Meeting Title: Analysis-Planning-Session Date: 2024-07-22 Meeting participants: Jakob Kagel, Nicolas Sucari, Uttam Kumaran
WEBVTT
1 00:01:10.440 ⇒ 00:01:11.350 Nicolas Sucari: Hi! Jacob!
2 00:01:11.750 ⇒ 00:01:13.060 Jakob Kagel: Hey? How’s it going.
3 00:01:14.340 ⇒ 00:01:16.540 Nicolas Sucari: All good here. How about you?
4 00:01:17.020 ⇒ 00:01:20.210 Jakob Kagel: Doing well, doing well, busy, Monday.
5 00:01:22.010 ⇒ 00:01:22.850 Nicolas Sucari: Ice
6 00:01:28.880 ⇒ 00:01:29.780 Nicolas Sucari: hey, guys.
7 00:01:31.360 ⇒ 00:01:32.210 Jakob Kagel: And I’m.
8 00:01:32.530 ⇒ 00:01:33.560 Uttam Kumaran: Hey! Good!
9 00:01:42.340 ⇒ 00:01:43.239 Nicolas Sucari: I actually.
10 00:01:46.200 ⇒ 00:01:46.930 Akshay kumar.G: Yeah. Hello.
11 00:01:51.980 ⇒ 00:01:53.360 Jakob Kagel: Good afternoon.
12 00:01:55.400 ⇒ 00:01:56.590 Uttam Kumaran: How’s everything?
13 00:01:57.360 ⇒ 00:01:59.519 Jakob Kagel: Everything’s good for me. How are you all doing.
14 00:01:59.680 ⇒ 00:02:00.490 Uttam Kumaran: Good.
15 00:02:01.260 ⇒ 00:02:02.050 Uttam Kumaran: That’s good.
16 00:02:02.050 ⇒ 00:02:04.170 Jakob Kagel: Yeah. Good safe travels.
17 00:02:04.170 ⇒ 00:02:06.490 Uttam Kumaran: Yes, yeah. It was a good week.
18 00:02:06.720 ⇒ 00:02:08.320 Jakob Kagel: Where’d you go again? New York.
19 00:02:08.320 ⇒ 00:02:09.820 Uttam Kumaran: It was in New York. Yeah.
20 00:02:09.820 ⇒ 00:02:10.509 Jakob Kagel: Yeah.
21 00:02:10.650 ⇒ 00:02:15.779 Jakob Kagel: cool, cool, cool. Yeah. I’m in New York. That’s great. Anytime you get a chance to go to New York.
22 00:02:17.270 ⇒ 00:02:23.440 Uttam Kumaran: Yeah, like all my friends are there. But I I just saw a bunch of them on Saturday. The rest of the time was
23 00:02:24.270 ⇒ 00:02:26.610 Uttam Kumaran: pretty busy with work stuff. So.
24 00:02:26.790 ⇒ 00:02:30.558 Jakob Kagel: I feel that I feel that. Well, that’s good. At least you got to see them.
25 00:02:30.780 ⇒ 00:02:31.410 Uttam Kumaran: Yeah.
26 00:02:31.892 ⇒ 00:02:33.820 Jakob Kagel: East, village, west village.
27 00:02:33.820 ⇒ 00:02:36.849 Uttam Kumaran: East Village, all like East Village, mainly.
28 00:02:36.850 ⇒ 00:02:40.793 Jakob Kagel: The Spaniard. Now, that’s West Village, I think.
29 00:02:41.780 ⇒ 00:02:45.249 Uttam Kumaran: Yeah, I avoid. I avoid all those types of places. Now.
30 00:02:45.250 ⇒ 00:02:54.970 Jakob Kagel: Yeah, Spaniard, I can’t lie. It’s I’ve only been like once or twice. But I was, I was like, Wow, it was like 5.
31 00:02:54.970 ⇒ 00:03:03.779 Uttam Kumaran: Mainly food, and then there’s like one bar that I know the people at. So I go there, but otherwise it’s usually it’s usually calm.
32 00:03:03.930 ⇒ 00:03:04.600 Uttam Kumaran: nice.
33 00:03:04.600 ⇒ 00:03:05.760 Jakob Kagel: Nice nice.
34 00:03:05.930 ⇒ 00:03:08.610 Jakob Kagel: that’s what’s up, that’s what’s up. Glad to hear that.
35 00:03:08.610 ⇒ 00:03:08.990 Uttam Kumaran: Yeah.
36 00:03:12.350 ⇒ 00:03:14.070 Uttam Kumaran: cool. I guess we can get started.
37 00:03:14.830 ⇒ 00:03:16.479 Uttam Kumaran: Yeah, yeah, it’s good. Sure.
38 00:03:19.190 ⇒ 00:03:20.790 Nicolas Sucari: me share
39 00:03:21.460 ⇒ 00:03:23.270 Nicolas Sucari: the project.
40 00:03:41.040 ⇒ 00:03:43.450 Nicolas Sucari: We don’t have the analysis right?
41 00:03:43.510 ⇒ 00:03:44.590 Nicolas Sucari: Filter.
42 00:03:53.210 ⇒ 00:03:54.000 Nicolas Sucari: Okay.
43 00:03:54.950 ⇒ 00:04:14.590 Nicolas Sucari: okay. So updates on what we’ve been doing last week. Regarding the new warehouse analysis. Jacob, I think we are just on hold until Michael sends the contract to both parts. I don’t know if we are, gonna be like in the middle of that one of the time, or they like talk directly with Ben or Dan.
44 00:04:15.857 ⇒ 00:04:21.280 Nicolas Sucari: But yeah, we just need to ask, probably Michael, if he’s was able to
45 00:04:21.510 ⇒ 00:04:24.900 Nicolas Sucari: to send those documents so that we can get started to
46 00:04:25.395 ⇒ 00:04:28.770 Nicolas Sucari: yeah, to set up the the new warehouse right.
47 00:04:30.080 ⇒ 00:04:37.529 Uttam Kumaran: Yeah, I I sent them a text being like, Can we? What’s the status? So, yeah, we’re basically on hold.
48 00:04:39.355 ⇒ 00:04:39.730 Jakob Kagel: Locked.
49 00:04:39.730 ⇒ 00:04:40.410 Nicolas Sucari: Perfect
50 00:04:40.810 ⇒ 00:04:47.509 Nicolas Sucari: cool apart from the new warehouse. Jacob, I think you were not working on anything else. Right.
51 00:04:48.320 ⇒ 00:04:49.130 Nicolas Sucari: Bob.
52 00:04:49.130 ⇒ 00:05:13.809 Jakob Kagel: Once we finish up shipping. I mean, I definitely have bandwidth right now. To work on something new. That’s why I messaged it all, I guess. Last week. I didn’t know if we were try to sort of like pivot back on some of the pro stuff that we talked about like related to marketing or, of course, like anything additional that we did want to do as a follow up to the warehouses shipping. I’m happy to look at as well, too.
53 00:05:14.420 ⇒ 00:05:28.510 Nicolas Sucari: So, yeah, regarding the pro analysis, I think we have 2 things that will that need to happen. One is to set up the evidence page of that analysis, so that we can have, all of the information there in order to deliver to Ben, and then
54 00:05:29.015 ⇒ 00:05:44.039 Nicolas Sucari: and to start like seeing how those segments start to grow. That’s 1 and the other one we will have like new, probably new tasks after the meeting with Kim and Cody that we have on Wednesday.
55 00:05:44.100 ⇒ 00:05:45.279 Nicolas Sucari: I hope you had.
56 00:05:46.253 ⇒ 00:05:58.260 Nicolas Sucari: so probably we can get started with the evidence stuff. And and then, once they Thursday, we can understand, what else do we need to prepare for that? Email stuff for those new?
57 00:05:58.696 ⇒ 00:06:03.460 Nicolas Sucari: Yeah, you ask that team. And Cody will will let us know right.
