diff --git a/app/pages/generate_root_system.py b/app/pages/generate_root_system.py
index e1e5c8b..a55cd9c 100644
--- a/app/pages/generate_root_system.py
+++ b/app/pages/generate_root_system.py
@@ -18,6 +18,7 @@
     build_collapsible,
     build_common_components,
     build_common_layout,
+    get_out_table_df,
 )
 from deeprootgen.pipeline import get_simulation_uuid
 
@@ -166,13 +167,9 @@ def save_runs(n_clicks: int, simulation_runs: list) -> None:
 def load_runs(list_of_contents: list, list_of_names: list) -> tuple:
     _, content_string = list_of_contents[0].split(",")
     decoded = base64.b64decode(content_string).decode("utf-8")
-    split_lines = decoded.split("\n")
-    split_lines.pop(0)
+    from io import StringIO
 
-    workflow_urls = []
-    for workflow_url in split_lines:
-        if workflow_url != "":
-            workflow_urls.append({"workflow_url": workflow_url})
+    workflow_urls = pd.read_csv(StringIO(decoded)).to_dict("records")
 
     toast_message = f"Loading run history from: {list_of_names[0]}"
     return [workflow_urls], True, toast_message
@@ -279,7 +276,6 @@ def run_root_model(
         timeout=0,
     )
 
-    simulation_uuid
     flow_run_id = str(flow_data.id)
     flow_name = flow_data.name
     simulation_tag = form_inputs["simulation_tag"]
@@ -295,7 +291,10 @@ def run_root_model(
 
     simulation_runs.append(
         {
-            "workflow_url": f"<a href='{prefect_flow_url}' target='_blank'>{prefect_flow_url}</a>"
+            "workflow": f"<a href='{prefect_flow_url}' target='_blank'>{flow_name}</a>",
+            "tag": simulation_tag,
+            "date": datetime.today().strftime("%Y-%m-%d-%H-%M"),
+            "seed": form_inputs["random_seed"],
         }
     )
 
@@ -343,7 +342,7 @@ def layout() -> html.Div:
         )
 
     input_components = dbc.Col([parameter_components, data_io_components])
-    simulation_run_df = pd.DataFrame([], columns=["workflow_url"])
+    simulation_run_df = get_out_table_df()
 
     simulation_results_data = {"simulation-runs-table": simulation_run_df}
 
diff --git a/deeprootgen/form/__init__.py b/deeprootgen/form/__init__.py
index 89b3de0..eaa4001 100644
--- a/deeprootgen/form/__init__.py
+++ b/deeprootgen/form/__init__.py
@@ -1 +1,6 @@
-from .components import build_collapsible, build_common_components, build_common_layout
+from .components import (
+    build_collapsible,
+    build_common_components,
+    build_common_layout,
+    get_out_table_df,
+)
diff --git a/deeprootgen/form/components.py b/deeprootgen/form/components.py
index 59aeb01..38949ba 100644
--- a/deeprootgen/form/components.py
+++ b/deeprootgen/form/components.py
@@ -9,6 +9,7 @@
 from pydoc import locate
 
 import dash_bootstrap_components as dbc
+import pandas as pd
 from dash import dcc, html
 
 
@@ -287,3 +288,14 @@ def build_common_layout(
         ),
     )
     return layout
+
+
+def get_out_table_df() -> pd.DataFrame:
+    """Get the default output table as a dataframe.
+
+    Returns:
+        pd.DataFrame:
+            The output table as a dataframe.
+    """
+    out_df = pd.DataFrame([], columns=["workflow", "tag", "date", "seed"])
+    return out_df
diff --git a/deeprootgen/pipeline/experiment.py b/deeprootgen/pipeline/experiment.py
index 053b6e2..df33724 100644
--- a/deeprootgen/pipeline/experiment.py
+++ b/deeprootgen/pipeline/experiment.py
@@ -12,6 +12,7 @@
 
