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experiment with theme
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introductory/paper/experiments.qmd

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@@ -24,6 +24,8 @@ library(ggplot2)
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library(tidyr)
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library(dplyr)
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ggplot2::theme_set(ggplot2::theme_minimal())
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# data <- read.csv("introductory/experiments/overall_scans/results.csv")
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data <- read.csv("../experiments/overall_scans/results.csv")
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@@ -109,7 +111,8 @@ For the small `id` column, both Parquet readers have a slight edge over Parquet.
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```{r}
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#| label: fig-late-mat-runtime
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#| fig-cap: Scan time for early versus late materialization.
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#| fig-height: 4.25
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#| fig-height: 3.5
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#| fig-width: 5
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ggplot(runtime_results, aes(color=library, linetype=materialization_type, x=selectivity, y=runtime)) +
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geom_line() +
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facet_wrap(~ columns, scales = "free_y", labeller = "label_both") +
@@ -131,7 +134,8 @@ the case of the `img` column. However, if the filter results is more broken up,
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```{r}
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#| label: fig-late-mat-total-bytes
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#| fig-cap: Bytes read for early versus late materialization.
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#| fig-height: 4
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#| fig-height: 3.5
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#| fig-width: 5
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ggplot(io_results, aes(color=library, linetype=materialization_type, x=selectivity, y=total_bytes)) +
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geom_line() +
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facet_wrap(~ columns, scales = "free_y", labeller = "label_both") +

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