58 00:06:04.770 ⇒ 00:06:14.619 Jakob Kagel: Okay, I have a question here. So I mean, it sounds like we’re kind of like, we’re going down the path of like putting basically, like.
59 00:06:15.530 ⇒ 00:06:24.947 Jakob Kagel: all of our dashboards are more or less like in evidence. I mean, I know they’re not technically dashboards, because they’re really just like visualizations. But
60 00:06:25.770 ⇒ 00:06:43.679 Jakob Kagel: yeah, I mean, is that is that what we want to do? Are we not gonna leverage real? I mean, I don’t know. I’m a little more of a fan of using real. And so for some of these used cases, I mean, I’m not opposed to doing like evidence pages for prone consumer. And like, you know, other stuff, too. I just think it’s like.
61 00:06:43.850 ⇒ 00:06:53.960 Jakob Kagel: I don’t know. It depends like kind of what like, who the audience is, and like we should think about that a little bit, because, like making the changes and evidence can be like
62 00:06:54.480 ⇒ 00:07:00.880 Jakob Kagel: a little bit more time consuming. I mean, ideally. It’s like we build it the right way the 1st time, and then.
63 00:07:00.880 ⇒ 00:07:01.430 Nicolas Sucari: Tab.
64 00:07:01.430 ⇒ 00:07:09.219 Jakob Kagel: Don’t have to change anything. But as we kind of seen sort of like with pro and consumer, and I don’t know we don’t know exactly what’s gonna happen in the future. But you know, we have, like
65 00:07:09.490 ⇒ 00:07:23.159 Jakob Kagel: cool, pro derived, and like these different flags. And we have to make all these logic changes, and then that becomes like a lot of tech debt kind of because we have to change all that. All, like all everything we build in evidence is like built manually like.
66 00:07:23.180 ⇒ 00:07:30.300 Jakob Kagel: So that’s I don’t know. I just want to talk about that, maybe real quick. I mean, I’m not opposed to it. I just think we should sort of think about it a little bit.
67 00:07:32.000 ⇒ 00:07:53.809 Nicolas Sucari: I I understand totally understand. I think real is like more during the process, and what we are using it as exploratory to answer questions to try and yeah, investigate when we are trying to take some measures, or we’re trying to. Yeah, get a list of users for a specific thing, but evidence is kind of like
68 00:07:53.870 ⇒ 00:08:15.416 Nicolas Sucari: finishing up the analysis and sending a report to the client so that they can keep like accessing one place and looking at that information and see how that changes through time. Right? If the logic is not gonna change anymore, I I think, like the pull pro derive is like the like, the latest flag that we have regarding.
69 00:08:15.770 ⇒ 00:08:41.369 Nicolas Sucari: yeah, identifying the pull pros. Probably we should set up like the evidence base in order to have like that report, so that when anyone wants to see how many pull pros we have, or how that is changing through time, they can access an evidence base and see it like a summary of what we are doing. And then, if they want, like more detail into what those customers are doing, they can go into real and start looking up for different dimensions and other stuff.
70 00:08:41.866 ⇒ 00:08:49.163 Nicolas Sucari: That’s how i i i’m thinking of it. I I get that. It’s for different.
71 00:08:49.700 ⇒ 00:09:11.259 Nicolas Sucari: yeah, the evidence is for a specific type of people going there and see more kind of a report and and like static information, but probably understanding it through time, and then really kind of more exploratory and trying to do like specific analysis regarding like more dimensions or yeah, more other, more other things. Right?
72 00:09:11.500 ⇒ 00:09:16.054 Jakob Kagel: Yeah, it makes sense. I mean, I, yeah, I I understand that for sure.
73 00:09:16.490 ⇒ 00:09:17.269 Jakob Kagel: yeah, I mean, I’m not.
74 00:09:17.270 ⇒ 00:09:36.489 Nicolas Sucari: Totally. I, yeah. And I get we we like, we don’t need to have everything or every little analysis that we do on evidence. But like big things that probably would need to be monitored through time. That’s kind of good to have it in evidence, so that we can go always to one place and see how that change
75 00:09:36.620 ⇒ 00:09:38.219 Nicolas Sucari: through through time. Right.
76 00:09:38.430 ⇒ 00:09:40.650 Jakob Kagel: Okay, sounds good. Let’s do it.
77 00:09:41.290 ⇒ 00:09:57.000 Uttam Kumaran: Yeah, I think it was. I think it’s mainly just going to be like it actually came in handy last week for some investor meetings that they’re having to just have that stuff live in evidence. I think it looks really great, and I don’t see us modifying that stuff. It’s mainly
78 00:09:57.110 ⇒ 00:09:57.990 Uttam Kumaran: like
79 00:09:58.090 ⇒ 00:10:01.720 Uttam Kumaran: place where we can put all the commentary and like some analysis, but
80 00:10:01.740 ⇒ 00:10:05.855 Uttam Kumaran: definitely not gonna be used for like exploratory, it’s mainly just like the home for
81 00:10:06.140 ⇒ 00:10:07.190 Uttam Kumaran: that stuff.
82 00:10:07.740 ⇒ 00:10:08.060 Jakob Kagel: Okay.
83 00:10:08.060 ⇒ 00:10:31.939 Nicolas Sucari: Yeah, i i i’ll say, just to have, like the big numbers of what we are identifying as a full pro. I didn’t like. Explaining, what are the flags that we are using in order to identify that segment and see how that will change through time so that we can keep track on, hey? Since we started segmenting the clients this way, we and the actions that we did, the segments started to grow, or something.
84 00:10:32.281 ⇒ 00:10:39.439 Nicolas Sucari: And and not some, and not be like super exploratory. And then if they want more, something more, we can go to real.
85 00:10:40.170 ⇒ 00:10:47.669 Jakob Kagel: That sounds good. Okay, sure. I mean, did we get like, actually, did we get the thing figured out like, is he able to publish the evidence now.
86 00:10:48.210 ⇒ 00:10:48.772 Uttam Kumaran: Yeah, we’re sure.
87 00:10:48.960 ⇒ 00:10:49.630 Nicolas Sucari: And.
88 00:10:49.770 ⇒ 00:10:54.809 Uttam Kumaran: Like working on a few errors. I think today we’re just gonna go through what he has so far, locally.
89 00:10:54.810 ⇒ 00:10:55.460 Jakob Kagel: That.
90 00:10:55.681 ⇒ 00:11:01.448 Uttam Kumaran: I mean, I think I’m I’m pretty close. I like fixed a bunch of errors last week. I think I just need a few more. Hours.
91 00:11:01.900 ⇒ 00:11:03.260 Uttam Kumaran: so probably tomorrow.
92 00:11:03.260 ⇒ 00:11:10.979 Jakob Kagel: Yeah, I mean, I’m happy to try to help with that, too. I mean, I’m obviously not super super experienced with evidence or
93 00:11:11.599 ⇒ 00:11:15.499 Jakob Kagel: you know, but I’m I’m happy to try to help out there, too.
94 00:11:15.770 ⇒ 00:11:20.710 Uttam Kumaran: Yeah, I think we’re close. If we fixed a bunch of things so just need to another day to look at it.
95 00:11:20.710 ⇒ 00:11:22.300 Jakob Kagel: Okay. Cool. Sounds good.
96 00:11:23.800 ⇒ 00:11:24.480 Nicolas Sucari: Okay?
97 00:11:24.909 ⇒ 00:11:32.690 Nicolas Sucari: Yeah. So probably that’s kind of the the biggest thing we have right now, like trying to start working on that evidence page for the pros
98 00:11:33.348 ⇒ 00:11:39.830 Nicolas Sucari: analysis. And then on Wednesday we have the meeting with Cody and Kim, and we’ll see if we need to
99 00:11:39.850 ⇒ 00:11:46.973 Nicolas Sucari: to add more tasks in order to to get those clients or start working on marketing campaigns for them.
