232
12.5
Configuring your workspace
234
Creating custom hot key bindings
236
12.6
Gnuplot for the web
239
Using Gnuplot as a CGI script
239 *
Using gnuplot as a
subprocess to a CGI script
241
12.7
Summary
241
Part
4
Graphical Analysis with Gnuplot
.............243
13
14
Fundamental graphical methods
245
13.1
Relationships
246
Scatter plots
246 *
Logarithmic scales
252
13.2
Counting statistics
256
Jitter plots and histograms
256 *
Kernel density estimates
258
Cumulative distribution functions
259*
Consider using median
and percentiks
261
13.3
Ranked data
262
13.4
Multivariate data
264
Parallel coordinate plots
264 *
Multivariate analysis
269
Star plots
270*
Historical perspective: computer-aided data
analysu
271
13.5
Summary
272
Techniques of graphical analysis
273
14.1
The core principle of graphical analysis
274
14.2
Iteration and transformation
275
A case study in iteration: car data
275 *
Making data
comparable: monitoring quantities in a control chart
278 «
Honor
the data: truncation and responsiveness
280
14.3
Changing the appearance to improve perception
284
Banking
284 *
Judging lengths and distances
287
Enhancing quantitative perception
289 *
Plot ranges and the
matter of zero
291 *
A tough problem: the display of changing
compositions
292
CONTENTS
15
14.4
Housekeeping
296
The lifecycle of a graph
296 ■
Input data files
296 ■
Output
files
298
14.5
Reminders for presentation graphics
298
14.6
Summary
300
Coda: Understanding data with graphs
301
appendix A Obtaining, building, and installing gnuplot
303
appendix
В
Gnuplot reference
309
appendix
С
Resources
345
index
351
OPEN SOURCE/DATA VISUALIZATION
Gnuplot in Action
Philipp
К.
Janert
Forewords
bï
(olik
D. Kqpí and
Thomas Williams
6nuplot
is an open
source graphies
program that helps you
analyze, interpret, and present numerical data. Available
for Unix, Mac, and Windows, it is well maintained, very
mature, and
...
totally free.
Gnuplot
ІП
Action is a comprehensive tutorial written for all
gnuplot users: data analysts, computer professionals, scientists,
researchers, and others. It shows how to apply gnuplot to data
analysis problems. It gets into tricky and poorly documented
areas. You ll quickly move from basic charts to advanced graph¬
ics, mastering powerful techniques like multi-dimensional
and false-color plots. You ll also learn scripting techniques for
unattended batch jobs or how to use gnuplot to generate web
graphics on demand.
This book does not require programming skills, nor previous
knowledge of gnuplot.
What s Inside
•
Generate simple and complex graphics
•
Graphic methods to understand data
•
Scripting and advanced visualization
A programmer and data analyst,
Philipp
K. JanPľt
has been a
gnuplot power user for over
15
years, in business and academic
environments. He holds a Ph.D. in theoretical physics.
For online access to the author and a free ebook for owners
of this book, go to manning.com/GnuplotinAction
Knee-deep in data? This is your
guidebook to exploring it with
gnuplot.
—
Austin King
Senior
Web Developer, Mozilla
Sparkles with insight about
visualization, image perception,
and data exploration.
—
Richard B. Kreckel, Hacker and
Physicist, GiNaC.de
Incredibly useful for begin¬
ners
—
indispensible for
advanced users.
—
Mark Pruett, Systems Architect
Dominion
Bridges the gap between
gnuplot
s
reference manual
and real-world problems.
—
Mitchell Johnson
Software Developer, Border Stylo
A Swiss Army knife for
plotting data.
—
Nishanth Sastry, Computer
Laboratory, University of
Cambridge/IBM
|
| adam_txt |
contents
foreword
xvii
foreword
xix
preface
xxi
acknowledgments
xxiii
about this book
xxv
part
1
Basics
.1
1
Prelude: Understanding data with gnuplot
3
1.1
A busy weekend
4
Planning a marathon
4 ·
Determining the future
6
1.2
What is graphical analysis?
9
Data analysis and visualization concepts
10*
Why graphical
analysis?
12*
Limitations of graphical analysis
12
1.3
What is gnuplot?
13
Gnuplot isn't GNU
13 ·
Why gnuplot?
