diff --git a/_quarto.yml b/_quarto.yml index 20f902d..64be281 100644 --- a/_quarto.yml +++ b/_quarto.yml @@ -7,6 +7,7 @@ project: - README.md - reports - dashboard.qmd + - docs format: html: @@ -32,6 +33,9 @@ website: - text: Knowledge Base icon: book href: reports + - text: Tutorial + icon: bi-journal + href: docs/tutorial.html tools: - icon: twitter href: https://twitter.com/davidgasquez diff --git a/dashboard.qmd b/dashboard.qmd index e1bc74b..b8cc691 100644 --- a/dashboard.qmd +++ b/dashboard.qmd @@ -12,7 +12,7 @@ This Dashboard was made by [Bob Rudis](https://dailyfinds.hrbrmstr.dev/p/drop-36 ```{ojs} //| output: false -jsonURL = "https://raw.githubusercontent.com/davidgasquez/datadex/gh-pages/country-data.json" +jsonURL = "https://bafybeihossdpesleq77dzptgtu23hfoayl4g73lvwjqxq65ngvzypz6rp4.ipfs.w3s.link/ipfs/bafybeihossdpesleq77dzptgtu23hfoayl4g73lvwjqxq65ngvzypz6rp4/country-data.json" countryData = await fetch(jsonURL).then(response => response.json()) ``` diff --git a/datadex/assets.py b/datadex/assets.py index 4847127..634eb05 100644 --- a/datadex/assets.py +++ b/datadex/assets.py @@ -9,3 +9,11 @@ def raw_threatened_animal_species() -> pd.DataFrame: "https://raw.githubusercontent.com/datonic/threatened-animal-species/main/datapackage.yaml" ) return p.get_resource("threatened-species").to_pandas() # type: ignore + + +@asset +def raw_owid_co2_data() -> pd.DataFrame: + co2_owid_url = ( + "https://raw.githubusercontent.com/owid/co2-data/master/owid-co2-data.csv" + ) + return pd.read_csv(co2_owid_url) diff --git a/datadex/utils.py b/datadex/utils.py index 1223747..c29ca95 100644 --- a/datadex/utils.py +++ b/datadex/utils.py @@ -1,2 +1,14 @@ +import os + +import duckdb + +db_dir = os.path.dirname(os.path.abspath(__file__)) + "/../data/" + + def custom_f(): return 42 + + +def query(sql): + with duckdb.connect(database=f"{db_dir}/local.duckdb") as con: + return con.sql(sql).df() diff --git a/dbt/models/climate/climate_owid_co2_by_country.sql b/dbt/models/climate/climate_owid_co2_by_country.sql new file mode 100644 index 0000000..8b74cea --- /dev/null +++ b/dbt/models/climate/climate_owid_co2_by_country.sql @@ -0,0 +1 @@ +select country, iso_code, year, co2 from {{ source("public", "raw_owid_co2_data") }} diff --git a/dbt/models/climate/sources.yml b/dbt/models/sources.yml similarity index 86% rename from dbt/models/climate/sources.yml rename to dbt/models/sources.yml index 3d6c3c6..c72b5a4 100644 --- a/dbt/models/climate/sources.yml +++ b/dbt/models/sources.yml @@ -20,3 +20,7 @@ sources: meta: dagster: asset_key: ["raw_threatened_animal_species"] + - name: raw_owid_co2_data + meta: + dagster: + asset_key: ["raw_owid_co2_data"] diff --git a/docs/tutorial.md b/docs/tutorial.md new file mode 100644 index 0000000..be60f81 --- /dev/null +++ b/docs/tutorial.md @@ -0,0 +1,63 @@ +# Datadex Tutorial + +Let's ingest and model some open data. We'll cover all the basics to get you started with Datadex. If you're not familiar with [dbt](https://docs.getdbt.com/) or [Dagster](Dagster), I recommend you to check their tutorials to get a sense of how these tools work. + +## 📦 Adding Data Sources + +The first thing is to add your desired dataset to Datadex. To do that, you'll need to create a new Dagster Asset in `assets.py`. You'll need to write a Python function that returns a DataFrame. You can do anything and read from anywhere as long as you return a DataFrame. + +```python +@asset +def raw_owid_co2_data() -> pd.DataFrame: + co2_owid_url = "https://raw.githubusercontent.com/owid/co2-data/master/owid-co2-data.csv" + return df.read_csv(co2_owid_url) +``` + +This will make a new asset appear in the Dagster UI (available at [localhost:3000](http://127.0.0.1:3000/) after running `make dev`). You can now select it and click "Materialize selected" to run the function and save the resulting DataFrame to our local DuckDB database. + +Once the asset is materialized, you can