100 00:11:47.330 ⇒ 00:11:56.443 Jakob Kagel: And I can start working on that. Then I mean, I can start because I have evidence, and I I don’t know. I don’t think I should have any problems like publishing. So
101 00:11:56.980 ⇒ 00:11:59.520 Jakob Kagel: I don’t know. I mean, I can start working on that.
102 00:12:00.640 ⇒ 00:12:02.040 Nicolas Sucari: Okay, perfect.
103 00:12:02.040 ⇒ 00:12:08.119 Jakob Kagel: Trying to figure out like his, you know, access and publishing. Still that way, we’re just it’s not like a blocker.
104 00:12:10.000 ⇒ 00:12:19.149 Nicolas Sucari: Yeah, I think that’s fine. And and also, I think, actually, still, working is still working on that map thing. And the geographic concentration. So
105 00:12:19.240 ⇒ 00:12:25.489 Nicolas Sucari: yeah, it will be good to you both, probably will be working on evidence, but on different reports. Probably.
106 00:12:25.840 ⇒ 00:12:28.560 Jakob Kagel: That sounds fine. Yeah, okay, I can do that.
107 00:12:30.040 ⇒ 00:12:35.929 Nicolas Sucari: Perfect and actually, do you wanna yeah, give an update or anything.
108 00:12:37.200 ⇒ 00:12:41.790 Akshay kumar.G: Yeah, like, I would like to share my thing like it will be reviewing like what I tell you.
109 00:12:42.530 ⇒ 00:12:43.970 Akshay kumar.G: Business. The
110 00:12:44.600 ⇒ 00:12:45.759 Akshay kumar.G: is that my whole.
111 00:12:46.730 ⇒ 00:12:49.619 Uttam Kumaran: You’re cutting in and out. Do I? Sorry the audio is not great?
112 00:12:49.940 ⇒ 00:12:50.260 Jakob Kagel: Yeah.
113 00:12:54.430 ⇒ 00:12:55.500 Akshay kumar.G: Yeah, I may already know.
114 00:12:56.290 ⇒ 00:12:57.459 Uttam Kumaran: Yeah, it’s better.
115 00:12:59.190 ⇒ 00:13:01.920 Akshay kumar.G: Yeah, like, I would like to share my screen. Now.
116 00:13:02.130 ⇒ 00:13:03.099 Akshay kumar.G: is that the only way.
117 00:13:03.100 ⇒ 00:13:04.860 Uttam Kumaran: Yeah, that’s yeah. Let’s look at the.
118 00:13:04.860 ⇒ 00:13:05.550 Nicolas Sucari: Yep.
119 00:13:05.550 ⇒ 00:13:06.530 Uttam Kumaran: Geo. Stuff.
120 00:13:36.580 ⇒ 00:13:39.579 Akshay kumar.G: This is the one I made for the region wise.
121 00:13:44.050 ⇒ 00:13:52.719 Akshay kumar.G: and this one for like, for like status, that one I would say I mean I made using zips. And this one of maybe thing like for the States in us alone.
122 00:13:55.120 ⇒ 00:13:59.219 Uttam Kumaran: Okay, nice. So maybe let’s start at the top. So
123 00:14:00.480 ⇒ 00:14:02.370 Uttam Kumaran: the top one.
124 00:14:03.140 ⇒ 00:14:06.650 Uttam Kumaran: okay, so these are. So each of these are individual zips.
125 00:14:07.560 ⇒ 00:14:08.150 Akshay kumar.G: Yes.
126 00:14:08.430 ⇒ 00:14:09.500 Akshay kumar.G: okay, great.
127 00:14:09.740 ⇒ 00:14:11.469 Akshay kumar.G: You can see the numbers like
128 00:14:12.730 ⇒ 00:14:14.040 Akshay kumar.G: like quarterly.
129 00:14:14.180 ⇒ 00:14:15.759 Akshay kumar.G: How much sales happening.
130 00:14:16.480 ⇒ 00:14:23.610 Uttam Kumaran: And so the the problem originally was that we couldn’t like you can’t get the outline of the zip. Is that right?
131 00:14:24.240 ⇒ 00:14:27.190 Akshay kumar.G: Yeah, like, actually, we can get. Only
132 00:14:27.240 ⇒ 00:14:28.370 Akshay kumar.G: the
133 00:14:28.800 ⇒ 00:14:39.560 Akshay kumar.G: scale is less like, we have more number of zip. So I don’t think so like doing anything like, say, if it is within a state or so like we can get the like audience or something.
134 00:14:39.620 ⇒ 00:14:42.620 Akshay kumar.G: as there are more number of tips, we can get only through points, I guess.
135 00:14:43.030 ⇒ 00:14:43.900 Uttam Kumaran: Okay.
136 00:14:43.900 ⇒ 00:14:46.570 Akshay kumar.G: I tried for those duration files, but I don’t think so.
137 00:14:48.100 ⇒ 00:14:48.820 Uttam Kumaran: Okay, that’s.
138 00:14:48.820 ⇒ 00:14:51.210 Akshay kumar.G: For each state like we can make better visualization.
139 00:14:51.860 ⇒ 00:14:56.860 Uttam Kumaran: Okay? Okay? So then, if we go to the. So we have these 4 regions. So that’s great. And then
140 00:14:57.220 ⇒ 00:15:00.910 Uttam Kumaran: so you have the west, south, midwest.
141 00:15:01.040 ⇒ 00:15:02.390 Uttam Kumaran: northeast.
142 00:15:02.650 ⇒ 00:15:09.239 Uttam Kumaran: and then so these are all still zips, and then the total total sales and states this one is each state. Okay.
143 00:15:09.460 ⇒ 00:15:10.130 Jakob Kagel: Mean for the.
144 00:15:10.130 ⇒ 00:15:11.220 Akshay kumar.G: Stay on this list.
145 00:15:11.220 ⇒ 00:15:31.260 Jakob Kagel: Yeah, for the zip codes, like all the dots like for the zips are the same size. I’m wondering. I mean, I know you can do this in tableau. I don’t know if you can do this here, but you can set it to where the zips that have more sales will be larger dots, and then the ones that have less smaller dots, and that way we can kind of sort of like
146 00:15:31.400 ⇒ 00:15:39.159 Jakob Kagel: try to reduce the the noise of just having this huge cluster of all like the same size dots basically.
147 00:15:39.520 ⇒ 00:15:40.010 Nicolas Sucari: Yeah.
148 00:15:40.400 ⇒ 00:15:43.909 Jakob Kagel: Not, but it’s definitely worth a try. I think.
149 00:15:44.420 ⇒ 00:15:45.269 Nicolas Sucari: I was, I was.
150 00:15:45.270 ⇒ 00:15:45.650 Akshay kumar.G: I mean.
151 00:15:45.650 ⇒ 00:15:46.360 Nicolas Sucari: Same.
152 00:15:46.490 ⇒ 00:15:47.470 Nicolas Sucari: and but they.
153 00:15:47.470 ⇒ 00:15:47.990 Akshay kumar.G: The.
154 00:15:47.990 ⇒ 00:15:48.810 Nicolas Sucari: Colors.
155 00:15:49.060 ⇒ 00:15:50.559 Akshay kumar.G: You zoom over there. Let’s keep that.
156 00:15:52.410 ⇒ 00:15:53.220 Akshay kumar.G: Yeah.
157 00:15:55.590 ⇒ 00:16:01.220 Jakob Kagel: So they are different sizes, basically is what you’re saying when you zoom in or no. I mean, they look about the same.
158 00:16:01.220 ⇒ 00:16:10.329 Nicolas Sucari: No, I I think they are the same size, but different colors, like when they are a little bit more blue. It means like the amount of sales is a little bit higher.
159 00:16:11.319 ⇒ 00:16:12.640 Nicolas Sucari: I think, right?
160 00:16:12.840 ⇒ 00:16:20.910 Nicolas Sucari: Yes, okay, yeah. But when when when it’s zoom out it’s kind of yeah, different, difficult to identify that. Yeah.
161 00:16:21.860 ⇒ 00:16:25.620 Akshay kumar.G: Yes, because of the count, like, actually the 2 min it takes over.