14 -
Limitations
15
1.4
Summary
15
IX
2
З
CONTENTS
Essential gnuplot
16
2.1
Simple plots
16
Invoking gnuplot and first plots
17 *
Plotting data from a
file
20 ·
Abbreviations and defaults
23
2.2
Saving and exporting
24
Saving and loading commands
25 *
Exporting graphs
25
One-step export script
27
2.3
Summary
28
Working with data
29
3.1
Managing large data sets
30
Multiple data sets per
fik:
index
30*
Records spanning multiple
lines: every
31
3.2
Smoothing and summarizing data
32
Plotting unsorted data files
32*
Smoothing noisy data
35
3.3
Math with gnuplot
38
Mathematical expressions
38 ·
Built-in
f
unctions
38
User-defined variables and functions
39 ■
Complex numbers
40
3.4
Data transformations
41
Simple data transformations
41 *
Pseudocolumns and the column
function
42
3.5
Plotting functions and data
43
Tricks and warnings
44
3.6
Logarithmic plots
44
How do logarithmic plots work
? 44
3.7
Summary
47
4
Practical matters
49
4.1
Managing options
50
4.2
Data files
51
Permissible formats and options
51
4.3
Strings
55
Quotes
55 ■
String operations
55 *
String applications
57
Crazy example: plotting the Unix password file
58
4.4
Generating textual output
59
The print command
59*
The set table option
60
CONTENTS
4.5
Interacting with gnuplot
61
Getting help
61 ■
Command hutory
61 ■
Hot keys and
mousing
62 ■
Reading data interactively
63
4.6
Summary
64
Part
2
Polishing
.65
5
6
Doing it with style
67
5.1
Choosing plot styles
68
Inline style directives
68 ■
Terminal capabilities
69
Global style directives
70
5.2
Plot styles
70
Core styles
71 ■
Box styles
72 ■
Styles with errorbars or
ranges
78 ■
Filled styles
81 ■
Other styles
84
5.3
Customizing styles
85
Custom line styles
86»
Specifying color
87
Worked example: half-tone shading
87
5.4
Summary
89
Decorations
90
6.1
Quick start: minimal context for data
91
6.2
Digression: locations on a graph
92
6.3
Additional graph elements: decorations
94
Common conventions
94 ■
Arrows
94 ■
Text labels
97
Objects
99
6.4
The graph's legend or key
100
Turning the key on and off
101 ■
Placement
101
Layout
101 »
Explanations
102 ■
Appearance
104
Default settings
104
6.5
Worked example: features of a spectrum
104
6.6
Overall appearance
106
Size and aspect ratio
106*
Borders and margins
108
6.7
Summary
109
7
All about axes
110
* 7.1
Multiple axes 111
Terminology 111
■
Plotting with two coordinate systems
112
Should you do
iti
113
CONTENTS
7.2
Selecting plot ranges
115
7.3
Tic marks
116
Major tic marks
116 ■
Minor tic marks
117 ·
Formatting the
tic labels
118 ■
Reading tic labeh from file
122
Grid and zero axes
123
7.4
A worked example
123
7.5
Special case: time series
124
Turning numbers into names: montL· and weekdays
124
General time series: the gory
detaüs
127
7.6
Summary
130
Part
3
Advanced Gnuplot
. 131
8
9
Three-dimensional plots
133
8.1
Basics
135
8.2
Options for surface and contour plots
136
Surface pbts
136 ■
Contour lines
139
8.3
Coordinate axes and view point
141
Borders
142 ·
Viewpoint
143
8.4
Plotting data from a file using
splot
145
Grid format
146 ■
Matrix format
148 ■
Smooth surfaces
149
8.5
Summary
151
Color
152
9.1
Defining palettes
153
Color spaces: a refresher
153*
The palette option
154
9.2
Creating colored graphs with palettes
157
The pm3d mode
157 «
The colorbox
158 -
Other ways to use
color
160
9.3
Using color for data representation
161
Thoughts on palette design
162 ■
Some sample palettes
165
Words of caution
168
9.4
Case studies
169
A smoothly varying function
169 »
A complex figure
171
9.5
Summary
173
CONTENTS
Tj
ҐЛ
Advanced
plotting
concepts
175
J
^Ј
10.1 Multiplot 176
Regular arrays of graphs with layout
177 ■
Graphs within a
graph
179 *
Graphs aligned on a common axis
181
10.2
Higher math and special occasions
183
Parametric plots
183*
Non-Cartesian coordinates
184
Vector fields
188
10.3
Curve fitting
190
Background
190*
Using the fit command
191 *
Worked
example
195*
Should you do it?
