This algorithm allows you to do calculations in statistic descriptive in one way very easy, because you only need paste the data and run the script
What can calculate?:
| Information | Tables with | Figures | Examples |
|---|---|---|---|
| Min value | Absolute Frecuency | Histogram | See Figures |
| Max value | Mark of class | Frequency polygon | Results - Resultados |
| Old range (Range) | Relative Frecuency | Ascending Ogive | |
| Range (New Range) | Cumulative Absolute Frequency | Descending Ogive | |
| Size of interval class | Ogive Ascending and Descending | ||
| Old amplitude (Amplitude) | Circle Dragram | ||
| Amplitude (New Amplitude) | |||
| Old excess (Excess) | |||
| Excess (New Excess) | |||
| Maximun sample size | |||
| Mark of class | |||
| Simple frequency |
You must have a version of python as indicated below or greater, but but this does not support python 3x
- python 2.7x
- Windows : Download
- Debian / Ubuntu:
sudo apt-get install python2.7
- matplotlib
pip install matplotlib- Debian / Ubuntu :
sudo apt-get install python-matplotlib - Fedora / Redhat :
sudo yum install python-matplotlib
- numpy (This is included in matplotlib)
pip install numpy
- astropy Optional Instalation
pip install --no-deps astropy
How install pip?
- Windows
- Linux or windows, after python install you must type in cmd or terminal
easy_install pip - Installation documentation
First Step
Copy the text of estadistica.py in any text editor, in windows for example you could use notepad, then paste it and save the file as any_name.py, with .py extension.
Now follows these steps:
You must write the information within
self.data, if you need exact calculation, you should add a decimal value in any number, example the first number is 60, change it by 60.0 and then the rest will be changed automatically when you run the script
You can add:
- numbers
- spaces
- jump of lines
- dot for decimals (decimal numbers)
Warning: Don't Use commas ,
self.data = """
60 66 77 70 66 68 57 70
66 52 75 65 69 71 58 66 67 74 61
63 69 80 59 66 70 67
78 75 64 71 81 62 64 69 68 72 83 56
65 74 67 54 65 65 69 61 67 73 57 62 67 68 63
67 71 68 76
61 62 63 76 61 67
67 64 72 64 73 79 58 67 71 68 59 69 70
66 62
63 66
"""
Optional Step
if you want see a pretty tables:
sees the penultimate line of code and change it.printme(0) by it.printme(1), because 1 enables astropy tables, which are nice, however if you cant install astropy could use 0 by default.
Executing file
How execute file?:
Datos ordenados - Organized information
[52, 54, 56, 57, 57, 58, 58, 59, 59, 60, 61, 61, 61, 61, 62, 62, 62, 62, 63, 63, 63, 63, 64, 64, 64, 64, 65, 65, 65, 65, 66, 66, 66, 66, 66, 66, 66, 67, 67, 67, 67, 67, 67, 67, 67, 67, 68, 68, 68, 68, 68, 69, 69, 69, 69, 69, 70, 70, 70, 70, 71, 71, 71, 71, 72, 72, 73, 73, 74, 74, 75, 75, 76, 76, 77, 78, 79, 80, 81, 83]
Frecuencia Simple - Simple frequency
[{52: 1}, {54: 1}, {56: 1}, {57: 2}, {58: 2}, {59: 2}, {60: 1}, {61: 4}, {62: 4}, {63: 4}, {64: 4}, {65: 4}, {66: 7}, {67: 9}, {68: 5}, {69: 5}, {70: 4}, {71: 4}, {72: 2}, {73: 2}, {74: 2}, {75: 2}, {76: 2}, {77: 1}, {78: 1}, {79: 1}, {80: 1}, {81: 1}, {83: 1}]
(Dato Minimo - Max value) : 52
(Dato Maximo - Min Value) : 83
(Viejo Rango - Old range) : 31
(Rango - Range) : 32
(Tamano de Clase- Size of class) : 7
(Vieja Amplitud - Old amplitude) : 4
(Amplitud - Amplitude) : 5
(Viejo Exceso - Old excess) : 3
(Exceso - Excess) : -3
(Tamano Muestra - Sample size) : 80
(Marca de clase - Mark of class) : [54, 59, 64, 69, 74, 79, 84]
El orden es: intervalos, frecuencia absoluta, frecuencia absoluta acomulada, frecuencia realtiva, marca de clase
Order is: Intervals, Absolute frequency, Cumulative absolute frequency, relative frequency, mark of class
Astropy Table
Intervals fi Fi fr xi
--------- --- --- ------- ---
52, 57 3 3 3.75 % 54
57, 62 11 14 13.75 % 59
62, 67 23 37 28.75 % 64
67, 72 27 64 33.75 % 69
72, 77 10 74 12.5 % 74
77, 82 5 79 6.25 % 79
82, 87 1 80 1.25 % 84
Default Table
________________________________________________________________________
| 52, 57 | 3 | 3 | 3.75 % | 54 |
| 57, 62 | 11 | 14 | 13.75 % | 59 |
| 62, 67 | 23 | 37 | 28.75 % | 64 |
| 67, 72 | 27 | 64 | 33.75 % | 69 |
| 72, 77 | 10 | 74 | 12.5 % | 74 |
| 77, 82 | 5 | 79 | 6.25 % | 79 |
| 82, 87 | 1 | 80 | 1.25 % | 84 |
_________________________________________________________________________
Intervals, fi , Fi , fr , xi
Figures
Code copyright 2016-2020 Mateo Bohorquez. Code released under the MIT license