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[REMOVED] charts and unused text #18

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Jun 5, 2023
Merged

[REMOVED] charts and unused text #18

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52 changes: 23 additions & 29 deletions pages/02_financial_summary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -71,12 +71,6 @@ def claim_type_line_chart(df, animated=True):
## --------------------------------- ##
pmpm_claim_type_data = data.pmpm_by_claim_type()
pmpm_claim_type_data.sort_values(by="year_month", inplace=True)
st.markdown("## Claim Type")
st.markdown(
"""
Explore the per member per month costs across different claim types to gain insights into healthcare expenditure patterns. Inpatient spend will tend to be much higher than professional spend. Dig deeper to find out what is hidden in these costs.
"""
)

## --------------------------------- ##
## Header
Expand Down Expand Up @@ -229,29 +223,29 @@ def claim_type_line_chart(df, animated=True):

st.altair_chart(service_1_chart, use_container_width=True)

chart_vals = ["Ancillary", "Inpatient", "Office Visit", "Other", "Outpatient"]
grouped_service = service_1_data.groupby(by="service_category_1", as_index=False)[
"paid_amount_sum"
].sum()
total_member_months = (
service_1_data[["year_month", "member_month_count"]]
.drop_duplicates()["member_month_count"]
.sum()
)
grouped_service["paid_amount_pmpm"] = (
grouped_service["paid_amount_sum"] / total_member_months
)
grouped_service.set_index("service_category_1", inplace=True)
grouped_service = grouped_service.transpose()
grouped_service["Metric"] = "Average PMPM"
plost.bar_chart(
data=grouped_service,
bar="Metric",
value=chart_vals,
stack="normalize",
direction="horizontal",
height=200,
)
# chart_vals = ["Ancillary", "Inpatient", "Office Visit", "Other", "Outpatient"]
# grouped_service = service_1_data.groupby(by="service_category_1", as_index=False)[
# "paid_amount_sum"
# ].sum()
# total_member_months = (
# service_1_data[["year_month", "member_month_count"]]
# .drop_duplicates()["member_month_count"]
# .sum()
# )
# grouped_service["paid_amount_pmpm"] = (
# grouped_service["paid_amount_sum"] / total_member_months
# )
# grouped_service.set_index("service_category_1", inplace=True)
# grouped_service = grouped_service.transpose()
# grouped_service["Metric"] = "Average PMPM"
# plost.bar_chart(
# data=grouped_service,
# bar="Metric",
# value=chart_vals,
# stack="normalize",
# direction="horizontal",
# height=200,
# )

## --------------------------------- ##
## Service Category 2
Expand Down