update app and script to csv

scripts_build/02_explore.py

@@ -8,8 +8,8 @@ from lets_plot import *
 LetsPlot.setup_html()
 # ["plotly", "plotly_white", "plotly_dark", "ggplot2", "seaborn", "simple_white", "none"]
 
-dat = pl.read_parquet("../data/dat_munged.parquet")
-info = pl.read_csv("../data/Metadata_Indicator_API_Download_DS2_en_csv_v2_5657328.csv").rename({"INDICATOR_CODE":"Indicator Code", "INDICATOR_NAME":"Indicator Name"})
+dat = pl.read_csv("../dat_munged.csv")
+info = pl.read_csv("../Metadata_Indicator_API_Download_DS2_en_csv_v2_5657328.csv").rename({"INDICATOR_CODE":"Indicator Code", "INDICATOR_NAME":"Indicator Name"})
 
 # %%
 dat_vars = dat\
@@ -21,7 +21,7 @@ dat_vars = dat\
     .sort(pl.col("total"), descending=True)\
     .filter(pl.col("total") > 25)
 
-dat_vars.write_parquet("../data/dat_vars.parquet")
+dat_vars.write_csv("../dat_vars.csv")
 
 # %%
 ggplot(

streamlit.py

@@ -7,9 +7,9 @@ import plotly.io as pio
 pio.templates.default = "simple_white"
 # %%
 # Data
-dat = pl.read_csv("data/dat_munged.csv")
-info = pl.read_csv("data/Metadata_Indicator_API_Download_DS2_en_csv_v2_5657328.csv").rename({"INDICATOR_CODE":"Indicator Code", "INDICATOR_NAME":"Indicator Name"})
-dat_vars = pl.read_parquet("data/dat_vars.parquet")
+dat = pl.read_csv("dat_munged.csv")
+info = pl.read_csv("Metadata_Indicator_API_Download_DS2_en_csv_v2_5657328.csv").rename({"INDICATOR_CODE":"Indicator Code", "INDICATOR_NAME":"Indicator Name"})
+dat_vars = pl.read_csv("dat_vars.csv")
 
 # %%
 # Example Chart