start querying it. + + +```python +>>> from datadex.utils import query +>>> query("select count(*) from public.raw_owid_co2_data") + count_star() +0 50598 +``` + +## 📊 Modeling Data + +Once the data is available in the local DuckDB database, you can start modeling it. You can continue using Dagster or switch to dbt. Let's explore the dbt side now. + +We want to make dbt able to read the dataset Dagster materialized. To do that, we need to add a new table source to the `sources.yml`: + +```yaml +version: 2 +sources: + - name: public + - name: raw_owid_co2_data + meta: + dagster: + asset_key: ["raw_owid_co2_data"] +``` + +Now we can create our SQL models referencing the source we just created. This is a simple query on `climate_owid_co2_by_country.sql`: + +```sql +select country, iso_code, year, co2 from {{ source("public", "raw_owid_co2_data") }} +``` + +To run this model, we need to refresh the Dagster definitions on `Reload definitions` and materialize the new `dbt` node. That will kick off a dbt run and materialize the resulting table as parquet files (due to the `external` materialization in the `dbt_project.yml` configuration). + +## 📈 Using Data + +Finally, we can use the data in a notebook. Let's say we want to plot the CO2 emissions for a given country. We can use the `climate_owid_co2_by_country` table we just created: + +```python +from datadex.utils import query + +df = query("select * from climate_owid_co2_by_country where country = 'World'") +_ = df.plot(x="year", y="co2", kind="line") +``` + +That will plot the CO2 emissions for the whole world! diff --git a/reports/2023-01-01-Datadex.ipynb b/reports/2023-01-01-Datadex.ipynb index e3fd20e..ae93fa1 100644 --- a/reports/2023-01-01-Datadex.ipynb +++ b/reports/2023-01-01-Datadex.ipynb @@ -13,7 +13,7 @@ " code-fold: true\n", " code-tools: true\n", " toc: true\n", - "---" + "---\n" ] }, { @@ -35,7 +35,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -52,7 +52,7 @@ "" ] }, - "execution_count": 1, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -83,12 +83,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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", + "image/png": 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", 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" ] @@ -134,7 +134,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -142,28 +142,28 @@ "text/html": [ "\n", "\n", - "
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\n", "" ], "text/plain": [ "alt.LayerChart(...)" ] }, - "execution_count": 2, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -234,8 +234,7 @@ "source = source.reset_index().melt(\"x\", var_name=\"category\", value_name=\"y\")\n", "\n", "# Create a selection that chooses the nearest point & selects based on x-value\n", - "nearest = alt.selection_point(\n", - " nearest=True, on=\"mouseover\", fields=[\"x\"], empty=False)\n", + "nearest = alt.selection_point(nearest=True, on=\"mouseover\", fields=[\"x\"], empty=False)\n", "\n", "# The basic line\n", "line = (\n", @@ -291,7 +290,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -299,28 +298,28 @@ "text/html": [ "\n", "\n", - "
\n", + "
\n", "" ], "text/plain": [ @@ -375,22 +374,16 @@ "source": [ "# | column: page\n", "\n", - "import duckdb\n", - "import os\n", + "from datadex.utils import query\n", "\n", - "DATA_DIR = os.getenv(\"DATA_DIR\")\n", - "\n", - "con = duckdb.connect(database=DATA_DIR + \"/local.duckdb\", read_only=True)\n", - "\n", - "df = con.sql(\"from climate_co2_global_trend\").df()\n", + "df = query(\"from climate_co2_global_trend\")\n", "\n", "c = (\n", " alt.Chart(df)\n", " .mark_line()\n", " .encode(\n", " x=alt.X(\"date:T\", title=\"Date\"),\n", - " y=alt.Y(\"trend:Q\", scale=alt.Scale(\n", - " domain=[390, 430]), title=\"CO2 (ppm)\"),\n", + " y=alt.Y(\"trend:Q\", scale=alt.Scale(domain=[390, 430]), title=\"CO2 (ppm)\"),\n", " tooltip=[\n", " alt.Tooltip(\"date:T\", title=\"Date\"),\n", " alt.Tooltip(\"trend:Q\", title=\"CO2 (ppm)\"),\n", @@ -406,18 +399,297 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Same with Dagster assets! " + "Same with Dagster assets! The following code will run the asset function! Great for debugging. " ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 21, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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taxonidkingdom_namephylum_nameclass_nameorder_namefamily_namegenus_namescientific_nametaxonomic_authorityinfra_rankinfra_namepopulationcategorymain_common_name
031583PLANTAETRACHEOPHYTAMAGNOLIOPSIDAMYRTALESMYRTACEAEEugeniaEugenia oreophilaRidleyNoneNoneNoneLR/lcNone
131584PLANTAETRACHEOPHYTAMAGNOLIOPSIDAMYRTALESMYRTACEAEEugeniaEugenia oritesRidleyNoneNoneNoneLR/cdNone
231585PLANTAETRACHEOPHYTAMAGNOLIOPSIDAMYRTALESMYRTACEAEEugeniaEugenia pahangensisRidleyNoneNoneNoneLR/cdNone
331586PLANTAETRACHEOPHYTAMAGNOLIOPSIDAMYRTALESMYRTACEAEEugeniaEugenia pallidulaRidleyNoneNoneNoneVUNone
431587PLANTAETRACHEOPHYTAMAGNOLIOPSIDAMYRTALESMYRTACEAEEugeniaEugenia pearsonianaKingNoneNoneNoneLR/cdNone
531588PLANTAETRACHEOPHYTAMAGNOLIOPSIDAMYRTALESMYRTACEAEEugeniaEugenia perakensisKingNoneNoneNoneLR/lcNone
631589PLANTAETRACHEOPHYTAMAGNOLIOPSIDAMYRTALESMYRTACEAEEugeniaEugenia pergamentaceaKingNoneNoneNoneLR/lcNone
731590PLANTAETRACHEOPHYTAMAGNOLIOPSIDAMYRTALESMYRTACEAEEugeniaEugenia politaKingNoneNoneNoneLR/lcNone
831591PLANTAETRACHEOPHYTAMAGNOLIOPSIDAMYRTALESMYRTACEAEEugeniaEugenia praestigiosaM.R. HendersonNoneNoneNoneDDNone
931592PLANTAETRACHEOPHYTAMAGNOLIOPSIDAMYRTALESMYRTACEAEEugeniaEugenia prainianaKingNoneNoneNoneLR/lcNone
\n", + "
" + ], + "text/plain": [ + " taxonid kingdom_name phylum_name class_name order_name family_name \\\n", + "0 31583 PLANTAE TRACHEOPHYTA MAGNOLIOPSIDA MYRTALES MYRTACEAE \n", + "1 31584 PLANTAE TRACHEOPHYTA MAGNOLIOPSIDA MYRTALES MYRTACEAE \n", + "2 31585 PLANTAE TRACHEOPHYTA MAGNOLIOPSIDA MYRTALES MYRTACEAE \n", + "3 31586 PLANTAE TRACHEOPHYTA MAGNOLIOPSIDA MYRTALES MYRTACEAE \n", + "4 31587 PLANTAE TRACHEOPHYTA MAGNOLIOPSIDA MYRTALES MYRTACEAE \n", + "5 31588 PLANTAE TRACHEOPHYTA MAGNOLIOPSIDA MYRTALES MYRTACEAE \n", + "6 31589 PLANTAE TRACHEOPHYTA MAGNOLIOPSIDA MYRTALES MYRTACEAE \n", + "7 31590 PLANTAE TRACHEOPHYTA MAGNOLIOPSIDA MYRTALES MYRTACEAE \n", + "8 31591 PLANTAE TRACHEOPHYTA MAGNOLIOPSIDA MYRTALES MYRTACEAE \n", + "9 31592 PLANTAE TRACHEOPHYTA MAGNOLIOPSIDA MYRTALES MYRTACEAE \n", + "\n", + " genus_name scientific_name taxonomic_authority infra_rank infra_name \\\n", + "0 Eugenia Eugenia oreophila Ridley None None \n", + "1 Eugenia Eugenia orites Ridley None None \n", + "2 Eugenia Eugenia pahangensis Ridley None None \n", + "3 Eugenia Eugenia pallidula Ridley None None \n", + "4 Eugenia Eugenia pearsoniana King None None \n", + "5 Eugenia Eugenia perakensis King None None \n", + "6 Eugenia Eugenia pergamentacea King None None \n", + "7 Eugenia Eugenia polita King None None \n", + "8 Eugenia Eugenia praestigiosa M.R. Henderson None None \n", + "9 Eugenia Eugenia prainiana King None None \n", + "\n", + " population category main_common_name \n", + "0 None LR/lc None \n", + "1 None LR/cd None \n", + "2 None LR/cd None \n", + "3 None VU None \n", + "4 None LR/cd None \n", + "5 None LR/lc None \n", + "6 None LR/lc None \n", + "7 None LR/lc None \n", + "8 None DD None \n", + "9 None LR/lc None " + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "from datadex import assets as datasets\n", + "\n", "datasets.raw_threatened_animal_species().head(10)\n" ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from datadex.utils import query\n", + "\n", + "df = query(\"select * from climate_owid_co2_by_country where country = 'World'\")\n", + "_ = df.plot(x=\"year\", y=\"co2\", kind=\"line\")\n" + ] } ], "metadata": { @@ -436,7 +708,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.11.6" }, "orig_nbformat": 4 },