Comments (5)
Hello Rohit! Thanks for the feedback. I am currently working on improving the documentation to outline all the different input arguments and what they do. It should be ready in the next few weeks. It is being tracked in issue #39.
I plan to address many of your other customization requests in the 3.0 update that will allow for setting user preferences.
I will like to also be able to determine what graphs I want to use when comparing variables.
Can you explain how you imagine this working?
from sci-analysis.
Hello @rohkamat123 ,
Just wanted to let you know I haven't forgotten about this issue and am still working on the documentation. It is about 75% complete and covers all the current valid arguments for the analyze()
function. I am still working on descriptions of the different analysis types, graphs, and tests performed which should make sci-analysis easier to understand for newcomers.
from sci-analysis.
Thank You @cmmorrow for the quick response! So in regards to customizing graphs it would be great if I could state whether I want a bar chart, box plot, histogram, etc. So for example analyze(xdata= whatever, ydata=whatever, plot='bar') it would plot out a bar. Being able to decide what type of plot I want when using the analyze function will be great!
from sci-analysis.
Thank You @cmmorrow for all the work that you are doing! I am excited to see the updates you have. I may have told you this, but I also recommend to get sci-analysis conda approved as well.
Here is the link of an article to make conda package!: https://medium.com/@giswqs/building-a-conda-package-and-uploading-it-to-anaconda-cloud-6a3abd1c5c52
from sci-analysis.
Hello @rohkamat123,
I have updated and released the detailed documentation. Please take a look when you have a chance and let me know what you think.
from sci-analysis.
Related Issues (20)
- Distribution Analysis raises a UserError in matplotlib 2.1.0 HOT 1
- Tukey circle graph in Oneway plot is not flush with the boxplot and quantiles plots. HOT 1
- Minimum Size Error is raised on Mann Whitney Test with n = 30 per group
- Erroneous slope and intercept values HOT 2
- Categorical order doesn't appear to work in analyze() HOT 2
- MinimumSizeError is raised when a group is sized 1 or 2
- Highlighting groups and individual labels doesn't show the labels for the overlapping points.
- Flatten inner lists when passed to the highlight arg
- Add Group Categorical Analysis
- Code coverage analysis and improvement
- Documentation improvements
- Linear Regression returns correlation coefficient in R^2 row HOT 1
- Image Comparison Unit Tests
- Convert existing tests to pytest
- Original bool dtype pandas Series is being mutated by Categorical
- Update tests to support pandas 0.25
- Allow for custom colors in charts
- Allow for custom hypothesis tests
- Tukey Kramer circle calculation bug
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from sci-analysis.