 import mlflow
 import yaml
+from ydata_profiling import ProfileReport
 
 from ..data_model import RootSimulationModel
 from ..model import RootSystemSimulation
@@ -149,3 +150,8 @@ def log_simulation(
     outfile = osp.join(OUT_DIR, f"{time_now}-{task}_hgraph.html")
     fig.write_html(outfile)
     mlflow.log_artifact(outfile)
+
+    profile = ProfileReport(node_df, title="Root Model Report")
+    outfile = osp.join(OUT_DIR, f"{time_now}-{task}_data_profile.html")
+    profile.to_file(outfile)
+    mlflow.log_artifact(outfile)
diff --git a/poetry.lock b/poetry.lock
index 9d726cb..d6820b0 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1355,6 +1355,19 @@ files = [
 docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
 tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
+[[package]]
+name = "dacite"
+version = "1.8.1"
+description = "Simple creation of data classes from dictionaries."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "dacite-1.8.1-py3-none-any.whl", hash = "sha256:cc31ad6fdea1f49962ea42db9421772afe01ac5442380d9a99fcf3d188c61afe"},
+]
+
+[package.extras]
+dev = ["black", "coveralls", "mypy", "pre-commit", "pylint", "pytest (>=5)", "pytest-benchmark", "pytest-cov"]
+
 [[package]]
 name = "dash"
 version = "2.17.1"
@@ -2457,6 +2470,16 @@ files = [
     {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
 ]
 
+[[package]]
+name = "htmlmin"
+version = "0.1.12"
+description = "An HTML Minifier"
+optional = false
+python-versions = "*"
+files = [
+    {file = "htmlmin-0.1.12.tar.gz", hash = "sha256:50c1ef4630374a5d723900096a961cff426dff46b48f34d194a81bbe14eca178"},
+]
+
 [[package]]
 name = "httpcore"
 version = "1.0.5"
@@ -2586,6 +2609,23 @@ files = [
     {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
 ]
 
+[[package]]
+name = "imagehash"
+version = "4.3.1"
+description = "Image Hashing library"
+optional = false
+python-versions = "*"
+files = [
+    {file = "ImageHash-4.3.1-py2.py3-none-any.whl", hash = "sha256:5ad9a5cde14fe255745a8245677293ac0d67f09c330986a351f34b614ba62fb5"},
+    {file = "ImageHash-4.3.1.tar.gz", hash = "sha256:7038d1b7f9e0585beb3dd8c0a956f02b95a346c0b5f24a9e8cc03ebadaf0aa70"},
+]
+
+[package.dependencies]
+numpy = "*"
+pillow = "*"
+PyWavelets = "*"
+scipy = "*"
+
 [[package]]
 name = "imagesize"
 version = "1.4.1"
@@ -3154,6 +3194,36 @@ cli = ["fire"]
 docs = ["requests (>=2.0.0)"]
 typing = ["mypy (>=1.0.0)", "types-setuptools"]
 