197
10.4
Summary
199
U
12
Terminals in depth
200
11.1
Exporting graphs to file
201
11.2
Common terminal options
202
Size
202 «
Fonts
202 *
Enhanced text mode
202
Miscellaneous appearance options
205 *
Flushing output
channels
205
11.3
Standard graphics file formats
206
Bitmaps
206 *
SVG
208
11.4
Print-quality output
209
PostScript
209 *
Using PostScript plots with LaTeX
211
PDF
217
11.5
Interactive terminals
218
wxt
218 * xli 219 *
aqua
219 *
windows
219
11.6
Other terminals
220
11.7
Summary
221
Macros, scripting, and batch operations
222
12.1
Strings and string macros
223
12.2
Calling other programs from gnuplot
224
Executing a command in a subshell
225 *
Capturing the output of
a subprocess
225 ■
Input/output redirection (Unix only)
226
Example: watermarking plots
227
12.3
Calling gnuplot from other programs
228
Batch operations
228*
Invoking gnuplot from other
programs
229 *
Example: creating a font table
232
CONTENTS
12.4 Slideshows
with
pause
and reread
232
12.5
Configuring your workspace
234
Creating custom hot key bindings
236
12.6
Gnuplot for the web
239
Using Gnuplot as a CGI script
239 *
Using gnuplot as a
subprocess to a CGI script
241
12.7
Summary
241
Part
4
Graphical Analysis with Gnuplot
.243
13
14
Fundamental graphical methods
245
13.1
Relationships
246
Scatter plots
246 *
Logarithmic scales
252
13.2
Counting statistics
256
Jitter plots and histograms
256 *
Kernel density estimates
258
Cumulative distribution functions
259*
Consider using median
and percentiks
261
13.3
Ranked data
262
13.4
Multivariate data
264
Parallel coordinate plots
264 *
Multivariate analysis
269
Star plots
270*
Historical perspective: computer-aided data
analysu
271
13.5
Summary
272
Techniques of graphical analysis
273
14.1
The core principle of graphical analysis
274
14.2
Iteration and transformation
275
A case study in iteration: car data
275 *
Making data
comparable: monitoring quantities in a control chart
278 «
Honor
the data: truncation and responsiveness
280
14.3
Changing the appearance to improve perception
284
Banking
284 *
Judging lengths and distances
287
Enhancing quantitative perception
289 *
Plot ranges and the
matter of zero
291 *
A tough problem: the display of changing
compositions
292
CONTENTS
15
14.4
Housekeeping
296
The lifecycle of a graph
296 ■
Input data files
296 ■
Output
files
298
14.5
Reminders for presentation graphics
298
14.6
Summary
300
Coda: Understanding data with graphs
301
appendix A Obtaining, building, and installing gnuplot
303
appendix
В
Gnuplot reference
309
appendix
С
Resources
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OPEN SOURCE/DATA VISUALIZATION
Gnuplot in Action
Philipp
К.
Janert
Forewords
bï
(olik
D. Kqpí and
Thomas Williams
6nuplot
is an open
source graphies
program that helps you
analyze, interpret, and present numerical data. Available
for Unix, Mac, and Windows, it is well maintained, very
mature, and
.
totally free.
Gnuplot
ІП
Action is a comprehensive tutorial written for all
gnuplot users: data analysts, computer professionals, scientists,
researchers, and others. It shows how to apply gnuplot to data
analysis problems. It gets into tricky and poorly documented
areas. You'll quickly move from basic charts to advanced graph¬
ics, mastering powerful techniques like multi-dimensional
and false-color plots. You'll also learn scripting techniques for
unattended batch jobs or how to use gnuplot to generate web
graphics on demand.
This book does not require programming skills, nor previous
knowledge of gnuplot.
What's Inside
•
Generate simple and complex graphics
•
Graphic methods to understand data
•
Scripting and advanced visualization
A programmer and data analyst,
Philipp
K. JanPľt
has been a
gnuplot power user for over
15
years, in business and academic
environments. He holds a Ph.D. in theoretical physics.
For online access to the author and a free ebook for owners
of this book, go to manning.com/GnuplotinAction
"Knee-deep in data? This is your
guidebook to exploring it with
gnuplot."
—
Austin King
Senior
Web Developer, Mozilla
"Sparkles with insight about
visualization, image perception,
and data exploration."
—
Richard B. Kreckel, Hacker and
Physicist, GiNaC.de
"Incredibly useful for begin¬
ners
—
indispensible for
advanced users."
—
Mark Pruett, Systems Architect
Dominion
"Bridges the gap between
gnuplot
s
reference manual
and real-world problems."
—
Mitchell Johnson
Software Developer, Border Stylo
"A Swiss Army knife for
plotting data."
