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Changes "Planning" section in order (and content) to avoid giving a w…
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…rong first impression about the dedicated effort
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DaniMori committed Jul 4, 2023
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83 changes: 48 additions & 35 deletions doc/Outcomes_C2011_W4_Report.qmd
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Expand Up @@ -30,41 +30,6 @@ read_chunk("../src/C2011_W4_Planning.R")
```{r main}
```

# Planning

The total number of outcomes assigned to each team member is shown in
@fig-num-outcomes-output. From left to right, the figure shows the datasets
assigned to be coded by each member, reviewed by each member, and the sum of
both. The same information can be seen in @fig-coding-date disaggregated by due
date.

```{r num-outcomes}
```

```{r num-outcomes-output}
#| label: fig-num-outcomes-output
#| fig-cap: Number of outcome datasets by team member
coding_load <- coding_load + ggtitle("coded")
review_load <- review_load + ggtitle("reviewed")
total_load <- total_load + ggtitle("total (code + reviewed)")
coding_load + review_load + total_load
```

```{r coding-date}
#| label: fig-coding-date
#| fig-cap: Number of outcome datasets by team member and due date
#| fig-height: 8.5
coding_date <- coding_date + ggtitle("coded") + guides(color = guide_none())
review_date <- review_date + ggtitle("reviewed") + guides(color = guide_none())
total_date <- total_date +
ggtitle("total (code + reviewed)") +
guides(color = guide_legend(title = NULL, direction = "horizontal")) +
theme(legend.position = "bottom")
coding_date / review_date / total_date
```

# Completion

```{r}
Expand Down Expand Up @@ -113,6 +78,54 @@ completion_data |>
incomplete_datasets
```

# Planning of the outcomes

The total number of outcomes assigned to each team member is shown in
@fig-num-outcomes-output. The figure shows the datasets assigned to be coded
(left) and reviewed by each member. The same information can be seen in
@fig-coding-date disaggregated by due date.

```{r num-outcomes}
```

```{r num-outcomes-output}
#| label: fig-num-outcomes-output
#| fig-cap: Number of outcome datasets by team member
coding_load <- coding_load + ggtitle("coded")
review_load <- review_load + ggtitle("reviewed")
coding_load + review_load
```

```{r coding-date}
#| label: fig-coding-date
#| fig-cap: Number of outcome datasets by team member and due date
#| fig-height: 8.5
coding_date <- coding_date + ggtitle("coded") + guides(color = guide_none())
review_date <- review_date +
ggtitle("reviewed") +
guides(color = guide_legend(title = NULL, direction = "horizontal")) +
theme(legend.position = "bottom")
coding_date / review_date / total_date
```

These figures must be interpreted according to the following highlights:

* The workload of the coding and the review steps are not comparable. Reviewing
has been estimated to imply approximately half the effort of coding for each
dataset, but this estimation depends on many factors.

* The workload shown in these graphs refers only to the assignation of the two
main tasks of the outcome datasets (coding and review) to each team member.
There have been many other tasks for which the effort is difficult to take into
account and represent graphically.

* Instead of showing only the `r n_datasets_complete` we have chosen to
represent the information of the whole `r n_datasets_total`. This is because,
although not having been complete due to external circumstances, the team has
put effort equally into the coding and review of those datasets.

# Error detection and correction

```{r error-data}
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