-
Notifications
You must be signed in to change notification settings - Fork 1
86 lines (55 loc) · 2.22 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
---
title: "Open Government Data, provided by Landeshauptstadt München"
date: "2024-01-30"
output: html_document
---
## Dataset: Daten der Raddauerzählstellen München September 2020
[Direct data shop link for dataset](https://opendata.muenchen.de/dataset/daten-der-raddauerzaehlstellen-muenchen-september-2020)
Auto generated R starter code for data set 200@lhm.
## Metadata
- **Issued** `2020-10-13T09:58:59`
- **Modified** `2021-09-27T07:52:30`
- **Startdate** `None`
- **Enddate** `None`
- **Theme** `['http://publications.europa.eu/resource/authority/data-theme/TECH']`
- **Keyword** `['Fahrrad', 'Raddauerzählstellen', 'Raddauerzählstellen 2020']`
- **Publisher** `['mobilitaetsreferat']`
- **Landingpage** `https://opendata.muenchen.de/dataset/daten-der-raddauerzaehlstellen-muenchen-september-2020`
# Load packages
```{r}
library(tidyverse)
library(skimr)
```
# Load data
- The dataset has 2 distribution(s) in CSV format.
- All available CSV distributions are listed below and can be read into a tibble.
```{r}
# Distribution 0
# Ktzhdistid : 2001
# Title : 15 Minuten-Werte - Daten der Raddauerzählstellen München September 2020
# Issued : 2020-10-13T12:00:13
# Modified : 2020-10-13T10:00:13
# Rights : dl-by-de/2.0
df <- read_delim('https://opendata.muenchen.de/dataset/13e1fa56-4b8e-47fe-a9fa-210890bab968/resource/f7fbca17-c54f-44d8-ae94-7009a1c37bee/download/rad20200915min.csv')
# Distribution 1
# Ktzhdistid : 2002
# Title : Tageswerte und Wetter - Daten der Raddauerzählstellen München September 2020
# Issued : 2020-10-13T12:44:50
# Modified : 2020-10-13T10:44:50
# Rights : dl-by-de/2.0
df <- read_delim('https://opendata.muenchen.de/dataset/13e1fa56-4b8e-47fe-a9fa-210890bab968/resource/d8149405-208b-4561-b2d2-ad0a1ed06af0/download/rad202009tage.csv')
```
# Analyze data
```{r}
glimpse(df)
str(df)
skim(df)
head(df)
tail(df)
```
# Continue your code here...
```{r}
```
------------------------------------------------------------------------
# Questions about the data?
Mobilitätsreferat - Verkehrs- und Verhaltensdaten | Data Shop |