—
Nishanth Sastry, Computer
Laboratory, University of
Cambridge/IBM |
| any_adam_object | 1 |
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| author | Janert, Philipp K. |
| author_facet | Janert, Philipp K. |
| author_role | aut |
| author_sort | Janert, Philipp K. |
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| building | Verbundindex |
| bvnumber | BV023364046 |
| callnumber-first | Q - Science |
| callnumber-label | QA276 |
| callnumber-raw | QA276.4 |
| callnumber-search | QA276.4 |
| callnumber-sort | QA 3276.4 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | SK 840 ST 321 ST 600 ST 601 |
| ctrlnum | (OCoLC)262720568 (DE-599)BVBBV023364046 |
| dewey-full | 519.5028553 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5028553 |
| dewey-search | 519.5028553 |
| dewey-sort | 3519.5028553 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik |
| discipline_str_mv | Informatik Mathematik |
| format | Book |
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| id | DE-604.BV023364046 |
| illustrated | Illustrated |
| index_date | 2024-07-02T21:10:11Z |
| indexdate | 2024-07-09T21:16:54Z |
| institution | BVB |
| isbn | 1933988398 9781933988399 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016547444 |
| oclc_num | 262720568 |
| open_access_boolean | |
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| physical | XXXI, 360 S. graph. Darst. |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Manning |
| record_format | marc |
| spelling | Janert, Philipp K. Verfasser aut Gnuplot in action understanding data with graphs ; [includes time-saving command and option reference] Philipp K. Janert Greenwich, Conn. Manning 2010 XXXI, 360 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier "Gnuplot in Action is the first comprehensive introduction to gnuplot - from the basics to the power features and beyond. Besides providing a tutorial on gnuplot itself, it demonstrates how to apply and use gnuplot to extract intelligence from data. Particular attention is paid to tricky or poorly-explained areas. You will learn how to apply gnuplot to actual data analysis problems. This book looks at different types of graphs that can be generated with gnuplot and will discuss when and how to use them to extract actual information from data. One of gnuplot's main advantages is that it requires no programming skills nor knowledge of advanced mathematical or statistical concepts. Gnuplot in Action assumes you have no previous knowledge of either gnuplot or statistics and data analysis."--Publisher's description. Gnuplot (Computer file) Logiciels libres ram Datenverarbeitung Statistik Graph theory Data processing Statistics Data processing Graphentheorie (DE-588)4113782-6 gnd rswk-swf Gnuplot (DE-588)7614489-6 gnd rswk-swf Gnuplot (DE-588)7614489-6 s Graphentheorie (DE-588)4113782-6 s DE-604 Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016547444&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016547444&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Janert, Philipp K. Gnuplot in action understanding data with graphs ; [includes time-saving command and option reference] Gnuplot (Computer file) Logiciels libres ram Datenverarbeitung Statistik Graph theory Data processing Statistics Data processing Graphentheorie (DE-588)4113782-6 gnd Gnuplot (DE-588)7614489-6 gnd |
| subject_GND | (DE-588)4113782-6 (DE-588)7614489-6 |
| title | Gnuplot in action understanding data with graphs ; [includes time-saving command and option reference] |
| title_auth | Gnuplot in action understanding data with graphs ; [includes time-saving command and option reference] |
| title_exact_search | Gnuplot in action understanding data with graphs ; [includes time-saving command and option reference] |
| title_exact_search_txtP | Gnuplot in action understanding data with graphs ; [includes time-saving command and option reference] |
| title_full | Gnuplot in action understanding data with graphs ; [includes time-saving command and option reference] Philipp K. Janert |
| title_fullStr | Gnuplot in action understanding data with graphs ; [includes time-saving command and option reference] Philipp K. Janert |
| title_full_unstemmed | Gnuplot in action understanding data with graphs ; [includes time-saving command and option reference] Philipp K. Janert |
| title_short | Gnuplot in action |
| title_sort | gnuplot in action understanding data with graphs includes time saving command and option reference |
| title_sub | understanding data with graphs ; [includes time-saving command and option reference] |
| topic | Gnuplot (Computer file) Logiciels libres ram Datenverarbeitung Statistik Graph theory Data processing Statistics Data processing Graphentheorie (DE-588)4113782-6 gnd Gnuplot (DE-588)7614489-6 gnd |
| topic_facet | Gnuplot (Computer file) Logiciels libres Datenverarbeitung Statistik Graph theory Data processing Statistics Data processing Graphentheorie Gnuplot |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016547444&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016547444&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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