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"
```
-
+
+
+
### histogram
@@ -43,7 +45,10 @@ echo -e "from numpy import random;" \
| python \
| uplot hist --nbins 20
```
-
+
+
+
+
### 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
```
-
+
+
+
### scatter
@@ -63,7 +70,9 @@ curl -sL https://git.io/IRIStsv \
| uplot scatter -H -t IRIS
```
-
+
+
+
### density
@@ -73,7 +82,9 @@ curl -sL https://git.io/IRIStsv \
| uplot density -H -t IRIS
```
-
+
+
+
### boxplot
@@ -83,7 +94,9 @@ curl -sL https://git.io/IRIStsv \
| uplot boxplot -H -t IRIS
```
-
+
+
+
### count
@@ -97,7 +110,9 @@ cat gencode.v35.annotation.gff3 \
uplot count -t "The number of human gene annotations per chromosome" -c blue
```
-
+
+
+
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.