162 00:16:26.440 ⇒ 00:16:27.360 Nicolas Sucari: Probably what.
163 00:16:27.360 ⇒ 00:16:28.110 Akshay kumar.G: Karen.
164 00:16:28.970 ⇒ 00:16:35.210 Nicolas Sucari: Probably what we can try is to set like a minimum amount so that it can appear in the map.
165 00:16:35.480 ⇒ 00:16:37.200 Nicolas Sucari: and we can clean it
166 00:16:38.010 ⇒ 00:16:41.009 Nicolas Sucari: at at some point. Right? What do you think guys
167 00:16:42.540 ⇒ 00:16:44.919 Nicolas Sucari: like if it is less than I don’t know.
168 00:16:45.920 ⇒ 00:16:50.130 Jakob Kagel: Yeah, I mean, it’s less than yeah. I would even say, maybe, like.
169 00:16:50.260 ⇒ 00:16:52.710 Jakob Kagel: yeah, 500 or something. I mean.
170 00:16:52.710 ⇒ 00:16:53.550 Nicolas Sucari: Yeah, funny.
171 00:16:54.580 ⇒ 00:17:01.323 Jakob Kagel: Like, or even yeah, like a order quantity, like, if the Zip had like less than 5 orders or something, it’s like.
172 00:17:01.630 ⇒ 00:17:02.370 Nicolas Sucari: Exactly.
173 00:17:03.310 ⇒ 00:17:11.879 Nicolas Sucari: because seeing it like this, it it’s not like, is, is it? Isn’t giving any like, follow, yeah, any information.
174 00:17:11.880 ⇒ 00:17:14.170 Jakob Kagel: We’re on the right track, though. We’re on the right track.
175 00:17:14.170 ⇒ 00:17:14.829 Nicolas Sucari: Yeah, sure.
176 00:17:15.153 ⇒ 00:17:19.226 Jakob Kagel: Just need to like. Figure out exactly how to clean it up and
177 00:17:20.289 ⇒ 00:17:23.119 Jakob Kagel: make it a little bit more insightful, I think. But yeah.
178 00:17:23.710 ⇒ 00:17:24.109 Nicolas Sucari: Yeah, so.
179 00:17:24.119 ⇒ 00:17:28.799 Akshay kumar.G: Look. Actually, the Ca counts are in thousands like 7,000 2,000.
180 00:17:30.470 ⇒ 00:17:37.930 Jakob Kagel: We could even like limit. I mean, I think we could even maybe limit to like the top 100 like zip spot sales or something.
181 00:17:38.080 ⇒ 00:17:46.429 Jakob Kagel: I mean, that might be more useful cause. Then you can really see like on the whole country, like where they’re at, you know. I don’t know.
182 00:17:48.350 ⇒ 00:17:49.699 Uttam Kumaran: Yeah, I will. I mean, I think.
183 00:17:49.982 ⇒ 00:17:50.830 Akshay kumar.G: Like will it.
184 00:17:50.830 ⇒ 00:17:52.606 Uttam Kumaran: Pretty easy to try all these like.
185 00:17:52.860 ⇒ 00:17:55.450 Jakob Kagel: Exactly, I think. Yeah, let’s just try them all right.
186 00:17:56.400 ⇒ 00:18:05.609 Uttam Kumaran: Yeah, I mean one. It would be great to do the to do the circles by magnitude. And then, second, if we could limit to just 100, and we could do the whole country. That would be
187 00:18:05.890 ⇒ 00:18:07.029 Uttam Kumaran: great to see.
188 00:18:08.690 ⇒ 00:18:09.110 Jakob Kagel: Sounds.
189 00:18:09.436 ⇒ 00:18:15.320 Akshay kumar.G: Will it be good to do like for like top 10 zips and lead state or something?
190 00:18:18.080 ⇒ 00:18:18.590 Akshay kumar.G: No, I.
191 00:18:18.590 ⇒ 00:18:32.520 Nicolas Sucari: I mean, if you get the entire list, yeah, get the entire list of sips and amounts and get only the 100 ones and just place them on the entire United States map. And let’s see what happened with that 100 sips.
192 00:18:34.200 ⇒ 00:18:35.060 Akshay kumar.G: Yeah, yeah, sure.
193 00:18:37.430 ⇒ 00:18:44.329 Nicolas Sucari: That will be like the easy, easiest way, probably to do it. And then we can try the different sizing for the
194 00:18:44.970 ⇒ 00:18:48.279 Nicolas Sucari: 40 dots. Probably that’s a little bit harder.
195 00:18:48.420 ⇒ 00:18:49.160 Nicolas Sucari: right?
196 00:18:50.340 ⇒ 00:18:51.200 Akshay kumar.G: Yeah, sure.
197 00:18:53.750 ⇒ 00:18:57.239 Nicolas Sucari: Okay? And the one by states, I think it’s
198 00:18:57.320 ⇒ 00:18:59.030 Nicolas Sucari: that’s really nice. Yeah.
199 00:19:00.010 ⇒ 00:19:05.504 Uttam Kumaran: Yeah, I think there’s there’s definitely some formatting, like, I want. Everything should be in dollars, and then
200 00:19:06.070 ⇒ 00:19:08.069 Uttam Kumaran: but otherwise it looks pretty good.
201 00:19:08.070 ⇒ 00:19:08.670 Akshay kumar.G: Okay.
202 00:19:09.035 ⇒ 00:19:10.689 Uttam Kumaran: It’s nice to see that. Yeah.
203 00:19:12.660 ⇒ 00:19:17.530 Uttam Kumaran: yeah, if we can make everything dollars. And then if we can also round it to like thousands.
204 00:19:18.730 ⇒ 00:19:19.160 Jakob Kagel: Yeah.
205 00:19:19.160 ⇒ 00:19:21.310 Akshay kumar.G: Okay, yeah, sure, 2 million.
206 00:19:21.310 ⇒ 00:19:22.060 Jakob Kagel: By this.
207 00:19:23.589 ⇒ 00:19:28.379 Uttam Kumaran: Okay, cool. And then this is so. My other question was, gonna be instead of 2
208 00:19:29.230 ⇒ 00:19:31.490 Uttam Kumaran: instead of 2 things for
209 00:19:31.820 ⇒ 00:19:34.469 Uttam Kumaran: shipping costs like. I wonder if you could.
210 00:19:35.520 ⇒ 00:19:40.470 Uttam Kumaran: I guess it’s going to be different colors, instead of putting sales and shipping costs in one block.
211 00:19:44.370 ⇒ 00:19:48.679 Nicolas Sucari: Like you want it on on the same map to show both of them with different colors.
212 00:19:48.680 ⇒ 00:19:52.470 Uttam Kumaran: Yeah, because it’s the main thing we wanna look at is shipping costs.
213 00:19:52.640 ⇒ 00:19:56.629 Uttam Kumaran: I mean, I guess this is, I guess I mean, I like it. How it is. I think
214 00:19:56.820 ⇒ 00:19:59.560 Uttam Kumaran: it’s probably good to just also put sales here as well.
215 00:20:00.180 ⇒ 00:20:02.689 Uttam Kumaran: I mean, you can like pick, but.
216 00:20:03.070 ⇒ 00:20:11.529 Jakob Kagel: I would also include, like average shipping cost or price per pound, like in the in the whatever you call that. What do you call that the thumbnail, not the thumbnail.
217 00:20:11.530 ⇒ 00:20:12.550 Uttam Kumaran: Tip, yeah.
218 00:20:12.730 ⇒ 00:20:16.399 Jakob Kagel: That’s it, exactly. Yeah. I would include that as well.
219 00:20:17.890 ⇒ 00:20:21.949 Akshay kumar.G: Okay, total sales plus average.
220 00:20:22.250 ⇒ 00:20:22.810 Akshay kumar.G: Okay.
221 00:20:22.810 ⇒ 00:20:26.260 Nicolas Sucari: Okay, wait. Let’s write down all of things.