+[[package]]
+name = "llvmlite"
+version = "0.43.0"
+description = "lightweight wrapper around basic LLVM functionality"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "llvmlite-0.43.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a289af9a1687c6cf463478f0fa8e8aa3b6fb813317b0d70bf1ed0759eab6f761"},
+    {file = "llvmlite-0.43.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6d4fd101f571a31acb1559ae1af30f30b1dc4b3186669f92ad780e17c81e91bc"},
+    {file = "llvmlite-0.43.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7d434ec7e2ce3cc8f452d1cd9a28591745de022f931d67be688a737320dfcead"},
+    {file = "llvmlite-0.43.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6912a87782acdff6eb8bf01675ed01d60ca1f2551f8176a300a886f09e836a6a"},
+    {file = "llvmlite-0.43.0-cp310-cp310-win_amd64.whl", hash = "sha256:14f0e4bf2fd2d9a75a3534111e8ebeb08eda2f33e9bdd6dfa13282afacdde0ed"},
+    {file = "llvmlite-0.43.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3e8d0618cb9bfe40ac38a9633f2493d4d4e9fcc2f438d39a4e854f39cc0f5f98"},
+    {file = "llvmlite-0.43.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e0a9a1a39d4bf3517f2af9d23d479b4175ead205c592ceeb8b89af48a327ea57"},
+    {file = "llvmlite-0.43.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c1da416ab53e4f7f3bc8d4eeba36d801cc1894b9fbfbf2022b29b6bad34a7df2"},
+    {file = "llvmlite-0.43.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:977525a1e5f4059316b183fb4fd34fa858c9eade31f165427a3977c95e3ee749"},
+    {file = "llvmlite-0.43.0-cp311-cp311-win_amd64.whl", hash = "sha256:d5bd550001d26450bd90777736c69d68c487d17bf371438f975229b2b8241a91"},
+    {file = "llvmlite-0.43.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f99b600aa7f65235a5a05d0b9a9f31150c390f31261f2a0ba678e26823ec38f7"},
+    {file = "llvmlite-0.43.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:35d80d61d0cda2d767f72de99450766250560399edc309da16937b93d3b676e7"},
+    {file = "llvmlite-0.43.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eccce86bba940bae0d8d48ed925f21dbb813519169246e2ab292b5092aba121f"},
+    {file = "llvmlite-0.43.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:df6509e1507ca0760787a199d19439cc887bfd82226f5af746d6977bd9f66844"},
+    {file = "llvmlite-0.43.0-cp312-cp312-win_amd64.whl", hash = "sha256:7a2872ee80dcf6b5dbdc838763d26554c2a18aa833d31a2635bff16aafefb9c9"},
+    {file = "llvmlite-0.43.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9cd2a7376f7b3367019b664c21f0c61766219faa3b03731113ead75107f3b66c"},
+    {file = "llvmlite-0.43.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:18e9953c748b105668487b7c81a3e97b046d8abf95c4ddc0cd3c94f4e4651ae8"},
+    {file = "llvmlite-0.43.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:74937acd22dc11b33946b67dca7680e6d103d6e90eeaaaf932603bec6fe7b03a"},
+    {file = "llvmlite-0.43.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc9efc739cc6ed760f795806f67889923f7274276f0eb45092a1473e40d9b867"},
+    {file = "llvmlite-0.43.0-cp39-cp39-win_amd64.whl", hash = "sha256:47e147cdda9037f94b399bf03bfd8a6b6b1f2f90be94a454e3386f006455a9b4"},
+    {file = "llvmlite-0.43.0.tar.gz", hash = "sha256:ae2b5b5c3ef67354824fb75517c8db5fbe93bc02cd9671f3c62271626bc041d5"},
+]
+
 [[package]]
 name = "locket"
 version = "1.0.0"
@@ -3686,6 +3756,17 @@ files = [
     {file = "multidict-6.0.5.tar.gz", hash = "sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da"},
 ]
 
+[[package]]
+name = "multimethod"
+version = "1.12"
+description = "Multiple argument dispatching."
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "multimethod-1.12-py3-none-any.whl", hash = "sha256:fd0c473c43558908d97cc06e4d68e8f69202f167db46f7b4e4058893e7dbdf60"},
+    {file = "multimethod-1.12.tar.gz", hash = "sha256:8db8ef2a8d2a247e3570cc23317680892fdf903d84c8c1053667c8e8f7671a67"},
+]
+
 [[package]]
 name = "multipledispatch"
 version = "1.0.0"
@@ -3836,6 +3917,40 @@ files = [
     {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
 ]
 
