Commit a52fa4a1 authored by Sophia's avatar Sophia
Browse files

Last try pics

parent 8e146b85
......@@ -48,7 +48,7 @@ Then, data before a detected collection are saved in a separate data frame and w
*Example of a collection detection:*
![image-20210705112346995](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/notebooks/pictures/image-20210705112346995.png)
![image-20210705112346995](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/blob/master/notebooks/pictures/image-20210705112346995.png)
**Training_Data**
......@@ -60,7 +60,7 @@ In this file, the outlier containers are excluded for modeling purposes. The thr
Interactive notebook to explore the preprocessed data of the containers with different filter options:
![image-20210705104754696](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/notebooks/pictures/image-20210705104754696.png)
![image-20210705104754696](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/blob/master/notebooks/pictures/image-20210705104754696.png)
###### 3 Modelling
......@@ -68,13 +68,13 @@ Interactive notebook to explore the preprocessed data of the containers with dif
First Model: 2-dim. Clustering with pre height before emptying and mean emptying interval.
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/notebooks/pictures/image-202107151.png)
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/blob/master/notebooks/pictures/image-202107151.png)
Second Model: 3-dim. Clustering with pre height before emptying, mean emptying interval and amount of emptying.
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/notebooks/pictures/image-202107152.png)
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/blob/master/notebooks/pictures/image-202107152.png)
......@@ -90,7 +90,7 @@ Second Model: 3-dim. Clustering with pre height before emptying, mean emptying i
Pearson Correlation of features (height, collection, temperature, weather, holiday, lockdown)
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/notebooks/pictures/image-202107153.png)
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/blob/master/notebooks/pictures/image-202107153.png)
......@@ -98,7 +98,7 @@ Pearson Correlation of features (height, collection, temperature, weather, holid
Shows the effect of the lockdown on the pre height before a collection and the emptying intervals.
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/raw/Sophia/notebooks/pictures/image-202107154.png)
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/blob/master/notebooks/pictures/image-202107154.png)
......@@ -108,7 +108,7 @@ The optimal collections are exemplary predicted for three different containers.
*This is the example of one container:*
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/notebooks/pictures/image-202107155.png)
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/blob/master/notebooks/pictures/image-202107155.png)
......@@ -126,7 +126,7 @@ Structure:
- Features of raw data and decoded data
- Container overview on map
![image-20210705111842890](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/notebooks/pictures/image-20210705111842890.png)
![image-20210705111842890](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/blob/master/notebooks/pictures/image-20210705111842890.png)
7.2 Data Quality
......@@ -138,17 +138,17 @@ Structure:
- Emptying intervals
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/notebooks/pictures/image-202107158.png)
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/blob/master/notebooks/pictures/image-202107158.png)
- Mean pre_height of container before emptying
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/notebooks/pictures/pictures/image-202107157.png)
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/blob/master/notebooks/pictures/pictures/image-202107157.png)
7.4 Derived Insights with Clusters
The boxplot visualization gives interesting insights about the pre height of containers before being emptied. Looking at the boxplot of the second clustering model one can see, that in most of the clusters there exists a lot of potential in finding the correct emptying intervals as the pre height are in average very low.
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/notebooks/pictures/image-202107156.png)
![image-20210705112027118](https://git.scc.kit.edu/ufesk/bda-analytics-challenge-template/-/blob/master/notebooks/pictures/image-202107156.png)
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