222 00:20:28.160 ⇒ 00:20:31.459 Nicolas Sucari: So one is for sip codes.
223 00:20:33.460 ⇒ 00:20:36.180 Nicolas Sucari: Get only 100 top
224 00:20:36.490 ⇒ 00:20:37.440 Nicolas Sucari: sales.
225 00:20:38.835 ⇒ 00:20:40.760 Nicolas Sucari: Place in one map. Right?
226 00:20:44.110 ⇒ 00:20:46.040 Nicolas Sucari: Do analysis.
227 00:20:46.050 ⇒ 00:20:47.090 Nicolas Sucari: bye
228 00:20:47.180 ⇒ 00:20:49.130 Nicolas Sucari: try try sizing.
229 00:20:54.230 ⇒ 00:21:01.869 Jakob Kagel: So these different views that are like by the warehouse, you’re basically you’re calculating the shipping cost to
230 00:21:02.190 ⇒ 00:21:04.839 Jakob Kagel: the States. That ship from that warehouse.
231 00:21:06.080 ⇒ 00:21:11.359 Uttam Kumaran: But it’s not really shipping, is it? Shipping costs? It’s just ship total shipping, spend.
232 00:21:11.610 ⇒ 00:21:13.589 Jakob Kagel: Right? Well, that’s why
233 00:21:14.100 ⇒ 00:21:17.369 Jakob Kagel: I I mean, that’s what I wanna understand. Yeah.
234 00:21:24.330 ⇒ 00:21:28.989 Jakob Kagel: So I mean, is it shipping cost? Then, like from the shipments table, or is it.
235 00:21:29.200 ⇒ 00:21:31.149 Uttam Kumaran: Yeah. Hover over California.
236 00:21:33.700 ⇒ 00:21:35.969 Akshay kumar.G: Sorry like I didn’t get what you were saying.
237 00:21:36.180 ⇒ 00:21:41.369 Uttam Kumaran: This is just total shipping cost right? This isn’t like this. Yeah. So it’s just totals.
238 00:21:42.950 ⇒ 00:21:44.190 Uttam Kumaran: like total amount. We spent.
239 00:21:44.190 ⇒ 00:21:45.750 Akshay kumar.G: Yeah, just total shipment of it.
240 00:21:46.320 ⇒ 00:21:47.120 Akshay kumar.G: Yes.
241 00:21:47.480 ⇒ 00:21:48.050 Uttam Kumaran: Okay.
242 00:21:48.420 ⇒ 00:21:52.820 Jakob Kagel: Okay, and the timeframe for this is one year, 2 years.
243 00:21:54.490 ⇒ 00:21:56.960 Akshay kumar.G: No like or like. I didn’t set any time down for that.
244 00:21:56.960 ⇒ 00:21:58.930 Jakob Kagel: Okay, so it’s all time. Okay.
245 00:22:01.020 ⇒ 00:22:06.049 Uttam Kumaran: And then so Iron Island recreational distribution center is the same thing
246 00:22:06.350 ⇒ 00:22:07.190 Uttam Kumaran: as Scott.
247 00:22:07.850 ⇒ 00:22:08.480 Jakob Kagel: Other. One, yeah.
248 00:22:08.480 ⇒ 00:22:11.060 Akshay kumar.G: It just don’t be different, I guess. Same Geo. Point of
249 00:22:11.300 ⇒ 00:22:13.080 Akshay kumar.G: same latitude belonging to us.
250 00:22:13.500 ⇒ 00:22:19.659 Uttam Kumaran: Yeah. So I, I know there’s some. Yeah, okay. So we can make that change. That that should be the same thing as Yopank.
251 00:22:21.570 ⇒ 00:22:23.159 Akshay kumar.G: Okay. That was next up.
252 00:22:26.610 ⇒ 00:22:29.410 Uttam Kumaran: Okay, cool. So then, yeah, this looks great, too.
253 00:22:30.820 ⇒ 00:22:33.080 Akshay kumar.G: This is I. This also I made statewide
254 00:22:33.240 ⇒ 00:22:37.370 Akshay kumar.G: for different classes. I guess we have around something like 13 classes
255 00:22:37.920 ⇒ 00:22:38.550 Akshay kumar.G: in this.
256 00:22:38.550 ⇒ 00:22:39.060 Uttam Kumaran: Yeah.
257 00:22:39.060 ⇒ 00:22:45.709 Akshay kumar.G: To have less than very 20 orders, or something like I just made them in the order of like decreasing orders.
258 00:22:48.120 ⇒ 00:22:49.060 Jakob Kagel: Okay.
259 00:22:53.730 ⇒ 00:22:57.350 Akshay kumar.G: Like in this, if you want to make it zipper or something. I just made
260 00:22:57.440 ⇒ 00:23:03.270 Akshay kumar.G: this one. But this isn’t good. Look like I may like to view the top 10 gypsum needs here. So
261 00:23:03.820 ⇒ 00:23:04.940 Akshay kumar.G: since a couple.
262 00:23:05.510 ⇒ 00:23:28.940 Jakob Kagel: Yeah, if you’re gonna use like a heat like scale or whatever for the product classes like, I would say, they all need to be on the same scale. Otherwise, like you’re not like, it’s the the coloring is gonna be sort of different from each of the product classes like, if the Max that we have like for product class or something is I don’t know what was the top one. It was like 9,000 or something.
263 00:23:29.000 ⇒ 00:23:32.230 Jakob Kagel: Then we need to make like the top of the scale, probably
264 00:23:32.670 ⇒ 00:23:34.459 Jakob Kagel: cause. Now, it’s like, I don’t know.
265 00:23:34.490 ⇒ 00:23:52.800 Jakob Kagel: It’s confusing, because you have blue like Texas is blue. It’s like 9,000 products. But if you scroll down and you only have like 500 or something as the Max, then the State is going to be blue that only has 500. I mean, this is just my personal preference is like to use the same scale on all of them. But
266 00:23:53.140 ⇒ 00:23:54.050 Jakob Kagel: yeah.
267 00:23:54.780 ⇒ 00:23:55.709 Akshay kumar.G: Yeah, yes, sir.
268 00:23:56.410 ⇒ 00:23:58.109 Akshay kumar.G: Yeah. Let’s see what it looks like.
269 00:24:02.690 ⇒ 00:24:04.189 Uttam Kumaran: This looks really great, though.
270 00:24:11.380 ⇒ 00:24:20.629 Jakob Kagel: Yeah, I mean, this is good for sure. I mean, obviously, we can see like product class by state. I think it’s like, really a great insight, and that’s something that they’re gonna value a lot.
271 00:24:20.930 ⇒ 00:24:21.700 Uttam Kumaran: Yeah.
272 00:24:24.260 ⇒ 00:24:24.800 Uttam Kumaran: I would.
273 00:24:24.800 ⇒ 00:24:25.770 Nicolas Sucari: He’s like.
274 00:24:25.770 ⇒ 00:24:39.359 Jakob Kagel: I don’t know how you feel at the timeframe, but I feel like if we’re using kind of like 2 rolling 2 years or like 2 years split, for, like a lot of other stuff, I kind of feel like we should just use it here as well. I mean, I’m not opposed to using the all time one. But
275 00:24:39.870 ⇒ 00:24:45.499 Jakob Kagel: I don’t know. It’s just good. I feel like whenever, if we’re just like consistent kind of with like the timeframe.
276 00:24:45.800 ⇒ 00:24:51.420 Uttam Kumaran: Yeah, I would just default it on this dash, and then we could give that. Give that as a filter. Probably.
277 00:24:51.700 ⇒ 00:24:57.619 Nicolas Sucari: Yes, I was. I was gonna ask that it is not possible to add something to choose the timeframe for all of the
278 00:24:57.780 ⇒ 00:24:59.160 Nicolas Sucari: graphs or
279 00:24:59.560 ⇒ 00:25:03.150 Nicolas Sucari: yeah, elements that we are showing here in evidence, I think. Yes, right?
