-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathREADME.Rmd
54 lines (38 loc) · 1.4 KB
/
README.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# xplrrr
<!-- badges: start -->
[](https://github.com/UBC-MDS/xplrrr/actions)
<!-- badges: end -->
This package makes explatory data analysis (EDA) simple and seamless. EDA is a crucial phase in the data science workflow as it allows us get a fist glimpse of the data. It is important to identify statistical characteristics of the data so that we can properly set up the rest of the analysis.
## Installation
You can install the released version of xplrrr from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("xplrrr")
```
And the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("UBC-MDS/xplrrr")
```
## Example
This is a basic example which shows you how to solve a common problem:
```{r example}
library(xplrrr)
## basic example code
```
## Contributions
Contributions are welcome, and they are greatly appreciated! Every little bit
helps, and credit will always be given. See [CONTRIBUTING.md](CONTRIBUTING.md) for further details.
## Contributors
See [CONTRIBUTORS.md](CONTRIBUTORS.md)