diff --git a/datafusion-examples/examples/dataframe.rs b/datafusion-examples/examples/dataframe.rs
index 027ff9970057..26fddcd226a9 100644
--- a/datafusion-examples/examples/dataframe.rs
+++ b/datafusion-examples/examples/dataframe.rs
@@ -51,10 +51,7 @@ async fn main() -> Result<()> {
 
     // Reading PARQUET file and print describe
     let parquet_df = ctx
-        .read_parquet(
-            &format!("{testdata}/alltypes_plain.parquet"),
-            ParquetReadOptions::default(),
-        )
+        .read_parquet(filename, ParquetReadOptions::default())
         .await?;
     parquet_df.describe().await.unwrap().show().await?;
 
diff --git a/datafusion/core/src/dataframe.rs b/datafusion/core/src/dataframe.rs
index 30e14a2afa59..82f8deb3c20d 100644
--- a/datafusion/core/src/dataframe.rs
+++ b/datafusion/core/src/dataframe.rs
@@ -29,7 +29,10 @@ use parquet::file::properties::WriterProperties;
 
 use datafusion_common::from_slice::FromSlice;
 use datafusion_common::{Column, DFSchema, ScalarValue};
-use datafusion_expr::{TableProviderFilterPushDown, UNNAMED_TABLE};
+use datafusion_expr::{
+    avg, count, is_null, max, median, min, stddev, TableProviderFilterPushDown,
+    UNNAMED_TABLE,
+};
 
 use crate::arrow::datatypes::Schema;
 use crate::arrow::datatypes::SchemaRef;
@@ -324,7 +327,7 @@ impl DataFrame {
     pub async fn describe(self) -> Result<Self> {
         //the functions now supported
         let supported_describe_functions =
-            vec!["count", "null_count", "mean", "min", "max"];
+            vec!["count", "null_count", "mean", "std", "min", "max", "median"];
 
         let fields_iter = self.schema().fields().iter();
 