280 00:25:03.450 ⇒ 00:25:04.740 Jakob Kagel: Think it is? Yeah.
281 00:25:05.440 ⇒ 00:25:08.310 Nicolas Sucari: I think we have it in one of the other reports.
282 00:25:11.150 ⇒ 00:25:14.940 Uttam Kumaran: Yeah, you can. You can add filters. I’m not exactly sure how to, but.
283 00:25:15.860 ⇒ 00:25:17.539 Nicolas Sucari: And if you go to the
284 00:25:18.950 ⇒ 00:25:25.149 Nicolas Sucari: if you go to warranty, yeah, if you go to warranty impact analysis, I think you you can see it.
285 00:25:29.570 ⇒ 00:25:33.610 Nicolas Sucari: Yeah, you have there. Yeah, okay, you need to scroll down a little bit.
286 00:25:33.990 ⇒ 00:25:34.730 Nicolas Sucari: But
287 00:25:39.790 ⇒ 00:25:43.650 Nicolas Sucari: no, it’s it’s just on these. Yeah.
288 00:25:43.700 ⇒ 00:25:48.839 Nicolas Sucari: there, that’s the filter. Yes, and you can select different ranges. And yeah.
289 00:25:49.050 ⇒ 00:25:55.340 Nicolas Sucari: everything. Probably we need to. We need to see how that is implemented here and try to use it, for the
290 00:25:55.370 ⇒ 00:25:56.780 Nicolas Sucari: other reports, too.
291 00:25:57.020 ⇒ 00:25:59.559 Jakob Kagel: Yeah, we should just be able to copy it over pretty much.
292 00:25:59.990 ⇒ 00:26:00.590 Nicolas Sucari: Yeah.
293 00:26:01.490 ⇒ 00:26:09.389 Nicolas Sucari: so that anyone wants, because if if they want to see for the past month, they can filter down in that field and they can see
294 00:26:09.430 ⇒ 00:26:13.519 Nicolas Sucari: past month for each of the different graphs that we are showing there
295 00:26:19.330 ⇒ 00:26:20.109 Nicolas Sucari: a great.
296 00:26:22.360 ⇒ 00:26:24.470 Nicolas Sucari: But this is great. Actually.
297 00:26:24.660 ⇒ 00:26:25.580 Nicolas Sucari: really.
298 00:26:25.730 ⇒ 00:26:28.960 Nicolas Sucari: I think you are already understanding how to add those
299 00:26:29.140 ⇒ 00:26:33.039 Nicolas Sucari: those maps and how to manage the information in it. So
300 00:26:33.240 ⇒ 00:26:35.690 Nicolas Sucari: yeah, just needs a little bit more of
301 00:26:36.540 ⇒ 00:26:39.460 Nicolas Sucari: yeah details and change
302 00:26:39.470 ⇒ 00:26:41.839 Nicolas Sucari: small things, and we will have it ready.
303 00:26:42.570 ⇒ 00:26:49.680 Uttam Kumaran: Yeah. And actually, I wanna confirm your like, github setup. So I wanna make sure that you’re you’re able to publish this to a branch
304 00:26:50.110 ⇒ 00:26:52.999 Uttam Kumaran: because I wanna I wanna try and
305 00:26:53.290 ⇒ 00:26:56.609 Uttam Kumaran: pull it down onto my machine and and like, make some changes.
306 00:26:57.020 ⇒ 00:27:03.450 Uttam Kumaran: Do you? Can you share like your github setup and like I remember, I I didn’t really understand like what was going on.
307 00:27:14.160 ⇒ 00:27:15.569 Uttam Kumaran: You’re on. You’re on mute.
308 00:27:20.520 ⇒ 00:27:21.710 Akshay kumar.G: You’re right. Just a second
309 00:27:22.070 ⇒ 00:27:22.990 Akshay kumar.G: musical.
310 00:27:27.040 ⇒ 00:27:28.650 Akshay kumar.G: Yeah. I guess screen is too.
311 00:27:28.960 ⇒ 00:27:29.560 Uttam Kumaran: Yeah.
312 00:27:34.270 ⇒ 00:27:39.020 Uttam Kumaran: So like, are you in a github branch right now.
313 00:27:39.450 ⇒ 00:27:41.860 Nicolas Sucari: Yeah. Evidence sales page. It says
314 00:27:42.100 ⇒ 00:27:43.410 Nicolas Sucari: that you have branch.
315 00:27:44.160 ⇒ 00:27:45.070 Uttam Kumaran: Okay.
316 00:27:49.330 ⇒ 00:27:54.729 Uttam Kumaran: okay. But so I I’m checking it. But it just looks like it’s been pushed to 26 days ago.
317 00:27:54.840 ⇒ 00:28:01.550 Uttam Kumaran: So one thing that I would suggest if you go to the left. You see, there’s a thing called Github, with 47. If you go to the top. Left
318 00:28:03.430 ⇒ 00:28:06.850 Uttam Kumaran: it says 47, like the 3rd one from the top
319 00:28:07.850 ⇒ 00:28:09.839 Uttam Kumaran: underneath the magnifying glass.
320 00:28:14.900 ⇒ 00:28:20.620 Uttam Kumaran: So you’re gonna need to commit all of these into your branch. So are you using github desktop.
321 00:28:22.380 ⇒ 00:28:23.100 Akshay kumar.G: Cameron.
322 00:28:24.250 ⇒ 00:28:28.470 Uttam Kumaran: Do you have like? There’s an actual app called Github desktop, not within versus code.
323 00:28:30.820 ⇒ 00:28:32.530 Akshay kumar.G: Yeah, like, I do have it.
324 00:28:33.350 ⇒ 00:28:37.060 Uttam Kumaran: I we we I can only see your Vs code. I I can’t see that if you’re pulling it up.
325 00:28:43.040 ⇒ 00:28:45.164 Uttam Kumaran: but if you have that it’s really easy to.
326 00:28:53.910 ⇒ 00:28:54.890 Uttam Kumaran: okay, cool.
327 00:28:55.140 ⇒ 00:28:57.700 Uttam Kumaran: So it looks like your current branch.
328 00:28:58.640 ⇒ 00:29:02.309 Uttam Kumaran: Is this create evidence branch?
329 00:29:03.320 ⇒ 00:29:06.650 Uttam Kumaran: Okay? So this, the thing is like, I don’t understand
330 00:29:07.260 ⇒ 00:29:08.940 Uttam Kumaran: how these 2 are different.
331 00:29:11.770 ⇒ 00:29:12.389 Akshay kumar.G: Yeah, it’s
332 00:29:17.120 ⇒ 00:29:19.050 Akshay kumar.G: like, these are the 2 different.
333 00:29:19.620 ⇒ 00:29:22.779 Akshay kumar.G: I saw it within the group boot portal.
334 00:29:25.470 ⇒ 00:29:28.520 Uttam Kumaran: Yeah. So one of. So you’re gonna have to.
335 00:29:29.757 ⇒ 00:29:35.319 Uttam Kumaran: Yeah, that’s so, this is the problem. You you shouldn’t. You’re only supposed to have one, because
336 00:29:35.440 ⇒ 00:29:38.319 Uttam Kumaran: I mean, it’s like basically doing version control.
337 00:29:39.960 ⇒ 00:29:43.450 Uttam Kumaran: So I think you probably need to
338 00:29:44.240 ⇒ 00:29:45.170 Uttam Kumaran: like.
339 00:29:47.390 ⇒ 00:29:52.570 Akshay kumar.G: Yeah, even last time I just copied all the files from here to this, and like I made the call.
340 00:29:53.550 ⇒ 00:29:59.540 Uttam Kumaran: Okay. I mean, you can do that. But it’s it’s like, not necessary, like, you can just make the changes in one.
341 00:30:00.150 ⇒ 00:30:04.390 Uttam Kumaran: You can just make the changes as you go. You don’t need to like copy it over every time.
