Hi,
I've been browsing posts but can't seem to find a solution that actually works with my data. I'm a bit of a newbie still, but am enjoying learning a new way to present data that isn't R.
Below I have two graphs. The bottom one looks exactly the way I would like it, except the x-axis is based off DOY, and the top graph has the correct x-axis, but vis is all wrong.
Things I've tried:
- Drilling up a level
- Changing the date hierarchy / trip_start_date back and forth between continuous & categorical.
- Making all sorts of date columns in different formats to use as labels:
I'm sure there is an easy solution. I appreciate your kind responses.
Data:
| trip_seq_no | trip_start_date | Year | DOY | effort_seq_no | location_id | SI_density |
| 3218915 | 43676 | 2019 | 211 | 5440135 | LLS-2 | 1.525062 |
| 3218915 | 43676 | 2019 | 211 | 5440136 | LLS-2 | 0 |
| 3218915 | 43676 | 2019 | 211 | 5440137 | LLS-2 | 0 |
| 3218915 | 43676 | 2019 | 211 | 5440138 | LLS-3 | 0 |
| 3218915 | 43676 | 2019 | 211 | 5440139 | LLS-3 | 0 |
| 3218915 | 43676 | 2019 | 211 | 5440140 | LLS-3 | 1.715833 |
| 3218917 | 43693 | 2019 | 228 | 5440159 | LLS-2 | 0 |
| 3218917 | 43693 | 2019 | 228 | 5440160 | LLS-2 | 0 |
| 3218917 | 43693 | 2019 | 228 | 5440161 | LLS-2 | 2.005025 |
| 3218917 | 43693 | 2019 | 228 | 5440162 | LLS-3 | 1.873758 |
| 3218917 | 43693 | 2019 | 228 | 5440163 | LLS-3 | 1.864666 |
| 3218917 | 43693 | 2019 | 228 | 5440164 | LLS-3 | 0 |
| 3218919 | 43718 | 2019 | 253 | 5440183 | LLS-2 | 0 |
| 3218919 | 43718 | 2019 | 253 | 5440184 | LLS-2 | 0 |
| 3218919 | 43718 | 2019 | 253 | 5440185 | LLS-2 | 11.52958 |
| 3218919 | 43718 | 2019 | 253 | 5440186 | LLS-3 | 11.45957 |
| 3218919 | 43718 | 2019 | 253 | 5440187 | LLS-3 | 3.397393 |
| 3218919 | 43718 | 2019 | 253 | 5440188 | LLS-3 | 0 |
| 3218943 | 44007 | 2020 | 177 | 5440231 | LLS-2 | 5.385557 |
| 3218943 | 44007 | 2020 | 177 | 5440232 | LLS-2 | 5.290581 |
| 3218943 | 44007 | 2020 | 177 | 5440233 | LLS-2 | 8.109403 |
| 3218943 | 44007 | 2020 | 177 | 5440240 | LLS-3 | 3.306965 |
| 3218943 | 44007 | 2020 | 177 | 5440241 | LLS-3 | 0 |
| 3218943 | 44007 | 2020 | 177 | 5440242 | LLS-3 | 14.44517 |
| 3218946 | 44028 | 2020 | 198 | 5440267 | LLS-2 | 10.12216 |
| 3218946 | 44028 | 2020 | 198 | 5440268 | LLS-2 | 0 |
| 3218946 | 44028 | 2020 | 198 | 5440269 | LLS-2 | 0 |
| 3218946 | 44028 | 2020 | 198 | 5440276 | LLS-3 | 3.137031 |
| 3218946 | 44028 | 2020 | 198 | 5440277 | LLS-3 | 1.584843 |
| 3218946 | 44028 | 2020 | 198 | 5440278 | LLS-3 | 0 |
| 3218948 | 44041 | 2020 | 211 | 5440291 | LLS-2 | 0 |
| 3218948 | 44041 | 2020 | 211 | 5440292 | LLS-2 | 0 |
| 3218948 | 44041 | 2020 | 211 | 5440293 | LLS-2 | 0 |
| 3218948 | 44041 | 2020 | 211 | 5440300 | LLS-3 | 0 |
| 3218948 | 44041 | 2020 | 211 | 5440301 | LLS-3 | 2.077579 |
| 3218948 | 44041 | 2020 | 211 | 5440302 | LLS-3 | 0 |
| 3218954 | 44093 | 2020 | 263 | 5440357 | LLS-2 | 1.946817 |
| 3218954 | 44093 | 2020 | 263 | 5440358 | LLS-2 | 1.995736 |
| 3218954 | 44093 | 2020 | 263 | 5440359 | LLS-2 | 0 |
| 3218954 | 44093 | 2020 | 263 | 5440360 | LLS-3 | 0 |
| 3218954 | 44093 | 2020 | 263 | 5440361 | LLS-3 | 0 |
| 3218954 | 44093 | 2020 | 263 | 5440362 | LLS-3 | 0 |