Point chart - two (or more) data rows - powerbi

Question

I would like to add the average Y-axis values for each X-axis value to a point chart. Is there any way to do this please? I would like to achieve a similar result to the second picture.
Expected result is here.
Data example
id
datum
year
month
day
weekday
hour
hourly_steps
cumulative_daily_steps
daily_steps
1
2021-01-01
2021
1
1
5
17
49
49
5837
2
2021-01-01
2021
1
1
5
18
4977
5026
5837
3
2021-01-01
2021
1
1
5
19
692
5718
5837
4
2021-01-01
2021
1
1
5
20
13
5731
5837
5
2021-01-01
2021
1
1
5
22
106
5837
5837
6
2021-01-02
2021
1
2
6
6
48
48
7965
7
2021-01-02
2021
1
2
6
9
97
145
7965
8
2021-01-02
2021
1
2
6
10
1109
1254
7965
9
2021-01-02
2021
1
2
6
11
253
1507
7965
10
2021-01-02
2021
1
2
6
12
126
1633
7965
11
2021-01-02
2021
1
2
6
13
51
1684
7965
12
2021-01-02
2021
1
2
6
14
690
2374
7965
13
2021-01-02
2021
1
2
6
15
3690
6064
7965
14
2021-01-02
2021
1
2
6
16
956
7020
7965
15
2021-01-02
2021
1
2
6
17
667
7687
7965
16
2021-01-02
2021
1
2
6
18
36
7723
7965
17
2021-01-02
2021
1
2
6
19
45
7768
7965
18
2021-01-02
2021
1
2
6
20
38
7806
7965
19
2021-01-02
2021
1
2
6
21
47
7853
7965
20
2021-01-02
2021
1
2
6
22
15
7868
7965
21
2021-01-02
2021
1
2
6
23
97
7965
7965
22
2021-01-03
2021
1
3
7
0
147
147
8007
23
2021-01-03
2021
1
3
7
7
15
162
8007
24
2021-01-03
2021
1
3
7
8
54
216
8007
25
2021-01-03
2021
1
3
7
9
47
263
8007
26
2021-01-03
2021
1
3
7
10
16
279
8007
27
2021-01-03
2021
1
3
7
11
16
295
8007
28
2021-01-03
2021
1
3
7
12
61
356
8007
29
2021-01-03
2021
1
3
7
13
1459
1815
8007
30
2021-01-03
2021
1
3
7
14
2869
4684
8007
31
2021-01-03
2021
1
3
7
15
2670
7354
8007
32
2021-01-03
2021
1
3
7
16
131
7485
8007
33
2021-01-03
2021
1
3
7
17
67
7552
8007
34
2021-01-03
2021
1
3
7
18
27
7579
8007
35
2021-01-03
2021
1
3
7
19
50
7629
8007
36
2021-01-03
2021
1
3
7
20
48
7677
8007
37
2021-01-03
2021
1
3
7
22
119
7796
8007
38
2021-01-03
2021
1
3
7
23
211
8007
8007
39
2021-01-04
2021
1
4
1
4
19
19
6022
40
2021-01-04
2021
1
4
1
6
94
113
6022
41
2021-01-04
2021
1
4
1
10
48
161
6022
42
2021-01-04
2021
1
4
1
11
97
258
6022
43
2021-01-04
2021
1
4
1
12
48
306
6022
44
2021-01-04
2021
1
4
1
13
39
345
6022
45
2021-01-04
2021
1
4
1
14
499
844
6022
46
2021-01-04
2021
1
4
1
15
799
1643
6022
47
2021-01-04
2021
1
4
1
16
180
1823
6022
48
2021-01-04
2021
1
4
1
17
55
1878
6022
49
2021-01-04
2021
1
4
1
18
27
1905
6022
50
2021-01-04
2021
1
4
1
19
2246
4151
6022
51
2021-01-04
2021
1
4
1
20
1518
5669
6022
52
2021-01-04
2021
1
4
1
21
247
5916
6022
53
2021-01-04
2021
1
4
1
22
106
6022
6022
54
2021-01-05
2021
1
5
2
4
18
18
7623
55
2021-01-05
2021
1
5
2
6
44
62
7623
56
2021-01-05
2021
1
5
2
7
51
113
7623
57
2021-01-05
2021
1
5
2
8
450
563
7623
58
2021-01-05
2021
1
5
2
9
385
948
7623
59
2021-01-05
2021
1
5
2
10
469
1417
7623
60
2021-01-05
2021
1
5
2
11
254
1671
7623
61
2021-01-05
2021
1
5
2
12
1014
2685
7623
62
2021-01-05
2021
1
5
2
13
415
3100
7623
63
2021-01-05
2021
1
5
2
14
297
3397
7623
64
2021-01-05
2021
1
5
2
15
31
3428
7623
65
2021-01-05
2021
1
5
2
17
50
3478
7623
66
2021-01-05
2021
1
5
2
18
3771
7249
7623
67
2021-01-05
2021
1
5
2
19
52
7301
7623
68
2021-01-05
2021
1
5
2
20
96
7397
7623
69
2021-01-05
2021
1
5
2
21
59
7456
7623
70
2021-01-05
2021
1
5
2
22
167
7623
7623
71
2021-01-06
2021
1
6
3
6
54
54
7916
72
2021-01-06
2021
1
6
3
7
1223
1277
7916
73
2021-01-06
2021
1
6
3
8
118
1395
7916
74
2021-01-06
2021
1
6
3
10
77
1472
7916
75
2021-01-06
2021
1
6
3
11
709
2181
7916
76
2021-01-06
2021
1
6
3
12
123
2304
7916
77
2021-01-06
2021
1
6
3
13
36
2340
7916
78
2021-01-06
2021
1
6
3
14
14
2354
7916
79
2021-01-06
2021
1
6
3
15
156
2510
7916
80
2021-01-06
2021
1
6
3
16
149
2659
7916
81
2021-01-06
2021
1
6
3
17
995
3654
7916
82
2021-01-06
2021
1
6
3
18
2022
5676
7916
83
2021-01-06
2021
1
6
3
19
34
5710
7916
84
2021-01-06
2021
1
6
3
21
937
6647
7916
85
2021-01-06
2021
1
6
3
22
1208
7855
7916
86
2021-01-06
2021
1
6
3
23
61
7916
7916

Answer 1

Here you go.
Data:
Add Deneb visual and then add the following fields ensuring that don't summarise is selected for each column.
Inside Deneb, paste the following spec.
{
"data": {"name": "dataset"},
"transform": [
{
"calculate": "datum['weekday ']<= 5?'weekday':'weekend'",
"as": "type"
}
],
"layer": [
{"mark": {"type": "point"}},
{
"mark": {"type": "line", "interpolate":"basis"},
"encoding": {
"x": {
"field": "hour"
},
"y": {
"aggregate": "mean",
"field": "cumulative_daily_steps"
}
}
}
],
"encoding": {
"x": {
"field": "hour",
"type": "quantitative",
"axis": {"title": "Hour of Day"}
},
"y": {
"field": "cumulative_daily_steps",
"type": "quantitative",
"axis": {
"title": "Cumulative Step Count"
}
},
"color": {
"field": "type",
"type": "nominal",
"scale": {
"range": ["red", "green"]
},
"legend": {"title": ""}
}
}
}