342 00:30:06.850 ⇒ 00:30:11.830 Uttam Kumaran: so I’m trying to think about like how to get around this right now.
343 00:30:12.710 ⇒ 00:30:13.800 Akshay kumar.G: Pretty good
344 00:30:14.050 ⇒ 00:30:16.499 Akshay kumar.G: because of the error. Last time we faced like
345 00:30:17.030 ⇒ 00:30:19.100 Akshay kumar.G: there, we do the same.
346 00:30:19.270 ⇒ 00:30:21.759 Akshay kumar.G: Actually, I want to inform you even that look.
347 00:30:22.450 ⇒ 00:30:23.470 Akshay kumar.G: save
348 00:30:24.490 ⇒ 00:30:26.250 Akshay kumar.G: because of the syntax.
349 00:30:26.510 ⇒ 00:30:27.869 Akshay kumar.G: at least for me, like
350 00:30:30.210 ⇒ 00:30:30.949 Akshay kumar.G: just again.
351 00:30:32.640 ⇒ 00:30:36.690 Uttam Kumaran: Yeah, I can see it. I it’s just hard to hear you. I can’t really understand what you’re saying.
352 00:30:38.180 ⇒ 00:30:38.690 Akshay kumar.G: Like
353 00:30:39.270 ⇒ 00:30:49.930 Akshay kumar.G: for, say, like, we, Jacob created the course like for him, like, say, he has a function called data, which takes 3 arguments of the input.
354 00:30:49.990 ⇒ 00:30:53.359 Akshay kumar.G: but like for me, it’s not accepting 3 arguments like for me. It’s
355 00:30:53.500 ⇒ 00:30:58.660 Akshay kumar.G: it only accepts 2 questions when he says about it. It’s because of different versions of SQL. I guess
356 00:30:58.850 ⇒ 00:31:08.420 Akshay kumar.G: so, because of which, like for me, most of the code which he made was not running in my local post, like. So it says each and everything. So I don’t want to commit that to the original.
357 00:31:08.730 ⇒ 00:31:12.310 Akshay kumar.G: like the full request or something. So I just have added each.
358 00:31:12.580 ⇒ 00:31:20.340 Jakob Kagel: Well, I think you have to commit it, and then like, change it, basically if it if it breaks, I mean, I I hear what you’re saying that like.
359 00:31:21.070 ⇒ 00:31:28.039 Jakob Kagel: but yeah, I don’t know. I mean all your everything on the left there that has you is like untracked. It’s like uncommitted.
360 00:31:30.050 ⇒ 00:31:34.320 Uttam Kumaran: Yeah, I guess I have, like I honestly have no idea what the error was. But
361 00:31:34.410 ⇒ 00:31:37.350 Uttam Kumaran: it’s probably something we can solve like
362 00:31:38.091 ⇒ 00:31:43.220 Uttam Kumaran: so either way, like all this, I would love to get committed into a branch
363 00:31:43.320 ⇒ 00:31:45.510 Uttam Kumaran: on the actual repository.
364 00:31:46.126 ⇒ 00:31:48.360 Uttam Kumaran: So either you need to
365 00:31:48.460 ⇒ 00:31:53.919 Uttam Kumaran: like M. Either you need to continue to do the way you’re currently doing it, whereas you just copy it in
366 00:31:54.925 ⇒ 00:31:55.630 Uttam Kumaran: with.
367 00:31:55.730 ⇒ 00:32:03.030 Uttam Kumaran: But like again, if that if there isn’t, if there’s I didn’t know that there’s still an issue with your local development like we should get through that
368 00:32:03.805 ⇒ 00:32:06.640 Uttam Kumaran: because otherwise this code like can’t really go anywhere.
369 00:32:09.240 ⇒ 00:32:13.909 Uttam Kumaran: so I mean, my suggestion would be to like work with Patrick.
370 00:32:14.554 ⇒ 00:32:19.585 Uttam Kumaran: Most likely to just see how you can get your evidence up to date and running
371 00:32:20.230 ⇒ 00:32:26.790 Uttam Kumaran: or like. We’ll have to schedule time at some point this week, cause I I don’t really have. I? I’m not really aware of what’s going on.
372 00:32:28.650 ⇒ 00:32:30.719 Nicolas Sucari: Yeah. And also, I think it should be
373 00:32:30.800 ⇒ 00:32:36.689 Nicolas Sucari: useful to clean those 2 like to repost that you have cloned on your machine and just use one.
374 00:32:36.810 ⇒ 00:32:37.740 Nicolas Sucari: I think.
375 00:32:38.460 ⇒ 00:32:48.349 Nicolas Sucari: so that every time you need to do something you just can commit, create a branch, commit everything into there and yeah, continue, because if not, you’re gonna like.
376 00:32:48.740 ⇒ 00:32:52.750 Nicolas Sucari: it’s crazy to start copying all of the files into one another.
377 00:32:53.280 ⇒ 00:32:54.200 Nicolas Sucari: I think.
378 00:32:54.640 ⇒ 00:32:55.260 Uttam Kumaran: Yeah.
379 00:32:55.550 ⇒ 00:32:56.250 Akshay kumar.G: Yes, sir.
380 00:32:57.700 ⇒ 00:32:58.190 Uttam Kumaran: So.
381 00:32:58.190 ⇒ 00:32:59.319 Akshay kumar.G: They don’t know how to.
382 00:32:59.640 ⇒ 00:33:00.629 Uttam Kumaran: Yeah. Go ahead.
383 00:33:01.330 ⇒ 00:33:03.609 Akshay kumar.G: Like resolve the error of syntax for.
384 00:33:05.260 ⇒ 00:33:11.654 Uttam Kumaran: Yeah, I don’t. I just don’t know what. I just don’t know what the error is. So without being able to see it, I can’t
385 00:33:12.570 ⇒ 00:33:15.880 Akshay kumar.G: Say, like, you can see this this function like, say.
386 00:33:16.110 ⇒ 00:33:16.880 Nicolas Sucari: Yeah, like.
387 00:33:16.880 ⇒ 00:33:20.269 Akshay kumar.G: Which which basically takes 2 input on them, right? So
388 00:33:20.490 ⇒ 00:33:31.975 Akshay kumar.G: which actually, Jacob created has 3 input arguments with that. So but when I run it locally like it says.
389 00:33:32.830 ⇒ 00:33:33.440 Jakob Kagel: Yeah, you’re Bro.
390 00:33:33.440 ⇒ 00:33:37.389 Akshay kumar.G: Okay, I think around, it takes 3 portion on.
391 00:33:37.830 ⇒ 00:33:43.190 Uttam Kumaran: Yeah, I mean, I I get that. There’s that issue. But like I get that, there’s that issue.
392 00:33:43.290 ⇒ 00:33:49.640 Uttam Kumaran: But I need to know what the error is, and like, I need to know, like exactly like what the error code is.
393 00:33:50.242 ⇒ 00:33:52.369 Uttam Kumaran: And also Julie Jason.
394 00:33:52.370 ⇒ 00:34:19.960 Jakob Kagel: It doesn’t really matter if it’s not committed, I mean at the end of the day. It’s like we have to commit it. And then it’s like, if we still have the error like once it’s committed, then we can like troubleshoot it then. But it’s not really an issue like if you have to use a different syntax on local versus, you know, production or whatnot it. It doesn’t really matter. As long as we haven’t pushed it into production. It’s like we need to commit everything. And then we can see if there are any errors that we need to troubleshoot. Basically.
395 00:34:20.230 ⇒ 00:34:20.870 Uttam Kumaran: Yeah.
396 00:34:21.340 ⇒ 00:34:33.769 Jakob Kagel: I wouldn’t worry about like making syntax changes. I would worry about committing everything, and then, if there’s an error, we can fix it after that. But I wouldn’t worry about trying to like fix stuff in local before committing it. Basically.
397 00:34:36.159 ⇒ 00:34:37.380 Jakob Kagel: does that make sense.