+[[package]]
+name = "numba"
+version = "0.60.0"
+description = "compiling Python code using LLVM"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "numba-0.60.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d761de835cd38fb400d2c26bb103a2726f548dc30368853121d66201672e651"},
+    {file = "numba-0.60.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:159e618ef213fba758837f9837fb402bbe65326e60ba0633dbe6c7f274d42c1b"},
+    {file = "numba-0.60.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:1527dc578b95c7c4ff248792ec33d097ba6bef9eda466c948b68dfc995c25781"},
+    {file = "numba-0.60.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fe0b28abb8d70f8160798f4de9d486143200f34458d34c4a214114e445d7124e"},
+    {file = "numba-0.60.0-cp310-cp310-win_amd64.whl", hash = "sha256:19407ced081d7e2e4b8d8c36aa57b7452e0283871c296e12d798852bc7d7f198"},
+    {file = "numba-0.60.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a17b70fc9e380ee29c42717e8cc0bfaa5556c416d94f9aa96ba13acb41bdece8"},
+    {file = "numba-0.60.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3fb02b344a2a80efa6f677aa5c40cd5dd452e1b35f8d1c2af0dfd9ada9978e4b"},
+    {file = "numba-0.60.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5f4fde652ea604ea3c86508a3fb31556a6157b2c76c8b51b1d45eb40c8598703"},
+    {file = "numba-0.60.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4142d7ac0210cc86432b818338a2bc368dc773a2f5cf1e32ff7c5b378bd63ee8"},
+    {file = "numba-0.60.0-cp311-cp311-win_amd64.whl", hash = "sha256:cac02c041e9b5bc8cf8f2034ff6f0dbafccd1ae9590dc146b3a02a45e53af4e2"},
+    {file = "numba-0.60.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d7da4098db31182fc5ffe4bc42c6f24cd7d1cb8a14b59fd755bfee32e34b8404"},
+    {file = "numba-0.60.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:38d6ea4c1f56417076ecf8fc327c831ae793282e0ff51080c5094cb726507b1c"},
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+    {file = "numba-0.60.0-cp312-cp312-win_amd64.whl", hash = "sha256:f75262e8fe7fa96db1dca93d53a194a38c46da28b112b8a4aca168f0df860347"},
+    {file = "numba-0.60.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:01ef4cd7d83abe087d644eaa3d95831b777aa21d441a23703d649e06b8e06b74"},
+    {file = "numba-0.60.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:819a3dfd4630d95fd574036f99e47212a1af41cbcb019bf8afac63ff56834449"},
+    {file = "numba-0.60.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0b983bd6ad82fe868493012487f34eae8bf7dd94654951404114f23c3466d34b"},
+    {file = "numba-0.60.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c151748cd269ddeab66334bd754817ffc0cabd9433acb0f551697e5151917d25"},
+    {file = "numba-0.60.0-cp39-cp39-win_amd64.whl", hash = "sha256:3031547a015710140e8c87226b4cfe927cac199835e5bf7d4fe5cb64e814e3ab"},
+    {file = "numba-0.60.0.tar.gz", hash = "sha256:5df6158e5584eece5fc83294b949fd30b9f1125df7708862205217e068aabf16"},
+]
+
+[package.dependencies]
+llvmlite = "==0.43.*"
+numpy = ">=1.22,<2.1"
+
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -4415,6 +4530,24 @@ files = [
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
 ]
 
+[[package]]
+name = "patsy"
+version = "0.5.6"
+description = "A Python package for describing statistical models and for building design matrices."
+optional = false
+python-versions = "*"
+files = [
+    {file = "patsy-0.5.6-py2.py3-none-any.whl", hash = "sha256:19056886fd8fa71863fa32f0eb090267f21fb74be00f19f5c70b2e9d76c883c6"},
+    {file = "patsy-0.5.6.tar.gz", hash = "sha256:95c6d47a7222535f84bff7f63d7303f2e297747a598db89cf5c67f0c0c7d2cdb"},
+]
+
+[package.dependencies]
+numpy = ">=1.4"
+six = "*"
+
+[package.extras]
+test = ["pytest", "pytest-cov", "scipy"]
+
 [[package]]
 name = "pendulum"
 version = "2.1.2"
@@ -4477,6 +4610,46 @@ files = [
 [package.extras]
 docs = ["Sphinx (>=4.1.2,<5.0.0)", "furo (>=2021.8.17-beta.43,<2022.0.0)", "myst-parser (>=0.15.1,<0.16.0)", "sphinx-autobuild (>=2021.3.14,<2022.0.0)", "sphinx-copybutton (>=0.4.0,<0.5.0)"]
 
