diff --git a/README.md b/README.md index 37ea3a7..8f8b09b 100644 --- a/README.md +++ b/README.md @@ -32,7 +32,9 @@ curl -sL https://git.io/ISLANDScsv \ | uplot bar -d, -t "Areas of the World's Major Landmasses" ``` -![barplot](https://user-images.githubusercontent.com/5798442/101999903-d36a2d00-3d24-11eb-9361-b89116f44122.png) +

+barplot +

### histogram @@ -43,7 +45,10 @@ echo -e "from numpy import random;" \ | python \ | uplot hist --nbins 20 ``` -![histogram](https://user-images.githubusercontent.com/5798442/101999820-21cafc00-3d24-11eb-86db-e410d19b07df.png) + +

+ histogram +

### lineplot @@ -53,7 +58,9 @@ curl -sL https://git.io/AirPassengers \ | uplot line -d, -w 50 -h 15 -t AirPassengers --xlim 1950,1960 --ylim 0,600 ``` -![lineplot](https://user-images.githubusercontent.com/5798442/101999825-24c5ec80-3d24-11eb-99f4-c642e8d221bc.png) +

+ lineplot +

### scatter @@ -63,7 +70,9 @@ curl -sL https://git.io/IRIStsv \ | uplot scatter -H -t IRIS ``` -![scatter](https://user-images.githubusercontent.com/5798442/101999827-27284680-3d24-11eb-9903-551857eaa69c.png) +

+ scatter +

### density @@ -73,7 +82,9 @@ curl -sL https://git.io/IRIStsv \ | uplot density -H -t IRIS ``` -![density](https://user-images.githubusercontent.com/5798442/101999828-2abbcd80-3d24-11eb-902c-2f44266fa6ae.png) +

+ density +

### boxplot @@ -83,7 +94,9 @@ curl -sL https://git.io/IRIStsv \ | uplot boxplot -H -t IRIS ``` -![boxplot](https://user-images.githubusercontent.com/5798442/101999830-2e4f5480-3d24-11eb-8891-728c18bf5b35.png) +

+ boxplot +

### count @@ -97,7 +110,9 @@ cat gencode.v35.annotation.gff3 \ uplot count -t "The number of human gene annotations per chromosome" -c blue ``` -![count](https://user-images.githubusercontent.com/5798442/101999832-30b1ae80-3d24-11eb-96fe-e5000bed1f5c.png) +

+ count +

Note: `count` is not very fast because it runs in a Ruby script. This is fine in most cases, as long as the data size is small. If you want to visualize huge data, it is faster to use a combination of common Unix commands as shown below.