Add screenshots data explorer

docs/components/hub.md

@@ -10,6 +10,10 @@ Below you can find the reusable components offered by Fondant.
 
     --8<-- "components/caption_images/README.md:1"
 
+??? "chunk_text"
+
+    --8<-- "components/chunk_text/README.md:1"
+
 ??? "download_images"
 
     --8<-- "components/download_images/README.md:1"
@@ -18,22 +22,18 @@ Below you can find the reusable components offered by Fondant.
 
     --8<-- "components/embed_images/README.md:1"
 
-??? "embedding_based_laion_retrieval"
+??? "embed_text"
 
-    --8<-- "components/embedding_based_laion_retrieval/README.md:1"
+    --8<-- "components/embed_text/README.md:1"
 
-??? "filter_comments"
+??? "embedding_based_laion_retrieval"
 
-    --8<-- "components/filter_comments/README.md:1"
+    --8<-- "components/embedding_based_laion_retrieval/README.md:1"
 
 ??? "filter_image_resolution"
 
     --8<-- "components/filter_image_resolution/README.md:1"
 
-??? "filter_line_length"
-
-    --8<-- "components/filter_line_length/README.md:1"
-
 ??? "image_cropping"
 
     --8<-- "components/image_cropping/README.md:1"
@@ -42,6 +42,10 @@ Below you can find the reusable components offered by Fondant.
 
     --8<-- "components/image_resolution_extraction/README.md:1"
 
+??? "index_weaviate"
+
+    --8<-- "components/index_weaviate/README.md:1"
+
 ??? "language_filter"
 
     --8<-- "components/language_filter/README.md:1"
@@ -62,10 +66,6 @@ Below you can find the reusable components offered by Fondant.
 
     --8<-- "components/minhash_generator/README.md:1"
 
-??? "pii_redaction"
-
-    --8<-- "components/pii_redaction/README.md:1"
-
 ??? "prompt_based_laion_retrieval"
 
     --8<-- "components/prompt_based_laion_retrieval/README.md:1"

docs/data_explorer.md

@@ -1,5 +1,15 @@
 # Data explorer
 
+## Data explorer UI
+
+The data explorer UI enables Fondant users to explore the inputs and outputs of their Fondant pipeline.
+
+The user can specify a pipeline and a specific pipeline run and component to explore. The user will then be able to explore the different subsets produced by by Fondant components.
+
+The chosen subset (and the columns within the subset) can be explored in 3 tabs.
+
+![data explorer](../art/data_explorer/data_explorer.png)
+
 ## How to use?
 You can setup the data explorer container with the `fondant explore` CLI command, which is installed together with the Fondant python package.
 
@@ -16,21 +26,19 @@ Example:
 ```bash
 fondant explore --base_path gs://foo/bar --auth-gcp
 ```
-## Data explorer UI
-
-The data explorer UI enables Fondant users to explore the inputs and outputs of their Fondant pipeline.
-
-The user can specify a pipeline and a specific pipeline run and component to explore. The user will then be able to explore the different subsets produced by by Fondant components.
-
-The chosen subset (and the columns within the subset) can be explored in 3 tabs.
 
 ### Sidebar
 In the sidebar, the user can specify the path to a manifest file. This will load the available subsets into a dropdown, from which the user can select one of the subsets. Finally, the columns within the subset are shown in a multiselect box, and can be used to remove / select the columns that are loaded into the exploration tabs.
+
 ### Data explorer Tab
 The data explorer shows an interactive table of the loaded subset DataFrame with on each row a sample. The table can be used to browse through a partition of the data, to visualize images inside image columns and more.
 
 ### Numeric analysis Tab
 The numerical analysis tab shows statistics of the numerical columns of the loaded subset (mean, std, percentiles, ...) in a table. In the second part of the tab, the user can choose one of the numerical columns for in depth exploration of the data by visualizing it in a variety of interactive plots.
 
+![data explorer](../art/data_explorer/data_explorer_numeric_analysis.png)
+
 ### Image explorer Tab
-The image explorer tab enables the user to choose one of the image columns and analyse these images.
+The image explorer tab enables the user to choose one of the image columns and analyse these images.
+
+![data explorer](../art/data_explorer/image_explorer.png)