+[[package]]
+name = "phik"
+version = "0.12.4"
+description = "Phi_K correlation analyzer library"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "phik-0.12.4-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:778d00e33762c1e85681f65ef011933faabdc80ab53262f221cccf75eea535d5"},
+    {file = "phik-0.12.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d92cc961ee60b317896589bab087901440b2bc749dbd5e266bc3dfe25dbff19a"},
+    {file = "phik-0.12.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f48d0dd94323401ed069bbaa673a879f3f002e5ef6fabda19eb3d0a5f8e3947f"},
+    {file = "phik-0.12.4-cp310-cp310-win_amd64.whl", hash = "sha256:ea5030640fda8380d7db9ea28fbde37a1565c0b1699bcb7152d6772a6ad278af"},
+    {file = "phik-0.12.4-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:2b2f518310c6f3144a5e3d1bc3489c8be17ebe4da6b8520f4e01fa3e544b0fed"},
+    {file = "phik-0.12.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4f7a6614184eac1b55100c4a7c9899f370ae97599b41b2982f59f7e1da9511cd"},
+    {file = "phik-0.12.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ea158b31d51e34153241bd3cac24c9a9a463af575c063abb8ca8d30352b4b12"},
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+type-geometry = ["shapely"]
+type-image-path = ["Pillow", "imagehash"]
+
 [[package]]
 name = "waitress"
 version = "3.0.0"
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 ]
 
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+python-versions = ">=3.7"
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+    {file = "wordcloud-1.9.3.tar.gz", hash = "sha256:a9aa738d63ed674a40f0cc31adb83f4ca5fc195f03a6aff6e010d1f5807d1c58"},
+]
+
+[package.dependencies]
+matplotlib = "*"
+numpy = ">=1.6.1"
+pillow = "*"
+
 [[package]]
 name = "wrapt"
 version = "1.16.0"
@@ -7846,6 +8239,43 @@ files = [
 idna = ">=2.0"
 multidict = ">=4.0"
 
+[[package]]
+name = "ydata-profiling"
+version = "4.10.0"
+description = "Generate profile report for pandas DataFrame"
+optional = false
+python-versions = "<3.13,>=3.7"
+files = [
+    {file = "ydata-profiling-4.10.0.tar.gz", hash = "sha256:c36693d97b0641544e169e2022a95dd76d59faeeee87abcc41ea33b71d1d4817"},
+    {file = "ydata_profiling-4.10.0-py2.py3-none-any.whl", hash = "sha256:569231cd35f8f260829a96129ae3ed1a177ec879b290c2d6fdfde40fe993c5ed"},
+]
+
+[package.dependencies]
+dacite = ">=1.8"
+htmlmin = "0.1.12"
+imagehash = "4.3.1"
+jinja2 = ">=2.11.1,<3.2"
+matplotlib = ">=3.5,<3.10"
+multimethod = ">=1.4,<2"
+numba = ">=0.56.0,<1"
+numpy = ">=1.16.0,<2.2"
+pandas = ">1.1,<1.4.0 || >1.4.0,<3"
+phik = ">=0.11.1,<0.13"
+pydantic = ">=2"
+PyYAML = ">=5.0.0,<6.1"
+requests = ">=2.24.0,<3"
+scipy = ">=1.4.1,<1.14"
+seaborn = ">=0.10.1,<0.14"
+statsmodels = ">=0.13.2,<1"
+tqdm = ">=4.48.2,<5"
+typeguard = ">=3,<5"
+visions = {version = ">=0.7.5,<0.7.7", extras = ["type-image-path"]}
+wordcloud = ">=1.9.3"
+
+[package.extras]
+notebook = ["ipywidgets (>=7.5.1)", "jupyter (>=1.0.0)"]
+unicode = ["tangled-up-in-unicode (==0.2.0)"]
+
 [[package]]
 name = "zict"
 version = "3.0.0"
@@ -7875,4 +8305,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.11"
-content-hash = "33d361da30a32abdd47670537a37732d3f741621828bc7b651bd1dd983f59a2f"
+content-hash = "90c940afdc3485480ef8c2b0ae3148866ed041bbf8b768da49a7db594887b300"
diff --git a/pyproject.toml b/pyproject.toml
index a034523..d1e7a75 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -51,6 +51,7 @@ dash-bootstrap-templates = "^1.2.3"
 salib = "^1.5.0"
 matplotlib = "^3.9.2"
 dash-daq = "^0.5.0"
+ydata-profiling = "^4.10.0"
 
 
 [tool.poetry.group.torch.dependencies]