Enter a title for the dataset
Choose a dataset input methods. Available options include:
Random data - this populates your dataset with random numbers between 0 and 100. You can specify the number of rows and columns for the random dataset.
CSV, TSV or TXT file - you will have the option upload a file within the current file size limit and also specify the header and whether or not the dataset is a contingency table. With contingency tables, the first column becomes a label for the rows. Currently with Picostat, there is limited support for contingency tables. Choose "Yes" to the Header option if the first line of the data contains titles for the rows. Also choose the Separator for the dataset. A separator is what breaks the data up. In some cases, a comma would separate data values in a row. You will also have the option to add documentation in the form keyboarded text and also uploaded documentation attachments. You can also specify a license for the documentation.
Copy and Paste. This selection contains many of the same fields as importing a file with an additional textarea to copy and paste data to.
Empty dataset. Start with a blank dataset and manually add data with the Picostat dataset editor.
Excel file - Choose this option if you would like to convert your Excel spreadsheet to a Picostat dataset. With this selection, you will have the option to specify whether to use the first row in the Excel file as column names. If you would like to choose a specific sheet to use, you can also specify with entering its name in the text input.
sas7bdat file - SAS is a powerful statistical software package that has its own proprietary file format. Choose this option if you are importing a SAS file.
SPSS sav file - SPSS is a statistical package owned by IBM. You can import SPSS files by choosing this option.
Choose whether or not the dataset contains a header. Some of the dataset input methods allow you to specify whether or not a Header exists on the file. Sometimes dataset files contain a Header as the first row which names the columns. If you choose "Yes" to this, the first row in the dataset will become column headers.
You can also add documentation and specify a documentation license. This can be used to help explain your dataset to those unfamiliar with it.
Choose whether or not to upload an supporting attachments.
Pass the captcha. To prevent spam submissions, Picostat has a captcha which is used to prevent automated submissions by bots.
Choose a privacy setting for the dataset. You can also specify whether or not the dataset is Public. If you uncheck this setting, only you and the Picostat administrator will be able to view the dataset.
Submit the form. Once the form is validated, you will be redirected to the dataset homepage where you can choose to edit or perform statistical operations on the dataset.
How To Perform Statistical Analysis with Picostat
Go to any dataset homepage. You can get a full list at the dashboard.
Near the top of the page there will be two drop downs. One for analysis and one for education. Here we will choose Analyis. Choose from one of the following:
Numerical Summaries - Here you can get the:
Minimum and Maximum
Standard deviation and Variance
Plot - a plot of two columns on the cartesian coordinate system
Boxplot - a Boxplot (box-and-whisker plot) of a column.
Correlation Coefficient - Compute the correlation coefficient between two columns.
Cumulative Frequency Histogram - Display a cumulative frequency histogram
Hollow Histogram - Plot two columns on the same histogram with a different color for each column.
Regression - Perform a simple linear regression and compute the p-value and regression line. Also plots the data with the regression line.
Stem and Leaf Plots - Plot a one or two-sided stem-and-leaf plot from one or two columns respectively.
Picostat is a web-based statistical application framework based on Drupal 8 and ℝ. Drupal can be used to manage user datasets and perform basic statistical analysis with a NoCode end-user interface ideal for non-technical users. Custom applications can be easily integrated into the system using webforms and ℝ language syntax.