398 00:34:42.739 ⇒ 00:34:44.269 Akshay kumar.G: Yeah, sure, yeah.
399 00:34:46.110 ⇒ 00:35:00.400 Uttam Kumaran: I mean, give it like, give it a shot. But this is why I like the 1 point of feedback, I would say, is. This is why I wanted to try to understand, like how things are working. Because I didn’t know that we that you weren’t working in this specific branch
400 00:35:00.911 ⇒ 00:35:06.890 Uttam Kumaran: so like you, you most likely need to meet with, like Nico and Patrick, and like, try to get through this error.
401 00:35:07.333 ⇒ 00:35:12.660 Uttam Kumaran: And like, if there’s still an error so like someone needs to loop me in and I’ll figure it out
402 00:35:13.027 ⇒ 00:35:14.100 Uttam Kumaran: so like if
403 00:35:14.110 ⇒ 00:35:21.700 Uttam Kumaran: I if you can copy everything over and that works. That’s great. But I wanna make sure that you’re using one repository and using the.
404 00:35:21.700 ⇒ 00:35:22.420 Nicolas Sucari: Branch.
405 00:35:22.420 ⇒ 00:35:26.189 Uttam Kumaran: Issue. Otherwise it’s like all this work. There’s like a risk.
406 00:35:26.300 ⇒ 00:35:27.560 Uttam Kumaran: So
407 00:35:27.700 ⇒ 00:35:29.409 Uttam Kumaran: that would be my
408 00:35:29.560 ⇒ 00:35:40.480 Uttam Kumaran: like suggestion. Like, I, I mean, I can look at stuff in the next few days, if you tell me like exactly like what the error is and things. But I didn’t see anything on slack, so not sure.
409 00:35:44.640 ⇒ 00:35:46.349 Akshay kumar.G: Yeah, sure. I’ll try to fix.
410 00:35:47.630 ⇒ 00:35:52.070 Uttam Kumaran: Yeah, copy it all over, and then just make sure everything’s in that branch, because I also can’t
411 00:35:52.080 ⇒ 00:36:01.969 Uttam Kumaran: take a look at any of the code without having to call you and I can’t like take a look at any of the work that’s been done so far. I don’t want to lose any of that.
412 00:36:02.387 ⇒ 00:36:09.540 Uttam Kumaran: So the number one thing is making sure it’s all committed in a branch in the main repository.
413 00:36:09.630 ⇒ 00:36:16.350 Uttam Kumaran: and then we can kind of slowly fix through whatever errors. If there’s something local with your machine, I’m sure we can fix it.
414 00:36:16.550 ⇒ 00:36:21.350 Uttam Kumaran: I I don’t that I doubt that there’s any serious issues. So yeah.
415 00:36:22.270 ⇒ 00:36:29.149 Nicolas Sucari: I. I can schedule a meeting with Patrick tomorrow. Actually. And we can go through everything and try to. Yeah.
416 00:36:29.533 ⇒ 00:36:42.389 Nicolas Sucari: make it work for you locally and also try to commit everything into a branch so that everyone can see this code. Okay. So I’m gonna ask Patrick at what time is available tomorrow. And we can yeah, go through.
417 00:36:42.790 ⇒ 00:36:58.699 Nicolas Sucari: Go through that. It doesn’t matter the the time that will take. But we need to figure that out so that you can push everything to the repository and there and and so that everyone can see it. Because if not, we’re gonna lose all this code. And yeah, it will be days of work
418 00:36:59.140 ⇒ 00:37:00.420 Nicolas Sucari: thrown to the trash
419 00:37:00.540 ⇒ 00:37:01.310 Nicolas Sucari: late.
420 00:37:02.920 ⇒ 00:37:03.660 Akshay kumar.G: Yeah, sure.
421 00:37:04.140 ⇒ 00:37:04.660 Akshay kumar.G: I don’t.
422 00:37:04.660 ⇒ 00:37:05.500 Nicolas Sucari: Just one.
423 00:37:05.996 ⇒ 00:37:20.460 Nicolas Sucari: Yeah. Sorry. No, no, I I’m trying to find this branch that he’s showing now the evidence sales Page. But this one doesn’t exist right? The is. The other window of this code is the one that we have there in pulpits. Repo.
424 00:37:20.920 ⇒ 00:37:25.930 Uttam Kumaran: Yeah, correct. Yeah, I’m not exactly sure. I assume this is on a separate. Yeah, it’s on a separate.
425 00:37:25.930 ⇒ 00:37:42.700 Nicolas Sucari: Yeah, I think I think this is on a separate repo or something that he cloned before. And it’s not getting published anywhere. And the other versus code window that he showed before is, where is where? Actually we need to copy those files, too, because that that branch I can see it in in Github.
426 00:37:42.800 ⇒ 00:37:43.570 Nicolas Sucari: Yep.
427 00:37:43.990 ⇒ 00:37:46.340 Nicolas Sucari: okay, perfect. Yeah. Okay.
428 00:37:46.853 ⇒ 00:37:56.539 Nicolas Sucari: okay. I’m gonna try to scale that meeting or tomorrow. And yeah, the idea is to clean this up and commit something into a branch so that we can see the code. Okay.
429 00:37:57.920 ⇒ 00:37:58.355 Nicolas Sucari: yeah.
430 00:37:59.520 ⇒ 00:38:00.280 Nicolas Sucari: cool, perfect.
431 00:38:00.280 ⇒ 00:38:02.289 Uttam Kumaran: Yeah, it always looks really good. I’m excited.
432 00:38:02.710 ⇒ 00:38:03.610 Uttam Kumaran: Yeah.
433 00:38:03.840 ⇒ 00:38:08.679 Uttam Kumaran: And then, yeah, I think we’ll probably have next steps, Jacob, on, like
434 00:38:08.690 ⇒ 00:38:11.129 Uttam Kumaran: the pro versus consumer on
435 00:38:11.370 ⇒ 00:38:16.320 Uttam Kumaran: Wednesday. And then, yeah, I mean, ideally, we can just get everything we’ve done so far, basically into
436 00:38:16.370 ⇒ 00:38:18.739 Uttam Kumaran: evidence and as good as it can look.
437 00:38:18.740 ⇒ 00:38:30.249 Jakob Kagel: Yeah, I mean, I can go ahead and start on that. I don’t have to wait till Wednesday for that. So but yeah, of course. Yeah, just let me know. Whatever comes out of that meeting. And yeah, we’ll we’ll continue to push forward on that
438 00:38:30.390 ⇒ 00:38:30.890 Jakob Kagel: cool.
439 00:38:30.890 ⇒ 00:38:31.450 Uttam Kumaran: Okay.
440 00:38:32.250 ⇒ 00:38:34.603 Nicolas Sucari: Yeah, I think there is a task.
441 00:38:35.760 ⇒ 00:38:44.019 Nicolas Sucari: Jacob, that’s yeah in backlog. I’m gonna move it to ready this week so that you can open a branch there
442 00:38:44.160 ⇒ 00:38:46.099 Nicolas Sucari: to start the evidence. Page. Okay.
443 00:38:46.260 ⇒ 00:38:47.589 Jakob Kagel: Okay. Sounds good.
444 00:38:48.460 ⇒ 00:38:49.260 Nicolas Sucari: There it is
445 00:38:49.770 ⇒ 00:38:51.150 Nicolas Sucari: perfect. Okay.
446 00:38:52.910 ⇒ 00:38:54.380 Nicolas Sucari: Don’t think we have
447 00:38:54.400 ⇒ 00:38:55.900 Nicolas Sucari: anything else for now.
448 00:38:57.470 ⇒ 00:38:58.120 Uttam Kumaran: Okay.
449 00:38:58.660 ⇒ 00:38:59.510 Uttam Kumaran: Poof.
450 00:38:59.510 ⇒ 00:39:03.240 Nicolas Sucari: Excellent thanks, guys. Bye, bye, talk to you later.
451 00:39:03.390 ⇒ 00:39:04.749 Jakob Kagel: See you later. See ya.