@@ -349,7 +352,7 @@ impl DataFrame {
                     vec![],
                     fields_iter
                         .clone()
-                        .map(|f| datafusion_expr::count(col(f.name())).alias(f.name()))
+                        .map(|f| count(col(f.name())).alias(f.name()))
                         .collect::<Vec<_>>(),
                 )?
                 .collect()
@@ -360,12 +363,7 @@ impl DataFrame {
                     vec![],
                     fields_iter
                         .clone()
-                        .map(|f| {
-                            datafusion_expr::count(datafusion_expr::is_null(
-                                col(f.name()),
-                            ))
-                            .alias(f.name())
-                        })
+                        .map(|f| count(is_null(col(f.name()))).alias(f.name()))
                         .collect::<Vec<_>>(),
                 )?
                 .collect()
@@ -377,7 +375,19 @@ impl DataFrame {
                     fields_iter
                         .clone()
                         .filter(|f| f.data_type().is_numeric())
-                        .map(|f| datafusion_expr::avg(col(f.name())).alias(f.name()))
+                        .map(|f| avg(col(f.name())).alias(f.name()))
+                        .collect::<Vec<_>>(),
+                )?
+                .collect()
+                .await?,
+            // std aggregation
+            self.clone()
+                .aggregate(
+                    vec![],
+                    fields_iter
+                        .clone()
+                        .filter(|f| f.data_type().is_numeric())
+                        .map(|f| stddev(col(f.name())).alias(f.name()))
                         .collect::<Vec<_>>(),
                 )?
                 .collect()
@@ -391,7 +401,7 @@ impl DataFrame {
                         .filter(|f| {
                             !matches!(f.data_type(), DataType::Binary | DataType::Boolean)
                         })
-                        .map(|f| datafusion_expr::min(col(f.name())).alias(f.name()))
+                        .map(|f| min(col(f.name())).alias(f.name()))
                         .collect::<Vec<_>>(),
                 )?
                 .collect()
@@ -405,7 +415,19 @@ impl DataFrame {
                         .filter(|f| {
                             !matches!(f.data_type(), DataType::Binary | DataType::Boolean)
                         })
-                        .map(|f| datafusion_expr::max(col(f.name())).alias(f.name()))
+                        .map(|f| max(col(f.name())).alias(f.name()))
+                        .collect::<Vec<_>>(),
+                )?
+                .collect()
+                .await?,
+            // median aggregation
+            self.clone()
+                .aggregate(
+                    vec![],
+                    fields_iter
+                        .clone()
+                        .filter(|f| f.data_type().is_numeric())
+                        .map(|f| median(col(f.name())).alias(f.name()))
                         .collect::<Vec<_>>(),
                 )?
                 .collect()
diff --git a/datafusion/core/tests/dataframe.rs b/datafusion/core/tests/dataframe.rs
index 85d968398efd..ede74b2272ce 100644
--- a/datafusion/core/tests/dataframe.rs
+++ b/datafusion/core/tests/dataframe.rs
@@ -49,15 +49,17 @@ async fn describe() -> Result<()> {
     let describe_record_batch = df.describe().await.unwrap().collect().await.unwrap();
     #[rustfmt::skip]
         let expected = vec![
-        "+------------+-----+----------+-------------+--------------+---------+------------+-------------------+------------+-----------------+------------+---------------------+",
-        "| describe   | id  | bool_col | tinyint_col | smallint_col | int_col | bigint_col | float_col         | double_col | date_string_col | string_col | timestamp_col       |",
-        "+------------+-----+----------+-------------+--------------+---------+------------+-------------------+------------+-----------------+------------+---------------------+",
-        "| count      | 8.0 | 8        | 8.0         | 8.0          | 8.0     | 8.0        | 8.0               | 8.0        | 8               | 8          | 8                   |",
-        "| null_count | 8.0 | 8        | 8.0         | 8.0          | 8.0     | 8.0        | 8.0               | 8.0        | 8               | 8          | 8                   |",
-        "| mean       | 3.5 | null     | 0.5         | 0.5          | 0.5     | 5.0        | 0.550000011920929 | 5.05       | null            | null       | null                |",
-        "| min        | 0.0 | null     | 0.0         | 0.0          | 0.0     | 0.0        | 0.0               | 0.0        | null            | null       | 2009-01-01T00:00:00 |",
-        "| max        | 7.0 | null     | 1.0         | 1.0          | 1.0     | 10.0       | 1.100000023841858 | 10.1       | null            | null       | 2009-04-01T00:01:00 |",
-        "+------------+-----+----------+-------------+--------------+---------+------------+-------------------+------------+-----------------+------------+---------------------+",
+        "+------------+--------------------+----------+--------------------+--------------------+--------------------+--------------------+--------------------+-------------------+-----------------+------------+---------------------+",
+        "| describe   | id                 | bool_col | tinyint_col        | smallint_col       | int_col            | bigint_col         | float_col          | double_col        | date_string_col | string_col | timestamp_col       |",
+        "+------------+--------------------+----------+--------------------+--------------------+--------------------+--------------------+--------------------+-------------------+-----------------+------------+---------------------+",
+        "| count      | 8.0                | 8        | 8.0                | 8.0                | 8.0                | 8.0                | 8.0                | 8.0               | 8               | 8          | 8                   |",
+        "| null_count | 8.0                | 8        | 8.0                | 8.0                | 8.0                | 8.0                | 8.0                | 8.0               | 8               | 8          | 8                   |",
+        "| mean       | 3.5                | null     | 0.5                | 0.5                | 0.5                | 5.0                | 0.550000011920929  | 5.05              | null            | null       | null                |",
+        "| std        | 2.4494897427831783 | null     | 0.5345224838248488 | 0.5345224838248488 | 0.5345224838248488 | 5.3452248382484875 | 0.5879747449513427 | 5.398677086630973 | null            | null       | null                |",
+        "| min        | 0.0                | null     | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0               | null            | null       | 2009-01-01T00:00:00 |",
+        "| max        | 7.0                | null     | 1.0                | 1.0                | 1.0                | 10.0               | 1.100000023841858  | 10.1              | null            | null       | 2009-04-01T00:01:00 |",
+        "| median     | 3.0                | null     | 0.0                | 0.0                | 0.0                | 5.0                | 0.550000011920929  | 5.05              | null            | null       | null                |",
+        "+------------+--------------------+----------+--------------------+--------------------+--------------------+--------------------+--------------------+-------------------+-----------------+------------+---------------------+",
     ];
     assert_batches_eq!(expected, &describe_record_batch);